Data Integration Systems Engineer

Job Overview

This position is a Data Integration Systems Engineer that will help design, modernize, secure, and sustain enterprise applications and platforms supporting critical national security operations. The role focuses on ingesting, transforming, validating, and integrating operational data into enterprise systems, automating business processes, and delivering solutions that improve efficiency and user experience.

• Support ingestion of spreadsheet‑based datasets into enterprise databases and applications.
• Develop and maintain data transformation workflows that normalize and convert structured data into the formats required for system integration and data exchange.
• Validate and troubleshoot data ingestion pipelines to ensure data integrity and operational accuracy.
• Support integration of enterprise data into Pega workflows and applications serving as systems of record.
• Collaborate with development and architecture teams to improve automation, scalability, and maintainability of ingestion workflows.
• Assist with development of reporting and downstream data consumption strategies.
• Support troubleshooting, analysis, and resolution of data‑related operational issues.
• Work with stakeholders to understand data requirements, mappings, and validation criteria.
• Participate in modernization and automation initiatives across enterprise services.
• Document data flows, interfaces, transformation logic, and operational procedures.

• TS/SCI with Polygraph.
• Bachelor’s degree in a technical discipline and fourteen (14) years of related experience as a Systems Engineer, Software Engineer, Data Engineer or equivalent technical role (or nineteen (19) years in lieu of a degree).
• Experience with structured data formats including JSON, CSV, and Excel‑based datasets.
• Experience supporting data ingestion, transformation, or ETL‑style workflows.
• Experience writing automation scripts or utilities using Python or similar scripting languages.
• Experience troubleshooting data quality and validation issues.
• Familiarity with relational databases and SQL.
• Ability to work across technical teams and communicate effectively with both technical and non‑technical stakeholders.
• Must be able to work during core hours of M‑F 10am‑2pm; exceptions considered on a case‑by‑case basis.

• Experience supporting Pega applications or enterprise workflow platforms.
• Experience building or supporting ETL/data ingestion pipelines.
• Experience with API integrations and data exchange services.
• Experience with data validation frameworks or schema validation.
• Familiarity with enterprise reporting ecosystems and downstream analytics integrations.
• Experience with automation technologies including RPA or scripting frameworks.
• Understanding of enterprise data governance and system‑of‑record concepts.
• Ability to clearly communicate ambiguous or highly complex concepts to all audiences.
• Ability to understand the big picture and align day‑to‑day technical activities to enterprise mission outcomes.

Estimated salary range: $200,000‑$240,000 annually, reflective of experience, education, and organizational needs.

• Matching 401(k).
• Fully paid medical, dental, and vision.
• Paid time off including paid site closure days.
• Paid training and tuition reimbursement.
• Referral bonuses.
• Fully paid life and disability insurance.
• Annual logo wear allowance.

We do not discriminate on the basis of race, color, religion, sex, age, marital status, disability, or veteran status. This position is closed to applicants who do not meet the required security clearance.