Pay
In line with similar jobs
$152K–$186K against $127K–$190K, the middle half of what similar US postings state.
From 2,163 postings in the last year. Stated ranges, not salaries paid.
Charlotte-128
Actively hiring, first seen by us todayThe base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $152,370.00 - $186,230.00 Your Benefits Start Day 1Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Proficiency in SQL and Python and experience with semantic layers, ontology, and reference data management.
Experience with the latest data management and orchestration technologies including Snowflake and dbt.
Experience with RESTful APIs, event-driven integration, and microservices administration platforms.
Experience in insurance data domains such as Distribution, Product, Underwriting, Enrollment, Finance, Billing, and Claims.
The experience you bring: - Bachelor's degree in Computer Science or a related field; master's degree preferred. - 10+ years of experience delivering enterprise data products, data warehouses, data integrations, and enterprise data architecture.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$152K–$186K against $127K–$190K, the middle half of what similar US postings state.
From 2,163 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
At Pacificlife, jobs usually come down by about day 32.
From 11,349 similar postings that came down, and 20 of Pacificlife’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Preferred Qualifications - Proficiency in SQL and Python and experience with semantic layers, ontology, and reference data management. - Experience with the latest data management and orchestration technologies including Snowflake and dbt.
- Proficiency in SQL and Python and experience with semantic layers, ontology, and reference data management. - Experience with the latest data management and orchestration technologies including Snowflake and dbt. - Experience with RESTful APIs, event-driven integration, and microservices administration platforms.
Complete your application on pacificlife.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job Description:
Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own.
We’re actively seeking a talented Data Engineering Leader to join our Workforce Benefits Team in Newport Beach, CA.
Reporting to the Head of Data Engineering, the Data Engineering Leader owns the strategy, lifecycle, delivery, and operational performance of Workforce Benefits Division (WBD) data products.
The role leads a team of data engineers and analysts to build secure, scalable data pipelines, infrastructure, models, marts, and real-time data solutions that support reporting, analytics, operations, and business decision-making. This leader translates stakeholder needs and data strategy into prioritized agile backlogs, provides technical direction, and partners across business, technology, architecture, governance, and vendor teams to deliver trusted data products aligned with business goals.
How you’ll help move us forward:
The experience you bring:
Preferred Qualifications
#LI-DW1
Base Pay Range:
The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.
$152,370.00 - $186,230.00Your Benefits Start Day 1
Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.
Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents
Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off
Paid Parental Leave as well as an Adoption Assistance Program
Competitive 401k savings plan with company match and an additional contribution regardless of participation
You Can Be Who You Are
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.
What’s life like at Pacific Life? Visit Instagram.com/lifeatpacificlife
EEO Statement:
Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $152,370.00 - $186,230.00 Your Benefits Start Day 1
Charlotte-128
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.