Closure Technologies
Data Engineer
Data engineer designing and running large-scale data pipelines — ingest, cleansing, transformation, loading, and display — in a Big Data environment, working with data scientists on AI/ML workflows. Core stack: Python/Java, SQL, Apache Airflow, ETL on Linux. Requires an active TS/SCI clearance with polygraph.
- Compensation
- Not disclosed
- Location
- Chantilly, Virginia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- TS/SCI clearance with Polygraph
- 2+ years of relevant software development/programming experience
- Data analysis, parsing, and programming language experience (e.g. Python, Java)
- Significant SQL/database experience
- Experience with the full data lifecycle, from ingest through display, in a Big Data environment
- Hands-on experience with Java-related technologies (JDK, J2EE, EJB, JDBC, and/or Spring)
- Experience with RESTful APIs
- Experience with data pipelining systems (e.g. Apache Airflow)
- Developing/performing ETL tasks in a Linux environment
Nice to have
- Experience deploying systems that leverage AI/ML technology
- Experience publishing results in BI dashboards
Full description
Closure Technologies is seeking a Data Engineer that will leverage their development skills and experience, to support the successful designing, ingesting, cleansing, transformation, loading, and display of significant amounts of data.
Clearance Requirement: TS/SCI with Polygraph
Key Responsibilities:
- Designing, implementing, and optimizing data extraction, cleansing, transformation, loading, replication/distribution, and large-scale ingest systems in a Big Data environment
- Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final display and beyond
- Developing custom solutions/code to ingest and exploit new and existing data sources
- Developing data profiling, deduping logic, and matching logic for analysis
- Organizing and maintaining Data Layer documentation, so others are able to understand and use it. Also, work closely with data scientists to craft data pipelines which serve the development of modern AI/ML workflows
- Collaborating with teammates, other service providers, vendors, and users to develop new and more efficient methods
- Effectively articulating the risks and constraints associated with software solutions, based on environment
Required Qualifications:
- 2+ years of relevant software development/programming experience.
- Demonstrated data analysis, parsing, and programming language experience (e.g. Python, Java) coupled with significant SQL/database experience.
- Experience with the full data lifecycle, from ingest through display, in a Big Data environment.
- Hands-on experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring, and experience with RESTful APIs.
- Experience with data pipelining systems (e.g. Apache Airflow) and developing/performing ETL tasks in a Linux environment.
Preferred Qualifications:
- Experience deploying systems that leverage AI/ML technology
- Experience publishing results in BI dashboards.