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Databricks Engineer Jobs in Taylor, MI (NOW HIRING)

Reply

Data Engineer

Detroit, MI

$130K - $150K/yr

Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI * DevOps for data ...

Freudenberg

Data Engineer

Plymouth, MI

$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 ...

Freudenberg Group

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 ...

General Motors

Data Engineering Manager

Warren, MI

$107K - $129K/yr

If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building engineering organizations that move fast and innovate continuously, we'd love to meet you. You are a ...

Ilitch

Applied AI Engineer

Detroit, MI · On-site

The Applied AI Engineer turns ideas into production-ready AI solutionsspanning feasibility, data ... The ideal candidate can work across the stack, with experience in platforms such as Databricks and ...

HARMAN International

Principal Engineer, AI

Novi, MI · On-site

AI Engineering Leadership: * Define best practices for AI solution design, deployment, and ... Ensure AI solutions effectively leverage enterprise data pipelines (e.g., Databricks). * Feature ...

Domino's Pizza

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark ...

Domino's Corporate

Senior Data Engineer

Ann Arbor, MI

$103K - $140K/yr

Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark ...

Domino's

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark ...

Staffingine LLC

Lead DevOps Engineer

Detroit, MI · On-site

$52.25 - $71.50/hr

... s Engineer Job Location: Detroit, MI Job Type: Contract * Collaborate with Agile development teams ... Databricks, networking, and container orchestration platforms in a repeatable and auditable manner.

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Showing results 21-40

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Taylor, MI

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 25, 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 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.

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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.

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:

Databricks Engineer jobs near you
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.

Data Engineer

Reply

Detroit, MI

$130K - $150K/yr

Full-time

Re-posted 2 days ago

Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies.  We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
 
We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone who combines deep technical expertise with strong consulting skills — someone who can engage directly with clients, understand business needs, translate requirements into scalable technical solutions, and communicate clearly with both technical and non-technical stakeholders.
 
As a member of the team, you will contribute to solution architecture and help deliver high-quality modern data solutions that drive measurable business value. The ideal candidate is equally comfortable discussing lakehouse architecture with engineers, facilitating design sessions with client stakeholders, and presenting recommendations to leadership teams.
Responsibilities
•    Work directly with clients to understand business goals, data challenges, and technical requirements
•    Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
•    Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
•    Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
•    Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
•    Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
Minimum Requirements
•    Bachelor’s degree in computer science or related field
•    6+ years of experience in data engineering, data platform development, or cloud data solutions
•    3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
•    Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
•    Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI 
•    DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
•    Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
•    Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
•    Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
•    Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements 
•    Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
About Reply
 
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
 
The base compensation range for this full-time position is between $130,000 - $150,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.
 
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.