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Data Enginner

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design, develop and implement data models, ETL processes and pipelines on Databricks

  • Build Python and Spark scripts and applications for data processing and transformation

  • Optimize data infrastructure for performance, scalability and reliability

From the employer’s posting
Design, develop, and implement data models, ETL processes, and data pipelines to ensure efficient and accurate data flow using Databricks.
Hands-on development of Python/ Spark-based scripts and applications to support data processing and transformation.
Optimize and enhance existing data infrastructure and systems for performance, scalability, and reliability.
Education & alternatives
Knowledge and Education - Degree in computer science or a similar field. A completed Bachelor's degree and an active professional license are strictly required for this position. - Plus - Databank Admin experience.
Apply at Magna International

Posting record

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Open 4 monthsWe first saw this posting 123 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 13, 2026123 days ago
Recorded sightings
153
Last seen by us
Nov 13, 2026
Employer says posted
Jul 3, 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 123

Up longer than most. Similar jobs usually come down between day 6 and day 56.

Well past Magna International’s usual: its jobs come down by about day 50.

From 13,630 similar postings that came down, and 21 of Magna International’s. Coming down is not always a hire.

Magna International is hiring

16 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

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
  • AWS
  • Azure
  • Databricks
  • Spark
  • PySpark
Where the posting names them
- Collaborating with cross-functional teams to gather requirements, analyze data, and design effective solutions. - Hands-on development of Python/ Spark-based scripts and applications to support data processing and transformation. - Utilizing tools such as Databricks Notebooks, Azure Data Factory, and Change Data Capture (CDC) for orchestrating and managing data workflows.
- Strong understanding of Data warehousing, engineering & ETL concepts. - Experience in Databricks development using Python, PySpark & DLT Pipelines. - Experience working with databases and various types of data storage.
- Goal orientation and holistic thinking and action. - Experience working with Azure / AWS. - Certifications in relevant data technologies will be an added advantage.
- Hands-on development of Python/ Spark-based scripts and applications to support data processing and transformation. - Utilizing tools such as Databricks Notebooks, Azure Data Factory, and Change Data Capture (CDC) for orchestrating and managing data workflows. - Optimize and enhance existing data infrastructure and systems for performance, scalability, and reliability.
Major Responsibilities - Design, develop, and implement data models, ETL processes, and data pipelines to ensure efficient and accurate data flow using Databricks. - Provide technical guidance, mentoring and support to business teams.

Your next step

Complete your application on wd3.myworkdaysite.com. The employer’s form will show what is required.

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Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 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

View original posting ↗

Job descriptions may display in multiple languages based on your language selection.

What we offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Powertrain, and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex powertrain systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain.

Job Responsibilities:

Job Introduction
Highly skilled and experienced Data Engineer for our data engineering & analytics team. The successful candidate will be responsible for designing, implementing, and managing our data infrastructure and analytical systems.
This role requires exceptional technical expertise in data modeling, ETL processes, and database management. You will provide guidance and mentorship to other data engineers, ensuring high-quality deliverables and driving the success.
Major Responsibilities
  • Design, develop, and implement data models, ETL processes, and data pipelines to ensure efficient and accurate data flow using Databricks.
  • Provide technical guidance, mentoring and support to business teams.
  • Implementing and enforcing architectural standards and frameworks to ensure a flexible and scalable data environment.
  • Collaborating with cross-functional teams to gather requirements, analyze data, and design effective solutions.
  • Hands-on development of Python/ Spark-based scripts and applications to support data processing and transformation.
  • Utilizing tools such as Databricks Notebooks, Azure Data Factory, and Change Data Capture (CDC) for orchestrating and managing data workflows.
  • Optimize and enhance existing data infrastructure and systems for performance, scalability, and reliability.
  • Playing a key role in DevOps activities, including deployment of jobs and required infrastructure setup.
  • Staying updated with the latest industry trends and technologies in data engineering and analytics.
Knowledge and Education
  • Degree in computer science or a similar field. A completed Bachelor's degree and an active professional license are strictly required for this position.
  • Plus - Databank Admin experience.
Work Experience
  • 3+ Years of experience in the field of Data Engineering & Analytics.
  • Strong understanding of Data warehousing, engineering & ETL concepts.
  • Experience in Databricks development using Python, PySpark & DLT Pipelines.
  • Experience working with databases and various types of data storage.
  • Excellent communication and interpersonal skills
  • Time and project management skills, with the ability to prioritize and multitask as needed.
  • Goal orientation and holistic thinking and action.
  • Experience working with Azure / AWS.
  • Certifications in relevant data technologies will be an added advantage.
Skills and Competencies
  • Troubleshooting and analytical skills.
  • Good communication and collaboration skills.
  • Client management

Languages:

  • English – Advanced Business Proficiency (mandatory)

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:

Regular / Permanent

Group:

Magna Powertrain
Source details

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Pay

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Location & working pattern

Ramos Arizpe, MX

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Work authorization
Awareness, Unity, Empowerment: At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law. AI-Assisted Screening Disclosure

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