Senior Data Engineer - Databricks

Steampunk • McLean, VA

21h

About The Position

We are looking for a seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for more than just a "Senior Data Engineer", we are looking for a technologist with excellent communication and customer service skills and a passion for data and problem solving. 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. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth.

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.
• 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 with the SDLC, CI/CD, and operating in dev/test/prod environments.
• 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
• Experience working with database/data warehouse/data mart solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
• Key must have skill sets – Databricks, SQL, PySpark/Python, AWS

Nice To Haves

• Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus.

Responsibilities

• Lead and architect migrations of data using Databricks with focus on performance, reliability, and scalability.
• Assess and understand ETL jobs, workflows, data marts, BI tools, and reports
• Address technical inquiries concerning customization, integration, enterprise architecture and general feature/functionality of data products
• Support an Agile software development lifecycle
• Contribute to the growth of our AI & Data Exploitation Practice!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed