About the role

  • Develop and maintain data pipelines to process and integrate data from multiple sources into the Enterprise Data Platform.
  • Build and optimize SQL queries and data transformations to support Data Engineering use cases
  • Perform data validation and troubleshooting of data pipelines to ensure data accuracy and consistency.
  • Automate workflows to improve data processing efficiency and reduce manual effort.
  • Monitor and optimize the performance of data pipelines and queries.
  • Participate in Agile ceremonies to plan, estimate, and deliver work
  • Assist in creating documentation for data workflows, transformations, and standards.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or a related
  • 2 or more years of experience in data engineering or related role
  • Proficiency in SQL for data transformation and analysis
  • Knowledge of Python or Py-Spark for data processing
  • Familiarity with cloud-based data platforms such as Snowflake, Databricks, or similar tools
  • Experience with ETL tools and frameworks like Informatica, Talend, Boomi or equivalent
  • Understanding of data modeling concepts and database design principles

Benefits

  • Comprehensive healthcare plans
  • Wellness incentive program
  • Mental wellbeing support
  • Fitness reimbursement
  • Bonus incentive opportunity
  • Matching 401(k)
  • Stock purchase plan
  • Career development opportunities
  • Employee resource groups
  • On-demand learning
  • Tuition reimbursement
  • Paid-time off
  • Parental leave
  • Flexible work-schedules
  • Volunteer opportunities

Job title

Data Engineer

Job type

Experience level

JuniorMid level

Salary

$72,500 - $107,000 per year

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job