Data Engineer

Intone Networks • McLean, VA

40d

About The Position

Data Engineer 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

Requirements

• 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.)

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

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed