Define Array In Data Structure And Algorithm Jobs Hiring Now Jobs in Usa

Title : Data QA Engineer

Location: Minneapolis , Dallas , Atlanta (Onsite)

Job Type : Contract

Exp : 8-15 Years

Key Responsibilities:

• Design, build, and maintain automated data quality frameworks to validate accuracy, completeness, consistency, and timeliness of data.
• Develop automation scripts using Python/SQL to test data pipelines, ETL/ELT processes, and analytics workflows.
• Implement data quality checks and monitoring within Azure-based data platforms.
• Work extensively with Azure services (ADF, ADLS, Synapse) and Databricks for large-scale data processing.
• Integrate data quality validations into CI/CD pipelines and support proactive issue detection.
• Perform root cause analysis for data issues and collaborate with data engineering, analytics, and business teams to resolve them.
• Define and enforce data quality standards, metrics, and SLAs.

Required Skills & Qualifications:

• Strong experience (8–15 years) in data engineering, data quality, or data automation roles.
• Hands-on expertise with Azure data ecosystem and Databricks.
• Strong programming skills in Python and SQL.
• Experience building automated data validation and reconciliation frameworks.
• Solid understanding of data warehousing, data lakes, and distributed data processing.
• Familiarity with DevOps/CI-CD practices for data platforms.

Preferred Skills:

• Experience with data observability or data quality tools.
• Exposure to cloud-scale analytics and performance optimization.
• Strong communication and stakeholder management skills.

Staff Structural Engineer

Houston, TX | Full-Time | Engineering

We are seeking a Staff Structural Engineer to join a growing engineering team in Houston, TX. This role offers the opportunity to contribute to a wide range of structural design projects, including new construction and retrofit work, while collaborating with experienced engineers and multidisciplinary teams.

The ideal candidate will have a strong foundation in structural analysis, modeling, and design, along with experience using industry-standard engineering software and tools.

Key Responsibilities

• Assist with structural project design and analysis including PLS-Tower modeling, FEM structure modeling, and reinforcement design
• Support new construction and structural retrofit projects
• Contribute to the development of project budgets, schedules, and man-hour estimates
• Assist with project deliverables from conceptual design through detailed design
• Prepare and develop engineering drawings, layouts, and calculations
• Execute design modifications based on redlines, markups, and project changes
• Analyze reports, maps, drawings, and structural data to support project planning and design
• Apply engineering codes and specifications to ensure compliance with design requirements
• Review drawings and project documentation for quality assurance within scope, schedule, and budget
• Maintain organized documentation of 3D models, drawings, and project files
• Participate in structural design quality review processes, including back-checking drawings and reviewing shop drawings
• Collaborate with cross-functional teams to support project success

Required Qualifications

• Bachelor’s Degree in Structural Engineering or related field (ABET-accredited) with 3+ years of structural engineering experience, OR
• Bachelor’s Degree in Structural or Engineering Technology (ABET-accredited) with FE certification and 3+ years of experience, OR
• Master’s Degree in Structural Engineering with 2+ years of experience

Preferred Skills & Experience

• Strong knowledge of structural engineering principles, methods, and procedures
• Experience with structural analysis and modeling tools such as:
• RISA-3D
• ETABS
• SAFE
• Experience with design and modeling software including:
• AutoCAD
• Revit
• Tekla (BIM tools)
• Proficiency in Microsoft Office Suite
• Strong analytical, problem-solving, and critical thinking skills
• Excellent written and verbal communication abilities
• Strong attention to detail and ability to work in collaborative engineering teams
• Engineer in Training (EIT) certification preferred

Why Join?

• Opportunity to work on complex and impactful structural projects
• Collaborative and technical engineering-focused environment
• Exposure to advanced structural modeling and analysis tools
• Long-term career growth within a dynamic engineering team

Interested candidates are encouraged to apply or connect to learn more about this opportunity.

About Us:

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.

Security Advisory: Beware of Frauds

Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.

As the Data Analyst, Strategic Insights & Visualization you will play a dual role within our data organization: you will be the primary storyteller for our business performance, but you will also be a hands-on technical practitioner responsible for the integrity of our reporting suite. You won’t just build dashboards; you will define the metrics that drive our strategy. Whether it’s untangling a complex business logic request, auditing data quality in our Power BI apps, or partnering with business leaders to prioritize their roadmaps, you will lead with data. If you are a proactive problem-solver who loves to turn raw numbers into actionable business narratives, this is the role for you.

