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Databricks Engineer Jobs in Taylor, MI (NOW HIRING)

Little Caesars

Applied AI Engineer

Detroit, MI

$113K - $136K/yr

Job Summary:The Applied AI Engineer turns ideas into production-ready AI solutions spanning ... The ideal candidate can work across the stack, with experience in platforms such as Databricks and ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · Remote

$170K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for a Principal Data Engineer to own the technical direction and execution of our ... Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ...

Expeditors

Data Engineer III/Senior (Analytics)

Romulus, MI

$102K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate has strong expertise in data modeling, analytics engineering, Microsoft Fabric, Databricks, Python development, and modern business intelligence solutions. The successful ...

Expeditors

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate has strong expertise in data modeling, analytics engineering, Microsoft Fabric, Databricks, Python development, and modern business intelligence solutions. The successful ...

General Motors

Senior Software Engineer - Platform

Warren, MI · On-site

$114K - $151K/yr

Experience with Databricks Asset Bundles, GitHub Actions, or similar modern delivery tooling ... enabled engineering tools * Familiarity with MCP-style integrations and AI tools that connect to ...

General Motors

Senior Software Engineer - Platform

Warren, MI · On-site

$115K - $151K/yr

Experience with Databricks Asset Bundles, GitHub Actions, or similar modern delivery tooling ... enabled engineering tools * Familiarity with MCP-style integrations and AI tools that connect to ...

Barton Malow

Sr. AI Engineer

Southfield, MI

$95K - $131K/yr

Our APEX team owns the AI and engineering platform that the rest of the company builds on, and we ... Experience with Databricks or a similar lakehouse platform * Experience building tool-integration ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Taylor, MI

Databricks Engineer information

See Taylor, MI salary details

$55.2K

$103.6K

$188.4K

How much do databricks engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for databricks engineer in Taylor, MI is $103,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $123,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.

What are popular job titles related to Databricks Engineer jobs in Taylor, MI?

For Databricks Engineer jobs in Taylor, MI, the most frequently searched job titles are:

What cities near Taylor, MI are hiring for Databricks Engineer jobs?

Cities near Taylor, MI with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Taylor, MI as of June 2026, with employment types broken down into 69% Full Time, 19% Part Time, and 12% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $103,631 per year, or $49.8 per hour.

Software Engineer II - Fleet Enablement & Insights

Torc Robotics

Ann Arbor, MI • On-site

$95K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
The Software Engineer II will be a core member of the Fleet Enablement & Insights team, responsible for designing and implementing the tooling and data systems that enable Torc's fleet operations team to optimize autonomy data collection operations. This role contributes directly to the infrastructure that optimizes what the fleet collects, measures machine learning needs against data collection priorities, and validates that the resulting data is safe and usable for the autonomous truck platform. The ideal candidate is a collaborative engineer who thrives in a fast-paced environment and is passionate about solving complex data engineering, metrics, and geospatial simulation challenges at scale. This position offers the opportunity to work at the intersection of software engineering, autonomous systems, and fleet data operations with a direct line of sight to the data that trains and validates the AV stack.
What You'll Do
  • Design, develop, and maintain Python-based tools and services that support fleet data-collection planning, metrics, and the data-readiness pipeline for the autonomous trucking platform.
  • Build and optimize internal tooling to automate route prioritization, data-collection run setup, asset tracking, and data ingestion, validation, and release workflows.
  • Develop fleet and data-collection metrics and surface them in live dashboards that let the team catch quality issues during a mission rather than after offload.
  • Contribute to map tooling that leverage simulation and topology evaluation to validate mapping updates before release.
  • Manage and maintain relational and spatial databases, ensuring data integrity, performance, and scalability across fleet, collection, and mapping datasets.
  • Leverage AWS cloud services (e.g., S3, Lambda, ECS, RDS) and Databricks to build and deploy scalable, reliable data pipelines and analytics infrastructure.
  • Collaborate closely with cross-functional teams including Fleet Operations, Mapping, Perception, Localization, and Data Annotation to align data-collection capabilities with downstream consumer requirements.
  • Participate in agile ceremonies, sprint planning, and regular cross-team syncs to ensure clear communication and alignment on project goals and timelines.
  • Contribute to a culture of engineering excellence through code reviews, documentation, and knowledge sharing across the organization.
  • Identify and address technical debt, performance bottlenecks, and reliability gaps across the fleet data-collection and readiness stack.

What You'll Need to Succeed
  • Proficiency in Python with experience building production-quality tools, scripts, and services.
  • Strong proficiency with SQL for querying, transforming, and analyzing relational and analytical data.
  • Working knowledge of C++ and TypeScript, or the ability to ramp into them, for interfacing with on-vehicle/sensor code and building dashboard and internal-tooling UIs.
  • Strong database expertise, including hands-on experience with PostgreSQL and SQLite.
  • Experience with Databricks for large-scale data processing, transformation, and pipeline management.
  • Experience building metrics, analytics, or reporting pipelines that turn raw operational data into decision-ready signals.
  • Proficiency with Git and GitHub for version control, branching strategies, and collaborative code workflows.
  • Familiarity with JIRA or similar project management tools for tracking tasks, bugs, and sprint deliverables.
  • Solid understanding of software engineering fundamentals including data structures, algorithms, and system design.
  • Strong written and verbal communication skills with the ability to effectively collaborate across technical and non-technical stakeholders.
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field or equivalent experience.

Bonus Points
  • Experience with simulation systems and their application to validating spatial, mapping, or sensor data.
  • Experience with data visualization or dashboarding tools (e.g., Databricks dashboards, Plotly, Grafana) for operational metrics.
  • Familiarity with PostGIS for advanced spatial queries, geometry operations, and geospatial data management.
  • Prior experience working with High-Definition (HD) maps, map formats (e.g. OpenDRIVE, NDS, Lanelet2), or map production pipelines.
  • Experience with routing or optimization algorithms (e.g. weighted route planning, coverage optimization).
  • Background in autonomous vehicles or machine learning, with an understanding of how fleet data collection feeds the machine learning stack.
  • Contributions to open-source geospatial, data engineering, or mapping projects.

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102784
Hiring Range for Job Opening
US Pay Range
$139,000-$166,800 USD

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