Data Engineer

SPECTRAFORCE; Virginia (MN); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading IT recruitment firm is seeking a Data Engineer for a hybrid contract role in McLean, VA. The successful candidate will design and maintain data pipelines and collaborate with cross-functional teams to ensure high-quality data delivery. Strong skills in Python, AWS, and SQL are essential, with experience in cloud-native architecture being a plus. This position offers long-term potential within a dynamic, collaborative environment.

Qualifications

• Strong experience with Python and Spark/PySpark.
• Advanced SQL skills with Snowflake preferred.
• Hands-on experience with AWS services including S3, Glue, Lambda, EMR.
• Experience with Golang for backend development or automation.
• Strong troubleshooting and debugging skills.
• Familiarity with CI/CD pipelines, Git, and Agile environments.

Responsibilities

• Design, develop, and maintain robust data pipelines and platforms.
• Collaborate closely with data scientists and analysts to ensure reliable data delivery.

Skills

Python

Spark / PySpark

SQL

Snowflake

AWS services

Golang

Troubleshooting and debugging

CI/CD pipelines

Git

Agile environments

Job description

Sr. Recruiter- IT Recruitment @SPECTRAFORCETechnical Recruiter | Helping IT Professionals Find High-Impact Opportunities

Location: McLean, VA (Hybrid)

Duration: 12-month contract (Long-term potential)

We have an urgent requirement for a Data Engineer to join our team in McLean, VA. This is a hybrid, long-term contract opportunity where you’ll play a key role in building and maintaining scalable, cloud‑native data solutions.

Role Overview

As a Data Engineer, you will design, develop, and maintain robust data pipelines and platforms. You’ll collaborate closely with data scientists, analysts, and engineering teams to ensure high‑quality, reliable data delivery that supports business and analytics needs.

Required Skills & Experience

• Strong experience with Python and Spark / PySpark
• Advanced SQL skills (experience with Snowflake preferred)
• Hands‑on experience with AWS services including S3, Glue, Lambda, EMR, Step Functions, CloudWatch
• Experience with Golang for backend development or automation
• Strong troubleshooting and debugging skills
• Familiarity with CI/CD pipelines, Git, and Agile environments

Nice to Have

• Exposure to cloud‑native and distributed data architectures

If you’re a Data Engineer looking for a challenging role with long‑term potential in a collaborative environment, we’d love to connect.

Seniority Level

Mid‑Senior level

Employment Type

Contract

Industries

Banking and Financial Services

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