Responsibilities

Technical Execution

• Reporting & Visualization: Act as the primary resource for building and maintaining Power BI reports and dashboards. Personally manage the end-to-end deployment of Power BI Apps, ensuring high performance and intuitive user experiences.
• Metric Logic: Write and optimize the SQL and DAX required for complex business logic. Work with the data engineering team to pull the necessary data across source systems. Take ownership of metric definitions to ensure consistency across all departments, from ERP inventory tracking to Ecommerce sales performance.
• Support & Triage: Manage the support queue for reporting incidents. Investigate data discrepancies, perform root cause analysis on quality issues, and ensure that our "source of truth" remains accurate and trusted by the organization.

Leadership & Operations

• Data Governance: Lead the development and maintenance of the enterprise data dictionary and business glossary. Ensure that all technical terms are translated into clear business language for non-technical stakeholders.
• Quality Control: Define and implement data quality rules and readiness scoring. Monitor data freshness and completeness, proactively alerting the engineering team when pipelines impact reporting SLAs.
• Security & Access: Help define access control and data security within the reporting environment, ensuring that users have the appropriate permissions and that sensitive data is protected according to company standards.

Stakeholder Collaboration

• Business Liaison: Act as the primary bridge between the data team and business leaders. Translate vague requests ("we need better inventory insights") into clear technical requirements and prioritized project milestones.
• Domain Prioritization: Participate in quarterly planning to sequence requests for Ecommerce, ERP, and Operations. Collaborate with the AI/ML team to prioritize use cases and define KPIs for advanced analytics initiatives.
• Self-Service Enablement: Conduct work sessions with business users to promote BI tool adoption and empower departments to perform their own ad-hoc analysis.

Experience, Skills, & Ability Requirements

• Bachelor’s degree in Business Analytics, Statistics, Information Systems, or equivalent professional experience
• 3+ years of hands-on experience in a Data Analyst or Business Intelligence role, preferably supporting Ecommerce or Retail operations.
• Proven track record of translating complex business requirements into robust, automated analytic reports and dashboards.
• Strong SQL skills and the ability to write complex queries to extract and transform data
• Proven proficiency in Power BI and DAX; experience managing Power BI service, workspaces, and app deployments.
• Strong understanding of data modeling concepts, specifically Star Schema and dimensional design.
• Experience with Microsoft Fabric or the Azure data stack.
• Proactive attitude toward data quality and a "details-matter" mindset when auditing reports.
• Excellent communication skills with the ability to explain complex data trends to executive stakeholders.
• Familiarity with Tableau.
• Microsoft Certified: Power BI Data Analyst Associate (PL-300).
• Experience modeling datasets (such as inventory, sales, or web performance) to identify trends, correlations, and performance gaps.
• Knowledge of basic Python for advanced forecasting or data manipulation.

What We Offer

• Health, dental, and vision benefits
• Paid parental leave
• 401(k) with employer match
• A culture of meritocracy that fosters ongoing growth opportunities
• A stable, growing family-owned company that looks after its employees

Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.

Security Advisory: Beware of Frauds

Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.

We are building a Business Operations Center of Excellence, and we need a Product Data Analyst to serve as the "Guardian of the Golden Record." In this role, you are the absolute owner of product data integrity as it relates to the digital customer experience. You ensure that every item we sell is accurately represented across every touchpoint—from our ERP and PIM to our website storefront and marketing feeds. This is not a data entry role; it is a high-impact technical logic and investigation role. You will work directly with our Data Platform and Software Engineering teams to define business rules, audit data health via complex SQL, and troubleshoot data transmission errors before they impact the customer.

