Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Senior Engineer, Big Data
United States; United States
Live, first seen by us 83 days ago- Pay
$79,607.91–172,483.8/ ANNUAL. Location-specific pay — pay source
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $79,607.91 - $172,483.8 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDefine enterprise architecture patterns and standards for data and analytics solutions
Design and implement modern data platforms focused on performance and security
Lead adoption of Databricks Lakehouse capabilities across engineering, governance, and AI/ML
Build automation frameworks to improve Databricks platform reliability and productivity
Drive data governance, security, compliance, and data quality initiatives
From the employer’s posting
Define and establish enterprise architecture patterns, standards, frameworks, and best practices for scalable data and analytics solutions
Design, architect, and implement modern data platforms with a focus on performance, scalability, security, reliability, and maintainability
Lead the adoption and enablement of Databricks Lakehouse capabilities
Develop automation frameworks and engineering solutions to improve Databricks platform reliability, operational efficiency, and developer productivity
Drive data governance, security, compliance, and data quality initiatives across the enterprise data ecosystem
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
- 5-7 years of experience in Solution Architecture, Data Architecture, or Enterprise Architecture roles.
- 5+ years of experience designing and delivering enterprise-scale data management and analytics solutions.
- 3+ years of experience in Platform Engineering and cloud-native data platforms.
- Experience implementing medallion architectures and enterprise data models across ingestion, curation, and consumption layers.
- Strong experience architecting and implementing Data Governance, Data Quality, Metadata Management, and Data Security solutions.
Preferred experience
- Experience with healthcare data standards such as FHIR, HL7, X12, HEDIS, or claims and clinical data is preferred.
Qualification wording
Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
5-7 years of experience in Solution Architecture, Data Architecture, or Enterprise Architecture roles.
5+ years of experience designing and delivering enterprise-scale data management and analytics solutions.
3+ years of experience in Platform Engineering and cloud-native data platforms.
Experience implementing medallion architectures and enterprise data models across ingestion, curation, and consumption layers.
Strong experience architecting and implementing Data Governance, Data Quality, Metadata Management, and Data Security solutions.
Experience with healthcare data standards such as FHIR, HL7, X12, HEDIS, or claims and clinical data is preferred.
Education & alternatives
Education - Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field. Experience
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 13, 202683 days ago
- Recorded sightings
- 481
- Last seen by us
- Nov 4, 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
Time since we first saw it
Day 83
Up longer than most. Similar jobs usually come down between day 7 and day 53.
Well past Molina Healthcare’s usual: its jobs come down by about day 30.
From 7,871 similar postings that came down, and 55 of Molina Healthcare’s. Coming down is not always a hire.
Molina Healthcare is hiring
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
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
- SQL
- AWS
- Azure
- Databricks
- Delta Lake
- Spark
- PySpark
- GCP
Where the posting names them
- Proven experience supporting AI/ML initiatives and modern data analytics ecosystems. - Advanced hands-on experience with Python, PySpark, SQL, Apache Spark, Delta Lake, and distributed data-processing frameworks. - Experience with CI/CD, Infrastructure as Code, automated testing, and production deployment of Databricks workloads.
- Hands-on experience with Databricks and Lakehouse architecture. - Experience delivering cloud-based solutions using Azure, AWS, or Google Cloud Platform. - Proven experience supporting AI/ML initiatives and modern data analytics ecosystems.
Job Description Job Summary We are seeking a highly skilled and experienced Sr Big Data Engineer to drive enterprise architecture strategy, platform engineering, modernization initiatives, and end-to-end solution delivery. This role will lead data and analytics transformation efforts leveraging Databricks, cloud-native technologies, and modern data platform architectures. The ideal candidate will partner closely with Enterprise Information Management (EIM), business stakeholders, and technology leaders to design and deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI/ML, and enterprise reporting capabilities.
- Design, architect, and implement modern data platforms with a focus on performance, scalability, security, reliability, and maintainability. - Lead the adoption and enablement of Databricks Lakehouse capabilities, including Data Engineering, Data Governance, Analytics, and AI/ML workloads. - Evaluate emerging technologies, tools, and frameworks to support enterprise business and technology objectives.
