General informationLocation: Novi - Michigan, USA - Cabot Drive
Job Family: Artificial Intelligence & Machine Learning
Worker Type Reference: Regular - Permanent
Pay Rate Type: Salary
Career Level: T3
Job ID: R-56775-2026
Description & RequirementsWhat You'll Be Part OfAs a Data Engineer, you will be an individual contributor responsible for designing, building, and operating trusted data products on HARMAN Automotive's enterprise data and AI platform. You will work with business domains, data product teams, Platform Engineering, Analytics, and MDM/Data Quality to turn business data into reliable, reusable, and governed data products. This role requires strong hands-on data engineering skills and the ability to independently deliver production solutions using Azure Databricks and modern engineering practices.
How You'll Make An Impact- Design, build, test, deploy, and maintain batch and streaming data pipelines and transformations using Azure Databricks.
- Develop governed data products using Delta Lake, SQL, Python, PySpark, and enterprise data engineering standards.
- Work with business and technical teams to understand source data, transformation logic, data contracts, and consumption requirements.
- Implement data quality checks, reconciliation, monitoring, metadata, lineage, and access requirements as part of production data products.
- Apply CI/CD, source control, automated testing, and deployment practices to data engineering workloads.
- Develop reusable components and follow platform golden paths and engineering standards.
- Troubleshoot data pipeline, performance, quality, and integration issues through production resolution.
- Partner with Platform Engineering on environments, platform services, deployment patterns, and technical issues.
- Work with Analytics teams to provide trusted data products for Power BI and other approved consumption patterns.
- Support onboarding and knowledge sharing with domain data teams and contribute improvements back to common engineering patterns.
What Makes You A Strong Fit- 5+ years of experience in data engineering, software engineering, data platforms, or related technical roles.
- Strong experience developing production data pipelines using Python, SQL, Spark/PySpark, or similar technologies.
- Experience with Azure Databricks or a comparable modern lakehouse platform.
- Understanding of data modeling, lakehouse architecture, Delta Lake, batch and streaming processing, and data integration patterns.
- Experience with Git-based development, CI/CD, automated testing, and production deployment practices.
- Working knowledge of data governance, access control, metadata, lineage, and data quality concepts.
- Ability to independently solve moderately complex technical problems and deliver assigned components of larger data products.
- Strong communication skills and the ability to work effectively with engineers, architects, analysts, and business stakeholders.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
Bonus Points if You Have- Databricks certification or significant production Databricks experience.
- Experience with Unity Catalog, Databricks Workflows, Delta Live Tables / Lakeflow, or Databricks Asset Bundles.
- Experience with Azure Data Factory, Kafka, dbt, APIs, CDC, or event-driven data architectures.
- Experience building data products in a federated or domain-oriented data environment.
- Familiarity with Power BI consumption patterns and semantic models.
- Experience working with SAP, manufacturing, supply chain, finance, HR, or other enterprise source systems.
- Experience collaborating across global teams.
Things To Know- This role is based in Novi, Michigan and follows a hybrid schedule, with regular in-office collaboration alongside engineering, product, and customer program teams.
- This position will collaborate with global teams, so occasional early morning or evening meetings may be needed to collaborate with teams across North America, Europe, and India.
- This role may require occasional domestic and international travel.
- Successfully complete a background investigation and drug screen as a condition of employment (post-offer).
What You Can Expect- A hybrid work environment that balances flexibility with in-person collaboration, with most office-based roles onsite three days a week.
- Access to employee discounts on HARMAN and Samsung products (including JBL, Harman / Kardon, AKG, and others)
- Learning and development opportunities through our award-winning HARMAN University programs
- Wellness benefits designed to support your overall well-being
- Tuition reimbursement support
- Access to the HARMAN campus fitness center and cafeteria, where available
- An inclusive and diverse work environment that supports both your professional and personal development
Pay Transparency
$ 90,750 - $ 133,100
Dependent on the position offered, other forms of compensation are also available, such as bonuses or commission.
Pay is based on a wide range of factors, including, without limitation, skill set, experience, training, location, and business need. While the above range is a reasonable estimate of the wage range for this position, please note the disclosed range estimate has not been adjusted for the applicable geographical differential associated with the location where the position may be filled.
BenefitsHARMAN is interested in the health and wellbeing of you and your family and offers a range of benefits designed to support your needs for holistic wellbeing. Benefits and perks may vary depending on the nature of your employment with HARMAN, and may include paid vacation and holidays, paid sick leave, volunteer leave, and paid bonding and care giver leave. Employees may also be eligible to participate in comprehensive medical, dental, and vision plans, fertility support and adoption assistance, Health Savings and Flexible Spending Accounts, retirement savings plan with employer match, short and long term disability coverage, life insurance, and more.
