Data Engineer — Databricks Cloud ETL (Remote)

Sierra Management and Technologies Inc

California (MD)

Hybrid

USD 90,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Flexible work schedules
Remote/Hybrid opportunities
Medical, dental, and vision insurance
Education reimbursement
Life + AD&D insurance
Paid time off

Job summary

Sierra Management and Technologies, Inc. is seeking a Data Engineer to support the NAWCAD Readiness & Fleet Analytics (R&A) Division at Patuxent River Naval Air Station in Lexington Park, MD.

The role focuses on migrating code from CDSW to Databricks and building scalable data pipelines for analytics and decision support across DoD programs. You will leverage Python, SQL, and cloud platforms to ensure data flow between systems is robust, secure, and accessible, enabling data-driven insights for

Qualifications

  • Proficiency in Python and SQL with ETL pipeline development.
  • Experience migrating workflows from CDSW to cloud-based environments.
  • Strong understanding of relational and non-relational databases.

Responsibilities

  • Migrate HiveQL and Python workflows from CDSW to Databricks.
  • Design, build, and maintain robust data pipelines and architectures.
  • Develop and optimize ETL pipelines and data flows.

Skills

Python
SQL
ETL pipelines
Cloud platforms
Databricks
HiveQL
GitLab
JIRA
Data engineering
Data quality

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

AWS
Databricks
CDSW

Job description

Sierra Management and Technologies, Inc. is seeking a Data Engineer to support the NAWCAD Readiness & Fleet Analytics (R&A) Division at Patuxent River Naval Air Station in Lexington Park, MD.

The role focuses on migrating code from CDSW to Databricks and building scalable data pipelines for analytics and decision support across DoD programs. You will leverage Python, SQL, and cloud platforms to ensure data flow between systems is robust, secure, and accessible, enabling data-driven insights for

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