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Bigbear.ai

Operational AI platform for decision support

Junior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNorfolk, VA, USANo salary listed

About the Job

Requirements

  • Must be eligible to obtain and maintain a Secret security clearance.
  • A bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, Accounting, or a related field, or equivalent relevant professional experience, is required.
  • Requires 3-5 years of relevant experience in data analysis, data engineering, database support, ETL development, reporting, or data integration.
  • Requires working knowledge of SQL and relational databases, including the ability to write queries and retrieve, manipulate, and validate data.
  • Requires familiarity with data imports, ETL processes, data transformations, or integrations between multiple source systems.
  • Requires experience performing data validation, quality assurance, auditing, reconciliation, or other activities that improve data accuracy and reliability.
  • Requires a basic understanding of database structures, data relationships, query performance, and data management principles.
  • Requires the ability to investigate and resolve data discrepancies.
  • Requires the ability to document technical processes, communicate findings clearly, and collaborate with technical and nontechnical stakeholders.
  • Requires the ability to work in a team environment, learn new tools and technologies, and support multiple data-related priorities.

Responsibilities

  • Assist in developing, maintaining, and improving data pipelines and ETL processes to ingest, transform, validate, and deliver data from multiple source systems.
  • Write, maintain, and optimize SQL queries to retrieve, transform, validate, and analyze data across relational databases.
  • Support data integration efforts by connecting source systems, developing data imports, and helping automate recurring data transfers and reporting processes.
  • Perform data quality checks, audits, and reconciliations to identify inconsistencies, improve accuracy, and maintain data integrity.
  • Assist with database development and maintenance, including schema documentation, query optimization, data organization, and performance monitoring.
  • Support cloud-based data engineering and integration activities using AWS, Databricks, and other approved enterprise data platforms.
  • Develop and maintain data dictionaries, technical documentation, dataflow diagrams, and standard operating procedures to improve data discoverability and usability.
  • Support the organization and management of metadata and data inventories to improve data governance, traceability, and standardization across systems.
  • Assist in developing and maintaining reports, dashboards, and data products that provide actionable information to technical teams and leadership.
  • Support secure data access and handling practices, including user permissions, access controls, and the protection of sensitive information.
  • Collaborate with software developers, data analysts, and cross-functional teams to troubleshoot data issues and deliver incremental improvements using Agile development practices.
  • Contribute to process automation and continuous improvement initiatives that reduce manual effort, improve data processing efficiency, and increase confidence in enterprise data.

Desired Qualifications

  • Exposure to AWS, Databricks, or other cloud-based data platforms.
  • Experience with Microsoft SQL Server, Databricks, or other relational database technologies.
  • Familiarity with data governance, metadata management, data inventories, data dictionaries, or data cataloging.
  • Experience with Power BI, Tableau, SQL Server Reporting Services (SSRS), or other reporting and visualization tools.
  • Familiarity with Python, R, or scripting used to support data processing and automation.
  • Experience integrating data across enterprise applications, databases, file transfers, or external data sources.
  • Understanding of data security, access management, regulatory compliance, or handling sensitive information.
  • Exposure to Agile software development, IT service management, or collaborative development environments.
  • Interest in supporting government, defense, critical infrastructure, or other mission-focused data environments.

About the Company

Bigbear.ai

Operational AI platform for decision support

BigBear.ai builds operational AI software that helps organizations improve decision-making, cyber operations, and business agility. Its platform combines AI-driven analytics on an organization’s data with external inputs to give a full, real-time view of the environment, uncover new insights, and produce accurate predictions. The product works by integrating data from internal systems and external sources, applying advanced analytics to surface actionable intelligence, and enabling fast, informed actions in complex settings. What sets BigBear.ai apart is its depth of expertise in operational AI and its ability to optimize existing data with additional inputs, delivering data mining and predictive capabilities that go beyond traditional intelligence tools. Its goal is to help clients succeed in mission-critical environments—such as government intelligence, healthcare, and manufacturing—by improving efficiency, risk management, and operational performance.

Company size
501-1,000
Company stage
IPO
Headquarters
Tysons, VA
Founded
2020

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