What Is Technical Data Jobs in Usa

Schedule: Part-Time | Monday – Thursday | 8:00 AM – 5:00 PM

Work Arrangement: Hybrid (2 days in office – typically Wednesday & Thursday)

Pay Rate: $25.00/hour

Under the general direction of the Director of Operations Engineering Services, the Technical Assistant provides complex and specialized administrative support to the Operations Engineering Services (OES) department. This role supports departmental documentation, reporting, information management, and project coordination while helping ensure efficient workflow and communication across the team.

The Technical Assistant will also provide occasional support to the division Executive Assistant as needed.

Key Responsibilities

Administrative & Operational Support (50%)

• Provide administrative support to the Operations Engineering Services department
• Order office supplies and manage inventory
• Process incoming and outgoing communications including mail, email, and voicemail
• Schedule meetings and maintain department calendars
• Coordinate visitor activities, catering, and travel arrangements
• Prepare meeting materials and assist with general office logistics

Reporting & Data Management (10%)

• Produce routine and ad hoc reports (daily, weekly, etc.)
• Gather and organize data from multiple sources
• Review data for accuracy and distribute reports in appropriate formats

Tracking & Documentation (10%)

• Maintain departmental tracking tools and documentation systems
• Research, organize, and summarize relevant data
• Prepare associated reports and documentation as required

Event & Meeting Coordination (20%)

• Coordinate internal and external operations events
• Schedule conference rooms and secure hosts
• Prepare presentation materials and handouts
• Escort guests and manage event logistics

Project Coordination (10%)

• Participate in project team activities including planning, documentation, testing, and reporting
• Support requirements gathering and project communication
• Represent the Operations Engineering department in meetings and collaborative initiatives

Additional Responsibilities

• Attend business meetings and collaborate with colleagues to identify operational improvements and best practices
• Support departmental initiatives and cross-functional collaboration
• Adhere to company core values, policies, and safety programs
• Perform additional administrative duties as assigned

Minimum Qualifications:

Education

Associate degree in Business Administration, Information Technology, or related field, or equivalent education and experience.

Experience

• Minimum 3+ years of administrative or technical administrative experience
• Experience supporting teams within a medium to large corporate environment

Technical Skills

• Microsoft Office Suite
• Outlook (advanced calendaring and scheduling)
• Excel
• PowerPoint
• SharePoint experience preferred

Additional Skills

• Strong organizational and multitasking abilities
• Excellent written and verbal communication skills
• Ability to maintain a high level of confidentiality and data integrity
• Strong critical thinking and problem-solving abilities
• Ability to work independently and prioritize tasks in a fast-paced environment
• Comfortable collaborating with teams across multiple levels of the organization

Important Notes:

• All interviews for this role will be conducted on camera with both Swipejobs and the client and will be recorded for future reference.
• We are unable to sponsor applicants requiring work authorization or visas for positions currently available. Only candidates who already possess the legal right to work in the United States will be considered.

About the Company

We're a collaborative and forward-thinking company where your analytical skills will directly impact our success.

About the Role

Are you an Administrative Assistant with a knack for numbers and a passion for turning insights into action? Do you love diving deep into spreadsheets and unearthing valuable trends? We're looking for a Data Analyst to join our team and help us make smarter decisions!

Responsibilities

· Analyze and Interpret Data: You'll be a data detective, meticulously examining information to find patterns, anomalies, and key insights that drive business decisions.

· Collaborate and Communicate: Work closely with different departments to understand their data needs, present your findings clearly, and help translate insights into strategic actions.

· Identify Opportunities: Spot trends that could lead to increased efficiency, cost savings, or new revenue streams.

· Ensure Data Integrity: Play a key role in maintaining the accuracy and reliability of our data.

Qualifications

· A few years of experience in an Administrative Assistant, Data Analyst role or similar, where you regularly worked with large datasets.

Required Skills

· A strong understanding of Microsoft Excel, including, VLOOKUPs, conditional formatting, and data visualization (charts, graphs).

· Strong analytical and problem-solving skills; you love a good puzzle!

· The ability to communicate complex data findings in a clear, concise, and engaging way to both technical and non-technical audiences.

· A meticulous eye for detail and a commitment to data accuracy.

Preferred Skills

· Background working with data in Excel

Pay range and compensation package

Ready to build upon your data analysis skills? Apply today and help us unlock the power of our data!

