(646) Lead Data Engineer

Arlo Solutions LLC • Arlington, VA

1d • Onsite

About The Position

The Lead Data Engineer provides technical leadership in the design, development, and maintenance of enterprise data solutions supporting DoW and Intelligence Community mission systems. The selected candidate will architect and implement scalable Extract, Transfer, Load and Extract, Load, Transfer (ETL/ELT) pipelines within secure cloud environments and support advanced analytics and business intelligence initiatives.

Requirements

• Active TS/SCI clearance.
• Bachelor’s degree in data Analytics, Statistics, Business, or related field (or equivalent experience).
• 3-5 years of experience in data engineering, ETL development, or enterprise data warehousing.
• Experience with Databricks and distributed data processing frameworks.
• Proficiency in SQL and Python.
• Excellent written and verbal communication skills for reporting and presenting findings,
• Experience in AWS and/or Azure cloud environments.
• Experience supporting DoD or IC customers.

Nice To Haves

• Master’s degree in Analytics, Data Science, or related discipline.
• Experience with Palantir Foundry or similar enterprise data platforms.
• Experience with Azure Synapse, Cosmos DB, Neo4j, or Kusto DB.
• Cloud certifications (AWS, Azure, Google Cloud).
• CompTIA Security+ (DoD 8570 compliant).
• Experience supporting DoD or Intelligence Community infrastructure programs.
• Familiarity with enterprise-level resource management and strategic planning processes.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Python, SQL, and Databricks (Apache Spark).
• Integrate structured and unstructured data across AWS and Azure cloud environments (NIPR, SIPR, JWICS as applicable).
• Implement data quality controls, monitoring processes, and governance standards.
• Support data ingestion into enterprise analytics platforms (e.g., Advana or similar).
• Develop and maintain executive dashboards using enterprise BI tools (Qlik, Power BI, Tableau).
• Automate workflows using Azure Data Factory, Databricks notebooks, or equivalent tools.
• Configure and manage cloud security controls in accordance with DoD policies.
• Provide technical leadership, conduct design reviews, and mentor junior staff.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level