What Is Technical Data Jobs in Usa

• This is a W2/ Hybrid requirement, local candidates from MA are needed.

We are seeking an experienced Senior Technical Project Manager to lead enterprise-level Data Modernization initiatives within the Enterprise Data Management & Engineering team. The role focuses on managing complex data and cloud projects involving AWS, Snowflake, data pipelines, enterprise data catalog, and AI-driven solutions.

Key Responsibilities:

• 5+ years of experience in technical project management and programming.
• Experience managing data engineering, data warehousing, analytics, or system integration projects.
• Strong knowledge of AWS, Snowflake, data services, and AI/ML concepts.
• Experience working with Agile/Scrum and Waterfall methodologies.
• Excellent communication and stakeholder management skills.
• Experience in healthcare, payer, or government sector projects is a plus.
• Lead end-to-end project lifecycle including planning, execution, monitoring, and delivery.
• Manage data platform initiatives such as data integration, pipeline automation, and enterprise data catalog implementation.
• PMP or Scrum Master certification preferred.

Technical Product Manager - Data & ML Infrastructure

A stealth-mode AI startup is looking for a Technical Product Manager to join a team of engineers and researchers from Google and Frontier AI labs. You'll be leading the build and strategy of foundational systems that power machine learning and data-intensive applications, tackling problems where performance, reliability, and scale matter.

The Technical Product Manager will sit at the intersection of product, engineering, and AI research. They will define the roadmap for core data and ML infrastructure, work closely with engineering teams to translate ambitious technical goals into actionable plans, and engage directly with customers to ensure solutions solve high-impact problems.

This is not a typical PM role. The ideal candidate will need deep technical understanding of data systems, ML infrastructure, and pipelines, paired with the ability to prioritize and advocate relentlessly for customer needs. They’ll thrive in an environment where ambiguity is high, and technical decisions have immediate real-world impact.

The ideal candidate will have:

• 3+ Years' Product Management experience
• Strong technical background with experience in software engineering or ML systems
• Deep knowledge of data and ML infrastructure, including pipelines, storage, and compute
• A proven track record of working directly with customers to understand and solve real problems
• Excellent problem-solving and prioritization skills in fast-moving environments
• The ability to balance technical feasibility, user value, and long-term product vision

This role offers the chance to help shape the backbone of cutting-edge ML applications, working alongside a team with deep expertise in AI and engineering. It’s a high-ownership, high-impact role for someone who loves both building and defining technically complex products.

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

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:

Hiring: Technical Analyst II (1477466) – Atlanta, GA (Hybrid)

We are hiring a Technical Analyst II for our direct client in the automotive industry. This role focuses on production monitoring, incident response, and ensuring operational stability across multiple enterprise platforms.

Location: Atlanta, GA (Hybrid – 2 days onsite if local)

Duration: Mar 2026 – Dec 2026 (Potential extension)

Pay Rate: $51 – $60/hr on W2 + benefits

Experience Required: ~5 years

Key Skills

• ServiceNow / ITSM ticketing

• SQL & Data Analysis

• Monitoring tools & production support

• Incident management & troubleshooting

• Customer support experience

Key Responsibilities

• Monitor production systems, pipelines, and scheduled jobs to ensure operational stability

• Identify and resolve failed jobs, stuck records, and processing issues

• Perform data validation and troubleshoot data integrity issues across systems

• Investigate integration failures involving ETL pipelines, SFTP/FTP transfers, and cloud storage systems

• Respond to production incidents and collaborate with engineering and DevOps teams

• Support onboarding of new integrations and operational workflows

• Maintain documentation and ensure compliance with operational procedures

This role is ideal for professionals with strong production support, SQL troubleshooting, monitoring tools, and ITSM experience who enjoy solving complex technical issues.

Interested candidates can share their resume or reach out to learn more about the opportunity.

Onsite Monday-Thursday, Remote Fridays. About 25% travel

Our company is expanding our Data Center Build & Critical Environment practice, and we’re looking for a Data Center/Construction Solution Architect who can bridge the gap between business needs and physical data center realization.

In this role, you will architect services to produce high availability, high density, and construction-ready solutions across power, cooling, white space, and life-safety systems. You’ll guide clients through complex infrastructure decisions, lead technical scope development, partner with engineering and construction teams, and ensure the services you design perform as intended through commissioning and handover.

If you enjoy shaping mission critical environments, influencing system topologies, and pushing data center capabilities forward—this is the role.

Requirements:

•Bachelor’s or Master’s degree in Mechanical or Electrical Engineering, Industrial Engineering, or Construction Management.

•5+ years in data center design, mission critical construction, critical facilities engineering, or commissioning, preferably in hyperscale or colocation data centers.

•Strong understanding of UPS systems, switchgear, generators, chilled water/DX cooling, containment, fire & life safety, and high density/GPU cooling trends.

•Familiarity with Tier standards, TIA 942, ASHRAE TC 9.9, NFPA codes, and data center design and operational best practices.

•Ability to develop and defend CAPEX/OPEX models, evaluate vendor bids, and write detailed technical SOWs.

• •Skilled at simplifying complex engineering decisions for non-technical leaders and driving alignment across multiple stakeholders.

Position: Senior Data Analyst

Location: Hybrid 3 days/week in Boston, MA

Duration: 6+ month contract with possibility for extensions

We are seeking a skilled and detail-oriented Senior Data Analyst to support the documentation and optimization of email distribution standards, processes, and governance. The ideal candidate will play a critical role in analyzing, documenting, and streamlining the integration flow of platforms. They will also engage with business units to document and create business processes that support automated distribution list changes.

