Pay
Lower than most similar jobs
$88K–$110K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
Tampa, Florida, United States
Live, first seen by us 35 days ago- Pay
$88,000–110,000/year · Base — pay source
Strong communication, collaboration, and leadership skills, including mentoring engineers and partnering with business and technical teams. Annual Base Salary Range: $88,000 - $110,000 What we offer:
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work in the US
Legally authorized to work in the US and within commutable distance of Tampa, FL
What you’ll work on
Full postingDesign and maintain scalable, secure data pipelines and architectures on Snowflake, AWS, and Azure
Build and optimize ETL/ELT processes for structured and unstructured data
Automate QA, DevOps, FinOps, and security governance controls
Partner with data scientists to put AI/ML models into production pipelines
Monitor data quality and ensure privacy, compliance, and governance requirements are met
From the employer’s posting
Design and maintain scalable, secure architectures and pipelines using Snowflake, AWS, Azure, Matillion, Databricks, Atlan, Profisee, and Power BI.
Build and optimize ETL/ELT processes for reliable delivery of structured and unstructured data.
Automate QA, DevOps, FinOps, and security governance to improve reliability, efficiency, and scalability.
Partner with data scientists to operationalize AI/ML models in production-ready pipelines.
Monitor data quality and ensure reporting needs, privacy, compliance, and governance requirements are met.
Education & alternatives
• Legally authorized to work in the U.S. and within commutable distance of Tampa, FL. • Bachelor's degree in Computer Science, Information Systems, Engineering, a related field, or equivalent experience. • 4+ years of hands-on experience with data engineering technologies including SQL, Azure Database, ADF, Snowflake, AWS, Synapse, and Matillion.
Benefits in the posting
Full benefits wording- Competitive salary, applicable annual bonus, medical, dental and vision coverage, 401(k) match, wellness and commuter benefits, pet insurance, generous PTO, hybrid work, career development, and an inclusive global culture.
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 30, 202635 days ago
- Recorded sightings
- 110
- 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 35
Similar jobs usually come down between day 6 and day 54.
At Philip Morris International U.S., jobs usually come down by about day 56.
From 10,845 similar postings that came down, and 9 of Philip Morris International U.S.’s. Coming down is not always a hire.
Philip Morris International U.S. is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
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
- Scala
- SQL
- AWS
- Azure
- Databricks
- Power BI
- Snowflake
Where the posting names them
• 4+ years of hands-on experience with data engineering technologies including SQL, Azure Database, ADF, Snowflake, AWS, Synapse, and Matillion. • Expertise in data pipelines, ETL/ELT processes, and cloud data warehouse optimization; proficiency in SQL and experience with Python and/or Scala. • Experience with Databricks, Power BI, Atlan, and Profisee is preferred, plus knowledge of MDM, data governance, and enterprise data quality.
• Bachelor's degree in Computer Science, Information Systems, Engineering, a related field, or equivalent experience. • 4+ years of hands-on experience with data engineering technologies including SQL, Azure Database, ADF, Snowflake, AWS, Synapse, and Matillion. • Expertise in data pipelines, ETL/ELT processes, and cloud data warehouse optimization; proficiency in SQL and experience with Python and/or Scala.
As a Data Engineer on the Data Services team, you will design, build, and optimize scalable solutions that make trusted, fit-for-purpose data available across the enterprise. You will use modern cloud and data platforms to accelerate analytics, AI, and insights while advancing automation, quality, and governance. • Design and maintain scalable, secure architectures and pipelines using Snowflake, AWS, Azure, Matillion, Databricks, Atlan, Profisee, and Power BI. • Build and optimize ETL/ELT processes for reliable delivery of structured and unstructured data.
• Expertise in data pipelines, ETL/ELT processes, and cloud data warehouse optimization; proficiency in SQL and experience with Python and/or Scala. • Experience with Databricks, Power BI, Atlan, and Profisee is preferred, plus knowledge of MDM, data governance, and enterprise data quality. • Experience automating QA, CI/CD, DevOps, FinOps, and security governance controls.
Your next step
Complete your application on join.pmicareers.com. The employer’s form will show what is required.
