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Databricks Jobsexternal in Michigan (NOW HIRING)

Programmers.io

Senior Databricks Architect

Detroit, MI · On-site

$64 - $84.25/hr

Job Overview We are looking for a highly senior, deeply hands on Databricks Architect to lead a large‑scale Oracle‑to‑Databricks migration, covering schema migration, code conversion, and ODI ...

Deloitte

Sr Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

$95K - $130K/yr

Required : • 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 ...

Infosys Limited

Azure Databricks Engineer

Ann Arbor, MI · On-site

$90 - $120/hr

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 ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

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 ...

Fairygodboss

Azure Databricks Engineer

Ann Arbor, MI · On-site

$85 - $110/hr

In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: Responsibilities * Contribute to the requirements elicitation process by documenting assigned parts ...

Spruce Infotech

Azure Data Engineer

Ann Arbor, MI · On-site

$55 - $57/hr

Databricks, ADF, PySpark Nice to have skills: SQL, Gen AI, Control-M Detailed Key Responsibilities Design, build, and maintain data pipelines using Azure Databricks Perform data ingestion ...

Inficare Technologies

AI Specialist

Pontiac, MI · On-site

$80/hr

Apache Spark, Databricks, Jupyter Notebooks * Cloud Platforms: AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks) * Databases: SQL, NoSQL * Data Visualization: Tableau, PowerBI

Domino's Pizza

Platform Engineer

Ann Arbor, MI · On-site

Administer and support Databricks workspaces, clusters, jobs, runtimes, compute policies, SQL Warehouses, and platform configurations. * Troubleshoot and resolve production issues involving cluster ...

Domino's Corporate

Data Platform Engineer

Ann Arbor, MI · On-site

$112K - $134K/yr

Administer and support Databricks workspaces, clusters, jobs, runtimes, compute policies, SQL Warehouses, and platform configurations. * Troubleshoot and resolve production issues involving cluster ...

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Databricks information

See Michigan salary details

$20.5K

$32.9K

$44.5K

How much do databricks jobs pay per year?

As of Sep 7, 2026, the average yearly pay for databricks in Michigan is $32,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,200.00 and $36,200.00 per year, depending on experience, location, and employer.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

What are the most commonly searched types of Databricks jobs in Michigan?

The most popular types of Databricks jobs in Michigan are:

What are popular job titles related to Databricks jobs in Michigan?

For Databricks jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Databricks jobs in Michigan look for?

The top searched job categories for Databricks jobs in Michigan are:

What cities in Michigan are hiring for Databricks jobs?

Cities in Michigan with the most Databricks job openings:

Databricks jobs near you
Infographic showing various Databricks job openings in Michigan as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, 5% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $32,871 per year, or $15.8 per hour.

Senior Databricks Architect

Programmers.io

Detroit, MI • On-site

$64 - $84.25/hr

Contractor

Re-posted 6 days ago

Job description

Job Overview

We are looking for a highly senior, deeply hands on Databricks Architect to lead a large‑scale Oracle‑to‑Databricks migration, covering schema migration, code conversion, and ODI job modernization. The ideal candidate has extensive experience building enterprise-grade data platforms on Databricks, has executed at least one greenfield Databricks implementation, and is exceptionally strong in PySpark, Spark SQL, framework development, and Databricks Workflows.

Key Responsibilities

  • Architect, design, and implement cloud-native data platforms using Databricks (ingestion → transformation → consumption).
  • Lead the full Oracle → Databricks migration including schema translation, ETL/ELT logic modernization, and ODI job replacement.
  • Develop reusable PySpark frameworks, data processing patterns, and orchestration using Databricks Workflows.
  • Build scalable, secure, and cost‑optimized Databricks infrastructure and data pipelines.
  • Collaborate with business and technical stakeholders to drive data modernization strategy.
  • Establish development best practices, coding standards, CI/CD, and DevOps/DataOps patterns.
  • Provide technical mentorship and create training plans for engineering teams.
  • Contribute to building MLOps and advanced operations frameworks.

Required Qualifications

  • 14+ years in Data Engineering/Architecture with at least 4+ years hands-on Databricks experience delivering end‑to‑end cloud data solutions.
  • Strong experience migrating from Oracle/on‑prem systems to Databricks, including SQL, PL/SQL, ETL logic, and ODI pipelines.
  • Deep hands-on expertise in:
    • PySpark, Spark SQL, Delta Lake, Unity Catalog
    • Building reusable data frameworks
    • Designing high‑performance batch and streaming pipelines
  • Proven experience with greenfield Databricks implementations.
  • Strong understanding of cloud-native architectures on AWS and modern data platform concepts.
  • Solid knowledge of data warehousing, columnar databases, and performance optimization.
  • Good understanding of Agile/Scrum development processes.
  • Bonus: Experience designing Data Products, Data Mesh architectures, Data Vault or enterprise data governance models.
  • Good Understanding of Golde Gate.