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Databricks Software Jobs in Detroit, MI (NOW HIRING)

AI Data Engineer

Southfield, MI · On-site

$105K - $126.10K/yr

The Qualifications. * 2-4 years in data engineering, analytics engineering, or software development ... Experience with Databricks (Azure Databricks preferred). * Working knowledge of Git and CI/CD ...

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

This role will lead cross-functional initiatives spanning cloud data platforms (Snowflake/AWS/Azure) , Databricks , Palantir Foundry , and the Microsoft Power Platform (Power Apps, Power Automate ...

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

... such as Databricks, Spark, Snowflake, or equivalent • Solid understanding of data quality ... software engineering teams Preferred : • Master's Degree • Experience supporting machine ...

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent ... Ability to collaborate effectively with analytics, AI, and software engineering teams Preferred ...

Lead Developer (Python)

Auburn Hills, MI · On-site

$132.50K - $162.80K/yr

... software engineers, and product managers to translate business requirements into technical ... Databricks, Snowflake). • Contributions to open-source AI projects or publications. • ...

Lead Developer (Python)

Auburn Hills, MI · On-site

$132.50K - $162.80K/yr

... software engineers, and product managers to translate business requirements into technical ... Databricks, Snowflake). • Contributions to open-source AI projects or publications. • ...

Lead Developer (Python)

Auburn Hills, MI · On-site

$132.50K - $162.80K/yr

Collaborate with data scientists, software engineers, and product managers to translate business ... Knowledge of data engineering tools (Spark, Kafka, Databricks, Snowflake). * Contributions to open ...

Solution Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

Responsibilities : • Leading the technical design for data solutions for both internal software ... Preferred : • Certification in AWS or other cloud providers • Experience with Databricks ...

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

Snowflake, AWS, or Azure, Databricks, Palantir Foundry, SQL, Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse) Preferred : • Automotive industry experience, particularly in ...

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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 May 29, 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 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 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 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 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:
What job categories do people searching Databricks Software jobs in Detroit, MI look for? The top searched job categories for Databricks Software jobs in Detroit, MI are:
Senior Backend Software Engineer- GM Energy

Senior Backend Software Engineer- GM Energy

General Motors

Warren, MI • On-site

Full-time

Posted 28 days ago


General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers


Job description

Job Description
The Role:
The GM Energy Cloud Platform (GMEC) and its data ecosystem support home energy management, bidirectional charging (V2H/V2G), and utility programs across thousands of homes and vehicles. Our services power customer experiences, utility integrations, and measurement & verification (M&V) for GM Energy's products.
We are investing in senior engineering talent to strengthen our backend application services, integrations, and reliability, while continuing to mature our data foundations, in line with GM's corporate goals around software reliability, uptime, and operational excellence.
We are looking for a Senior Software Engineer (Level 7A) to lead backend and platform services for the GM Energy Cloud platform.
You will:
Design and build scalable, reliable backend services and APIs that power home energy, EV/EVSE telemetry, and utility/aggregator experiences.
Own critical production services and integrations, ensuring they are secure, observable, and easy to operate.
Help the team meet GM's system reliability objectives - including uptime, incident reduction, and robust monitoring.
This is a senior individual contributor (IC) role. You will be expected to operate with minimal direction, lead complex technical work across teams, and mentor other engineers while remaining hands-on.
What You'll Do:
  • Backend & Platform Engineering (Primary Focus)
  • Lead end-to-end design and implementation of complex backend features and cross-service flows with minimal guidance.
  • Design, build, and operate backend services and RESTful APIs (for example in Python, Java, or similar) that:
    • Surface energy and telemetry data to mobile/web apps and partner systems.
    • Partner with data engineering and analytics teams to ensure services integrate cleanly with data platforms (e.g., Snowflake, Databricks, or similar) and expose data in a way that supports reporting, and analytics.
    • Contribute to or advise on key data models and pipelines related to Energy Cloud services (telemetry, enrollments, program performance), including data quality, freshness, and observability where it directly impacts service correctness and customer outcomes.
    • Implement and evolve service contracts and data exchange patterns:
    • Define clear, versioned APIs and schemas for downstream consumers and upstream producers.
    • Ensure compatibility, backward-compatibility, and robust error handling across integrations.
    • Automated unit, integration, and contract tests for services.
    • Secure build and deployment pipelines with safe rollout strategies (blue/green, canary).
  • Align your work to GM's software reliability and operational excellence goals:
    • Participate in on-call for Energy Cloud services:
    • Lead or support triage, mitigation, and root-cause analysis for incidents.
    • Drive permanent improvements, automation, and follow-up tasks from post-incident reviews.
    • Ensure that new services and significant changes meet GM's production readiness expectations:
    • Comprehensive testing, health checks, runbooks, rollback strategies, and observability in place before launch.
    • Leadership & Collaboration (Level 7A Expectations)
    • Mentor other engineers
    • Operational readiness, monitoring, and incident response best practices.
    • Influence technical direction across teams by:
    • Establishing and promoting best practices for APIs, integration patterns, security, and observability.
    • Collaborating with product, SRE, data, and platform teams to sequence work that delivers value while improving reliability and operability.

Your Skills & Abilities (Required Qualifications):
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
  • 6+ years of relevant experience in backend software engineering, including:
  • Designing, building, and operating production services and APIs on a major cloud provider (Azure, GCP, or AWS), with a strong preference for Azure.
  • Strong hands-on skills in:
    • At least one general-purpose programming language (e.g., Python, Java, or similar) used for backend services.
    • RESTful API design and implementation, including authentication/authorization, versioning, and error handling.
  • Proven experience with:
    • Distributed systems or microservices architectures in production.
    • CI/CD practices and automated testing (unit, integration, contract) for application code.
    • Monitoring, logging, and alerting using modern observability tools (e.g., Datadog, Prometheus/Grafana, or equivalent).
    • Demonstrated track record owning or co-owning production operations:
    • On-call participation, incident diagnosis, and permanent fixes.
  • Working with SRE/platform teams to improve reliability, scalability, and cost efficiency.

What Will Give You A Competitive Edge (Preferred Qualifications):
  • Experience in energy, utilities, EV charging, home energy systems, or large-scale IoT.
  • Additional experience with data and eventing, such as:
  • Event-driven architectures (e.g., Kafka, Event Hubs) and streaming data pipelines.
  • Working with modern data platforms (Snowflake, Databricks, or equivalent) and writing performant SQL for operational use cases.
  • Experience with:
    • Security and compliance for services and data (access controls, secrets management, PII handling).
    • SRE and reliability practices: SLOs/SLIs, error budgets, production readiness reviews, and post-incident analysis.
    • Demonstrated ability to:
    • Mentor other engineers and elevate engineering standards across teams.
    • Influence architecture and technical direction across a platform or domain.

#LI-SB3
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908