Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
San Leandro, California, United States of America
Open 3 months, first seen by us 99 days ago- Pay
$89,100–148,700/yearAnnual period assumed. Location-specific pay — pay source
Salary Range: $89,100.00 - $148,700.00 This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training.
Read the full posting- Work setting
HybridLocation limits apply — work setting source
Data Engineer Location: San Leandro, California* Work Arrangement: Hybrid (2-3 days per week in office) Employment Type: Full-Time ** *Candidates must currently reside within a commutable distance from the San Leandro office (<50 miles) to be qualified. **This role is not authorized to provide sponsorship now or in the future. Position Summary
Read the full posting- Employment
Full-time — employment source
Data Engineer Location: San Leandro, California* Work Arrangement: Hybrid (2-3 days per week in office) Employment Type: Full-Time ** *Candidates must currently reside within a commutable distance from the San Leandro office (<50 miles) to be qualified. **This role is not authorized to provide sponsorship now or in the future. Position Summary
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
**This role is not authorized to provide sponsorship now or in the future
What you’ll work on
Full postingWe are seeking a skilled and motivated Data Engineer to join our Enterprise Data team.
This position partners closely with data analysts, business stakeholders, and technology teams to ensure data is reliable, accessible, and optimized for both operational and strategic decision-making.
Design and maintain scalable data pipelines using Azure Synapse Analytics
Build data integration and ETL/ELT processes from internal and external sources
Develop data models and data warehouse solutions for enterprise reporting
Monitor and optimize pipeline performance and resolve data quality issues
Document data flows, ETL processes, data models and operating procedures
From the employer’s posting
We are seeking a skilled and motivated Data Engineer to join our Enterprise Data team. In this role, you will design, build, and optimize scalable data solutions that support business intelligence, analytics, and reporting initiatives across the organization. The ideal candidate will have experience developing modern data pipelines, data integration solutions, and data warehousing capabilities, with a strong focus on Microsoft Azure and Azure Synapse Analytics.
This position partners closely with data analysts, business stakeholders, and technology teams to ensure data is reliable, accessible, and optimized for both operational and strategic decision-making.
Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics
Build and support data integration and ETL/ELT processes to ingest, transform, and consolidate data from multiple internal and external sources.
Develop and maintain data models and data warehousing solutions that support enterprise reporting and analytics needs.
Monitor, troubleshoot, and optimize data pipeline performance, ensuring efficient processing and scalability.
Create and maintain technical documentation, including data flows, ETL processes, data models, and operational procedures.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Engineering, Computer Science, Information Systems, Mathematics, Statistics, or another STEM-related field.
- Experience designing and developing data pipelines and ETL/ELT processes.
- Experience working with SQL and relational database technologies.
- Experience supporting data integration, transformation, and data quality initiatives.
- Knowledge of cloud-based data platforms and modern data architecture principles.
Preferred experience
- Experience with Microsoft Azure, including Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and related services.
- Experience building enterprise-scale data warehouse and analytics solutions.
- Proficiency in Python, Spark, or other data processing technologies.
- Experience working with structured, semi-structured, and unstructured data sources.
Qualification wording
Bachelor's degree in Engineering, Computer Science, Information Systems, Mathematics, Statistics, or another STEM-related field.
Experience designing and developing data pipelines and ETL/ELT processes.
Experience working with SQL and relational database technologies.
Experience supporting data integration, transformation, and data quality initiatives.
Knowledge of cloud-based data platforms and modern data architecture principles.
Experience with Microsoft Azure, including Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and related services.
Experience building enterprise-scale data warehouse and analytics solutions.
Proficiency in Python, Spark, or other data processing technologies.
Experience working with structured, semi-structured, and unstructured data sources.
Education & alternatives
Basic Qualifications - Bachelor's degree in Engineering, Computer Science, Information Systems, Mathematics, Statistics, or another STEM-related field. - Minimum 3 years of professional experience in Data Engineering, Data Warehousing, or a related field.
About Aveva Group
AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries.
In the employer’s words · Read in context
Posting record
Report an errorOpen 3 monthsWe first saw this posting 99 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 28, 202699 days ago
- Recorded sightings
- 190
- 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 99
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 10,824 similar postings that came down. Coming down is not always a hire.
Aveva Group is hiring
4 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
- SQL
- Azure
- Spark
Where the posting names them
- Experience building enterprise-scale data warehouse and analytics solutions. - Proficiency in Python, Spark, or other data processing technologies. - Experience working with structured, semi-structured, and unstructured data sources.
- Experience designing and developing data pipelines and ETL/ELT processes. - Experience working with SQL and relational database technologies. - Experience supporting data integration, transformation, and data quality initiatives.
Position Summary We are seeking a skilled and motivated Data Engineer to join our Enterprise Data team. In this role, you will design, build, and optimize scalable data solutions that support business intelligence, analytics, and reporting initiatives across the organization. The ideal candidate will have experience developing modern data pipelines, data integration solutions, and data warehousing capabilities, with a strong focus on Microsoft Azure and Azure Synapse Analytics. This position partners closely with data analysts, business stakeholders, and technology teams to ensure data is reliable, accessible, and optimized for both operational and strategic decision-making.
