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Data Engineering

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Description

Introduction: A Career at HARMAN Automotive

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.

  • Engineer audio systems and integrated technology platforms that augment the driving experience
  • Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
  • Advance in-vehicle infotainment, safety, efficiency, and enjoyment

What You’ll Be Part Of

As 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

Skills

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See also

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