Summer 2027 Data Engineering Internship
for section headings. Use - for any list of duties/requirements/benefits. Use
for prose.
We need to preserve all substantive information; do not invent or summarize away detail. Must not omit details.
We need to include all bullet points from "What You’ll Do". Let's list them:
- 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.
Now Requirements: education enrollment bullet? It's a sentence; could be a
or list. Since it's a single item, we can use
. But rule: Use
- for any list of duties/requirements/benefits. If it's not a list, we can use
. So we can put education requirement in
.
Skills: many items; we can make a
- list.
Benefits: many items; we can make a
- list.
Pay:
with base pay rate.
Schedule:
about flexible scheduling.
Now ensure we don't repeat job title. No mention of Job ID.
We must remove boilerplate: EEO, etc. Also remove "More Reasons To Join" maybe part of benefits; we already captured.
We must not include duplicated lines.
Now produce HTML fragment.
Let's craft:
About the role
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!
Responsibilities
- 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.
Requirements
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.
Skills
- 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
Benefits
- Relocation stipend available if residence is outside of 50 mile radius from office location
- Job security
- Flexible scheduling
- Great opportunities for career growth
- Professional development
- Executive mentorship program
- Collaborative environment
- Real world work
- Social events
- Training and education
- Networking and exposure to leadership
- Culture of belonging, diversity and inclusion; employees empowered to be authentic
Pay
The base pay rate for this position is $25.00 per hour for undergraduates and $30.00 per hour for advanced degrees.
Schedule
Flexible scheduling is offered.
Check we didn't miss any substantive info: The intro also mentions "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." included.
We also have "We’re investing in bright, agile new talent with fresh perspectives to help us innovate and build meaningful relationships for years to come." included.
We have "Interns will use industry leading tools such as Python, R, Sales Force, and Alteryx to help solve real world business problems." included.
We have "They will be paired with various business units (such as predictive analytics, actuarial, IT, customer
for prose. We need to preserve all substantive information; do not invent or summarize away detail. Must not omit details. We need to include all bullet points from "What You’ll Do". Let's list them: - 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. Now Requirements: education enrollment bullet? It's a sentence; could be a
or list. Since it's a single item, we can use
. But rule: Use
- for any list of duties/requirements/benefits. If it's not a list, we can use
. So we can put education requirement in
. Skills: many items; we can make a
- list.
Benefits: many items; we can make a
- list.
Pay:
with base pay rate. Schedule:
about flexible scheduling. Now ensure we don't repeat job title. No mention of Job ID. We must remove boilerplate: EEO, etc. Also remove "More Reasons To Join" maybe part of benefits; we already captured. We must not include duplicated lines. Now produce HTML fragment. Let's craft:
About the role
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!
Responsibilities
- 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.
Requirements
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.
Skills
- 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
Benefits
- Relocation stipend available if residence is outside of 50 mile radius from office location
- Job security
- Flexible scheduling
- Great opportunities for career growth
- Professional development
- Executive mentorship program
- Collaborative environment
- Real world work
- Social events
- Training and education
- Networking and exposure to leadership
- Culture of belonging, diversity and inclusion; employees empowered to be authentic
Pay
The base pay rate for this position is $25.00 per hour for undergraduates and $30.00 per hour for advanced degrees.
Schedule
Flexible scheduling is offered.
Check we didn't miss any substantive info: The intro also mentions "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." included. We also have "We’re investing in bright, agile new talent with fresh perspectives to help us innovate and build meaningful relationships for years to come." included. We have "Interns will use industry leading tools such as Python, R, Sales Force, and Alteryx to help solve real world business problems." included. We have "They will be paired with various business units (such as predictive analytics, actuarial, IT, customer
- list.
Pay:
- list.
Benefits: many items; we can make a