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Databricks Software Jobs in Michigan (NOW HIRING)

Strategic Employment

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A background in stakeholder/client-facing roles, and the ability to solve problems is more important. This is ...

Strategic Employment

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A background in stakeholder/client-facing roles, and the ability to solve problems is more important. This is ...

Freudenberg

Data Engineer

Plymouth, MI

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake. * Ingest and unify data from enterprise systems, APIs, databases, cloud storage, and file-based ...

Freudenberg

Data Engineer

Plymouth, MI · On-site

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake. * Ingest and unify data from enterprise systems, APIs, databases, cloud storage, and file-based ...

Freudenberg Group

Data Engineer

Plymouth, MI · On-site

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake. * Ingest and unify data from enterprise systems, APIs, databases, cloud storage, and file-based ...

Kiongroup

Senior Data Engineer

Grand Rapids, MI

$133K - $204K/yr

... software engineering. * Proven ability to build end-to-end data platforms and data services (beyond ETL). * Strong cloud experience, preferably GCP; Azure (ADLS) and Databricks are strong pluses.

New

Samprasoft

Azure Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Job Title Develop and Implement Data Solutions utilizing Azure Services like Event Hub, Azure Data Factory, ADLS, Databricks, Azure web apps, Azure SQL DB instances. Experience with data ...

SynergisticIT

Entry-Level Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... Snowflake, Databricks, LLM, Gen AI, Text mining, Tableau, PowerBI, SAS, Tensorflow If you get ...

Staffingine LLC

Lead DevOps Engineer

Detroit, MI · On-site

$52.25 - $71.50/hr

... secure software development lifecycle and automated cloud infrastructure aligned with Agile ... Databricks, networking, and container orchestration platforms in a repeatable and auditable manner ...

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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 top tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Expertise in platforms like Databricks, strong coding skills, and experience in scalable data solutions are often required for such compensation levels.

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.

Is Databricks a high paying company?

As a company specializing in data analytics and cloud-based platforms, Databricks is known to offer competitive salaries for software roles, often above industry averages, especially for positions requiring skills in Spark, Python, and cloud services. Compensation can vary based on experience, location, and role level, but overall, it is considered a high-paying employer in the tech industry.

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. Compensation may also include bonuses, stock options, and benefits. Entry-level roles tend to start lower, while senior positions and specialized skills can command higher pay.

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 scheduled within the Databricks platform to run data processing, analytics, or machine learning tasks. They typically involve configuring job parameters, dependencies, and schedules using the Databricks workspace or APIs to ensure efficient data pipeline execution.

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 June 2026, with employment types broken down into 1% Locum Tenens, 5% As Needed, 28% Full Time, 7% Temporary, 55% Contract, and 4% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Palantir, Data Engineer

Palantir, Data Engineer

Strategic Employment

Detroit, MI • Remote

$113K - $135K/yr

Other

Posted 24 days ago

Job description

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for someone to work closely with stakeholders on low code data engineering solutions.

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A background in stakeholder/client-facing roles, and the ability to solve problems is more important.

This is a full-time, direct hire role.

Ideal candidate will have:

  • 1+ years in stakeholder-facing Data Engineering/Data Analytics position
  • Consulting experience
  • Databricks, Foundry, or Snowflake
  • Python, PySpark, TypeScript

Location: HQ in Michigan, occasional travel required

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Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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