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Senior Databricks Data Engineer Jobs in Lansing, MI

Trilyon, Inc.

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

... Senior Data Engineer to join our team. This role will involve designing, developing, and ... The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and ...

Tech Tammina LLC

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Data Engineer Location: Lansing, MI (Need only locals, F2F is must) Rate: Market Duration ... Databricks. 8+ years using Elastic search, Kibanna. 8+ years using Python/Scala. 8+ years Oracle ...

SystemDomain, Inc.

Data Warehouse Architect

Lansing, MI · On-site

This role will involve close collaboration with enterprise architects, engineering teams, business ... Databricks * Data Warehousing * Cloud-based Data Platforms * Data Marts * Operational Data Stores ...

Prolim Global

Senior Data Architects

Lansing, MI · On-site

$68.25 - $91.25/hr

... and Databricks Apply online for immediate consideration, please send your updated resume, and ... Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering ...

PROLIM Global Corporation

Senior Data Architects

Lansing, MI · On-site

$68.25 - $91.25/hr

... and Databricks Apply online for immediate consideration, please send your updated resume, and ... Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering ...

New

VIIS Global Inc.

Data Warehouse Architect

Lansing, MI · On-site

... Databricks Other Preferred Skills and below Key Programming Languages: SQL, Python, R, Java Other Technologies, Concepts and Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB, GraphDB, EDP, Data ...

Masterapp Labs

Data Warehouse Architect

Lansing, MI · On-site

Key Programming Languages: SQL, Python, R, Java * Other Technologies, Concepts and Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB, GraphDB, EDP, Data Warehousing, Data Marts, Databricks ...

Prohires

Data Warehouse Architect - (Local to MI)

Lansing, MI · On-site

$64.75 - $83.25/hr

... Databricks Other Preferred Skills and below Key Programming Languages: SQL, Python, R, Java Other Technologies, Concepts and Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB, GraphDB, EDP, Data ...

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All JobsDatabricks Data Engineer JobsSenior Databricks Data Engineer JobsSenior Databricks Data Engineer Jobs in Lansing, MI

Senior Databricks Data Engineer information

See Lansing, MI salary details

$60.3K

$128.4K

$186.1K

How much do senior databricks data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior databricks data engineer in Lansing, MI is $128,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Lansing, MI?

The most popular types of Databricks Data Engineer jobs in Lansing, MI are:

What are popular job titles related to Senior Databricks Data Engineer jobs in Lansing, MI?

For Senior Databricks Data Engineer jobs in Lansing, MI, the most frequently searched job titles are:

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Cities near Lansing, MI with the most Senior Databricks Data Engineer job openings:

Senior Databricks Data Engineer jobs near you

Sr. Data Engineer MS Fabric ETL Cloud

RICEFW Technologies, Inc.

Lansing, MI • On-site

$116K - $139K/yr

Contractor

Re-posted 7 hours ago

Job description

Job Title: Sr. Data Engineer - MS Fabric / ETL / Cloud
We are looking for a hands-on Data Engineer with strong experience in MS Fabric, ETL/ELT, Data Modelling, and Cloud platforms.
The ideal candidate must be able to work independently from Day One and mentor junior team members.
Key Responsibilities
  • Design and develop ETL/ELT pipelines
  • Perform data orchestration using Azure Data Factory, SSIS, or any cloud orchestration tool
  • Develop and optimize advanced T-SQL programs (stored procedures, views, performance tuning)
  • Build and maintain dimensional models (Star / Snowflake schema) and apply normalization principles
  • Work within the Microsoft Fabric ecosystem (ADF, Databricks, Data Warehouse)
  • Ensure strong alignment with Power BI data modelling
  • Mentor and guide team members

Required Skills
  • Strong T-SQL programming & SQL optimization
  • Experience with MS Fabric
  • Hands-on ETL / ELT development
  • Data Modelling expertise
  • Mandatory experience in at least one Cloud platform (Azure / AWS / GCP)
  • Proven data orchestration experience
  • Ability to work independently

Nice to Have
Python for data processing

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