Data Engineer

Job OverviewWe are seeking a dynamic and detail-oriented Data Engineer to join our innovative data team. In this role, you will be instrumental in designing, building, and maintaining scalable data pipelines and architectures that empower data-driven decision-making across the organization. Your expertise will enable seamless integration of diverse data sources, ensuring high-quality, accessible data for analytics, reporting, and machine learning initiatives. If you thrive in a fast-paced environment and are passionate about transforming complex data into actionable insights, this opportunity is perfect for you! DuKey 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.) Job Type: Contract Pay: $131,374.86 - $158,214.89 per year Application Question(s): Are you okay to work on W2 or C2C ? Are you local for this position ? McLean, VA Are you ex Capital One ? Experience: ETL : 8 years (Required) Python: 8 years (Required) PySpark: 8 years (Required) Spark: 8 years (Required) AWS : 8 years (Required) SQL: 8 years (Required) Work Location: In person