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Databricks Software Jobs in Michigan (NOW HIRING)

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

$95K - $130K/yr

... software application design discussions. The role involves coding, conducting code reviews ... Required : • Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

... software quality standards • Develop user training programs, documentation, and support ... Required Skill and Experience Hands-on experience with Databricks ecosystem (Delta Lake, Unity ...

Deloitte

Sr Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Stellantis

Software Engineer

Auburn Hills, MI · On-site

They are seeking a Software Engineer to lead the design and development of scalable cloud-native ... with Databricks notebook workflows • Experience with Terraform Company : Our storied and iconic ...

SRI Tech Solutions

Azure Data Engineer

Grand Rapids, MI · On-site

$106K - $127K/yr

... ADF), Databricks, and Synapse Analytics . * Perform data transformation using SQL, Python, or Scala . * Work with Azure Cosmos DB and Azure data storage services. * Support software development ...

New

HTC Global Services

Data Engineer

Grand Rapids, MI · On-site

$106K - $127K/yr

Participate in the testing process through test review, analysis, witnessing, and certification of software. * Work with Azure Data Factory (ADF), Databricks, and Synapse Analytics for data ...

HTC Global Services Inc

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Participate in the testing process through test review, analysis, witnessing, and certification of software. Work with Azure Data Factory (ADF), Databricks, and Synapse Analytics for data engineering ...

HTC Global Services

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Participate in the testing process through test review, analysis, witnessing, and certification of software. * Work with Azure Data Factory (ADF), Databricks, and Synapse Analytics for data ...

General Motors

Software Engineer

Warren, MI · On-site

$93K - $142K/yr

The Role As a Software Engineer, you will develop code for high performance back-end services for ... Databricks, Hadoop, Hbase, Hive, Scala, SPARK, Sqoop, Flume, Kafka, Python * Experience with Oracle ...

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Databricks Software information

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What are the key skills and qualifications needed to thrive as a Databricks Software Engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks Jobs?

Databricks Jobs are automated tasks or workflows that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Michigan? For Databricks Software jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Michigan look for? The top searched job categories for Databricks Software jobs in Michigan are:
What cities in Michigan are hiring for Databricks Software jobs? Cities in Michigan with the most Databricks Software job openings:
Databricks Software jobs near you
Infographic showing various Databricks Software job openings in Michigan as of July 2026, with employment types broken down into 2% Locum Tenens, 14% As Needed, 68% Full Time, 4% Part Time, 3% Contract, and 9% Nights. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.
Azure Databricks Engineer

Azure Databricks Engineer

Infosys

Ann Arbor, MI • On-site

$95K - $130K/yr

Full-time

Re-posted 6 days ago

Infosys rating

7.4

Company rating: 7.4 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

107th of 210 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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