Sr. Data Engineer

Gravity IT Resources

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Job Title: Sr. Data Engineer

Location: Remote

Job-Type: Direct Hire

Employment Eligibility: Gravity cannot transfer nor sponsor a work visa for this position. Applicants must be eligible to work in the U.S. for any employer directly (we are not open to contract or “corp to corp” agreements).

 

About the Role:
 

  • Collect business requirements and design highly optimized data models
  • Identify performance metrics definition and automation
  • Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed
  • Define and extend our internal standards for style, maintenance, and best practices for a high-scale data platform
  • Build trust through data conversion to data stories for internal and external consumption
  • Serve as the subject matter expert for the Enterprise Data Model
  • Design, develop, and extend data workflows (pipelines)
  • Create and maintain architecture and systems documentation
  • Provide cross team support for CRM and Marketing teams
  • Assist with complex data analysis tasks
  • Implement the DataOps philosophy in everything you do
  • Create enterprise grade reporting/data visualization solutions

 

Skills and Responsibilities:

 

  • Bachelor’s degree required
  • 4+ years in the Data space as an analyst, engineer, or equivalent
  • 4+ years experience designing, implementing, operating, and extending commercial Kimball enterprise dimensional model
  • 4+ years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment
  • Technical knowledge of data systems and curiosity to solve business problems
  • Track record with optimal data model development to drive business insights
  • Demonstrably deep understanding of SQL and analytical data warehouses (Databricks preferred)
  • Demonstrated experience with one or more of the following business subject areas: marketing, finance, sales, product, customer success, customer support, engineering, or people
  • Experience with extracting and transforming data from cloud native sources (Salesforce, NetSuite)
  • Professional experience using Python, SQL, Java, or Scala for data processing (Python preferred)
  • Hands-on experience with data pipeline tools (Airflow, dbt)

Law.Jones

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