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Data Engineering

HARMAN60 open roles

Where
Novi - Michigan, USA - Cabot Drive
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Your applicationOpen nowData EngineeringHARMAN · Novi - Michigan, USA - Cabot Drive

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on HARMAN's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. HARMAN postings stay open a median of 7 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted today

HARMAN median: 7 days open

The posting

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.

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

About the Role

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.

What You Will Do

• 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 You Need to Be Successful

• 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.

What Makes You Eligible

• Ability to work within the hybrid established for the position.

• Ability to collaborate with global teams across North America, Europe, and India, including occasional flexibility in working hours.

• Willingness to travel occasionally when required.

What We Offer

• Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location.

• Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more).

• Extensive training opportunities through our own HARMAN University.

• Competitive wellness benefits.

• Tuition reimbursement.

• "Be Brilliant" employee recognition and rewards program.

• An inclusive and diverse work environment that fosters and encourages professional and personal development.

Salary Ranges:

$ 90,750 - $ 133,100

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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