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Senior Databricks Data Engineer Jobs in Lansing, MI

CFS

Senior Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

Position: Senior Data Engineer Salary: $125,000-$155,000 Benefits: Free Healthcare options ... Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI. * Solid ...

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 ...

PROLIM Global Corporation

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

... Databricks. * 8+ years with Elastic Search and Kibana. * 8+ years with Python/Scala. * 8+ years ... Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering ...

Niowave Inc.

Senior Data Analyst

Lansing, MI

$78K - $98K/yr

We are a team of scientists, engineers, technicians, and innovators dedicated to changing the world by developing medical isotopes to treat and eradicate cancer. We believe in building an environment ...

TeamSoft

Senior Data Warehouse Architect

Lansing, MI · On-site

$65 - $80/hr

Senior Data Warehouse Architect Location: Lansing, MI (Hybrid) Work Arrangement: Hybrid Contract ... Collaborate with developers, technical teams, and stakeholders to support data initiatives.

Trilyon, Inc.

Senior Systems Engineer

Lansing, MI · On-site

$106K - $145K/yr

We are seeking a Senior Systems Engineer to join our team. This role will involve supporting ... Teradata backup, recovery, and disaster recovery planning to ensure data integrity and availability.

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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 Jul 29, 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.

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.

What are Senior Databricks Data Engineers?

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.
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:
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Senior Databricks Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

CFS

Lansing, MI • On-site

$125K - $155K/yr

Full-time

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Position: Senior Data Engineer
Salary: $125,000-$155,000
Benefits: Free Healthcare options, Retirement Plan w/ match, 3.5 Weeks PTO, etc.
Location: East Lansing, MI area (Onsite)
Why You Should Apply:
  • Outstanding culture with a family-oriented feel, where technology is highly valued.
  • Competitive compensation and benefits package with $0 cost healthcare options.
  • Work in a modern environment with the latest tools, collaborative spaces, and a strong focus on professional growth.
Summary of the Senior Data Engineer Role: We are seeking a Senior Data Engineer with strong SQL skills and hands-on experience working with enterprise data warehouse environments. This role will play a key part in building and maintaining scalable data solutions using Microsoft Fabric and Power BI. If you're passionate about transforming raw data into meaningful insights and enjoy collaborating across teams to support analytics initiatives, this could be a great fit.
Responsibilities of the Senior Data Engineer:
  • Build and maintain robust data pipelines for ingestion, transformation, and integration across diverse systems.
  • Develop and optimize ETL/ELT workflows using Microsoft Fabric Data Factory.
  • Write advanced SQL queries, stored procedures, and functions to support high-performance data operations.
  • Apply best practices in data modeling for enterprise-scale data warehouse environments.
  • Architect and manage data warehouse solutions using Microsoft Fabric’s Data Warehouse and OneLake.
  • Ensure consistency, reliability, and scalability of data across reporting and analytics platforms.
  • Work closely with developers to structure data for efficient Power BI usage, including semantic modeling and partitioning.
  • Collaborate with business analysts and stakeholders to gather requirements and deliver clean, actionable datasets.
  • Provide guidance on SQL optimization, data governance, and reporting standards.
Preferred Experience of the Senior Data Engineer:
  • Advanced SQL skills, including query tuning, indexing, and performance optimization.
  • Experience with enterprise data warehouse architecture and implementation.
  • Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI.
  • Solid understanding of data modeling techniques (e.g., star schema, snowflake schema, normalization).
  • Experience with data integration, data orchestration and data ingestion
  • Familiarity with ETL/ELT processes and orchestration frameworks.
  • Strong analytical thinking and problem-solving capabilities.
  • Excellent communication and collaboration skills.
  • Comfortable working in agile, fast-paced environments.
  • Bonus: Experience with real-time analytics and large-scale data processing.
  • Bonus: Experience with Microsoft Fabric
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