Data Analytics Engineer

GIGATEC Engineering; Maryland; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

100% Paid Healthcare

10% 401k in every paycheck

100% Fully Vested!!!

Job summary

A leading engineering firm in Maryland is looking for a skilled SW Data Engineer to build reliable Apache Airflow pipelines for data management. The ideal candidate should have extensive experience with Linux, Bash scripting, Python, and Java. Additionally, familiarity with Apache Spark and container technologies like Docker is essential. This position requires a Top Secret clearance and offers great perks, including fully paid healthcare and a generous 401k plan.

Qualifications

• Experience using the Linux CLI and tools.
• Experience developing Bash scripts for automation.
• Recent software development experience with Python and Java.
• Experience with Apache Airflow for workflow orchestration.
• Experience with Apache Spark for big data processing.
• Familiarity with containerization technologies.

Responsibilities

• Build Apache Airflow pipelines for data analytics.
• Ensure data workflows are reliable and efficient.

Skills

Linux CLI

Bash scripting

Python

Java

Apache Airflow

Apache Spark

Docker

Git

Tools

Atlassian Tool Suite

Job description

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!!!