Enterprise Data Engineer — Python, Spark, AWS

Erias Ventures, LLC

McLean (VA)

On-site

USD 150,000 - 265,000

Full time

14 days+

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Benefits offered by this job

Above Market Hourly Pay
11% 401k with Immediate Vesting
Company subsidized Medical Coverage
100% Company Paid Vision and Dental Coverage
Paid Time Off with Flexible Work Schedules

Job summary

Erias Ventures, LLC in McLean, VA is seeking an experienced Software Engineer specialized in data engineering. The successful candidate will work with a small team to build complex data flows for a custom application, utilizing advanced Python skills, Docker, and AWS services. This position requires a current Top-Secret/SCI with polygraph security clearance.

The role involves working with MySQL and PostgreSQL, addressing data quality issues, and contributing to documentation and best practices. Benefits include competitive pay, health coverage, and flexible schedules.

Qualifications

  • Current Top-Secret/SCI with polygraph security clearance is required.
  • Experience in building production data pipelines and ETL workflows at scale.
  • Familiarity with data security, privacy, governance and compliance principles.

Responsibilities

  • Build complex data flows for a custom application.
  • Work with stakeholders to understand data requirements and design solutions.
  • Containerize and deploy applications in cloud environments.

Skills

Apache Spark & PySpark
Advanced Python skills
Docker
AWS S3
SQL (with Trino)
NoSQL, DynamoDB

Education

Bachelor's degree in Computer Science or related field

Tools

Git
Terraform
Apache Airflow

Job description

Erias Ventures, LLC in McLean, VA is seeking an experienced Software Engineer specialized in data engineering. The successful candidate will work with a small team to build complex data flows for a custom application, utilizing advanced Python skills, Docker, and AWS services. This position requires a current Top-Secret/SCI with polygraph security clearance.

The role involves working with MySQL and PostgreSQL, addressing data quality issues, and contributing to documentation and best practices. Benefits include competitive pay, health coverage, and flexible schedules.

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