Pay
Higher than most similar jobs
$217K–$251K against $127K–$190K, the middle half of what similar US postings state.
From 2,159 postings in the last year. Stated ranges, not salaries paid.
Principal Engineer, Data Engineering
US, MA, Wilmington
Live, first seen by us 66 days ago- Pay
$216,643–250,920/year — pay source
Job Type: Full Time Rate of Pay: $216,643 - $250,920 per year Duties:
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Job Location: Wilmington, Massachusetts Job Type: Full Time Rate of Pay: $216,643 - $250,920 per year
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and own end-to-end data architecture for scalable AI and analytics systems
Define engineering standards for data modeling, ingestion, storage and transformation
Build frameworks for data quality, observability and governance across domains
Mentor data engineers through coding standards, code reviews and design reviews
Work with AI/ML and software engineers to train, tune and deploy models on large datasets
From the employer’s posting
design and own end-to-end data architecture to build scalable and resilient systems
Define and champion engineering best practices, frameworks and standards for data modeling, ingestion, storage and transformation
Drive the frameworks to implement Data Quality, Observability and Data Governance across domains.
mentor data engineers by setting coding standards and best practices with thorough code reviews and design reviews
Collaborate with AI/ML and software engineers to train and tune AI models and enable fast experimentation and deployment with large datasets.
Education & alternatives
Partial Telecommute Benefit (2 days/week work from home) Requirements: Must have a Master’s degree in Information Technology, Computer Science, Electrical Engineering, Computer Engineering, or a related field (willing to accept a foreign education equivalent) and five (5) years of experience in the proffered role or related occupation defining, architecting, and rolling out data products, including ownership of data products through their entire lifecycle. Or in the alternative, a Bachelor’s degree in Information Technology, Computer Science, Electrical Engineering, Computer Engineering, or a related field (willing to accept a foreign education equivalent) and seven (7) years of experience in the proffered role or related occupation defining, architecting, and rolling out data products, including ownership of data products through their entire lifecycle. Must also possess the following (quantitative experience requirements not applicable to this section):
About Analog
(NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 3, 202666 days ago
- Recorded sightings
- 165
- Last seen by us
- Nov 8, 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 66
Up longer than most. Similar jobs usually come down between day 6 and day 54.
At Analog, jobs usually come down by about day 54.
From 11,581 similar postings that came down, and 51 of Analog’s. Coming down is not always a hire.
Analog is hiring
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- 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
- SQL
- AWS
- Azure
- BigQuery
- Datadog
- GCP
- Grafana
- Hadoop
- Kafka
- Kubernetes
- Looker
- Oracle
- Redshift
- Spark
- SQL Server
- Tableau
- Terraform
- Airflow
Where the posting names them
- Demonstrated Expertise (“DE”) with distributed systems, streaming systems, and data engineering tools, such as Spark, Kubernetes, Terraform, Kafka, Pub Sub, Airflow, or Hadoop. - DE with ETL tools such as Informatica, Talend, SQL, or Python, databases like Oracle, SQL Server or Vertica), analytical and visualization tools Looker, AtScale, Tableau, or Business Objects. - DE with cloud-native data architectures and services/platforms, such as GCP (BigQuery, Dataflow) or Azure (Synapse, Fabric) or AWS (Redshift, Glue), with a focus on scalable, cost-effective solutions.
- DE with ETL tools such as Informatica, Talend, SQL, or Python, databases like Oracle, SQL Server or Vertica), analytical and visualization tools Looker, AtScale, Tableau, or Business Objects. - DE with cloud-native data architectures and services/platforms, such as GCP (BigQuery, Dataflow) or Azure (Synapse, Fabric) or AWS (Redshift, Glue), with a focus on scalable, cost-effective solutions. - DE in data governance, security, and compliance, including implementation of data quality frameworks, lineage tracking, and access controls across distributed data environments.
- DE in applying foundational machine learning concepts to data engineering workflows, enabling model deployment, and forecasting techniques to empower non-technical stakeholders to access insights and automate decision-making. - DE in observability, monitoring, and performance tuning for distributed data systems, and building observability frameworks using tools like Grafana, Datadog and custom metric instrumentation. - DE with architect and implement large scale complex projects and lead and mentor data engineers.
