Data Engineering Team Lead

Job Overview

In today's rapidly evolving technology landscape, data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques.

We aim to build and execute a data strategy for clients to coordinate data collection and generation, align the organization and its data assets in support of the mission, and ultimately realize mission goals with the strongest effectiveness possible.

Data is a strategic asset for our clients. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information.

Key Responsibilities

• Design and lead the implementation of greenfield data solution stacks in the cloud or on premises, using the latest data services, products, technology, and industry best practices.
• Architect and lead the migration of legacy data environments with performance and reliability.
• Contribute to data architecture by assessing, understanding, and implementing data sources, data models, and schemas, and data workflows.
• Implement ETL jobs, data pipelines, and workflows, as well as assess, understand, design, and implement reports, select BI tools, create dynamic dashboards, and set up data pipelines in support of dashboards and reports.
• Address technical inquiries concerning customization, integration, enterprise architecture, and general feature/functionality of data products.
• Craft and implement data lakehouse solutions in the cloud (preferably AWS, alternatively Azure, GCP), including relational databases, data warehouses, data lakes, and distributed data systems.

Requirements

• Able to hold a position of public trust with the US government.
• Bachelor's Degree and 10 years of experience, or equivalent combination of education and/or experience.
• 5 years industry experience leading the design and implementation of data systems.
• Direct experience in Data Solutions with experience in tools such as Big data tools: Hadoop, Spark, Kafka, etc., Relational SQL and NoSQL databases, Data pipeline and workflow management tools, AWS cloud services, Data streaming systems, Data science tools/languages, Search tools, and Object-oriented/scripting languages.
• 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 with DBOps and MLOps frameworks and exposure/understanding of DevOps.
• Experience manipulating, processing, and extracting value from large, disconnected datasets.
• Experience manipulating structured and unstructured data for analysis.
• Experience constructing complex queries to analyze results using databases or in a data processing development environment.
• Experience with data modeling tools and process.
• Experience architecting data systems (transactional and warehouses).
• Experience aggregating results and/or compiling information for reporting from multiple datasets.
• Experience working in an Agile environment.

About Steampunk

We are 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.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. We participate in the E-Verify program.