Steampunk, Inc.

Steampunk, Inc.

Data Engineer (GCP)

McLean, Virginia

Sponsorship not specified$110k-$160kDetected 30 days ago
PythonJavaScalaGitSQLNoSQLElasticsearchBigQueryGCPMachine LearningData AnalysisData EngineeringData VisualizationAgentic AIAgileGoogle AnalyticsCustomer SupportCommunication

About the role

  • The estimate displayed represents a typical annual salary range for this position.
  • We reserve the right to take your picture to verify your identity and prevent fraud.
  • 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.

Responsibilities

  • Support an Agile software development lifecycle.
  • Experience designing, building, and maintaining batch and real-time ETL/ELT pipelines and data warehouse solutions

Requirements

  • Ability to hold a position of public trust with the US government
  • Bachelor's degree and 7+ years of overall work experience
  • 3-5 years industry experience coding commercial software and a passion for solving complex problems
  • 3-5 years direct experience in Data Engineering with experience in tools such as:
  • Experience working with large-scale structured and unstructured datasets, including data transformation, aggregation, processing, reporting, and extracting actionable insights from multiple data sources
  • Experience with data modeling and architecture, including dimensional modeling, star schemas, medallion architecture, and the design of transactional and analytical data systems
  • Experience with message queuing, stream processing, and highly scalable data platforms
  • Experience using Git for source control and version management of data pipelines and data integration solutions
  • Key must have skill sets - SQL, GCP.

Nice to have

  • LookML experience is a plus
  • Experience with AI/ML data platforms, Agentic AI concepts, or AI-enabled data solutions is a plus

Compensation

  • $110k-$160k

Benefits

  • Experience working in Agile environments and collaborating with developers, analysts, and data scientists to deliver dashboards, reports, analytics, and machine learning solutions
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