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Data Feed Analyst Jobs (NOW HIRING)

Collaborate with external stakeholders and internal teams to capture and analyze data feed requirements, ensuring compliance and alignment with cloud-based infrastructure and ABMS CBC2 architecture ...

Collaborate with external stakeholders and internal teams to capture and analyze data feed requirements, ensuring compliance and alignment with cloud-based infrastructure and ABMS CBC2 architecture ...

Collaborate with external stakeholders and internal teams to capture and analyze data feed requirements, ensuring compliance and alignment with cloud-based infrastructure and ABMS CBC2 architecture ...

Administer market data feed permissions, manage exchange audits, and ensure the firm's data access and usage is compliant with licensing agreements; monitor and analyze data notifications and policy ...

Sr. Business Analyst

Indianapolis, IN

$88K - $114K/yr

Perform data analysis and business acumen to document the business/technical requirements needed to develop effective data-feed interfaces. * Collaborate with clients and management to enhance the ...

Head of Data & Analytics

$135K - $150K/yr

... analyst bottlenecks * Proactively surface insights about donor behavior, nonprofit partner ... Experience building or evaluating a B2B data product (e.g., an external API or data feed sold to ...

Data Migration Engineer

Nashville, TN · On-site

$110K - $132K/yr

Act as a liaison between business users and the technical team to ensure requirements are clearly understood and translated. 2. Data Feed Assessment & Gap Analysis Review existing data feeds ...

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Data Feed Analyst information

See salary details

$34K

$82.6K

$136K

How much do data feed analyst jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data feed analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Feed Analyst vs Data Analyst?

AspectData Feed AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; familiarity with data feeds and e-commerce platformsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentPrimarily in e-commerce, digital marketing, or retail companies managing product data feedsAcross various industries including finance, healthcare, marketing, analyzing diverse data sets
Employer & Industry UsageUsed by online retailers, marketplaces, and digital marketing agenciesUsed across multiple sectors for business insights and decision-making

The main difference is that Data Feed Analysts focus on managing and optimizing product or data feeds for online platforms, while Data Analysts interpret and analyze data to support business decisions across various industries.

How does a Data Feed Analyst typically collaborate with engineering and product teams?

Data Feed Analysts work closely with engineering and product teams to ensure smooth integration and optimal performance of data streams. They help troubleshoot data discrepancies, communicate requirements for new data sources, and provide feedback on data quality issues. Regular cross-functional meetings and shared project management tools are common, enabling analysts to align data feed specifications with product goals and technical capabilities. This collaboration is essential for maintaining accurate, reliable data pipelines that support business decision-making.

What are the key skills and qualifications needed to thrive as a Data Feed Analyst, and why are they important?

To thrive as a Data Feed Analyst, you need strong analytical skills, attention to detail, and a solid understanding of data management principles, often supported by a degree in computer science, information systems, or a related field. Familiarity with data feed technologies, SQL, scripting languages, and data integration platforms is typically required, along with experience in using tools like Excel or specialized data monitoring systems. Exceptional problem-solving abilities, effective communication, and the capacity to work under pressure help candidates excel in this role. These skills and qualities are essential for ensuring data accuracy, timely delivery, and seamless integration that support business operations and decision-making.

What does a Data Feed Analyst do?

A Data Feed Analyst is responsible for managing, analyzing, and optimizing data feeds that supply information to systems, websites, or applications. They ensure the accuracy, integrity, and timeliness of the data, troubleshoot issues, and work with both technical and business teams to deliver reliable data streams. Their role often involves monitoring feed performance, identifying data discrepancies, and implementing solutions to improve data quality. Data Feed Analysts play a key role in supporting data-driven decision-making within an organization.
More about Data Feed Analyst jobs
Infographic showing various Data Feed Analyst job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 7% Temporary, and 21% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Software Systems Engineer Principal

Software Systems Engineer Principal

Science Applications International Corporation

Arlington, VA • Hybrid

Other

Posted 18 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

66th of 207 rated it services


Job description

Join the Data Feed Integration (DFI) team on the Advanced Battle Management System (ABMS) Cloud-Based Command and Control (CBC2) Program. In this role, you will support SAIC's efforts as the Lead Systems Integrator (LSI) by driving critical data feed integration initiatives. The DFI team plays a pivotal role in ensuring the seamless integration of external data feeds, API-based systems, and internal architectures, enabling mission success. This position is central to modernizing advanced Command and Control (C2) capabilities for DoW systems and advancing operational readiness.

This position operates in a hybrid work environment with responsibilities divided between 25% travel (including installations and integration events in secure spaces), 25% in-office presence for team collaboration and operational needs, and 50% remote work for independent and team-oriented tasks.

