Data Engineer - Databricks
Steampunk
- Pay
- $125K to $160K
- a year
- Location
- Mclean, VA
- Posted
- Oct 29
- Today
Career path
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About the company
Steampunk
Information technology and services · 201 to 500 employees
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.
What you'll do
- Lead and architect data migrations using Databricks
- Assess and understand ETL jobs, workflows, data marts, BI tools, and reports
- Address technical inquiries concerning customization, integration, enterprise architecture, and data products
What you need
- Ability to hold a position of public trust with the US government.
- 2-4years industry experience coding commercial software and a passion for solving complex problems.
- 2-4years direct experience in Data Engineering with experience in tools such as:
- Big data tools:Databricks, Apache Spark, Delta Lake, etc.
- Relational SQL(PreferablyT-SQL.AlternativelypgSQL, MySQL).
- Data pipeline and workflow management tools:Databricks Workflows, Airflow,Step Functions,etc.
- AWS cloud services:Databricks on AWS, S3,EC2, RDS(or Azure equivalents).
- Object-oriented/object function scripting languages:PySpark/Python, Java, C++, Scala, etc.
- Experienceworking withData Lakehouse architecture andDelta Lake/Apache Iceberg
- Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
- Experience manipulating, processing,and extracting value from large, disconnected datasets.
- Ability toinspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks.
- Experience manipulating structured and unstructured data.
- Experience architecting data systems (transactional and warehouses).
- Experiencethe SDLC, CI/CD, andoperatingin dev/test/prod environments.
- Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, orDataZoneis a plus.
- Commitment to data governance.
- Experience working in an Agile environment.
- Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models
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