Data EngineerInterSources • Mclean, VA, US

Data Engineer

InterSources • Mclean, VA, US

[job_card.30_days_ago]

[job_preview.job_type]

[job_card.full_time]

[job_card.job_description]

Job Description

:

Key Responsibilities:

Design, build, and optimize ETL pipelines using Python, PySpark, and Spark
Develop scalable data solutions leveraging Databricks, AWS Glue, EMR, and S3
Collaborate with cross-functional engineering and analytics teams to implement best practices in data ingestion, transformation, and storage
Support data quality, performance tuning, and process automation across the data lifecycle
Work in Agile environments with CI/CD and version control tools

Required Skills and Experience:

3 to 7 plus years of experience in data engineering, preferably in cloud-based environments
Strong proficiency in Python, PySpark, Spark, and SQL
Hands-on experience with AWS data services (S3, Glue, EMR, Redshift, Lambda, Athena)
Experience with Databricks or equivalent data lake platforms
Familiarity with modern DevOps practices (Git, Jenkins, Terraform, Airflow, etc.)

Preferred Background:

Former Client contractors or employees with strong manager feedback
Experience supporting financial services or large enterprise data initiatives
Excellent communication and collaboration skills across technical and business teams

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