Steampunk is looking for a seasoned Data Engineer to develop enterprise-grade data platforms, services, and pipelines for their clients in the Federal contracting industry.
Requirements
- 5-7 years direct experience in Data Engineering with experience in tools such as:
- Big data tools: Hadoop, Spark, Kafka, etc.
- Relational SQL and NoSQL databases, including Postgres and Cassandra.
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents)
- Data streaming systems: Storm, Spark-Streaming, etc.
- Search tools: Solr, Lucene, Elasticsearch
Responsibilities
- Lead and architect migration of data environments with performance and reliability.
- Assess and understand the ETL jobs, workflows, BI tools, and reports
- Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
- Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
- Key must have skill sets – Python, AWS
- Support an Agile software development lifecycle
- You will contribute to the growth of our Data Exploitation Practice!
Other
- 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.
- Excellent communication and customer service skills and a passion for data and problem solving.
- 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