Responsibilities

• Storefront Governance: Serve as the absolute owner of product data integrity within the PIM. Ensure that all storefront-critical attributes (pricing, dimensions, weights, image links) are accurate and standardized for a seamless customer experience.
• Technical Data Auditing: Write and run complex SQL queries against our centralized database to identify anomalies, "orphan" records, and data hygiene issues that need resolution. You will be expected to query across multiple schemas to validate data consistency between systems.
• Feed Logic & Mapping: You will manage the logic of how data translates from our PIM to external endpoints. You will ensure that our products appear correctly on Google Shopping, Meta, Amazon, and other marketplaces by managing feed rules and mapping definitions.
• API Payload Analysis: You will act as the first line of defense for data transmission errors. If a product isn't showing up on the site, you will review the JSON/XML response bodies to determine if it is a data payload error or a software code bug.
• Cross-Functional Impact Analysis: You will act as the gatekeeper for data changes, predicting downstream impacts (e.g., "If Merchandising changes this Category Name, it will break the Finance reporting filter").
• Hygiene Logic Definition: You will partner with our IT/Database team to define automated health checks. You identify the "rot" (bad data patterns), and they implement the database constraints to stop it.

What You Will NOT Do (The Boundaries)

• No Web Development: You are not a Front-End Developer. You do not write HTML, CSS, or React code. You ensure the data powering those components is 100% accurate.
• No Manual Data Entry: Your job is not to copy-paste descriptions. You build the systems, bulk processes, and logic that ensure data quality at scale.
• No Database Administration: You do not manage server uptime or schema changes (IT owns this). You own the quality of the records inside the database.

Intersection with Technical Teams

• With IT (Database Mgmt): IT owns the infrastructure and schema; you own the quality of the data within it. When you identify a systemic issue (e.g., "5,000 orphan records"), you partner with IT to implement the technical fix (scripts/constraints).
• With Software Engineering (Commerce): If a product is missing from the site, you check the data payload. If the data is correct, you hand off to Engineering, confirming it is a code/caching bug rather than a data error.

Experience, Skills, & Ability Requirements

• 5-8 years of experience in Data Management, PIM Administration, or technical eCommerce Operations.
• SQL Proficiency: You are comfortable writing queries beyond simple SELECT *. You should be proficient with CTEs (Common Table Expressions), Window Functions (e.g., Rank, Lead/Lag), Subqueries, and complex Joins to act as a forensic data investigator.
• API Fluency: You can read and understand JSON and XML. You know what a valid payload looks like and can spot formatting errors or missing keys.
• Data Manipulation: You are an expert at handling large datasets (CSVs, Excel) and understand data types, formatting standards, and normalization concepts.
• You love hunting down the root cause of an error. You don't just fix the wrong price; you find out why the price was wrong and build a rule to stop it from happening again.
• You have high standards for accuracy. You understand that a wrong weight in the system means a financial loss on shipping for the business.

Bonus Points (Nice-to-Haves)

• Familiarity with Visio/Lucidchart to visualize data flows.
• Ability to build simple dashboards in Tableau to track data health scores.
• Basic familiarity with Python or R for data manipulation.

What We Offer

• Health, dental, and vision benefits
• Paid parental leave
• 401(k) with employer match
• A culture of meritocracy that fosters ongoing growth opportunities
• A stable, growing family-owned company that looks after its employees

Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission

The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.

What you'll do:

• 
  
• Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  
• Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  
• Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  
• Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  
• Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  
• Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  
• Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
  

What we're looking for:

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  
• Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  
• Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  
• Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  
• Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  
• Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

OZ – Databricks Architect/ Senior Data Engineer

Note: Only applications from U.S. citizens or lawful permanent residents (Green Card Holders) will be considered.

We believe work should be innately rewarding and a team-building venture. Working with our teammates and clients should be an enjoyable journey where we can learn, grow as professionals, and achieve amazing results. Our core values revolve around this philosophy. We are relentlessly committed to helping our clients achieve their business goals, leapfrog the competition, and become leaders in their industry. What drives us forward is the culture of creativity combined with a disciplined approach, passion for learning & innovation, and a ‘can-do’ attitude!

What We're Looking For:

We are seeking a highly experienced Databricks professional with deep expertise in data engineering, distributed computing, and cloud-based data platforms. The ideal candidate is both an architect and a hands-on engineer who can design scalable data solutions while actively contributing to development, optimization, and deployment.

This role requires strong technical leadership, a deep understanding of modern data architectures, and the ability to implement best practices in DataOps, performance optimization, and data governance.

Experience with modern AI/GenAI-enabled data platforms and real-time data processing environments is highly desirable.

Position Overview:

The Databricks Senior Data Engineer will play a critical role in designing, implementing, and optimizing enterprise-scale data platforms using the Databricks Lakehouse architecture. This role combines architecture leadership with hands-on engineering, focusing on building scalable, secure, and high-performance data pipelines and platforms. The ideal candidate will establish coding standards, define data architecture frameworks such as the Medallion Architecture, and guide the end-to-end development lifecycle of modern data solutions.