Key Responsibilities:

• Collaborate with platform teams, business leads, and stakeholders to understand and document the integration flow of platforms related to email distribution.
• Develop clear and comprehensive process flows, diagrams, and documentation to outline email distribution list processes and governance.
• Work closely with the Project Manager to gather and document requirements from business stakeholders, ensuring alignment with organizational goals and compliance standards.
• Analyze existing email distribution processes to identify inefficiencies and recommend improvements.
• Ensure all documentation is accurate, up-to-date, and accessible to relevant teams.
• Act as a liaison between technical teams and business stakeholders to ensure seamless communication and understanding of requirements.
• Demonstrate a conceptual understanding of distribution lists, their purpose, and their role in email communication workflows.
• Understand integration patterns and how systems and platforms interact to support email distribution processes.
• Possess a working knowledge of Active Directory and its role in managing user access, groups, and distribution lists.

Qualifications:

• Proven experience as a Data Analyst, Business Analyst, or a similar role, with a focus on process documentation and data integration.
• Strong skills in creating process flows, diagrams, and technical documentation.
• Excellent communication and interpersonal skills to engage effectively with cross-functional teams and stakeholders.
• Familiarity with email distribution systems, distribution list management, Active Directory, data governance, and compliance standards.
• Solid understanding of integration patterns and the ability to document platform interactions effectively.
• Ability to work independently and manage multiple tasks in a fast-paced environment.
• Proficiency in tools such as Microsoft Word, PowerPoint, Visio, or similar software for process mapping and documentation.

Job Title: Data Engineer

Location: 100% Remote

Employment Type: W2 Contract, 6 Month Contract with possibility of extension

Pay Rate: $50.00 – $55.00/hour

Role Overview:

BEPC is seeking a Data Engineer to support our client by designing, building, and optimizing scalable data pipelines and architectures. This role is ideal for a technically strong professional who thrives in a collaborative environment and enjoys working with large datasets, cloud platforms, and modern data technologies to drive business insights.

Key Responsibilities:

• Design, develop, and maintain ETL pipelines for large-scale structured and unstructured data.
• Build and optimize data architectures, models, and database systems for performance and scalability.
• Develop data solutions using cloud platforms (AWS, Azure, or GCP).
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Ensure data quality, integrity, and security, especially with sensitive datasets.
• Integrate data from multiple sources including databases, APIs, and flat files.
• Support analytics and machine learning initiatives with clean, reliable datasets.
• Troubleshoot and resolve data pipeline and performance issues.
• Document systems, workflows, and processes for maintainability and knowledge sharing.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in data engineering or similar roles.
• Strong experience with ETL processes and data pipeline development.
• Proficiency in SQL and Python.
• Experience with Databricks, Apache Spark, or similar big data tools.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Strong understanding of database design and optimization.
• Experience working with large-scale and distributed data systems.
• Advanced English communication skills.

Preferred Qualifications:

• Experience with real-time data processing or streaming technologies.
• Familiarity with industrial data systems (e.g., PLCs, LabVIEW).
• Exposure to machine learning workflows or data science collaboration.
• Knowledge of data governance and compliance standards.

**Travel Role up to 75%** 3 weeks onsite/1 week work from home**

SITE MEP Technical Coordinator

The SITE MEP Technical Coordinator will work alongside a Sr. MEP Technical Coordinator and work with the customer as electrical equipment (UPS and Switchgear) is being installed at the customer. He or she shall understand the design documents, specifications, references, drawings, submittals, equipment lists, Arc Flash Studies, startups and commissioning compliance documents and all owner project requirements and develop and create strategies for successful installation of the electrical equipment. The SITE MEP Technical Coordinator’s role will support in coordinating the owner’s project requirements (OPR) with the onsite activities to ensure compliance and work with the commissioning authority or the owner designated representative along with the Project Team. Based on their engineering training and expertise, they will need to be able to troubleshoot and invent and create solutions. They will be an onsite representative of the client onsite and with a roughly 60/40 technical/coordination split.

Responsibilities:

• Project Planning: Review contract documents, including but not limited to drawings, submittals, equipment list, Arc Flash studies, startups & commissioning compliance to ensure they meet the basis of the design.
• Communication: Strong communication skills between field staff and other stakeholders
• Quality Assurance: verification processes to ensure that systems meet project requirements including installation means and methods
• Assist in project status and information in the form of formal briefings, on the weekly MEP call
• Attend regular project meetings to address action items and project schedule.
• Understand site safety including LOTO and PPE
• PMQ, punch list item closeout
• Assist w/ yellow tag inspections
• Represents company in a professional manner, self-motivated productive, and enthusiastic team member
• Must be dependable to achieve the target within the established time frames

Required Skills and Education

• Engineering degree (electrical and/or mechanical) (may be learned from job experience and other instruction)
• Professional Engineer (PE) Project Management Professional (PMP), Certified Electrical Engineer (CEE), (electrical and/or mechanical) Electrical Journeyman, electrical-related Trade School (may be learned from job experience and other instruction)
• 8+ years of construction background, preferably electrical.
• 2+ years of Site Super/PM experience
• Commissioning exposure/experience with data center equipment is a plus
• Proficient in Procore.
• Understand the functionality of ATS, UPS, Switchgear.
• Adept at reading blueprints and associated building information - submittals/specs/one-line
• Strong knowledge of Microsoft, projects, workbooks, excel, word and outlook, Adobe/PDF editing
• Ability to work effectively with co-workers across all business units.
• Willing to travel within the continental United States

Qualifications/Experience/Certifications

• Installation and field experience in the electrical industry including data center work or commissioning data center equipment, data center installation, FSR-type work
• OSHA 30 within the first 30 days of employment
• NFPA 70E training within the first 30 days of employment
• First Aid/CPR