Data Engineer
📋 Role Overview & Responsibilities
Piper Companies is seeking a Data Engineer to cluster large datasets across various container and data platforms depending on external client needs. The Data Engineer will work hands-on with challenging data engineering, data management, and analytics projects.
Responsibilities of the Data Engineer include
Achieve and maintain proficiency with cluster and framework sizing, installation, debugging, performance optimization, migration, security and automation Collaborate with data scientists, analysts, business users, and IT teams to design, implement, and deploy data services and analytics. Use Continuous Integration/Continuous Delivery (CI/CD) concepts to engineer a standardized data environment Recommend and advise on optimal data models for data ingestion, integration, and visualization Integrate data from a variety of data source types
Qualifications for the Data Engineer include
6 years of experience in data engineering Experience with Snowflake, Databricks, Spark SQL, PySpark, and Python 3+ years cloud experience: Azure, AWS, or GCP
Compensation for the Data Engineer include
Salary: $135,000-145,000 Benefits: Full Health/Dental/Vision, 401K, Pension, Annual Bonus
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This position is located in McLean, VA with potential relocation and sponsorship assistance depending on candidate qualifications.
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