Senior Data Engineer

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows

• Build and optimize data architectures to support analytics and reporting requirements

• Integrate data from multiple sources (structured and unstructured) into centralized platforms

• Ensure data quality, integrity, and governance across systems

• Collaborate with data scientists, analysts, and engineering teams to deliver data solutions

• Optimize database performance and implement indexing, partitioning, and query tuning strategies

• Work within secure DoD environments, ensuring compliance with all security protocols and standards

• Support cloud-based data platforms (AWS, Azure, or similar) and hybrid architectures

• Develop and maintain documentation for data pipelines, systems, and processes

• Troubleshoot and resolve data-related issues in production environments

Our client is seeking a highly skilled Senior Data Engineer to join their team and work remotely. This role will support mission-critical data initiatives, enabling advanced analytics, data integration, and scalable data infrastructure in a secure environment.

The ideal candidate has extensive experience designing and building data pipelines, working with large-scale datasets, and operating within secure, cleared environments., * Active Top Secret (TS) clearance or higher

• 8+ years of experience in data engineering, data architecture, or related field

• Strong experience with ETL/ELT tools and frameworks

• Proficiency in SQL and at least one programming language (Python, Java, or Scala)

• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)

• Hands-on experience with cloud platforms (AWS, Azure, or GCP)

• Experience building and maintaining data pipelines at scale

• Familiarity with data modeling techniques (star schema, dimensional modeling)

• Understanding of data governance, security, and compliance frameworks

• Ability to work independently in a remote, fast-paced environment

Preferred Qualifications:

• Experience supporting DoD or federal government contracts

• Familiarity with cleared environments and classified data handling

• Experience with big data technologies (Spark, Hadoop, Kafka)

• Knowledge of DevOps/DataOps practices (CI/CD pipelines, automation)

• Experience with containerization tools (Docker, Kubernetes)

• Exposure to real-time data processing and streaming architectures

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, * Bachelor’s (Required), * data engineering/data architecture: 8 years (Required)
• Big data: 1 year (Required)
• containerization : 1 year (Required)
• ETL: 1 year (Required)
• SQL: 1 year (Required)
• Data modeling: 1 year (Required)

Job Types: Full-time, Contract

Pay: $50.00 - $55.00 per hour