ETL Software Engineer
About The Position
We are seeking a talented and motivated ETL Engineer to design, build, and optimize high-performance data pipelines and ETL processes powering a web-based search and analytics application. This role requires the extraction, transformation, and loading of data from various sources (including relational databases and file formats), developing data adapters in Python, and fine-tuning workflows for speed and scale. This position is hybrid with one to three days per week in Chantilly VA. The position requires a Top Secret clearance and SCI eligibility with the ability to pass a CI polygraph.
Requirements
- Active Top Secret clearance and SCI eligibility with the ability to pass a CI polygraph.
- Bachelor’s degree in computer science, Information Systems, Engineering, or related field (or equivalent experience).
- 5+ years of experience in data engineering, including Building ETL/ELT pipelines, SQL query optimization, Working with relational databases such as Oracle, PostgreSQL, MySQL, or MSSQL.
- Experience with high level languages such as Python, Java or C#.
- 3+ years of experience in Python development, with a focus on ETL processes.
- Experience with Elasticsearch or OpenSearch.
- Experience with version control systems (e.g. GIT) and collaborative coding practices.
- Experience working in an Agile Scrum environment.
- Experience with scripting languages (e.g., Bash).
- Experience with containerization technologies (e.g., Docker).
- Experience working in Linux environments.
Nice To Haves
- Knowledge of data quality, validation and monitoring frameworks, along with data governance, metadata management, and data lineage best practices.
- Strong understanding of data transformation, cleansing, and normalization concepts.
- Experience with data warehousing, big data frameworks, and API-based data integration from enterprise source systems.
- Excellent problem-solving skills and attention to detail.
Responsibilities
- Design, build, and optimize high-performance data pipelines and ETL processes.
- Extract, transform, and load data from various sources (including relational databases and file formats).
- Develop data adapters in Python.
- Fine-tune workflows for speed and scale.
Benefits
- Generous cost sharing for medical insurance for the employee and dependents
- 100% company paid dental insurance for employees and dependents
- 100% company paid long-term and short-term disability insurance
- 100% company paid vision insurance for employees and dependents
- 401k plan with generous match and 100% immediate vesting
- Competitive Pay
- Generous paid leave and holiday package
- Tuition and training reimbursement
- Life and AD&D Insurance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