Mid-Level Technical Writer (Engineering SME)

Palo Alto, CA

Hybrid

Role Summary

The Mid-Level Technical Writer will support the development of validation test reports, test plans, procedures, and related documentation in close coordination with Auto OEM engineering teams and the Senior Lead. The role requires technical fluency and the ability to transform raw data and engineering input into clear, organized, and accurate documentation.

Key Responsibilities

• Prepare and update validation test reports based on engineering inputs and test data
• Support creation and maintenance of test plans, procedures, and setup documentation
• Organize complex technical information into structured report formats
• Work with engineering teams to ensure documentation accuracy and completeness
• Support revisions, document updates, and alignment to agreed templates and standards
• Assist in creation of diagrams, visuals, and setup descriptions as needed
• Track and manage assigned work using Auto OEM tools and workflows

Required Qualifications

• Bachelor’s degree in engineering or a related technical field
• Experience in technical writing for engineering, manufacturing, testing, or product development environments
• Ability to understand engineering concepts and translate them into well-structured technical documents
• Experience supporting documentation such as test reports, test plans, procedures, work instructions, or validation records
• Strong written communication and organizational skills
• Must be able to work in a hybrid onsite U.S. model

Preferred Qualifications

• Prior experience in automotive or EV programs
• Exposure to validation, systems engineering, hardware testing, or product verification documentation
• Experience supporting technical diagrams or setup illustrations

Role:

The Technical Product Manager, Functional AI, will lead the definition and delivery of AI solutions that transform our core business functions, including Finance, HR, Legal, Marketing, and others. This role bridges functional expertise and technical execution—partnering with business leaders to identify opportunities, shaping requirements into scalable AI solutions, and ensuring adoption that delivers measurable value. The Technical Product Manager will collaborate closely with engineers and data teams to design, pilot, and scale solutions, while maintaining clear visibility into ROI and impact for leadership. Success in this role requires strong product management discipline, applied AI expertise, and the ability to translate complex technical concepts into business outcomes.

Responsibilities:

Product Management & Business Partnership:

• Lead discovery and scoping sessions with business stakeholders across corporate functions (Finance, HR, Marketing, etc.) to identify high-value AI opportunities.
• Build strong relationships with functional leaders to understand workflows, pain points, and success measures.
• Translate business requirements into clear technical requirements that guide design, engineering, and vendor evaluation.
• Drive user experience design by ensuring solutions are intuitive, accessible, and aligned with employee needs.
• Prepare clear documentation of requirements, workflows, and decision rationale to support transparent delivery.
• Lead Agile sprint planning, backlog grooming, and retrospectives to ensure timely and high-quality delivery of product features in collaboration with cross-functional teams.

AI Solution Design & Delivery Support:

• Partner with engineers to shape solution approaches, balancing build/buy/partner considerations.
• Contribute to solution architecture discussions, ensuring designs are scalable, secure, and compliant with standards.
• Collaborate closely with delivery teams to validate functionality against requirements, proactively evaluate feature effectiveness and accuracy, and resolve scope or design ambiguities to ensure product quality and alignment with user needs.
• Support testing, pilot deployment, and adoption efforts, incorporating user feedback into iterative improvements.
• Document and communicate lessons learned, value metrics, and impact stories to demonstrate business outcomes.

Value & Impact Measurement:

• Define success metrics and measurable outcomes for each AI initiative in partnership with business stakeholders.
• Work closely with the Data Analytics team to design and maintain value tracking reports and dashboards.
• Monitor adoption, efficiency gains, and ROI, and proactively identify areas for improvement.
• Present value realization updates to leadership, ensuring clear visibility into the business impact of AI solutions.

Qualifications:

• At least 5 years of experience in technical product management with a minimum of 2 years in AI-related products.
• Bachelor’s and Master’s in Computer Science, Physics, Engineering, or associated quantitative fields.
• Have proven experience and knowledge of corporate functions (Finance, HR, Legal, Marketing, etc.)
• Exceptional facilitation and communication skills—comfortable running discovery sessions, white-boarding with PMs, and demoing prototypes to senior leaders.
• Demonstrated product-management mindset: roadmap ownership, KPI definition, and budget/risk trade-off communication.
• Hands-on experience leading change initiatives and measuring adoption by teams.
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• Ability to articulate technical concepts to non-technical stakeholders
• Deep understanding of AI applications, tools, and methodologies
• Proven ability to apply AI/ML techniques (e.g., NLP, document intelligence, predictive modeling, generative AI) to solve business problems in corporate functions.
• Hands-on experience with modern AI/ML tools and platforms (e.g., OpenAI, Azure AI, AWS SageMaker, AWS Bedrock or similar).
• Familiarity with the latest trends in AI (e.g., agentic AI, multimodal models, RAG) and ability to evaluate their relevance for client use cases.

