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Summer 2027 Data Engineering Internship

Pay
Multiple pay amounts — pay source
Display a true passion and intellectual curiosity for data science via coursework, external activities such as Kaggle contests or hackathons, or some combination of both The base pay rate for this position is $25.00 per hour for undergraduates and $30.00 per hour for advanced degrees. Relocation stipend available if residence is outside of 50 mile radius from office location.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates
For current studentsCurrently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, Information Technology, Mathematics, Economics, Business, Machine Learning, Applied Mathematics, Statistics, or another quantitative Field

What you’ll work on

Full posting
  • Evaluate business needs and clarify requirements, data, and systems for technology projects

  • Mine large and complex datasets and turn insights into product features

  • Build data engineering solutions for speed, scalability, and reliability

  • Assist with integration design, development, and implementation

From the employer’s posting
Participate in evaluating business needs, and clarify requirements, data, processes, and systems for complex technology projects.
Mine large and complex datasets for insights and converting the insights into product features.
Build creative solutions to complex business problems that provide functionality, speed, scalability, and reliability required by the business to use data effectively.
Work closely with other teams to assist with integration design, development & implementation.

What you’ll bring

All qualifications

Core experience

  • Currently enrolled in a Bachelor's or Master's degree in a quantitative field
  • Programming experience in Python or R
  • Experience with data modeling
  • Strong analytical, problem solving, and organizational skills
Qualification wording
Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, Information Technology, Mathematics, Economics, Business, Machine Learning, Applied Mathematics, Statistics, or another quantitative Field.
Experience in programming (Python or R preferred)
Experience with data modeling
Strong analytical, problem solving, and organizational skills
Education & alternatives
Factors for Success - Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, Information Technology, Mathematics, Economics, Business, Machine Learning, Applied Mathematics, Statistics, or another quantitative Field. - Strong analytical, problem solving, and organizational skills Excellent communication skills, the ability to multitask, prioritize work, take initiative, and be self-sufficient with responsibilities
Apply at Pacificlife

Posting record

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Status in our records
Live
First seen by us
Sep 26, 202640 days ago
Recorded sightings
79
Last seen by us
Nov 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 40

Similar jobs usually come down between day 6 and day 54.

At Pacificlife, jobs usually come down by about day 32.

From 11,224 similar postings that came down, and 20 of Pacificlife’s. Coming down is not always a hire.

Pacificlife is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

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.

  • Python
  • R
  • SAS
  • AWS
  • NoSQL
  • Tableau
  • PostgreSQL
Where the posting names them
Look no further than Pacific Life. We’re investing in bright, agile new talent with fresh perspectives to help us innovate and build meaningful relationships for years to come. We are currently looking to add Data Engineering Interns to our team for Summer 2027 at a Fortune 500 company in the financial services industry. As a Data Engineering Intern, you will play a key role in developing a more data driven culture at Pacific Life. Interns will use industry leading tools such as Python, R, Sales Force, and Alteryx to help solve real world business problems. They will be paired with various business units (such as predictive analytics, actuarial, IT, customer experience, etc.) to provide technical expertise while learning more about the business. If you are passionate about data, you’re exactly who we’re seeking! What You’ll Do
- Desire for learning new technologies and analytic tools; as well as modeling and quantitative techniques - Experience in programming (Python or R preferred) - Experience with data modeling
- Experience with data modeling - Familiarity with data science or data analytics tools and platforms such as: Alteryx, AWS data science and analytics related services, SAS platform, Tableau, RDBMS such as MSQL, Postgres, other DBMS, e.g NoSQL experience - Demonstrated skills of machine learning, data modeling, used in data science or other applied technology skills such as database engineering, application development, cloud engineering and user experience design

Your next step

Complete your application on pacificlife.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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

View original posting ↗

Job Description:

Looking to jumpstart your career at a company that offers real opportunities to flourish?


Look no further than Pacific Life. We’re investing in bright, agile new talent with fresh perspectives to help us innovate and build meaningful relationships for years to come. We are currently looking to add Data Engineering Interns to our team for Summer 2027 at a Fortune 500 company in the financial services industry.


As a Data Engineering Intern, you will play a key role in developing a more data driven culture at Pacific Life. Interns will use industry leading tools such as Python, R, Sales Force, and Alteryx to help solve real world business problems. They will be paired with various business units (such as predictive analytics, actuarial, IT, customer experience, etc.) to provide technical expertise while learning more about the business. If you are passionate about data, you’re exactly who we’re seeking!


What You’ll Do

  • Participate in evaluating business needs, and clarify requirements, data, processes, and systems for complex technology projects.
  • Mine large and complex datasets for insights and converting the insights into product features.
  • Collaborate with analysts and other engineers to formulate innovative data engineering solutions.
  • Build creative solutions to complex business problems that provide functionality, speed, scalability, and reliability required by the business to use data effectively.
  • Work closely with other teams to assist with integration design, development & implementation.
  • Communicate complex concepts and results in a clear and effective manner.

Factors for Success

  • Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, Information Technology, Mathematics, Economics, Business, Machine Learning, Applied Mathematics, Statistics, or another quantitative Field.
  • Strong analytical, problem solving, and organizational skills Excellent communication skills, the ability to multitask, prioritize work, take initiative, and be self-sufficient with responsibilities
  • Ability to work well with others as a team and independently
  • Desire for learning new technologies and analytic tools; as well as modeling and quantitative techniques
  • Experience in programming (Python or R preferred)
  • Experience with data modeling
  • Familiarity with data science or data analytics tools and platforms such as: Alteryx, AWS data science and analytics related services, SAS platform, Tableau, RDBMS such as MSQL, Postgres, other DBMS, e.g NoSQL experience
  • Demonstrated skills of machine learning, data modeling, used in data science or other applied technology skills such as database engineering, application development, cloud engineering and user experience design
  • Display a true passion and intellectual curiosity for data science via coursework, external activities such as Kaggle contests or hackathons, or some combination of both

The base pay rate for this position is $25.00 per hour for undergraduates and $30.00 per hour for advanced degrees.


Relocation stipend available if residence is outside of 50 mile radius from office location.


More reasons to join:

At Pacific Life, the work we do matters. We work passionately each day to drive our company forward while enjoying job security, flexible scheduling, and great opportunities for career growth.


If you’re seeking a thriving career doing the type of meaningful work that’s all too rare at a Fortune 500 Company, Pacific Life is the place for you. If you are a self-starter who appreciates creativity and individuality in your colleagues – even better. We look forward to receiving your application.


You belong at Pacific Life:

At Pacific Life, we believe you belong. We foster a culture of belonging, a space where all employees are empowered to be authentic. We embrace and celebrate diversity, create a culture of equity and inclusion, and value and respect every employee.

How We Help You Succeed:

Our Summer Internship Program has become Pacific Life’s talent pipeline for full time early career opportunities. The University Relations team ensures each intern has a well-rounded positive experience to help them reach their career goals. The Summer Program includes:

  • Professional Development

  • Executive Mentorship Program

  • Collaborative Environment

  • Real World Work

  • Social Events

  • Training and Education

  • Networking and Exposure to Leadership

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.

Source details

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Pay
Display a true passion and intellectual curiosity for data science via coursework, external activities such as Kaggle contests or hackathons, or some combination of both The base pay rate for this position is $25.00 per hour for undergraduates and $30.00 per hour for advanced degrees. Relocation stipend available if residence is outside of 50 mile radius from office location.
Location & working pattern

Newport Beach CA-700

Working pattern and location restrictions need checking in the full posting.

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