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Databricks Software Jobs in Detroit, MI (NOW HIRING)

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/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 ...

Experience with Databricks is a plus. * Strong software development and coding best practices. * Excellent communication and presentation skills. * Minimum 2+ years of relevant Data Science ...

Data Engineer

Auburn Hills, MI · On-site

$113K - $135K/yr

Work with Databricks or similar data platforms for data processing and analytics * Implement DevSecOps practices, including SAST and secrets management (HashiCorp Vault) * Implement monitoring and ...

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/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 ...

This role develops automation tools, software applications, and intelligent workflows that increase ... Familiarity with cloud platforms, containers, data platforms such as Databricks or similar, and CI ...

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

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

Project Managers coordinate with third-party vendors, consultants, and IT software partners. The ... Experience with one or two data and cloud platforms (e.g., Palantir Foundry, Snowflake, Databricks ...

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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 Jul 14, 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 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 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:

Vice President, Platform Engineering

Publicis Groupe Holdings B.V

Birmingham, MI • On-site

$171K - $221K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

Company Description

At Publicis Collective, we know tomorrow's challenges won't be solved by today's solutions. It's why we support our teams with the resources and tools they need to continue redefining the future of marketing. It's also why clients rely on us to lead the way in connecting media, data, technology, and teams by what matters most - business outcomes.  Publicis Collective's consultative practitioners are catalysts for business growth and innovation, we're more than media experts. We are an incubator for high-performing talent and a launchpad for ideas that push the boundaries of what's possible.  As part of the global Publicis Media network, we're backed by the power, scale, and benefits of Publicis Groupe, one of the largest and most celebrated marketing and communications platforms on the planet.    How are we different? There are three core values at the center of our approach that help us stay ahead - curious, open, and driven.    Curious - A deep curiosity compels us to go beyond the brief to deliver exceptional outcomes.    Open - We value diverse perspectives and new ways of working.   Driven - We are ambitious, rigorous, self-disciplined, and resilient in our pursuit of excellence.   If you're a collaborative and enterprising practitioner with a passion for media and a desire to make a real impact, we want to hear from you.  Let's shape the future together. 

Overview

We are seeking a Vice President of Data Engineering to lead the strategy, design, and delivery of our enterprise data platforms. This role blends technical depth with executive leadership, balancing architecture, team development, and client engagement. The VP will translate complex business needs into scalable solutions, mentor high-performing teams, and provide strategic guidance to clients on data integration and best practices. This is a key leadership role shaping the future of our data ecosystem while ensuring measurable business value.

Responsibilities

Role Objectives:

Strategy & Leadership

  • Define and execute the data engineering strategy to align with enterprise goals and accelerate business insights.
  • Lead, mentor, and grow a high-performing engineering team, fostering innovation, accountability, and technical excellence.
  • Represent data engineering in executive discussions, external partnerships, and client consultations.

Architecture & Engineering

  • Provide architectural oversight across databases, pipelines, APIs, and cloud infrastructure.
  • Oversee advanced database administration and schema design, ensuring high performance, scalability, and security.
  • Champion modern DevOps and automation practices (CI/CD, GitOps) in data engineering workflows.
  • Serve as final escalation point for critical data engineering issues, driving root cause analysis and long-term remediation.

Client & Partner Engagement

  • Act as a trusted consultant to clients, advising on data ingestion strategies, delivery mechanisms, and best practices for data structures.
  • Translate complex engineering concepts into actionable guidance for both technical and non-technical stakeholders.
  • Partner with product, analytics, and business leaders to anticipate data needs and deliver scalable, secure solutions.

Innovation & Optimization

    • Lead optimization efforts for high-volume ETL and data processing workflows using Databricks, Python, AWS Glue, and other platforms.
    • Drive adoption of Databricks for advanced data engineering, including Data Lake, MLflow integration, and scalable Spark workloads.
    • Evaluate and adopt emerging technologies to keep the team at the forefront of data engineering practices.
    • Establish and enforce best practices for governance, quality, lineage, and observability, building systems that ensure trusted data.
Qualifications

Desired qualifications and skillsets:

  • 10+ years of experience in data engineering, with leadership of large-scale platforms and teams.
  • Proven success building and optimizing ETL/ELT solutions with Databricks, AWS Redshift, Glue, S3, and Lambda.
  • Expert-level Databricks and Python skills, with a strong background in software engineering best practices.
  • Advanced expertise in PostgreSQL (stored procedures, functions, and performance tuning).
  • Deep knowledge of APIs, microservices, and event-driven architectures.
  • Strong understanding of cloud-native architectures, distributed systems, and modern data modeling.
  • Track record of supporting analytics, BI, and data science teams with high-quality, scalable solutions.
  • Proven ability to engage with executive-level client stakeholders and influence technical direction.
  • Excellent communication and executive presence; able to translate technical concepts into business impact.
  • Bachelor's degree in Computer Science, Information Technology, or related field; advanced degree preferred.

The following experience is a plus:

    • Experience with BI tools (Tableau, Power BI) and data science ecosystems (Pandas, R, Alteryx).
    • Exposure to front-end development and how it connects with backend data models.
    • Leadership roles where strategy, technical depth, client engagement, and mentorship intersected.
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. 

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive.  Our benefits package includes medical coverage, dental, vision, disability, 401K,  as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines. 

Compensation Range:  $172,000 - $198,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/23/2025.

#LI-KS3

 Compensation Range: USD $163,210.00 - USD $223,400.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. This role may also be eligible for bonus or incentive compensation. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/20/2025.Employment Type: OTHER