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Databricks Engineer Jobs in Taylor, MI (NOW HIRING)

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 ...

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 ...

Senior Databricks Architect

Detroit, MI · On-site

$64 - $84.25/hr

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 ...

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

Systems Engineer - Data and Insights

Warren, MI · On-site

$107K - $129K/yr

Design, build, and optimize Databricks (DBX) data pipelines and workflows to support scalable batch and near real-time data processing.. * Partner with data science and AI teams to productionize AI ...

Systems Engineer - Data and Insights

Warren, MI · On-site

$107K - $128K/yr

Design, build, and optimize Databricks (DBX) data pipelines and workflows to support scalable batch and near real-time data processing.. * Partner with data science and AI teams to productionize AI ...

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

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Databricks Engineer information

See Taylor, MI salary details

$55.2K

$103.6K

$188.4K

How much do databricks engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for databricks engineer in Taylor, MI is $103,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $123,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.

What are popular job titles related to Databricks Engineer jobs in Taylor, MI?

For Databricks Engineer jobs in Taylor, MI, the most frequently searched job titles are:

What cities near Taylor, MI are hiring for Databricks Engineer jobs?

Cities near Taylor, MI with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in Taylor, MI as of June 2026, with employment types broken down into 69% Full Time, 19% Part Time, and 12% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $103,631 per year, or $49.8 per hour.

Azure Databricks Engineer

Infosys Limited

Ann Arbor, MI • On-site

$90 - $120/hr

Other

Medical, Retirement

Posted 10 days ago


Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

152nd of 224 rated it services


Job description

Overview

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

Area of Responsibility
  • Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
  • Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
  • Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
  • Conduct code reviews, do changes to the codebase and maintain code repositories
  • Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
  • Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
  • Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
  • Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Your Contribution to the Team
  • A collaborative spirit and excellent communication skills.
  • The ability to handle end to end SDLC phases from requirement gathering to implementation.
  • A knack for translating complex requirements into actionable development tasks.
  • A passion for design and hands-on coding experience
  • A proactive approach to testing, troubleshooting, and refining our applications.
  • The ability to work with cross-functional teams and do software integration.
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) and version control (Git/GitLab)
  • Experience designing, building and optimizing scalable data pipelines using Azure Databricks
  • Experience performing data ingestion, transformation and processing for enterprise data platforms
  • Experience collaborating with onsite stakeholders and cross‑functional teams to gather requirements and deliver solutions
  • Experience applying core data engineering principles (ETL/ELT, distributed processing, data governance)
Preferred Skill and Experience

Experience in real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools.

Additional Required Qualifications
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • This position may require relocation and/or travel to work/project location.
  • Candidates authorized to work for any employer in the United States without employer‑based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Benefits

Along with competitive pay, as a full‑time Infosys employee you are also eligible for the following benefits:

  • Long‑term/Short‑term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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