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.
Requirements
- 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.
- Search tools: Solr, Lucene, Elasticsearch
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
- US Citizen Only
- Ability to obtain and hold a security clearance with the US government.
- 5+ years industry experience leading the design and implementation of data systems
- 5+ years direct experience in Data Solutions
- Experience working in an Agile environment
