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Senior Databricks Data Engineer Jobs in Lansing, MI

Senior Software Test Engineer

Lansing, MI · On-site

$100K - $130K/yr

... data integrity across systems using SQL (joins, multi-table queries, CTE). • Maintain and enhance legacy test scripts in UFT/VBScript. • Integrate automated tests into Azure DevOps CI/CD ...

Senior Coating Engineer

Lansing, MI · On-site

$106K - $145K/yr

... skilled Senior Coating Technology Engineer to lead the development, optimization, and ... and data systems. * Assist with developing and participating in training for manufacturing ...

Senior Coating Engineer

Lansing, MI · On-site

$106K - $145K/yr

... skilled Senior Coating Technology Engineer to lead the development, optimization, and ... and data systems. * Assist with developing and participating in training for manufacturing ...

Hybrid - Okemos, MI (Minimum 2 days onsite weekly; moving to 3 days/week soon) · We are looking for a Senior SAS Programmer to join our Data Insights Team. Will work to support several reporting ...

Data Scientist

Okemos, MI · Hybrid

  • Medical

  • Dental

Communicates insights and results to senior stakeholders and decision-makers. * Develops innovative ... with programming languages, especially Python and SQL, or equivalent; excellent communication ...

Data Scientist

Okemos, MI · On-site

  • Medical

  • Dental

Communicates insights and results to senior stakeholders and decision-makers. * Develops innovative ... with programming languages, especially Python and SQL, or equivalent; excellent communication ...

Showing results 41-60

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 Software Test Engineer

RIT Solutions, Inc.

Lansing, MI • On-site

$100K - $130K/yr

Full-time

Re-posted 28 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a Senior Software Test Engineer with expertise in functional testing and automation. The role involves leading QA strategies for enterprise applications, mentoring junior engineers, and implementing automation frameworks while ensuring quality in Agile environments.
Responsibilities:
• Lead QA strategy and best practices for enterprise applications (Payments, CRM).
• Mentor junior QA engineers and provide technical guidance.
• Design and implement automation frameworks using Playwright (Python) and Pytest.
• Automate REST API testing using REST Assured.
• Execute performance and load tests using Locust, JMeter, or LoadRunner.
• Validate data integrity across systems using SQL (joins, multi-table queries, CTE).
• Maintain and enhance legacy test scripts in UFT/VBScript.
• Integrate automated tests into Azure DevOps CI/CD pipelines.
• Collaborate with developers, architects, and product owners in Agile teams.
• Perform security and compliance testing (PCI DSS, GDPR, HIPPA) for enterprise systems.
• Ensure accessibility and usability compliance for applications.
• Conduct Manual and automated accessibility evaluations.
• Manage test cases and reporting using Azure Test Plans or similar tools.
• Create and maintain test documentation (BRD, FRD, SRS, RTM).
• Oversee test environment setup and test data management.
Qualifications:
Required:
• 8+ years of experience in software testing, including automation and performance testing.
• Strong experience with Playwright (Python) and Pytest.
• API automation using REST Assured.
• Proficiency in SQL for data validation.
• Hands-on experience with Dynamics 365 functional testing.
• Performance testing tools: Locust, JMeter, or LoadRunner.
• Familiarity with Git, Allure, and Azure DevOps pipelines.
• Experience with test data management and environment configuration.
• Knowledge of security standards (PCI, GDPR) and accessibility guidelines.
• Knowledge of WCAG 2.1/2.2 guidelines
• Knowledge of assistive technologies (i.e. JAWS, NVDA)
• Excellent communication and leadership skills for cross-functional collaboration.
Preferred:
• Certifications: Dynamics 365, Python, SQL, Agile.
• Knowledge of C#/.NET/Java.
• Exposure to Docker/Kubernetes and containerized environments.
• Experience with Azure Test Plans or similar test management tools.
• Familiarity with SAFe or other scaled Agile frameworks.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.