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Senior Data Engineer
Confirmed live in the last 24 hours
San Jose, CA, USA
Experience Level
Desired Skills
Apache Spark
Business Analytics
Microsoft Azure
Power BI
  • 5+ years proven ability of professional Data Development experience
  • 3+ years proven ability of developing with Hadoop/HDFS and SQL (Oracle, SQL Server)
  • 3+ years of experience with PySpark/Spark
  • 3+ years of experience developing with either Python, Java, or Scala
  • Full understanding of ETL concepts and Data Warehousing concepts
  • Exposure to VCS (Git, SVN)
  • Strong understanding of Agile Principles (Scrum)
  • Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)
  • Experience with Azure
  • Exposure to NoSQL (Mongo, Cassandra)
  • Experience with Databricks
  • Exposure to Service Oriented Architecture
  • Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.)
  • Proficient with Relational Data Modeling and/or Data Mesh principles
  • Experience with CI/CD - Continuous Integration/Continuous Delivery
  • Salary to be determined by multiple factors including but not limited to relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data. In addition to salary, this position is also eligible for commissions. Base Range for San Jose, CA: $113,750 -$171,250
  • Below is a list of some of the benefits we offer our associates:
  • Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit
  • Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you
  • Happiness: Hybrid work environment. Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances
  • Participate in design and development of Hadoop and Cloud-based solutions
  • Perform unit and integration testing
  • Participate in implementation of BI visualizations
  • Collaborate with architecture and lead engineers to ensure consistent development practices
  • Provide mentoring to junior engineers
  • Participate in retrospective reviews
  • Participate in the estimation process for new work and releases
  • Collaborate with other engineers to solve and bring new perspectives to complex problems
  • Drive improvements in people, practices, and procedures
  • Embrace new technologies and an ever-changing environment
84.51 Degrees
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