This individual will collaborate with cross-functional stakeholders, including data engineers, BI developers, analysts, and business leaders, to deliver robust data platforms that enable advanced analytics, reporting, and AI-driven decision-making.

Key Responsibilities:

• Architecture & Design: Architect and design scalable, reliable data platforms and complex ETL/ELT and streaming workflows for the Databricks Lakehouse Platform (Delta Lake, Spark).
• Hands-On Development: Write, test, and optimize code in Python, PySpark, and SQL for data ingestion, transformation, and processing.
• DataOps & Automation: Implement CI/CD, monitoring, and automation (e.g., with Azure DevOps, DBX) for data pipelines.
• Stakeholder Collaboration: Work with BI developers, analysts, and business users to define requirements and deliver data-driven solutions.
• Performance Optimization: Tune delta tables, Spark jobs, and SQL queries for maximum efficiency and scalability.
• GenAI Applications Development: It is a big plus to have experience in GenAI application development

Requirements:

• 8+ years of experience in data engineering, with strong hands-on expertise in Databricks and Apache Spark.
• Proven experience designing and implementing scalable ETL/ELT pipelines in cloud environments.
• Strong programming skills in Python and SQL; experience with PySpark required.
• Hands-on experience with Databricks Lakehouse, Delta Lake, and distributed data processing.
• Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP (Azure preferred).
• Experience with CI/CD pipelines, Git, and DevOps practices for data engineering.
• Strong understanding of data architecture, data modeling, and performance optimization.
• Experience working with cross-functional teams to deliver enterprise data solutions.
• Tackles complex data challenges, ensuring data quality and reliable delivery.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Experience designing enterprise-scale data platforms and modern data architectures.
• Experience with data integration tools such as Azure Data Factory or similar platforms.
• Familiarity with cloud data warehouses such as Databricks, Snowflake, or Azure Fabric.
• Experience supporting analytics, reporting, or AI/ML workloads is highly desirable.
• Databricks, Azure, or cloud certifications are preferred.
• Strong problem-solving, communication, and technical leadership skills.

Technical Proficiency in:

• Databricks, Apache Spark, PySpark, Delta Lake
• Python, SQL, Scala (preferred)
• Cloud platforms: Azure (preferred), AWS, or GCP
• Azure Data Factory, Kafka, and modern data integration tools
• Data warehousing: Databricks, Snowflake, or Azure Fabric
• DevOps tools: Git, Azure DevOps, CI/CD pipelines
• Data architecture, ETL/ELT design, and performance optimization

What You’re Looking For:

Join a fast-growing organization that thrives on innovation and collaboration. You’ll work alongside talented, motivated colleagues in a global environment, helping clients solve their most critical business challenges. At OZ, your contributions matter – you’ll have the chance to be a key player in our growth and success. If you’re driven, bold, and eager to push boundaries, we invite you to join a company where you can truly make a difference.

About Us:

OZ is a 28-year-old global technology consulting, services, and solutions leader specializing in creating business-focused solutions for our clients by leveraging disruptive digital technologies and innovation.

OZ is committed to creating a continuum between work and life by allowing people to work remotely. We offer competitive compensation and a comprehensive benefits package. You’ll enjoy our work style within an incredible culture. We’ll give you the tools you need to succeed so you can grow and develop with us and become part of a team that lives by its core values.

Who We Are

At Feetures, movement is our business. And we believe that a meaningful business begins with authentic values—and our values were forged by the bonds of family.

What started as a bold idea around a kitchen table has grown into a fast-moving, purpose-driven brand redefining performance. As a family-owned company in North Carolina, we’re fueled by the belief that better is always possible—and that energy drives both our products and our culture.

Movement is at the heart of everything we do. From our socks to our team and to our communities, we are always pushing forward. If you are ready to grow, challenge the status quo, and help shape the next chapter of a brand that is always in stride, come move with us. Feetures is Meant to Move. Are you?

