Role OverviewWe are looking for a seasoned Data Engineer to work with our team and clients to develop enterprise-grade data platforms, services, and pipelines in Databricks. The ideal candidate will have excellent communication and customer service skills, a passion for data and problem-solving, and experience working with database/data warehouse/data mart solutions in the cloud.
What You Will Do
Lead and architect migrations of data using Databricks, assess and understand ETL jobs, workflows, data marts, BI tools, and reports, and address technical inquiries concerning customization, integration, enterprise architecture, and general feature/functionality of data products.
Why It Might Be a Fit
The successful candidate will contribute to the growth of our AI & Data Exploitation Practice, have a passion for solving complex problems, and experience working in an Agile environment.
Requirements
- Ability to hold a position of public trust with the US government
- 2-4 years industry experience coding commercial software
- 2-4 years direct experience in Data Engineering with experience in tools such as Big data tools: Databricks, Apache Spark, Delta Lake, etc.
- Relational SQL (Preferably T-SQL. Alternatively pgSQL, 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.
- Experience working with Data Lakehouse architecture and Delta 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 to inspect 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).
- Experience the SDLC, CI/CD, and operating in dev/test/prod environments.
- Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is 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
Benefits
- Projected compensation range: $110,000 to $160,000
- Total compensation package for employees
- Additional Steampunk benefits
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