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Contract Databricks Developer Jobs in Michigan (NOW HIRING)

Lead DevOps Engineer

Detroit, MI

$48.25 - $66/hr

Contract Collaborate with Agile development teams to design, implement, and maintain a secure ... Databricks, networking, and container orchestration platforms in a repeatable and auditable manner.

Lead DevOps Engineer

Detroit, MI · On-site

$52.25 - $71.50/hr

Contract • Collaborate with Agile development teams to design, implement, and maintain a secure ... Databricks, networking, and container orchestration platforms in a repeatable and auditable manner ...

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and ... Lansing, MI (Hybrid - Onsite 2 days/week, REQUIRED) Duration: 1 year contract with possible ...

... clean contracts between layers * Deep understanding of data pipeline design, with fluency in the ... Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ...

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

... clean contracts between layers * Deep understanding of data pipeline design, with fluency in the ... Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ...

Data Engineer

Southfield, MI · On-site

$114K/yr

Contract * Job #104222 Employer: Epitec, Inc. Position: Data Engineer (Job Code: 1391) Duties ... Airflow, Databricks, Teradata Vantage, Hadoop, GCP, AWS, Azure, Docker, Git, Tableau, QlikView ...

Detroit, MI (Hybrid) Job Type: Contract * Develop and deploy Machine Learning and AI models ... Experience with Databricks is a plus. * Strong software development and coding best practices.

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Contract Databricks Developer information

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer, and why are they important?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are the most commonly searched types of Databricks Developer jobs in Michigan? The most popular types of Databricks Developer jobs in Michigan are:
What are popular job titles related to Contract Databricks Developer jobs in Michigan? For Contract Databricks Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Developer jobs in Michigan look for? The top searched job categories for Contract Databricks Developer jobs in Michigan are:
What cities in Michigan are hiring for Contract Databricks Developer jobs? Cities in Michigan with the most Contract Databricks Developer job openings:
IT - Senior Consultant | Cloud Integration | Azure Data Factory (ADF)

IT - Senior Consultant | Cloud Integration | Azure Data Factory (ADF)

Spruce Infotech

Ann Arbor, MI • On-site

$57.25 - $78/hr

Full-time

Posted yesterday


Job description

POC: Sam Chavez
ATTENTION ALL SUPPLIERS!!!
READ BEFORE SUBMITTING
• UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
• Limited to 1 submission per supplier. Please submit your best.
• We prioritize endorsing those with complete and accurate information
• Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
• Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.
• Please submit profiles within the max proposed rate.
• Please make sure to TAG the profiles correctly if the candidate has WORKED FOR INFOSYS as a SUBCON or FTE.
MANDATORY: Please include in the resume the candidate's complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
Job Title: Senior Consultant | Cloud Integration | Azure Data Factory (ADF) - Databricks Developer
Work Location & Reporting Address: Ann Arbor, MI 48105 (Full Onsite. Will consider candidates willing to relocate to client's location)
Contract duration: 9
MAX VENDOR RATE: XXX per hour max
Target Start Date: 19 Jun 2026
Does this position require Visa independent candidates only? No. VD candidates will be considered
Must Have Skills:
• Databricks
• Azure Data Factory
• PySpark
Nice to Have Skills:
• SQL
• Gen AI
Detailed Job Description:
• The client is looking for a seasoned professional who can design scalable data solutions, lead governance and security, and collaborate with stakeholders while driving innovation.
• Expertise in Azure, Databricks, Spark, Python, SQL, and enterprise grade solution implementation is essential.
Minimum Years of Experience:
• 9+ years
Certifications Needed:
• None
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Interview Process (Is face to face required?)
• Virtual
Any additional information you would like to share about the project specs/nature of work: