Senior HPC Software Engineer - Airflow, Python & Spark (Hybrid)

Erias Ventures, LLC

Annapolis (MD)

Hybrid

USD 213,000 - 233,000

Full time

14 days+

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Benefits offered by this job

Above Market Hourly Pay
401k with Immediate Vesting
Medical Coverage Subsidy
Paid Time Off
Amazon Prime Membership
Technology Allowance

Job summary

A technology company in Annapolis, Maryland is looking for a Software Engineer to create and maintain data workflows using Apache Airflow. The position demands a Master's degree with three years or a Bachelor's with five years of relevant experience, alongside a current Top-Secret/SCI security clearance. This role includes a competitive salary range of $213,000 - $233,000 and offers benefits focused on wealth, health, and happiness, including professional development support and flexible work schedules.

Qualifications

  • Master’s degree plus 3 years of experience or Bachelor’s plus 5 years.
  • Experience with Apache Airflow for workflow orchestration.
  • Top-Secret/SCI clearance required.

Responsibilities

  • Create and maintain data workflows using Apache Airflow.
  • Collaborate with data engineers and platform teams.
  • Build scalable and reliable workflow solutions.

Skills

Linux CLI experience
Bash scripting
Python programming
Java programming
Apache Airflow
Apache Spark
Docker
Git

Education

Master’s degree in computer science or related field
Bachelor’s degree in computer science or related field

Tools

Atlassian Tool Suite (JIRA, Confluence)
AWS Cloud Services

Job description

A technology company in Annapolis, Maryland is looking for a Software Engineer to create and maintain data workflows using Apache Airflow. The position demands a Master's degree with three years or a Bachelor's with five years of relevant experience, alongside a current Top-Secret/SCI security clearance. This role includes a competitive salary range of $213,000 - $233,000 and offers benefits focused on wealth, health, and happiness, including professional development support and flexible work schedules.
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