- Conduct architecture and design reviews to ensure alignment with enterprise standards and best practices. - Develop automation frameworks and engineering solutions to improve Databricks platform reliability, operational efficiency, and developer productivity. - Partner with data ingestion, curation, and consumption teams to optimize data processing, platform performance, and cloud costs.
- Strong experience architecting and implementing Data Governance, Data Quality, Metadata Management, and Data Security solutions. - Hands-on experience with Databricks and Lakehouse architecture. - Experience delivering cloud-based solutions using Azure, AWS, or Google Cloud Platform.
- Advanced hands-on experience with Python, PySpark, SQL, Apache Spark, Delta Lake, and distributed data-processing frameworks. - Experience with CI/CD, Infrastructure as Code, automated testing, and production deployment of Databricks workloads. - Experience with healthcare data standards such as FHIR, HL7, X12, HEDIS, or claims and clinical data is preferred.
Your next step
Complete your application on careers.molinahealthcare.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
- Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
Job Description
Job Summary
We are seeking a highly skilled and experienced Sr Big Data Engineer to drive enterprise architecture strategy, platform engineering, modernization initiatives, and end-to-end solution delivery. This role will lead data and analytics transformation efforts leveraging Databricks, cloud-native technologies, and modern data platform architectures.
The ideal candidate will partner closely with Enterprise Information Management (EIM), business stakeholders, and technology leaders to design and deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI/ML, and enterprise reporting capabilities.
This is a hands-on technical leadership role, with approximately 40% architecture and strategy, 30% engineering and platform implementation, and 30% governance, mentoring, and stakeholder collaboration.
Key Responsibilities
- Define and establish enterprise architecture patterns, standards, frameworks, and best practices for scalable data and analytics solutions.
- Design, architect, and implement modern data platforms with a focus on performance, scalability, security, reliability, and maintainability.
- Lead the adoption and enablement of Databricks Lakehouse capabilities, including Data Engineering, Data Governance, Analytics, and AI/ML workloads.
- Evaluate emerging technologies, tools, and frameworks to support enterprise business and technology objectives.
- Collaborate with business leaders, executives, data teams, and engineering organizations to translate strategic goals into technology solutions.
- Provide hands-on architectural leadership throughout the solution lifecycle, from strategy and design through implementation and operationalization.
- Conduct architecture and design reviews to ensure alignment with enterprise standards and best practices.
- Develop automation frameworks and engineering solutions to improve Databricks platform reliability, operational efficiency, and developer productivity.
- Partner with data ingestion, curation, and consumption teams to optimize data processing, platform performance, and cloud costs.
- Drive data governance, security, compliance, and data quality initiatives across the enterprise data ecosystem.
-
Mentor engineering teams and promote cloud-native, platform engineering, and modern data architecture best practices.
Required Qualifications
Education
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
Experience
- 5-7 years of experience in Solution Architecture, Data Architecture, or Enterprise Architecture roles.
- 5+ years of experience designing and delivering enterprise-scale data management and analytics solutions.
- 3+ years of experience in Platform Engineering and cloud-native data platforms.
- Experience implementing medallion architectures and enterprise data models across ingestion, curation, and consumption layers.
- Strong experience architecting and implementing Data Governance, Data Quality, Metadata Management, and Data Security solutions.
- Hands-on experience with Databricks and Lakehouse architecture.
- Experience delivering cloud-based solutions using Azure, AWS, or Google Cloud Platform.
- Proven experience supporting AI/ML initiatives and modern data analytics ecosystems.
- Advanced hands-on experience with Python, PySpark, SQL, Apache Spark, Delta Lake, and distributed data-processing frameworks.
- Experience with CI/CD, Infrastructure as Code, automated testing, and production deployment of Databricks workloads.
- Experience with healthcare data standards such as FHIR, HL7, X12, HEDIS, or claims and clinical data is preferred.
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $79,607.91 - $172,483.8 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $79,607.91 - $172,483.8 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
- Location & working pattern
United States; United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.