Data Engineering Team Lead

In todays rapidly evolving technology landscape an organizations data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques given the challenge.

At Steampunk our goal is to build and execute a data strategy for our clients to coordinate data collection and generation to align the organization and its data assets in support of the mission and ultimately to realize mission goals with the strongest effectiveness possible.

For our clients data is a strategic asset. They are looking to become a factsbased datadriven customerfocused organization. To help realize this goal they are leveraging visual analytics platforms to analyze visualize and share information. At Steampunk you will design and develop solutions to highimpact complex data problems working with the best and data practitioners around. Our data exploitation approach is tightly integrated with HumanCentered Design and DevSecOps.

We are looking for seasoneda Data Engineering Team Lead to work with our team and our clients to develop enterprise grade data platforms services pipelines data models visualizations and more! The Data Engineering Team Lead needs to be a technologist with excellent communication and customer service skills and a passion for data and problem solving. This role involves technical and thought leadership across the spectrum of data capabilities from data vision and strategy all the way through data science.

• Designing and leading the implementation of greenfield data solution stacks in the cloud or on premises using the latest data services products technology and industry best practices
• Architecting and leading the migration of legacy data environments with performance and reliability
• Data Architecture contributions include assessing understanding and implementing data sources data models and schemas and data workflows
• Data Engineering contributions include assessing understanding designing and implementing ETL jobs data pipelines and workflows
• BI and Data Visualization contributions include assessing understanding designing and implementing reports selecting BI tools creating dynamic dashboards and setting up data pipelines in support of dashboards and reports
• Addressing technical inquiries concerning customization integration enterprise architecture and general feature / functionality of data products
• Experience in crafting and implementing data lakehouse solutions in the cloud (Preferably AWS. Alternatively Azure GCP). This includes relational databases data warehouses data lakes and distributed data systems.
• Key must have skill sets broad understanding of data exploitation lifecycle and capabilities technical leadership in the data field
• Support an Agile software development lifecycle
• You will contribute to the growth of our Data Exploitation Practice!

• Ability to hold a position of public trust with the US government.
• Bachelors 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.
• 5 years direct experience in Data Solutions with experience in tools such as:
  • Big data tools: Hadoop Spark Kafka etc.
  • Relational SQL and NoSQL databases such as Postgres MySQL MS SQL Server Oracle Mongo etc.
  • Data pipeline and workflow management tools: Airflow NiFi etc.
  • AWS cloud services such as EC2 EMR RDS Redshift Glue SageMaker (or Azure and GCP equivalents)
  • Data streaming systems: Storm SparkStreaming etc.
  • Data science tools/languages: R R Studio Python (data preparation and analysis libraries) Databricks etc.
  • Search tools: Solr Lucene Elasticsearch
  • Objectoriented/scripting languages: Python Java C Scala etc.
• 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 with message queuing stream processing and highly scalable big data data stores.
• 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.
• Experience supporting project teams of developers and data scientists who build webbased interfaces dashboards reports and analytics/machine learning models.

Steampunk relies on several factors to determine salary including but not limited to geographic location contractual requirements education knowledge skills competencies and experience. The projected compensation range for this position is $150000 to $185000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunks total compensation package for employees. Learn more about additional Steampunk benefits here.

Identity Statement

As part of the application process you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

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 HumanCentered 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. If you want to learn more about our story visit .

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 participates in the EVerify program.