Data Engineer

We are seeking Data Engineers at both junior and senior levels to support a growing portfolio of data and analytics initiatives within complex, mission-driven environments. This role centers on designing and building scalable data solutions that support advanced analytics, reporting, and decision-making across large and diverse datasets. This position is part of a centralized data engineering and analytics function, partnering closely with data platform teams, analysts, and software engineers to develop modern data pipelines, analytics workflows, and enterprise data environments. The work involves leveraging distributed processing frameworks, cloud-based data platforms, and visualization tools to deliver actionable insights., Design, develop, and maintain scalable data pipelines using Python, PySpark, SQL, or R Ingest, process, and transform structured and unstructured data from multiple data sources Build and maintain analytics-ready datasets to support reporting, dashboards, and data visualization tools (Power BI, Tableau, Qlik) Develop and optimize ETL/ELT workflows and data processing jobs within distributed environments Work with large-scale datasets using big data technologies such as Spark and related frameworks Partner with cross-functional teams (engineering, analytics, and business stakeholders) to deliver data-driven solutions Translate business or mission needs into technical data solutions and scalable architectures Implement data quality checks, validation processes, and transformation logic to ensure data integrity Support deployment and integration of enterprise data platforms and analytics environments Troubleshoot and resolve issues across pipelines, ingestion processes, and processing layers Participate in Agile development practices, including sprint planning, design discussions, and iterative delivery

Hands-on experience with Python and SQL for data processing and analysis Experience with PySpark or other distributed data processing frameworks Familiarity with R (or willingness to work with statistical/analytical languages) Experience building and maintaining data pipelines (ETL/ELT) and workflow automation Experience working with large datasets and understanding distributed data processing concepts Exposure to or experience with data visualization tools such as Power BI, Tableau, or Qlik Strong understanding of data modeling, data transformation, and data architecture fundamentals Ability to work effectively in a collaborative, cross-functional team environment

Preferred / Nice-to-Have Skills

Experience with big data ecosystem tools such as Hive, Hadoop, or Spark-based platforms Hands-on experience with Databricks, AWS EMR, or similar cloud-based data platforms Exposure to Palantir Foundry or similar enterprise analytics/data integration platforms Experience supporting analytics, reporting, or machine learning workflows Familiarity with cloud environments and modern data platform architectures Experience working in large-scale, enterprise, or regulated environments

Experience Levels Junior Level

Early-career experience in data engineering, analytics, or software development Exposure to data pipelines, data processing tools, or reporting/visualization platforms Ability to contribute to development tasks and collaborate within a team environment

Senior Level

Proven experience designing, building, and maintaining enterprise-scale data solutions Strong background developing and optimizing data pipelines using Python/PySpark and SQL Experience supporting analytics platforms and data visualization/reporting ecosystems Ability to influence architecture decisions and mentor junior team members Strong capability translating complex requirements into scalable, efficient solutions

Work spans a variety of project areas and data initiatives (not tied to a single program) Hybrid work environment with regular on-site collaboration Limited travel may be required depending on project alignment Opportunity for continued training and hands-on experience with modern data tools and platforms

Clearance Requirement

Active clearance required (minimum Secret; TS or TS/SCI preferred)