Posted today
Secret
Unspecified
Engineering - Systems
Remote/Hybrid•Washington, DC (On/Off-Site)
Company Description
Big Impact Tech (BIT) is a Minority-Owned Small Business providing IT and business management consulting to federal and commercial clients. We deliver mission-focused solutions in data, cloud, cybersecurity, and program management
Role Description
We are seeking an experienced Senior Data Engineer to support a federal client in advancing enterprise-scale analytics and data-driven decision-making. The ideal candidate will design, build, and optimize cloud-based data pipelines using Python, SQL, and modern ETL frameworks, while collaborating with analysts and developers to deliver scalable, reliable, and secure data solutions through CI/CD and automation best practices.
Responsibilities
• Build, test, and orchestrate data pipelines in Python
• Design and optimize data structures, schemas, and ETL processes
• Translate business use cases into SQL queries, reports, and dashboards
• Manage database objects in development environments without impacting production
• Automate workflows using Databricks Workflows or the Jobs API
• Integrate code into GitHub/GitLab and support CI/CD practices
• Diagnose data gaps and quality issues and design test cases for validation
• Collaborate with developers and analysts to synchronize code and ensure reliability
Qualifications
• Active Secret clearance (required)
• Bachelor’s in Computer Science, Data Engineering, or related field
• 7+ years of professional experience in data engineering
• Expert-level proficiency in Databricks, Apache Spark, and SQL
• Proficiency in Python and SQL (2–3 years each)
• Experience with ETL tools such as Kafka, Airflow, or AWS Glue
• Skilled in CI/CD pipelines and GitHub/GitLab version control
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Strong problem-solving, debugging, and collaboration skills
Big Impact Tech (BIT) is a Minority-Owned Small Business providing IT and business management consulting to federal and commercial clients. We deliver mission-focused solutions in data, cloud, cybersecurity, and program management
Role Description
We are seeking an experienced Senior Data Engineer to support a federal client in advancing enterprise-scale analytics and data-driven decision-making. The ideal candidate will design, build, and optimize cloud-based data pipelines using Python, SQL, and modern ETL frameworks, while collaborating with analysts and developers to deliver scalable, reliable, and secure data solutions through CI/CD and automation best practices.
Responsibilities
• Build, test, and orchestrate data pipelines in Python
• Design and optimize data structures, schemas, and ETL processes
• Translate business use cases into SQL queries, reports, and dashboards
• Manage database objects in development environments without impacting production
• Automate workflows using Databricks Workflows or the Jobs API
• Integrate code into GitHub/GitLab and support CI/CD practices
• Diagnose data gaps and quality issues and design test cases for validation
• Collaborate with developers and analysts to synchronize code and ensure reliability
Qualifications
• Active Secret clearance (required)
• Bachelor’s in Computer Science, Data Engineering, or related field
• 7+ years of professional experience in data engineering
• Expert-level proficiency in Databricks, Apache Spark, and SQL
• Proficiency in Python and SQL (2–3 years each)
• Experience with ETL tools such as Kafka, Airflow, or AWS Glue
• Skilled in CI/CD pipelines and GitHub/GitLab version control
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Strong problem-solving, debugging, and collaboration skills
group id: 91164055