Role Summary:

The Data Analytics Manager is responsible for owning and optimizing the organization’s end-to-end data ecosystem, ensuring that data infrastructure, governance, and analytics processes effectively support business operations. This role leads the design and management of the data stack—from source system integrations and NetSuite Analytics Warehouse to reporting and business intelligence tools—while establishing strong data governance standards, quality monitoring, and documentation practices. The manager also oversees and mentors analytics team members, prioritizes analytics requests, and coordinates cross-functional data workflows. Acting as the central authority for data reliability and insights, the role ensures consistent metric definitions, scalable data models, and accurate reporting while translating complex data into clear, actionable insights for business stakeholders.

Responsibilities:

Data Architecture & Tooling

• Own the end-to-end data stack — from source system integrations and the NetSuite Analytics Warehouse to downstream reporting layers
• Evaluate, select, and implement tools that improve data accessibility, reliability, and performance
• Ensure alignment between data infrastructure and evolving business needs across distribution operations
• Design and maintain scalable data models, SuiteQL queries, and saved searches within NetSuite

Data Governance & Quality

• Define and enforce data standards, metric definitions, and naming conventions across all business domains
• Establish data ownership, lineage documentation, and access governance policies
• Implement monitoring and alerting for data quality issues across source systems and the warehouse
• Build and maintain a data dictionary that serves as the single source of truth for the organization

Orchestration of Analysts & Systems

• Manage and mentor the Data Analyst and Business Analyst — prioritizing requests, unblocking work, and validating outputs
• Triage and prioritize the analytics request queue in alignment with business stakeholders and IT leadership
• Coordinate cross-functional data workflows and ensure handoffs between systems and analysts are clean and documented
• Serve as the escalation point for data discrepancies, report failures, and analytical questions from the business

Qualifications:

Required

• 3-5 years of experience in data analytics, business intelligence, or data engineering
• 2+ years in a lead or management role overseeing analysts or data team members
• Strong proficiency in SQL; experience with SuiteQL or similar ERP query languages
• Hands-on experience with NetSuite, including Analytics Warehouse, saved searches, and reporting
• Proven track record establishing data governance standards and documentation practices
• Experience integrating and managing multiple data sources across SaaS and ERP platforms
• Demonstrated ability to translate complex data into clear, actionable insights for non-technical stakeholders

Preferred

• Experience in distribution, wholesale, or supply chain environments
• Familiarity with SaaS BI platforms (e.g., Tableau, Power BI, Looker, or embedded analytics)
• Exposure to scripting or automation (JavaScript, Python, or similar) for data workflows
• Background working within IT-led or hybrid IT/Analytics teams

Benefits:

• Health insurance
• Dental insurance
• Vision insurance
• Life & Disability insurance
• 401(K) with company match

Company Paid holidays and PTO:

• Feetures offers 20 PTO Days which are available to you on day one of employment and are available to all employees, no matter your role. After working at Feetures for 5 years, your PTO days will increase to 25 days. Days can be used for vacations, appointments and sick days.
• We offer 10 company paid holidays and 1 floating holiday per year.

Perks:

• Parking provided (Charlotte office and onsite at Hickory office)
• Employee Engagement team
• Monthly stipend to pursue an active lifestyle

Feetures is an Equal Opportunity Employer that welcomes and encourages all applicants to apply regardless of age, race, sex, religion, color, national origin, disability, veteran status, sexual orientation, gender identity and/or expression, marital or parental status, ancestry, citizenship status, pregnancy or other reasons protected by law.

Role : Technical Product Manager ( Data Analytics )

Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)

Exp Req : 10+

Rate : $55/Hr on W2 Max

Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.

Original JD:

• Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
• You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with our Data Science team to define metrics, datasets, and automation strategy
• Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
• Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
• Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management

Key Qualifications :

• Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
• Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
• Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
• Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
• Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.

Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)

Description :

• Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.

Stephen

Lead Talent Acquisition Specialist

Email :

“Let goodness, fairness, and most importantly, love prevails in business; profits will inevitably follow.” – NK Chaudhary, founder

What we do for our team members:

• Comprehensive Benefits: Company Paid Holidays, PTO, Parental Involvement Leave, Maternity/Paternity Leave, EAP, No Cost Employee Medical Plan, Vision, Dental, and Company Paid Life Insurance. We also include a match on retirement (401K/Roth).
• Career Development: We're committed to providing growth for career development within the company, supporting our team members' aspirations with a well-defined succession plan that includes a variety of training and development opportunities.
• Pet-Friendly Workplace: We welcome your furry friends! Our 'Bring Your Dogs to Work' policy creates a pet-friendly atmosphere, allowing our team members to enjoy the companionship of their dogs during the workday.
• Wellness Support: Not only do we support an active lifestyle with our on-site basketball court and yoga studio, but we host quarterly mental health events to assist in creating a well-rounded work-life harmony for our team members.
• Sustainability Efforts: Reuse, Renew, and Refresh by joining our Green Team! Responsible for harvesting from the organic community garden, donating goods to local pet shelters and schools, creating educational workshops, leading nature walks, and much more, they promote well-being through sustainable practices.