• Technical role focused on supporting market data applications and data feeds.
• Works in a cross-business technology unit collaborating with teams across APAC, EMEA, and North America in a follow-the-sun support model.
• Focus on issue resolution, process improvements, and product rollouts across multiple asset classes.

Key Responsibilities

• Provide support for core Market Data services and applications including:
• Open Bloomberg, LSEG Workspace, FactSet, Arcontech Excelerator, Market Axess and other platforms
• Provide technical support for broker and trading applications, including:
• Tradeweb, ICAP, Brokertec, Tullett Prebon, Tradition
• Coordinate vendor software packaging, including: Scripting, QA testing, Production releases
• Monitor production environments proactively and manage system changes.
• Participate in process improvement and hygiene metrics reviews.
• Manage daily operations, incident resolution, and change management activities.
• Work with engineering and build teams for smooth transition from project delivery to BAU (Business as Usual).
• Collaborate with external vendors to drive application strategy and support delivery.
• Take full ownership and accountability for issues and ensure vendors resolve root causes.

Essential Skills

• Experience with virtual desktop environments and streaming platforms.
• Strong proficiency in Microsoft Office tools.
• Knowledge of TCP/IP networking and connectivity troubleshooting.
• Strong communication skills to interact with traders, support teams, and vendors.
• Experience handling technical troubleshooting and high-priority incidents.
• Understanding of change management frameworks and ticketing systems.
• Knowledge of scripting languages such as:
• PowerShell
• Visual Basic
• Strong documentation and knowledge management practices.
• Self-motivated with strong time management and customer-focused approach.
• Ability to work independently and within teams under pressure.

• At least 3-year experience as architect for large scale cloud data projects involving minimum 3 technological tracks as mentioned above in hyper scaler platforms.
• Minimum 6 years’ expertise in data and analytics area.
• Deep understanding of databases and analytical technologies in the industry including MPP and NoSQL databases, Data Lake, Data Warehouse design, BI reporting and Dashboard development.
• Experience of Data architecture, data governance, data quality standards, and data security practices in at least 2 implementations.
• Experience in customer data models and developing KPIs out of customer data.
• Experience in customer facing roles to provide Solutions for Data use cases.
• Certification in the Cloud based data stack.
• Experience in deployment of a large distributed Big Data Application
• Track record of thought leadership and innovation around Big Data. Solid understanding of Data landscape and related emerging technology.

Technical skills needed:

• Languages – Java, Python, Scala
• AWS – S3, EMR, Glue, Redshift, Athena, Lamda
• Azure – Blob, ADLS, ADF, Synapse, PowerBI
• Google Cloud – Bigquery, DataProc, Looker
• Snowflake
• Databricks
• CDH - Hive, Spark, HDFS, Kafka CDH etc.
• ETL – Informatica/DBT/Mattilion,

Roles & Responsibilities:

• Architect and Design Sales and Marketing data initiatives, demonstrate data architectural knowledge, customer management and innovation
• Delivery of customer Cloud data Strategies for Marketing, aligned with customer’s business objectives and with a focus on Cloud Migrations
• Provide leadership in platform migration methodologies and techniques including governance frameworks, guidelines, and best practices.
• Build point of views, thought leadership, solutions for proposals, competency development and mentoring etc.
• Solution Design experience on Data Lake, Data Warehouse, BI, Data Mart and Analytics systems
• Delivery of customer Cloud Strategies, aligned with customer’s business objectives and with a focus on Cloud Migration.

Job Title: Technical Architect (ERP)

Location: Miami, FL

Long term Contract

JD:

Technical Architect at Onsite on the ERP side.

• 10+ experience in enterprise applications architecture, with strong ERP/accounting platform exposure like (Oracle NetSuite, FIS Investran & FIS Integrity)

• Deep understanding of finance concepts: GL posting, sub-ledger flows, close processes, reconciliation needs.

• Strong integration architecture experience (APIs, middleware, batch/file interfaces).