This is a unique position that blends technical, strategic, and collaborative responsibilities. You will manage repeatable, standardized integration processes while also developing custom solutions for complex challenges requiring deep knowledge of software networking, secure data exchange, and mission-critical system compatibility. Your contributions will directly impact the ABMS CBC2 program's success.

Job Duties:

  • Proactive Coordination: Take initiative to drive integration efforts forward by effectively coordinating across teams and stakeholders. Use clear, concise, and professional communication across various platforms (e.g., Mattermost, Teams, email) to ensure alignment, anticipate potential blockers, and facilitate timely resolution of issues.
  • Requirements Gathering: Collaborate with external stakeholders and internal teams to capture and analyze data feed requirements, ensuring compliance and alignment with cloud-based infrastructure and ABMS CBC2 architecture goals.
  • Standardized Processes: Employ and refine repeatable data feed integration processes to ensure efficiency, consistency, and scalability while meeting mission timelines and requirements.
  • Custom Solutions for Complex Scenarios: Analyze unique or technically challenging data exchange requirements, designing tailored solutions leveraging expertise in software networking, system protocols, and secure data exchange.
  • Data Mappings: Write comprehensive data mappings between external data formats (CSV, JSON, XML, Parquet, ORC, etc.) and the program's internal data structures (UCI XML), ensuring seamless transformation into operationally relevant formats.
  • System Architecture and Diagrams: Create, update and present system diagrams, integration workflows, and technical architecture artifacts, clarifying how new and existing data flows connect to the overall system.
  • Work Coordination: Write and maintain actionable Jira tickets to guide development work, ensuring engineering teams clearly understand technical requirements, priorities, and milestones, and keeping tickets updated throughout the development lifecycle.
  • Cybersecurity Collaboration: Partner closely with cybersecurity teams to validate architecture changes, meet DoW security requirements, and obtain approval for new service connections by providing all necessary technical documentation, including system diagrams and technical details.
  • Testing and Troubleshooting: Oversee end-to-end testing for new data feed integrations, proactively identifying and resolving issues related to performance, data quality, and protocol mismatches.
  • Prototype Development: Engage in lightweight scripting and software development tasks to enable custom data transformations and improve integration workflows.
     
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Requirements: 

  • U.S. Citizenship required. 
  • Active Secret security clearance required with the ability to obtain TS/ SCI. Active TS/SCI security clearance preferred.
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, Systems Engineering, or a related technical field and nine (9) years of relevant experience; OR a Master's degree and seven (7) years of relevant experience. Equivalent years of directly related experience may be considered in lieu of a degree.
  • Additional certifications (e.g., CompTIA Security+, CISSP, CCSP) or certifications in data engineering, cloud architecture, or software networking are desirable and may be required by contract guidelines.
  • Strong programming skills in Java, Python, and SQL, or other comparable languages and tools commonly used in data integration and system engineering. Familiarity with additional programming or scripting languages such as Rust, Go (Golang), R, or Python libraries like Pandas is a plus. Experience with cloud-focused programming (e.g., working with APIs, cloud SDKs) is highly desirable.
  • 8+ years of professional experience in one or more of the following technical roles:
    • Software Systems Engineer, with expertise in designing and integrating complex software architectures for mission-critical environments.
    • Data Engineer, specializing in ETL pipelines, data transformation, and secure data integration processes.
    • Software Engineer, focused on designing, implementing, and optimizing scalable systems for secure data exchange.
  • Proficiency in integrating data feeds, APIs, and distributed systems while working with data formats such as CSV, JSON, and XML for seamless and secure system compatibility.
  • Demonstrated experience in designing, developing, and maintaining data pipelines, ensuring efficient and reliable ingestion, transformation, and distribution of operational data.
  • Expertise in problem-solving and troubleshooting, focusing on resolving performance bottlenecks, compatibility issues, and data quality concerns.
  • Strong collaboration skills, with experience working in cross-functional Agile teams-including engineering, cybersecurity, and configuration management teams-to align priorities and achieve mission objectives.

Preferred Skills and Experience:

  • Familiarity with event-driven architectures or stream-processing technologies like Kafka or RabbitMQ to enable real-time data workflows.
  • Proven ability to work in secure environments, performing installations, integration events, and troubleshooting in spaces where personal devices or external technology access is restricted.
  • Proficiency in lightweight scripting to automate data transformations and optimize integration workflows.
  • Knowledge of software design patterns, distributed system architectures, and processes to support scalable and maintainable systems.
  • Strong analytical, organizational, and problem-solving skills, coupled with the ability to communicate technical information effectively within collaborative teams.

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