Applying through Phenom
- Phenom 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 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
Data Engineer
Be a part of a revolutionary change!
At Philip Morris International (PMI), we are transforming our business to deliver a smoke-free future. Join us to create better solutions and contribute to meaningful progress. Our scale offers.
Your 'day to day':
As a Data Engineer on the Data Services team, you will design, build, and optimize scalable solutions that make trusted, fit-for-purpose data available across the enterprise. You will use modern cloud and data platforms to accelerate analytics, AI, and insights while advancing automation, quality, and governance.
• Design and maintain scalable, secure architectures and pipelines using Snowflake, AWS, Azure, Matillion, Databricks, Atlan, Profisee, and Power BI.
• Build and optimize ETL/ELT processes for reliable delivery of structured and unstructured data.
• Automate QA, DevOps, FinOps, and security governance to improve reliability, efficiency, and scalability.
• Partner with data scientists to operationalize AI/ML models in production-ready pipelines.
• Monitor data quality and ensure reporting needs, privacy, compliance, and governance requirements are met.
• Mentor and collaborate with engineers, architects, and cross-functional partners, promoting technical excellence and continuous learning.
Who we're looking for:
• Legally authorized to work in the U.S. and within commutable distance of Tampa, FL.
• Bachelor's degree in Computer Science, Information Systems, Engineering, a related field, or equivalent experience.
• 4+ years of hands-on experience with data engineering technologies including SQL, Azure Database, ADF, Snowflake, AWS, Synapse, and Matillion.
• Expertise in data pipelines, ETL/ELT processes, and cloud data warehouse optimization; proficiency in SQL and experience with Python and/or Scala.
• Experience with Databricks, Power BI, Atlan, and Profisee is preferred, plus knowledge of MDM, data governance, and enterprise data quality.
• Experience automating QA, CI/CD, DevOps, FinOps, and security governance controls.
• Strong communication, collaboration, and leadership skills, including mentoring engineers and partnering with business and technical teams.
Annual Base Salary Range: $88,000 - $110,000
What we offer:
• Competitive salary, applicable annual bonus, medical, dental and vision coverage, 401(k) match, wellness and commuter benefits, pet insurance, generous PTO, hybrid work, career development, and an inclusive global culture.
PMI U.S.: Invested in America
Philip Morris International Inc.'s U.S. businesses are invested in America's future and advancing a smoke-free nation. The businesses are committed to providing the approximately 25 million legal-age consumers who smoke cigarettes with better, smoke-free alternatives and to ensuring the products are marketed responsibly. From PMI's global headquarters in Stamford, CT, and other locations nationwide, PMI U.S. contributes leadership, jobs, investment, and innovation in the U.S. The U.S. businesses employ more than 3,000 people across America and operate product manufacturing facilities. For more information, please visit www.uspmi.com. Philip Morris International (PMI) is an Equal Opportunity Employer.
#PMIUS #LI-LC1
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- Pay
Strong communication, collaboration, and leadership skills, including mentoring engineers and partnering with business and technical teams. Annual Base Salary Range: $88,000 - $110,000 What we offer:
- Location & working pattern
Tampa, Florida, United States
What we offer: • Competitive salary, applicable annual bonus, medical, dental and vision coverage, 401(k) match, wellness and commuter benefits, pet insurance, generous PTO, hybrid work, career development, and an inclusive global culture. PMI U.S.: Invested in America Philip Morris International Inc.'s U.S. businesses are invested in America's future and advancing a smoke-free nation. The businesses are committed to providing the approximately 25 million legal-age consumers who smoke cigarettes with better, smoke-free alternatives and to ensuring the products are marketed responsibly. From PMI's global headquarters in Stamford, CT, and other locations nationwide, PMI U.S. contributes leadership, jobs, investment, and innovation in the U.S. The U.S. businesses employ more than 3,000 people across America and operate product manufacturing facilities. For more information, please visit www.uspmi.com. Philip Morris International (PMI) is an Equal Opportunity Employer. #PMIUS #LI-LC1
- Work authorization
Who we're looking for: • Legally authorized to work in the U.S. and within commutable distance of Tampa, FL. • Bachelor's degree in Computer Science, Information Systems, Engineering, a related field, or equivalent experience.