Data Engineer - TS/SCI Clearance, Pipelines & ML

ADP, Inc.

Washington (District of Columbia)

On-site

USD 120,000 - 160,000

Full time

44 hours ago
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Benefits offered by this job

Large vacation policy
Annual bonuses
401k matching
Paid training
100% health care coverage

Job summary

Square Peg Technologies in Washington, DC is seeking an experienced data engineer to design, implement, and maintain data pipelines for customers. You will build automated pipelines across diverse data types and datasets to enable analytics and machine learning.

Ideal candidates have 3+ years Python/SQL, experience with AWS RedShift/RDS, and a BS in CS/IT/Engineering. Strong collaboration with data science and BI teams, agile practices, and ability to explain complex concepts to business leaders.

Qualifications

  • 3+ years of experience with Python, SQL, and data visualization/exploration tools.
  • Familiarity with AWS ecosystem RedShift and RDS.
  • Experience building or maintaining ETL processes.
  • Excellent communication to explain technical concepts to non-technical leaders.

Responsibilities

  • Design, implement, and maintain data pipelines for customers.
  • Develop automated pipelines for diverse data types and datasets.
  • Collaborate with data science and BI teams to model data and pipelines.
  • Advocate best practices and continuous learning in data engineering.

Skills

Python
SQL
Data Visualization
ETL
Agile
Data Pipelines

Education

Bachelor's degree in computer science, information technology, engineering or equivalent

Tools

AWS RedShift
AWS RDS

Job description

Square Peg Technologies in Washington, DC is seeking an experienced data engineer to design, implement, and maintain data pipelines for customers. You will build automated pipelines across diverse data types and datasets to enable analytics and machine learning.

Ideal candidates have 3+ years Python/SQL, experience with AWS RedShift/RDS, and a BS in CS/IT/Engineering. Strong collaboration with data science and BI teams, agile practices, and ability to explain complex concepts to business leaders.

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