Steampunk is looking for a Technical Lead to develop enterprise-grade data platforms, services, pipelines, data models, and visualizations for their clients in the Federal contracting industry.
Requirements
- 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, Spark-Streaming, etc.
- Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc.
Responsibilities
- 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
- Data Science contributions include assessing, understanding, designing, and implementing machine learning and AI applications, designing MLOps pipelines, and supporting data scientists
- Addressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
Other
- Ability to obtain and hold a security clearance with the US government.
- Support an Agile software development lifecycle
- 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
- 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.