• Working knowledge of ETL/ELT concepts and data pipeline design (source-to-target mapping, transformations, validations).

• Data movement architecture and ETL design principles

• Ability to create high-quality architecture artifacts: diagrams, standards, interface specifications, and governance documentation.

• Hands-on experience with integration/middleware tools like Azure Integration Services.

• Familiarity with enterprise data platforms like Azure Synapse, Databricks

Regards

BALAJI

******Attention C2C agencies. NO CALLS. Only email with a qualified resumes currently in Sunnyvale, CA******

Technical Product Manager

Sunnyvale, CA (Hybrid)

$70/hr. C2C

We are seeking a Technical Product Manager with 2–5 years of experience to drive product strategy, roadmap planning, and cross-functional collaboration for digital product initiatives. This role works closely with engineering, design, and business teams to deliver scalable and high-impact products.

Candidates must currently work for or have recent experience at a technology company (software, cloud, or product-based technology organizations).

Key Responsibilities

• Define product strategy, roadmap, and feature prioritization

• Gather and translate business requirements into clear product specifications

• Manage product backlogs and coordinate closely with engineering teams

• Drive cross-functional collaboration across product, design, engineering, and business stakeholders

• Support the development lifecycle to ensure timely product delivery and releases

• Use data and analytics to drive product decisions and improvements

• Work closely with stakeholders to align product goals with business objectives

Required Experience

• 2–5 years of Product Management experience

• Experience working for technology or product-based companies (software, SaaS, cloud platforms, or technology products)

• Experience gathering requirements and translating them into technical product specifications

• Experience managing product backlogs and development workflows

• Strong analytical and data-driven decision-making skills

• Cloud computing exposure (2–5 years) and familiarity with modern technology ecosystems

• Strong communication, stakeholder management, and problem-solving abilities

Preferred

• Technical Product Ownership experience (1+ year)

• Experience working with engineering teams in Agile environments

Job Opportunity: Data Product Manager

Location: Cleveland, Ohio/ Pittsburgh, Pennsylvania Hybrid

Duration: Full-Time

Key Responsibility

Product Ownership & Strategy

• Own end-to-end lifecycle of assigned data products, including vision, strategy, roadmap, and delivery.
• Collaborate with business units, analytics teams, and technology partners to prioritize features and enhancements.
• Define and track key product success metrics and adoption KPIs.
• Advocate for data products across the organization, ensuring alignment with enterprise data governance and cloud/data strategy initiatives.
• Stakeholder Engagement
• Act as the primary liaison between business stakeholders and data engineering/analytics teams.
• Gather and translate business requirements into actionable data product specifications.
• Facilitate cross-functional collaboration to resolve trade-offs and dependencies.

Data Governance & Quality

• Ensure data products comply with regulatory, security, and privacy requirements.
• Define and enforce data quality standards, lineage, and observability metrics.
• Collaborate with Data Governance, Risk, and IT Security teams to maintain compliance and audit readiness.

Technical Leadership

• Understand and leverage modern data technologies (e.g., relational databases, data warehouses, data lakes, ETL pipelines, cloud platforms, APIs, BI tools).
• Collaborate with data engineering teams on architecture, modeling, and platform decisions.
• Evaluate emerging technologies and recommend innovations to improve data products and processes.

Execution & Delivery

• Drive delivery of data products using agile methodologies.
• Prioritize backlog, manage sprints, and ensure timely delivery of features.
• Monitor and measure product performance, adoption, and business impact.
• Thought Leadership
• Contribute to the overall data product management framework and best practices within the bank.
• Promote a culture of data-driven decision-making and product-centric thinking.

Required Qualifications

• 8+ years of experience in data product management, data strategy, or analytics roles; experience in banking/financial services preferred.
• Strong understanding of core banking products (e.g., deposits, loans, payments) and associated operational data flows.
• Solid knowledge of data architecture, warehousing, BI, analytics, and cloud platforms.
• Proven ability to manage multiple data products simultaneously.
• Excellent communication, stakeholder management, and leadership skills.
• Experience with Agile/Scrum methodologies and data governance frameworks.
• Bachelor's degree in Computer Science, Information Systems, Finance, or related field; advanced degree preferred.

Preferred Qualifications

• Hands-on experience with HiveQL, SQL, Tableau
• Understanding of regulatory reporting requirements (e.g., CCAR, FR Y-14, Basel).
• Exposure to semantic layers, or enterprise data product management frameworks.