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Databricks Data Engineer Jobs in Detroit, MI (NOW HIRING)

HTC Global Services

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Associate Data Engineer - Voice of the Customer Analytics Position Overview The Associate Data ... Databricks, or similar. * Experience or academic exposure to ETL/ELT pipelines, data warehousing ...

Mobilisights Connect

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer will design and build a scalable data platform, implement low latency streaming ... using Databricks Intelligent Platform is a plus. • First product development experience with ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers ... Snowflake, Databricks AWS, Azure, GCP). * Strong communication and stakeholder engagement skills.

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ... engineering pipelines, feature stores, or model input data preparation Salary Range: $170,000 to ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · Remote

$170K - $210K/yr

Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ... engineering pipelines, feature stores, or model input data preparation Salary Range: $170,000 to ...

Utilidata

Principal Data Engineer

Ann Arbor, MI

$170K - $210K/yr

Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ... engineering pipelines, feature stores, or model input data preparation Salary Range: $170,000 to ...

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer plays a critical role in enabling this vision by designing, building, and ... Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent

Pwc

GenAI Python Systems Engineer-Manager

Detroit, MI · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

TMS

Databricks Architect

Troy, MI · Remote

$66.25 - $87/hr

Lead solution design discussions and mentor data engineering teams Must-Have Skills * 10+ years in data engineering / data architecture * 5+ years of strong hands-on experience with Databricks

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related ... Databricks Intelligent Platform is a plus. * First experience in developing optimizing AWS data ...

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Snowflake, Databricks AWS, Azure, GCP). • Strong communication and stakeholder engagement skills ... Data Science, Statistics, Engineering, Computer Science, or related field. Company : Our storied ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

Hearst

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Detroit, MI

Databricks Data Engineer information

See Detroit, MI salary details

$40.7K

$118.7K

$162.4K

How much do databricks data engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for databricks data engineer in Detroit, MI is $118,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $125,800.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Detroit, MI? The most popular types of Databricks Data Engineer jobs in Detroit, MI are:
What are popular job titles related to Databricks Data Engineer jobs in Detroit, MI? For Databricks Data Engineer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Detroit, MI look for? The top searched job categories for Databricks Data Engineer jobs in Detroit, MI are:
Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Detroit, MI as of July 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $118,689 per year, or $57.1 per hour.
Data Engineer

Data Engineer

HTC Global Services

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Associate Data Engineer - Voice of the Customer Analytics
Position Overview
The Associate Data Engineer will support data engineering, analytics, and reporting initiatives for Voice of the Customer and related business programs. This role is designed for an early-career data professional with strong hands-on experience building data pipelines, supporting data quality, working with cloud-based data platforms, and partnering with analytics and business teams to deliver reliable data for reporting, dashboards, and business insights.
The ideal candidate will bring internship or early professional experience in data engineering, business analytics, cloud data platforms, and modern ELT/ETL practices. This role will work closely with business stakeholders, analytics teams, and technical teams to help collect, transform, validate, document, and deliver data that supports customer experience, operational reporting, and decision-making.
Key Responsibilities
  • Support development and maintenance of data pipelines used for customer insights, reporting, analytics, and business intelligence.
  • Assist with data ingestion, transformation, validation, and refresh processes across cloud and data warehouse platforms.
  • Build and maintain SQL-based data models, data transformations, and reporting-ready datasets.
  • Support data quality checks, testing, reconciliation, and issue resolution to improve trust in downstream reporting.
  • Partner with analytics, operations, and business stakeholders to understand data needs and translate them into technical requirements.
  • Help document data flows, data lineage, data contracts, transformation logic, and reporting dependencies.
  • Support dashboards, reporting datasets, and analytics outputs used by business and leadership teams.
  • Assist with automation of manual data refresh, validation, and reporting processes.
  • Use version control and development best practices to support repeatable and reliable data delivery.
  • Collaborate with cross-functional teams to troubleshoot data issues, improve pipeline reliability, and support timely delivery of analytics solutions.
  • Continue building technical depth across cloud platforms, data engineering tools, business analytics, and customer data use cases.

Required Qualifications
  • Bachelor's degree in engineering, analytics, computer science, information systems, data science, business analytics, or a related field.
  • Internship, academic project, or professional experience in data engineering, analytics engineering, business analytics, or data pipeline development.
  • Strong SQL skills with experience querying, transforming, validating, and analyzing data.
  • Experience with Python or PySpark for data processing, automation, testing, or analytics.
  • Exposure to cloud data platforms or cloud services such as AWS, GCP, Snowflake, BigQuery, Databricks, or similar.
  • Experience or academic exposure to ETL/ELT pipelines, data warehousing, data modeling, or reporting datasets.
  • Understanding of data quality, testing, documentation, and data validation practices.
  • Ability to work with business and technical teams to gather requirements and support reporting or analytics needs.
  • Strong analytical, problem-solving, communication, and documentation skills.
  • Ability to learn quickly, take ownership, and work in a collaborative team environment.

Preferred Qualifications
  • Experience with Snowflake, dbt, AWS Glue, S3, Airflow, Terraform, Git, or similar modern data engineering tools.
  • Exposure to customer analytics, Voice of the Customer, survey data, customer feedback, product quality, or business operations data.
  • Experience supporting dashboards or reporting solutions using Tableau, Power BI, Superset, or similar BI tools.
  • Experience with data contracts, data lineage, data quality checks, or automated validation.
  • Exposure to CI/CD or version-controlled data pipeline development.
  • Cloud certification such as AWS Solutions Architect Associate, Google Associate Cloud Engineer, or similar.
  • Experience with machine learning pipelines, predictive analytics, NLP, or customer sentiment/defect analysis is a plus.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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