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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 ...

Infosys Limited

Azure Databricks Engineer

Ann Arbor, MI · On-site

$90 - $120/hr

Facilitate software application design discussions, and document design decisions to guide the ... Hands‑on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL ...

New

FastTek

Software Engineer

Dearborn, MI

Software Engineer #1061561 * Employees in this job function are responsible for designing ... Azure Data Factory, Databricks; Google BigQuery, Dataflow). * Strong understanding of data ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to ... BA/BS in Computer Science, Software Engineering, or a related technical field, and/or equivalent ...

Whisker

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to ... BA/BS in Computer Science, Software Engineering, or a related technical field, and/or equivalent ...

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Databricks Software information

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.

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 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 August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Azure Databricks Engineer

Infosys

Ann Arbor, MI • On-site

$95K - $130K/yr

Full-time

Re-posted 27 days ago

Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

150th of 223 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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