Data Engineer, TS/SCI

The role

Job Description

Seeking a Lead Data Engineer / Mission Data Pipeline to serve as a Subject Matter Expert (SME). You will work directly with government, technical, and industry stakeholders design, implement, and sustain data pipelines that ingest, transform, store, and distribute mission-relevant data across the DIFC2 software ecosystem and external mission partner systems/ You will support the development and delivery of software capabilities that improve data accessibility, mission integration, operational visibility, and cross-system interoperability across a highly dynamic mission environment.

All jobs

Data Engineer, TS/SCI

Blue Sky Innovators, Reston, VA +1

Posted pay

$180K–$220K

a year

Compared with similar jobs

This base pay is above the median for data engineering jobs in other US places with no level in the job title.

Median: $155K a year
Other jobs in the group: 177

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: Reston, VA +1
Work type: Not given
Level: Not given
Experience: 9+ years
Skills in the job text: Python
Airflow
NumPy
pandas
Posted: Apr 30, 2026
Last check: 9 h ago
Job type: Data engineering

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Blue Sky Innovators

Open tech jobs: 14
With posted pay: 79%
Median posted base: $150K–$225K

About Blue Sky Innovators: funding, hiring and pay

Blue Sky Innovators

About Blue Sky Innovators: funding, hiring and pay

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The role

Job Description

What you will do

Mission-Relevant Data Artifact Identification:
Analyze mission workflows and system architecture to identify the data artifacts required to support operational capabilities.
Define the structure, semantics, and lifecycle of mission data products within the data architecture.
Ensure data artifacts align with architectural standards for interoperability, traceability, and reuse across mission components.
Coordinate with External Stakeholders:
Serve as the primary technical liaison for defining data exchange interfaces between mission systems.
Collaborate with mission partners to define message schemas, data formats, transport mechanisms, and interface expectations.
Document data interface specifications to support both system integration and operational sustainment.
RMF & Security Documentation Support:
Support the RMF process by defining technical details for machine-to-machine data interfaces.
Produce or contribute to required RMF artifacts including:
Data message descriptions
Ports, Protocols, and Services Management (PPSM) entries
System topology diagrams and interface documentation
Coordinate with cybersecurity engineers to ensure pipeline implementations meet DoW security and compliance requirements.
Data Pipeline Development & Sustainment:
Design and implement automated data pipelines that ingest, transform, persist, and expose data artifacts for use by internal and external stakeholders.
Utilize government-provided data platform infrastructure to build scalable ETL workflows.
Develop custom transformation logic when required using appropriate programming languages and data processing frameworks.
Expose processed data products through standardized service interfaces such as REST APIs or platform-native services.
Data Pipeline Development & Sustainment:
Implement data validation, normalization, and transformation logic to ensure accuracy and usability of integrated datasets.
Troubleshoot data pipeline failures and implement monitoring, logging, and recovery mechanisms.
Optimize pipeline performance to support mission timelines and large-scale data processing requirements.
Deliverables & Key Projects
Design and implementation of production data pipelines enabling automated ingestion and dissemination of mission data across systems.
Technical documentation describing data artifacts, including purpose and operational relevance, source systems and ingestion methods, transformation logic, and destination systems and access interfaces
Interface documentation supporting integration with external mission partners.
RMF technical artifacts supporting security authorization of data interfaces.
Continuous improvement and sustainment of the data pipeline ecosystem to support evolving mission needs.

What you need

9 years of experience and a Bachelor’s degree in Computer Science, Software Engineering, Management Information Systems/Information Systems, or a related discipline; or a Master's degree and 7 years of experience; or a PhD/JD and 4 years of experience.
7+ years of experience supporting software engineering, systems integration, platform implementation, or application development efforts within DoD, IC, SAP/SCI, or other complex mission environments.
Experience designing or implementing data pipelines, ETL workflows, or data integration architectures.
Experience working with structured and semi-structured data formats (JSON, CSV, XML, etc.).
Requires an active Top Secret clearance with the ability to obtain and maintain Sensitive Compartmented Information and Special Program access, as well as a willingness to consent to a polygraph examination.

You will wow us even more if you have experience will the following

Proficiency with low-code/no-code data orchestration technologies such as Apache NiFi, Apache Airflow, or similar ETL orchestration tools.
Experience implementing data transformation logic using Python and data processing libraries such as Pandas and NumPy.
Certification or demonstrated experience as a Palantir Foundry Data Engineer, including use of Code Repositories, Pipeline Builder, AIP Logic, and other platform-relevant technologies
Experience designing pipelines that process and fuse large-scale datasets from multiple sources.
Familiarity with DoW data architectures, mission system integration, or data interoperability frameworks.
Ability to communicate effectively with engineers, architects, operators, and senior Government leadership while translating technical concepts into mission-relevant value.
Proven ability to work in highly regulated, fast-moving environments where technical excellence, mission responsiveness, and stakeholder coordination are all critical to success.

Salary range for the position is $180,000 - $220,000 per year. Specific compensation will be determined by several factors including experience, education, skills, and knowledge. We also offer medical/dental/vision benefits and 401k contribution.

Data Engineer, TS/SCI

The role

Data Engineer, TS/SCI

The role

What you will do

What you need

You will wow us even more if you have experience will the following

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