Data Analytics Engineer

Important Requirements NOTE – Our positions require a Top Secret clearance, as well as the completion of a polygraph. Applicants must be authorized to work in the U.S. We are unable to sponsor an employment Visa. What You’ll Be Doing (We don’t love the bullet points, but we love the work!) In this key SW Data Engineering role, you'll get to build the workflow engines behind the curtain, designing reliable Apache Airflow pipelines that keep data moving cleanly, efficiently, and on schedule for analytics and operational needs. Required Skills Experience using the Linux CLI and Linux tools Experience developing Bash scripts to automate manual processes Recent software development experience using Python and Java Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows Experience using Distributed Big Data processing engines including Apache Spark Experience with containerization technologies such as Docker, containerd, and Podman Experience with Git Source Control System Desired Skills Experience using the Atlassian Tool Suite (JIRA, Confluence) Familiar with AWS Cloud Services and Infrastructure Appreciates a sense of humor and the occasional well-timed joke. Perks and Benefits 100% Paid Healthcare 10% 401k in every paycheck 100% Fully Vested!!! #J-18808-Ljbffr GIGATEC Engineering