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Data Engineer

Job in San Bruno, San Mateo County, California, 94066, USA
Listing for: LanceSoft
Full Time position
Listed on 2025-12-30
Job specializations:
  • Engineering
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80 - 94 USD Hourly USD 80.00 94.00 HOUR
Job Description & How to Apply Below

Job Description: Title:
Data Engineer II

Location:

San Bruno California 94066 (Hybrid)
Duration: 06 months with possible extension or conversion
Pay Rate: $80.00 – $94.00/hr. on W2

Work Hours:

9am-5pm
Hybrid

Schedule:

A minimum of three days per week. Preferred days include, but are not limited to, Tuesday, Wednesday, and Thursday. The specific days will be determined based on team requirements and project needs.

Description

This role will support the analytics and data needs for ***’s first-party solutions to support research and care programs. This role will work broadly in the data stack in ***’s Precision Health Platform: collaborating across and between Engineering and Data teams, deeply understanding data sources, owning data modeling, and supporting the needs of Product and Analytics.

Responsibilities
  • Design, develop, test, deploy, maintain and improve analytical data models and pipelines.
  • Contribute to cross-functional team efforts, driving engineering solutions that deliver significant value to partners.
  • Manage individual project priorities, deadlines and deliverables while ensuring adherence to agile principles to design iteratively and adapt to changing requirements.
  • Collaborate with engineers and analysts, contribute to technical designs, and support intuitive, performant and high‑quality data models.
Minimum Qualifications
  • BS degree or equivalent practical experience.
  • 2+ years experience with data engineering or analytics engineering, including SQL and ETL.
  • 1+ years experience with the dbt (data build tool) library.
Preferred Qualifications
  • Experience supporting software in the health care field.
  • Exposure to object-oriented programming in a language such as Python or Go.
  • Familiarity with collaboration and prioritization across a broad organization.
  • Experience in SQL optimization and data best practices.

Lance Soft

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