Our Values

Empowerment • Inclusiveness • Responsibility • Progressive

Learn more about our company story here: Jaipur Rugs Foundation

Since 2004, the Jaipur Rugs Foundation has worked to improve the lives of rug-weaving artisans in India. This is done through training, skills development, and social interventions. By focusing on the ideas and solutions that create social value, the Foundation supports the dignity and heritage of these traditional artisans, believing that healthy and sustainable communities are key to the survival of traditional rug weaving. Jaipur Living has made ethical and socially conscious global citizenship the foundation of its business. Through social initiatives and the Jaipur Rugs Foundation, the company supports a supplier ecosystem without a middleman of more than 40,000 artisans in 700 villages across India by providing them with a livable wage, access to health care, leadership education, and opportunities for personal growth and development. Combining time-honored techniques and of-the-moment trends, every Jaipur Living product is as ethically and responsibly made as it is beautiful.

Learn more about the Jaipur Rugs Foundation here: are a fast-growing, design-led B2B home décor and textiles brand with big ambitions. Over the last 12 months, we have revolutionized our technical foundation, investing in Microsoft Dynamics 365 (F&O) and a Microsoft Fabric ecosystem. We are now looking for a seasoned leader to refine our existing infrastructure, optimize our end-to-end data workflows, and bridge the gap between "raw data" and "reliable business intelligence."

This role demands a strong balance of technical depth and operational management. While you must possess expert-level proficiency in data engineering, specifically within the Microsoft Fabric ecosystem and modern data platforms, we also need a leader who is experienced in analytics, data visualization, BI, and translating business needs into analytical solutions. You will be responsible for defining and executing an outcome-based Data & Analytics strategy, building and developing a global team of data engineers, BI developers, and data analysts, and ensuring the company has trusted, scalable, and decision-ready data at every level of the organization. The ideal candidate is a Fabric-certified or Fabric-trained leader, an exceptional communicator, and a proven people manager who can balance hands-on technical depth with strategic leadership.

Key Responsibilities:

Strategic Management & Outcome-Based Delivery

• Tactical Roadmap: Develop and execute a multi-year roadmap that aligns data engineering, BI, and advanced insights with business priorities (e.g., inventory efficiency, margin protection, and growth).
• Process Standardization: Define what “good” looks like for data reliability, documentation, insight quality, and business impact
• Baseline Maturity: Shift the organization from ad-hoc reporting to repeatable, trusted, decision-ready data products
• Advance Automation: Assess the current-state landscape and define a clear path from foundational reporting to automated, predictive analytics.
• Executive Communication: Serve as the single point of accountability for all data and analytics capabilities, translating technical progress into business-relevant implications across the organization

Infrastructure Optimization & Fabric Engineering

• Systemic Optimization: Lead the audit and refinement of the existing Fabric environment (Lakehouse, Pipelines, Notebooks) to improve overall performance, stability, and refresh reliability
• Engineering Standards: Set the "gold standard" for architecture, data modeling, testing, and deployment (CI/CD), ensuring the stack is hardened for enterprise-scale growth
• Reduce Manual Effort: Minimize operational risk by standardizing pipelines, refresh processes, and metric calculations
• Automation & Reliability: Systematically identify and eliminate manual reporting and spreadsheet-based workflows through robust automation in PySpark and Fabric
• Proactive Governance: Establish monitoring, alerting, and exception-handling processes to manage data quality and refresh failures before they impact the business

Analytics & Decision Enablement

• High-Quality BI Delivery: Oversee the design and delivery of visually appealing Power BI dashboards that simplify complexity and adhere to our design-led brand standards
• Metric Governance: Ensure KPI definitions and reporting logic are consistent across the company, acting as the arbiter of "the truth" for business metrics
• Advanced Analytics: Identify and operationalize high-value use cases for predictive analytics (e.g., demand forecasting, product lifecycle analysis) as platform maturity increases
• Business Translation: Partner with business leaders to translate business requirements into scalable, intuitive, impactful analytics solutions
• Business Evolution: Lead the transition from descriptive and diagnostic reporting to forward-looking insights that support planning and decision-making

