Data Engineer/ Systems Integration Engineer
About The Position
Blackrock Strategy, Inc. is seeking a Data Engineer / Systems Integration Engineer to design, develop, and sustain data infrastructure for mission-critical operational systems and enterprise analytics. The role builds scalable data pipelines, data lakes, and integration frameworks that connect disparate systems into a unified information environment, while establishing a digital thread linking warfighter requirements, capability development, operational performance, and continuous improvement. Working alongside military operators, Government stakeholders, and engineering teams, the engineer develops secure and reliable data solutions to improve information accessibility, accelerate decision-making, and support rapid capability development. The position supports on-site customer and operational activities within the National Capital Region (NCR), including work involving classified systems and Government facilities. Approximately 25% domestic and international travel is required. The standard schedule is Monday through Friday, with occasional extended hours or weekend support.
Requirements
- U.S. citizenship and an active Secret security clearance.
- Demonstrated experience in data engineering, systems integration, or related technical disciplines.
- Strong knowledge of data pipelines, ETL/ELT processes, data modeling, and data lake or lakehouse architectures.
- Experience integrating heterogeneous systems, databases, and data formats.
- Understanding of data quality, lineage, governance, and secure information-management practices.
- Experience working with secured or restricted data environments.
- Strong analytical, troubleshooting, communication, and technical documentation skills.
- Ability to collaborate with multidisciplinary engineering teams and operational stakeholders.
- Ability to support embedded, operator-facing work and rapidly evolving mission requirements.
- Valid U.S. passport and willingness to travel domestically and internationally.
Nice To Haves
- Bachelor's degree in Computer Science, Data Engineering, Systems Engineering, Information Technology, or a related field.
- Active TS/SCI clearance or eligibility.
- Experience operating within SIPRNet or comparable classified environments, including accreditation activities.
- Familiarity with the Maven ecosystem and its data integration architecture.
- Prior military service or experience supporting DoD, Intelligence Community, or aerospace and defense programs.
- Proficiency with Python, SQL, Apache Spark, Airflow, Kafka, or comparable data engineering technologies.
- Experience with cloud, hybrid, or on-premises data infrastructure, APIs, and interoperability frameworks.
- Familiarity with DevSecOps, CI/CD pipelines, infrastructure automation, and secure deployment practices.
- Experience supporting operational experimentation, rapid prototyping, or capability fielding.
- Relevant professional certifications in data engineering, cloud architecture, or systems engineering; equivalent demonstrated experience accepted.
Responsibilities
- Design, develop, and maintain scalable data-ingestion pipelines, ETL/ELT processes, and automated data workflows.
- Architect and sustain data lake and lakehouse environments, including systems supporting classified information.
- Integrate disparate applications, databases, and operational systems into a unified data architecture.
- Establish and maintain digital-thread capabilities connecting requirements, development, operational employment, and performance assessment.
- Develop data models, schemas, and integration interfaces supporting analytics, applications, and decision-support tools.
- Implement data-quality, validation, lineage, governance, and access-control practices.
- Develop automated performance-feedback mechanisms supporting operational analysis and continuous capability improvement.
- Collaborate with platform engineers, data scientists, and product teams to ensure secure, reliable system interoperability.
- Troubleshoot integration challenges, optimize data performance, and support operational experimentation and fielding activities.
- Maintain technical documentation supporting data architecture, integration processes, and long-term Government sustainment.
Benefits
- Competitive compensation
- 401(k) with company matching
- Employer-paid employee medical, dental, and vision insurance
- Employer-paid life insurance and disability coverage
- HSA option with employer contributions
- Paid time off and parental leave
- Tuition reimbursement and professional development
- Employee Assistance Program (EAP)
- Referral bonus program
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
