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Databricks Software Jobs in Detroit, MI (NOW HIRING)

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

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 ...

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

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 ...

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 ...

Cloud Software Engineer

Auburn Hills, MI · On-site

$56.75 - $73.75/hr

A minimum of 5 years of software development experience in production environments. * Strong hands ... Experience with Databricks or large-scale data processing. * Familiarity with automotive systems or ...

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Databricks Software information

See Detroit, MI salary details

$47.5K

$110.7K

$164.3K

How much do databricks software jobs pay per year?

As of Aug 8, 2026, the average yearly pay for databricks software in Detroit, MI is $110,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $128,700.00 per year, depending on experience, location, and employer.

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 Detroit, MI? For Databricks Software jobs in Detroit, MI, the most frequently searched job titles are:

Azure Databricks Engineer

Infosys Limited Digital

Ann Arbor, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Job description

Job details
Job Role
Technology Consultant 2
Career Role
Technology Lead - US
Work Location
Ann Arbor, MI
State / Region / Province
Michigan
Country
USA
Domain
Delivery
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
149279BR
Technical Skills 1
Technology|Data Engineering|Databricks
Technical Skills 2
Technology|AI Engineering|Databricks AI Engineering Services
Overview
The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.
In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below:
• 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
Your contribution to the team:
• A collaborative spirit and excellent communication skills.
• The ability to handle end to end SDLC phases from requirement gathering to implementation.
• A knack for translating complex requirements into actionable development tasks.
• A passion for design and hands-on coding experience
• A proactive approach to testing, troubleshooting, and refining our applications.
• The ability to work with cross-functional teams and do software integration.
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) 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)
Preferred Skill and Experience
Experience in real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools.
Additional Required Qualifications
• 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.
Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.