Global Team Leadership & Talent Development

• People Leadership: Directly lead and develop a 3–5 person global team (primarily based in India), establishing clear roles, accountability, and a high-performance culture
• Skill Development: Create career paths and skill-development plans for engineers and analysts to ensure consistent, high-quality delivery
• Operating Model: Build a scalable offshore capability that delivers at speed while maintaining rigorous standards for code quality and documentation

Skills & Minimum Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions.

• 10+ years of experience in data engineering, analytics, or BI, with director-level scope or equivalent ownership
• Deep hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Notebooks, semantic models)
• Fabric certification or formal Fabric training strongly preferred
• Strong experience with PySpark and Spark-based transformations
• Strong understanding of Azure data services and modern data architectures
• Exceptional dashboard-development skills using Power BI; portfolio-quality experience preferred
• Strong understanding of data storytelling, executive-ready visualization, and intuitive UI/UX design
• Experience gathering business requirements and translating them into analytical products
• Proven experience leading and developing global / offshore teams
• Strong communicator with the ability to influence at senior levels
• Experience supporting ERP-driven environments; Dynamics 365 preferred
• Ability to juggle strategy, execution, and stakeholder communication simultaneously

Success Measures (First 12–18 Months)

• Strategy Execution: An outcome-based Data & Analytics strategy that is fully operational and tied to business outcomes
• Optimized Infrastructure: A trusted, scalable Fabric platform with significantly reduced manual reporting and 99%+ data availability
• Dashboard Adoption: A suite of high-quality dashboards used daily and weekly by business leaders to drive decision-making
• Team Growth: A high-performing global team with a track record of delivering complex analytics products with speed and precision

Physical Requirements:

• Remaining in a seated position for long periods of time
• Standing is to remain on one’s feet in an upright position without moving about
• The ability to alternate between sitting and standing is present when a worker has the flexibility to choose between sitting or standing as needed when this need cannot be accommodated by schedules breaks and/or lunch period
• Lifting and transporting items that could weight up to 25 pounds
• Entering text or data into a computer by means of a traditional keyboard
• Expressing or exchanging ideas by means of the spoken work to impart oral information to clients and talent and convey detailed spoken instructions to other workers accurately and quickly
• The ability to hear, understand, and distinguish speech and/or other sounds such as in person and telephone
• Clarity of vision to see computer screens and workspace

Job Summary:

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in Irving, Texas.

Duties:

• Support cross-functional teams including Marketing, Data Science, Product, and Digital
• Build datasets that power: customer segmentation, personalization workflows, campaign and lifecycle analytics, BI dashboards and KPIs and real-time and ML-driven customer experiences
• Build, optimize, and maintain customer data pipelines using PySpark/Databricks
• Transform raw customer data into analytics‑ready datasets for reporting, segmentation, personalization, and AI/ML applications
• Develop customer behavior metrics, campaign insights, and lifecycle reporting layers
• Design datasets used by Power BI/Tableau; dashboard creation is a plus, not required
• Optimize Databricks performance such as: skewed joins, partitioning, sorting, caching/persist strategy
• Work across AWS/Azure/GCP and integrate pipelines with CDPs
• Participate in ingestion and digestion phases to shape MarTech and BI analytical layers
• Document and uphold data engineering standards, governance, and best practices across teams

Desired Skills/Experience:

• 6+ years in Data Engineering or Analytics Engineering
• Strong hands-on experience with: Databricks, PySpark, Python and SQL
• Proven experience with customer/marketing data: segmentation, personalization, campaign analytics, retention, behavioral metrics
• Ability to design performance‑optimized pipelines; batch or near real-time
• Experience building datasets consumed by Power BI/Tableau
• Understanding of CDP workflows, customer identity data, traits/feature modeling, and activation
• Strong communication skills, translating marketing needs into technical data solutions
• Power BI expertise, major plus
• Experience with Delta Lake, orchestration, or feature engineering for ML
• Background as an Analytics Engineer, BI/Data Modeling Engineer, or Data Engineer with strong analytics orientation

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $140,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

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