Must also possess the following (quantitative experience requirements not applicable to this section): - Demonstrated Expertise (“DE”) with distributed systems, streaming systems, and data engineering tools, such as Spark, Kubernetes, Terraform, Kafka, Pub Sub, Airflow, or Hadoop. - DE with ETL tools such as Informatica, Talend, SQL, or Python, databases like Oracle, SQL Server or Vertica), analytical and visualization tools Looker, AtScale, Tableau, or Business Objects.
Your next step
Complete your application on analogdevices.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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Already applied? Track this application
About Analog
- People
- About 24,500 in 2025, up 2% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as ADI.
- H-1B visas
- 83 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
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.
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
About Analog Devices
Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.
Employer: Analog Devices, Inc.
Job Title: Principal Engineer, Data Engineering
Job Requisition: 1010.852.3 / R265694
Job Location: Wilmington, Massachusetts
Job Type: Full Time
Rate of Pay: $216,643 - $250,920 per year
Duties:
- Develop strategies, design and own end-to-end data architecture to build scalable and resilient systems across diverse applications to enable modern AI and analytics solutions.
- Define and champion engineering best practices, frameworks and standards for data modeling, ingestion, storage and transformation for large-scale processing of data.
- Drive the frameworks to implement Data Quality, Observability and Data Governance across domains.
- Provide technical leadership to data teams and mentor data engineers by setting coding standards and best practices with thorough code reviews and design reviews.
- Collaborate with AI/ML and software engineers to train and tune AI models and enable fast experimentation and deployment with large datasets.
- Lead the execution of large scale, complex data and analytics efforts, as well as mentor complex projects using a wide breadth of data science and analytical techniques.
- Serve as a subject matter expert (SME) in key strategic data domains within the organization.
- Collaborate with business stakeholders to identify business problems and translate them into requirements and scalable technical designs.
- Lead strategic and innovative solutions by advising and influencing business leaders and senior stakeholders with data-driven insights.
- Communicate the value of data clearly by articulating both the high-level concept and detailed user stories for feature enhancements and convince teams to adopt data-driven improvements.
- Drive innovation by creating new frameworks, standards, prototypes, and automation projects in relevant areas.
- Influence the design decisions for projects across teams to capture analytical and AI/ML use cases.
Partial Telecommute Benefit (2 days/week work from home)
Requirements: Must have a Master’s degree in Information Technology, Computer Science, Electrical Engineering, Computer Engineering, or a related field (willing to accept a foreign education equivalent) and five (5) years of experience in the proffered role or related occupation defining, architecting, and rolling out data products, including ownership of data products through their entire lifecycle. Or in the alternative, a Bachelor’s degree in Information Technology, Computer Science, Electrical Engineering, Computer Engineering, or a related field (willing to accept a foreign education equivalent) and seven (7) years of experience in the proffered role or related occupation defining, architecting, and rolling out data products, including ownership of data products through their entire lifecycle.
Must also possess the following (quantitative experience requirements not applicable to this section):
- Demonstrated Expertise (“DE”) with distributed systems, streaming systems, and data engineering tools, such as Spark, Kubernetes, Terraform, Kafka, Pub Sub, Airflow, or Hadoop.
- DE with ETL tools such as Informatica, Talend, SQL, or Python, databases like Oracle, SQL Server or Vertica), analytical and visualization tools Looker, AtScale, Tableau, or Business Objects.
- DE with cloud-native data architectures and services/platforms, such as GCP (BigQuery, Dataflow) or Azure (Synapse, Fabric) or AWS (Redshift, Glue), with a focus on scalable, cost-effective solutions.
- DE in data governance, security, and compliance, including implementation of data quality frameworks, lineage tracking, and access controls across distributed data environments.
- DE in applying foundational machine learning concepts to data engineering workflows, enabling model deployment, and forecasting techniques to empower non-technical stakeholders to access insights and automate decision-making.
- DE in observability, monitoring, and performance tuning for distributed data systems, and building observability frameworks using tools like Grafana, Datadog and custom metric instrumentation.
- DE with architect and implement large scale complex projects and lead and mentor data engineers.
- DE collaborating successfully with cross-functional teams and prioritize stakeholder goals and requirements.
Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R265694.
For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
EEO is the Law: Notice of Applicant Rights Under the Law.
Job Req Type: ExperiencedRequired Travel: No
Shift Type: 1st Shift/Days
Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Job Type: Full Time Rate of Pay: $216,643 - $250,920 per year Duties:
- Location & working pattern
US, MA, Wilmington
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R265694. For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.