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Databricks Software Jobs in Michigan (NOW HIRING)

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Participate in the testing process through test review, analysis, witnessing, and certification of software. * Work with Azure Data Factory (ADF), Databricks, and Synapse Analytics for data ...

Software Engineer

Warren, MI · On-site

$93K - $142K/yr

The Role As a Software Engineer, you will develop code for high performance back-end services for ... Databricks, Hadoop, Hbase, Hive, Scala, SPARK, Sqoop, Flume, Kafka, Python * Experience with Oracle ...

Software Engineer

Warren, MI · Hybrid

$93K - $142K/yr

The Role As a Software Engineer, you will develop code for high performance back-end services for ... Databricks, Hadoop, Hbase, Hive, Scala, SPARK, Sqoop, Flume, Kafka, Python * Experience with Oracle ...

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

... software certification. * Develop and maintain Azure-based data engineering solutions. * Work with Azure Data Factory (ADF), Databricks, and Synapse Analytics. * Perform data transformation and ...

Senior Software Engineer

Warren, MI · On-site

$115K - $151K/yr

Design and implement comprehensive dashboards in Databricks and Grafana to actively monitor and ... Bachelor's degree in Computer Science, Software Engineering, Information Technology, Electrical ...

Senior Software Engineer

Warren, MI · Hybrid

$115K - $151K/yr

Design and implement comprehensive dashboards in Databricks and Grafana to actively monitor and ... Bachelor's degree in Computer Science, Software Engineering, Information Technology, Electrical ...

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

... and software certification. Develop and maintain Azure-based data engineering solutions. Work with Azure Data Factory (ADF), Databricks, and Synapse Analytics. Perform data transformation and ...

... and Databricks Genie Spaces use cases. - Partner with technical team members and business ... What do you need to have? - Bachelor's degree in Computer Science, Software Engineering ...

... and Databricks Genie Spaces use cases. - Partner with technical team members and business ... What do you need to have? - Bachelor's degree in Computer Science, Software Engineering ...

... and Databricks Genie Spaces use cases. - Partner with technical team members and business ... What do you need to have? - Bachelor's degree in Computer Science, Software Engineering ...

This role requires strong expertise in AWS, Databricks, Power BI, Grafana, JIRA, and Confluence ... Experience in full stack software engineering or application development * Strong hands-on ...

The AI and Data Analytics Team is looking for a Software Engineer to join our team. You will lead ... Experience with Databricks notebook workflows * Experience with Terraform

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

... ML, Software Development, Technical Writing, and Digital Transformation. We partner with top ... The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data ... Experience with Databricks notebook workflows * Experience with Terraform

The AI and Data Analytics Team is looking for a Software Engineer to join our team. You will lead ... Experience with Databricks notebook workflows * Experience with Terraform Our Benefits -- Designed ...

Senior Software Engineer (.NET )

Warren, MI · On-site

$115K - $151K/yr

We are seeking an experienced Senior Software Engineer ( .NET ) to join our team. In this role, you ... Experience in Azure Databricks, Data Mesh architecture This job may be eligible for relocation ...

$111K - $146K/yr

Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science ... Experience with Databricks or Databricks Genie Spaces. Experience with model-serving endpoints or ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Uphold rigorous software engineering standards, including comprehensive unit/integration testing ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:

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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 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 Michigan? For Databricks Software jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Databricks Software jobs? Cities in Michigan with the most Databricks Software job openings:
Infographic showing various Databricks Software job openings in Michigan as of July 2026, with employment types broken down into 2% Locum Tenens, 14% As Needed, 68% Full Time, 4% Part Time, 3% Contract, and 9% Nights. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.
Data Engineer

Data Engineer

HTC Global Services

Grand Rapids, MI • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Job Title
Azure Data Engineer
Candidates needed with strong Azure data engineering experience, specifically ADF, Databricks, Synapse, and Cosmos DB. Hands-on SQL/Python/Scala skills and experience working with complex data flows or digital marketing/ecommerce data environments.
Overview / Summary
We are seeking an experienced Azure Data Engineer with 5-10 years of relevant experience in designing, developing, and implementing software and data engineering solutions. The ideal candidate will have strong expertise in Azure-based technologies, data transformation, and analytics platforms. This role involves working on complex tasks, supporting software applications, participating in testing processes, and contributing to data flow analysis and data modeling recommendations.
Key Responsibilities
  • Design, modify, develop, write, and implement software programming applications.
  • Support and/or install software applications and operating systems.
  • Participate in the testing process through test review, analysis, witnessing, and certification of software.
  • Work with Azure Data Factory (ADF), Databricks, and Synapse Analytics for data engineering solutions.
  • Perform data transformation and scripting using SQL, Python, or Scala.
  • Work with Azure Cosmos DB and other Azure data storage solutions.
  • Conduct discovery on existing tools and data flows and recommend data models where applicable.
  • Handle a variety of complex tasks with a high degree of creativity and independent judgment.

Required Qualifications
  • 5-10 years of relevant work experience.
  • 5-7 years of experience in data engineering focused on Azure-based solutions.
  • Strong experience with Azure Data Factory (ADF), Databricks, and Synapse Analytics.
  • Knowledge of SQL, Python, or Scala for data transformation and scripting.
  • Hands-on experience with Azure Cosmos DB and other Azure data storage solutions.
  • Familiarity with software testing processes including test review and analysis.
  • Ability to work on complex tasks with creativity and latitude.
  • Experience or understanding of digital marketing or ecommerce data domains preferred.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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