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Databricks Engineer Jobs in Canton, MI (NOW HIRING)

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

$95K - $130K/yr

Required : • Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python) • Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version ...

Infosys Limited

Azure Databricks Engineer

Ann Arbor, MI · On-site

$90 - $120/hr

  • Medical

  • Retirement

Hands‑on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python) * Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version control (Git ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Required Skill and Experience Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python) Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault ...

Programmers.io

Senior Databricks Architect

Detroit, MI · On-site

$64 - $84.25/hr

Required Qualifications * 14+ years in Data Engineering/Architecture with at least 4+ years hands-on Databricks experience delivering end‑to‑end cloud data solutions. * Strong experience ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to design, build, and optimize scalable data pipelines and platforms that power analytics and decision ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to design, build, and optimize scalable data pipelines and platforms that power analytics and decision ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to design, build, and optimize scalable data pipelines and platforms that power analytics and decision ...

General Motors

Systems Engineer - Data and Insights

Warren, MI · On-site

$107K - $129K/yr

Design, build, and optimize Databricks (DBX) data pipelines and workflows to support scalable batch and near real-time data processing.. * Partner with data science and AI teams to productionize AI ...

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Showing results 1-20

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Canton, MI

Databricks Engineer information

See Canton, MI salary details

$55.1K

$103.5K

$188.1K

How much do databricks engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for databricks engineer in Canton, MI is $103,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,600.00 and $122,800.00 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 Canton, MI?

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

What job categories do people searching Databricks Engineer jobs in Canton, MI look for?

The top searched job categories for Databricks Engineer jobs in Canton, MI are:

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

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

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Canton, MI as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $103,455 per year, or $49.7 per hour.

Azure Databricks Engineer

Infosys

Ann Arbor, MI • On-site

$95K - $130K/yr

Full-time

Re-posted 4 days ago

Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

152nd of 224 rated it services

Job description

Job Summary:
Infosys is a global leader in next-generation digital services and consulting, and they are seeking a Technology Consultant 2 to contribute to the requirements elicitation process and facilitate software application design discussions. The role involves coding, conducting code reviews, implementing test strategies, and developing user training programs to ensure a smooth transition to new software applications.
Responsibilities:
• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Qualifications:
Required:
• Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python)
• Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version control (Git/GitLab)
• Experience designing, building, and optimizing scalable data pipelines using Azure Databricks
• Experience performing data ingestion, transformation, and processing for enterprise data platforms
• Experience collaborating with onsite stakeholders and cross-functional teams to gather requirements and deliver solutions
• Experience applying core data engineering principles (ETL/ELT, distributed processing, data governance)
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• Experience in real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools.
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.

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