Senior Data Engineer

Job Description

Design, implement, and optimize data ingress and egress pathways for efficient, scalable, and reliable analytics workloads. Apply dataflow design, data transport mechanisms, and Apache Spark distributed processing to support organizational data processing.

Requirements: Requires seven years of software engineering experience and a bachelor's degree in a technical discipline, with two additional years of experience substituting for the degree. Candidates must hold an active TS/SCI clearance with polygraph and have recent Python and Java development experience, along with experience in Linux, Airflow, Spark, SQL databases, data formats, data quality, and Git.

Key Skills: Linux, Bash, Python, Java, Apache Airflow, Apache Spark, SQL, MySQL, MariaDB, PostgreSQL, Jupyter Notebook, Pandas, NumPy, Data Wrangling, Git, Dataflow Design

Benefits: 25 Days Paid Time Off, 11 Paid Holidays, Employer-Paid Healthcare for Employees and Dependents, 8% Employer 401(k) Match, Immediate 401(k) Vesting