Data Engineer — TS/SCI Clearance & Data Pipelines

Square Peg Technologies

Washington (District of Columbia)

On-site

USD 120,000 - 150,000

Full time

6 days ago
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Benefits offered by this job

Vacation
Annual bonuses
401k matching
Paid training
Health care coverage

Job summary

Square Peg Technologies is seeking an experienced pipeline-centric data engineer to design, implement, and maintain data pipelines for customers. The role emphasizes building automated pipelines across diverse data types and datasets to support analytics and ML initiatives.

Ideal candidates have 3+ years of Python, SQL, and data visualization experience, plus familiarity with AWS RedShift/RDS, and strong collaboration with data science and BI teams.

Qualifications

  • Experience building data pipelines for research, reporting or ML.
  • Proficient in Python and SQL; able to develop and optimize queries.
  • Experience with data visualization/exploration tools.
  • Experience building or maintaining ETL processes.
  • Experience communicating technical concepts to non-technical leaders.

Responsibilities

  • Design, implement, and maintain data pipelines for customers.
  • Develop automated pipelines for multiple data types and datasets.
  • Collaborate with data science and BI teams to model data and pipelines.
  • Apply best practices and continuous learning to backend systems.

Skills

Python
SQL
Data visualization
ETL
Agile software development
Data pipelines

Education

Bachelor’s degree in computer science / information technology / engineering

Tools

AWS RedShift / RDS

Job description

Square Peg Technologies is seeking an experienced pipeline-centric data engineer to design, implement, and maintain data pipelines for customers. The role emphasizes building automated pipelines across diverse data types and datasets to support analytics and ML initiatives.

Ideal candidates have 3+ years of Python, SQL, and data visualization experience, plus familiarity with AWS RedShift/RDS, and strong collaboration with data science and BI teams.

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