Senior Data Engineer - Databricks

We are looking for a seasoned Senior Data Engineer to work with our team and clients to develop enterprise-grade data platforms, services, and pipelines in Databricks. The ideal candidate will be a technologist with excellent communication and customer service skills and a passion for data and problem-solving.

What You Will Do

Responsibilities include leading and architecting migrations of data using Databricks, assessing and understanding ETL jobs, workflows, data marts, BI tools, and reports, and addressing 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 and have a passion for solving complex problems.

Requirements

• Ability to hold a position of public trust with the US government.
• 5-7 years industry experience coding commercial software and a passion for solving complex problems.
• 5-7 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.
• Experience manipulating structured and unstructured data.
• Experience architecting data systems (transactional and warehouses).
• Experience with 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

• Annual salary range $140,000 to $180,000
• Additional Steampunk benefits available