Key Responsibilities - Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics and related Azure services. - Build and support data integration and ETL/ELT processes to ingest, transform, and consolidate data from multiple internal and external sources.
Preferred Qualifications - Experience with Microsoft Azure, including Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and related services. - Experience building enterprise-scale data warehouse and analytics solutions.
Your next step
Complete your application on aveva.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has Aveva Group posted this job before?
Yes. We’ve followed one other Data Engineer job there since June 2026. It came down after 120 days.
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
AVEVA is creating software trusted by over 90% of leading industrial companies.
Salary Range:
$89,100.00 - $148,700.00This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training.
Data Engineer
Location: San Leandro, California*
Work Arrangement: Hybrid (2-3 days per week in office)
Employment Type: Full-Time **
*Candidates must currently reside within a commutable distance from the San Leandro office (<50 miles) to be qualified.
**This role is not authorized to provide sponsorship now or in the future.
Position Summary
We are seeking a skilled and motivated Data Engineer to join our Enterprise Data team. In this role, you will design, build, and optimize scalable data solutions that support business intelligence, analytics, and reporting initiatives across the organization. The ideal candidate will have experience developing modern data pipelines, data integration solutions, and data warehousing capabilities, with a strong focus on Microsoft Azure and Azure Synapse Analytics.
This position partners closely with data analysts, business stakeholders, and technology teams to ensure data is reliable, accessible, and optimized for both operational and strategic decision-making.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics and related Azure services.
- Build and support data integration and ETL/ELT processes to ingest, transform, and consolidate data from multiple internal and external sources.
- Develop and maintain data models and data warehousing solutions that support enterprise reporting and analytics needs.
- Implement data cleansing, transformation, validation, and enrichment processes to ensure high-quality data.
- Design and support solutions for both batch and real-time data processing requirements.
- Monitor, troubleshoot, and optimize data pipeline performance, ensuring efficient processing and scalability.
- Identify and resolve data quality, performance, and system reliability issues.
- Collaborate with business partners, analysts, and technology teams to understand data requirements and deliver effective data solutions.
- Ensure compliance with data governance, security, privacy, and regulatory requirements.
- Create and maintain technical documentation, including data flows, ETL processes, data models, and operational procedures.
- Support continuous improvement initiatives by identifying opportunities to automate and enhance data engineering processes.
Basic Qualifications
- Bachelor's degree in Engineering, Computer Science, Information Systems, Mathematics, Statistics, or another STEM-related field.
- Minimum 3 years of professional experience in Data Engineering, Data Warehousing, or a related field.
- Experience designing and developing data pipelines and ETL/ELT processes.
- Experience working with SQL and relational database technologies.
- Experience supporting data integration, transformation, and data quality initiatives.
- Knowledge of cloud-based data platforms and modern data architecture principles.
Preferred Qualifications
- Experience with Microsoft Azure, including Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and related services.
- Experience building enterprise-scale data warehouse and analytics solutions.
- Proficiency in Python, Spark, or other data processing technologies.
- Experience working with structured, semi-structured, and unstructured data sources.
- Familiarity with data governance, security, and privacy best practices.
- Strong analytical, problem-solving, and troubleshooting skills.
- Excellent communication skills with the ability to work effectively across technical and business teams.
IT at AVEVA
Our global team of 300+ IT professionals is responsible for the systems and platforms that keep AVEVA running. By empowering our colleagues and ensuring the smooth operation of the company, we help keep the business healthy and productivity high. We also provide key support for the transformation and modernisation efforts globally.
We pride ourselves on a collaborative, inclusive and authentic culture that provides a framework allowing for autonomy, whilst always being available for support and guidance. We respect the differences that each team member brings and seek to include those perspectives in our solutions for our business functions. The energy and sense of purpose is evident when talking to team members, you will feel part of something special from the first day you join.
Find out more: https://www.aveva.com/en/about/careers/
USA Benefits include:
Flex work hours, 20 days PTO rising to 25 with service, three paid volunteering days, primary and secondary parental leave, well-being support, medical, dental, vision, and 401K.
It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.
Find out more: aveva.com/en/about/careers/benefits/
Hybrid working
We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process.
Hiring process
Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.
Find out more: aveva.com/en/about/careers/hiring-process
About AVEVA
AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.
We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/
Find out more: aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary Range: $89,100.00 - $148,700.00 This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training.
- Location & working pattern
San Leandro, California, United States of America
Data Engineer Location: San Leandro, California* Work Arrangement: Hybrid (2-3 days per week in office) Employment Type: Full-Time ** *Candidates must currently reside within a commutable distance from the San Leandro office (<50 miles) to be qualified. **This role is not authorized to provide sponsorship now or in the future. Position Summary
More source context
Find out more: aveva.com/en/about/careers/benefits/ Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. Hiring process
- Work authorization
Data Engineer Location: San Leandro, California* Work Arrangement: Hybrid (2-3 days per week in office) Employment Type: Full-Time ** *Candidates must currently reside within a commutable distance from the San Leandro office (<50 miles) to be qualified. **This role is not authorized to provide sponsorship now or in the future. Position Summary
More source context
Find out more: aveva.com/en/about/careers/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.