Insight Global logo

Data Engineer

Insight Global

Pleasanton, CAJobSeen todaySeen in employer's feed today

Most applications go out cold — see where you stand first. No sign-up to start.

You apply on the employer's site, with no Olive account needed.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
No compensation found
Location
Pleasanton, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Data Engineer will work with Risk Engineers, Data Engineers, Corrosion Engineering, GIS, Foundry, and other business partners to improve data integration, governance, and reporting for pipeline integrity risk assessments. The role addresses business needs in data quality, validation rigor, and process automation identified through program assessments and continuous improvement efforts.

Skills & qualifications

RequiredNice to have

Skills

Data AutomationETL SolutionsPythonSQLAPI IntegrationDatabase DevelopmentData IntegrationPower BIReporting PlatformsData Quality ManagementValidation FrameworksStakeholder CollaborationRequirements Translation

Qualifications

Data Automation ExperienceETL Solutions ExperienceAPI ExperienceDatabase Development ExperienceData Integration Experience

Full job description

Job Description

Work closely with Risk Engineers, Data Engineers, Corrosion Engineering, GIS, Foundry, and other business partners to improve data integration, governance, and reporting capabilities supporting pipeline integrity risk assessments. The position is intended to address current business needs related to data quality, validation rigor, and process automation identified through ongoing program assessments and continuous improvement efforts

Skills and Requirements

  • Experience developing data automation and ETL solutions.
  • Strong proficiency in Python and SQL.
  • Experience with APIs, database development, and data integration.
  • Experience with Power BI or similar reporting platforms.
  • Knowledge of data quality management and validation frameworks.
  • Ability to work with technical and business stakeholders to translate requirements into automated solutions.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

How this job compares

Set against the 6,271 open Data Engineer jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This postingNot listed
  • California median$150–239K/yr689 salary ranges
  • California median$70–81/hr38 hourly ranges
Openings
Olive Jobs lists 897 open Data Engineer jobs in California and 6,271 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Data Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,462 postings).
Education
2,408 of the 6,271 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Prepare for this role

You've read the whole posting — now see how you match it.