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Senior Databricks Data Engineer Jobs in Lansing, MI

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.

Novia Infotech

Sr. .Net Developer

Lansing, MI · On-site

$55.25 - $73/hr

Title: Sr. .Net Developer Location: Lansing Michigan(Hybrid) Description: Our client is looking for ... storage, data retrieval, data validation, data manipulation, printing, and other processes.

Vertafore

Sr. Software Engineer

Okemos, MI · On-site

$80K - $100K/yr

We equip agencies, MGAs, and carriers with the core digital systems, specialized AI, and data ... As a Sr. Software Engineer, you will shape and improve the experience of key Vertafore customers.

Vertafore

Sr. Software Engineer

Okemos, MI · On-site

$80K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We equip agencies, MGAs, and carriers with the core digital systems, specialized AI, and data ... As a Sr. Software Engineer, you will shape and improve the experience of key Vertafore customers.

Vertafore

Sr. Software Engineer

Okemos, MI · On-site

$80K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We equip agencies, MGAs, and carriers with the core digital systems, specialized AI, and data ... As a Sr. Software Engineer, you will shape and improve the experience of key Vertafore customers.

Vertafore

Sr. Software Engineer

Okemos, MI

$111K - $147K/yr

We equip agencies, MGAs, and carriers with the core digital systems, specialized AI, and data ... As a Sr. Software Engineer, you will shape and improve the experience of key Vertafore customers.

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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 Aug 18, 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 job categories do people searching Senior Databricks Data Engineer jobs in Lansing, MI look for?

The top searched job categories for Senior Databricks Data Engineer jobs in Lansing, MI are:

What cities near Lansing, MI are hiring for Senior Databricks Data Engineer jobs?

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

Senior Databricks Data Engineer jobs near you

Data Warehouse Sr. ETL/BI Developer

Aroha Technologies

Lansing, MI • On-site

Other

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

Job description

Data Warehouse Sr. ETL/BI Developer Submission Requirements
  • 2 professional references are required and must be attached as a separate document.
  • Interview process: Virtual, expected to be 1 round.
  • Interview will include a mix of technical and behavioral questions.
  • Interview panel may include the Hiring Manager, direct supervisor, and another team member.
  • Assignment duration: 1 year+ contract, dependent on business need.
  • Hybrid schedule is non-negotiable.
  • Candidates must be local to the Lansing, Michigan area within 90 miles at the time of submission.
Position Details

The position functions as a Senior Information Technology Analyst responsible for developing, maintaining, and enhancing automated data warehouse applications .

The resource will represent the team and coordinate activities with other data warehouse teams on complex, multi-team projects. The position will also work with data warehouse developers to review existing policies and practices, modify them as needed, and propose new policies or practices.

Strong knowledge of SQL, Business Intelligence tools, and relational databases is required to develop and maintain data warehouse ETL processes and queries.

Required Skills
  • Bachelor's degree or equivalent technical study.
  • 6+ years of experience creating Data Warehouse BI applications, including ETL/data mart development, reporting, dashboards, and information analysis and delivery systems.
  • 2+ years of experience with Child Welfare Services, Juvenile Justice, Juvenile Services, or related areas.
Preferred Skills
  • Experience with SQL Assistant or Teradata Studio.
  • Ability to work independently with minimal direction.
Other Desired Skills
  • Experience with State of Michigan PMM/SUITE/Agile methodology.
  • End-user training experience.
  • Strong verbal and written communication skills.
  • Ability to communicate effectively with programmers, analysts, management, system users, operations, other state agencies, and private-sector organizations.
  • Experience gathering requirements and analyzing business problems.
  • Strong analytical, problem-solving, and decision-making skills.
  • Experience working with Data Modelers and developers.
  • Experience modifying logical designs to create physical designs suitable for reporting requirements.
  • Ability to design applications considering data reconciliation, source-system validation, query/reporting performance, and business value.
  • Experience presenting information to Project Review Boards, Project Sponsors, workgroups, and Technical Review Boards.
  • Experience consulting with agency clients and explaining complex IT processes and solutions.
  • Experience developing and maintaining communication plans with technical and business stakeholders.
  • Experience assisting Architects or DBAs with technical database models.
  • Knowledge of audit separation-of-duty requirements.
  • Experience capturing and designing data elements based on application requirements.
  • Experience reviewing and approving system documentation.
  • Experience analyzing the impact and risks of proposed legislation, enhancements, government requests, and process changes.
  • Experience providing technical expertise for IT project estimating and budgeting.
  • Team leadership experience, including directing code development and mentoring development staff.
  • Experience identifying opportunities for programming process and tool standardization.
  • Experience with disaster recovery planning and implementation.
  • Knowledge of production change management processes.
  • Experience reviewing and approving test plans.
  • Experience incorporating security requirements into test plans.

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