Skip to main content
PwC logo

Payer Healthcare Data Engineer, Senior Manager

PwC

Multiple U.S. locationsJob$124–280K/yrSeen todaySeen in employer's feed today

See where you stand before you apply. No sign-up to start.

You apply on the posting's application page, 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
$124–280K/yr
Location
Multiple U.S. locations
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

The Payer Healthcare Data Engineer, Senior Manager leads data and analytics engineering efforts supporting payer modernization and client decision-making. The role designs data solutions, guides large projects, coaches teams through ambiguity, and communicates recommendations that connect technical detail with business goals. It applies data science and engineering methods to develop and present solutions for client needs and operational priorities within PwC’s Advisory practice.

Skills & qualifications

RequiredNice to have

Skills

Payer Data Engineering, nice to haveAnalytics, nice to haveData Modeling, nice to haveData Visualization, nice to haveHealthcare Payer Data, nice to haveClaims Data, nice to haveMembership Data, nice to haveClient-Facing Delivery, nice to haveProject Leadership, nice to haveTeam Coaching, nice to haveClient Communication, nice to have

Qualifications

Bachelor's Degree, required7+ Years Experience, requiredAccounting or Related, nice to haveAnalytics/Data Science or Related, nice to haveArtificial Intelligence/Robotics or Related, nice to haveBusiness Administration/Management or Related, nice to haveComputer Science/Information Systems or Related, nice to haveCybersecurity or Related, nice to haveEngineering or Related, nice to haveMathematics/Statistics or Related, nice to haveOperations/Supply Chain or Related, nice to haveProject/Technology Management or Related, nice to have

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job description

The Opportunity

As a Payer Healthcare Data Engineer, Senior Manager you will lead data and analytics engineering efforts that support payer modernization, design data solutions, and turn complex health services data into insights that inform decision-making within our Advisory practice. As a Senior Manager you will leverage your influence, skills, and network to guide large projects, coach teams through ambiguity, and communicate clear recommendations that connect technical detail with business goals. In this role at PwC, you will draw on data science and data engineering methods to develop, refine, and present data-driven solutions that support client needs and operational priorities.

Responsibilities

  • Leading payer data engineering initiatives that align analytics solutions with healthcare client needs and modernization goals

  • Designing data pipelines, data models, and interoperability frameworks that support claims, membership, and provider data use cases

  • Applying statistical analysis, machine learning, and data science methods to translate complex payer data into actionable insights

  • Directing technical delivery across large programs, balancing scope, timelines, and team execution through ambiguous work

  • Advising clients on payer platform strategy, data architecture, and operational improvements that support member and provider outcomes

  • Validating data quality, lineage, and security controls across healthcare data environments, including HIPAA and regulatory requirements

  • Coaching team members through technical problem solving, code review, and data science workflow refinement

  • Presenting findings and recommendations to client stakeholders using clear narratives, visualizations, and decision-focused analysis

What You Must Have

  • At least a Bachelor's degree

  • At least 7 years of experience

What Sets You Apart

  • Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance

  • Demonstrating payer healthcare data engineering experience supporting modernization efforts

  • Applying data engineering skills across analytics, modeling, and visualization initiatives

  • Utilizing healthcare payer, claims, or membership data in client-facing delivery

  • Leading complex data projects and coaching teams through ambiguity

  • Translating technical findings into clear, actionable client messages

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

How this job compares

Set against the 2,922 open Data Engineering jobs on Olive Jobs, counted November 14, 2026.

Pay
  • This posting$124–280K/yr
  • North Carolina median$103–208K/yr65 salary ranges
  • US median$124–213K/yr2,420 salary ranges

This range's midpoint, $202K, is 25% above the North Carolina median midpoint ($161K) — in the top quarter of Data Engineering salary ranges in North Carolina.

Openings
Olive Jobs lists 80 open Data Engineering jobs in North Carolina and 2,922 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in North Carolina
Experience
This posting asks for at least 7 years of experience; Data Engineering postings that state a minimum ask for 5 years at the median (2,557 postings).
Education
This posting asks for a bachelor's degree; 1,083 of the 2,922 open Data Engineering jobs (37%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.

Prepare for this role

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