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Contract Databricks Developer Jobs in Michigan (NOW HIRING)

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116.10K - $139.50K/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 ...

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 ...

Senior Data Engineer

East Lansing, MI · On-site

$125K - $155K/yr

Permanent or Contract-to-Hire Salary: $125,000 - 155,000 Benefits: Free Healthcare options ... Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI. * Solid ...

Permanent or Contract-to-Hire Salary: $125,000 - 155,000 Benefits: Free Healthcare options ... Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI. * Solid ...

Permanent or Contract-to-Hire Salary: $125,000 - 155,000 Benefits: Free Healthcare options ... Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI. * Solid ...

Data Scientist

Grand Rapids, MI · Hybrid

$70 - $90/hr

Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit ... Azure DevOps, Azure Synapse, MLOps, GitHub - Solid experience working with large datasets and ...

Data Scientist

Grand Rapids, MI · Hybrid

$70 - $90/hr

Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit ... Azure DevOps, Azure Synapse, MLOps, GitHub - Solid experience working with large datasets and ...

Senior Data Engineer

Grand Rapids, MI · On-site

$101.80K - $138.30K/yr

... contract validation, deployment gates, and cost optimization and performance tuning as ongoing ... Databricks, or equivalent) and a production-grade orchestrator (Airflow, Dagster, Prefect, or ...

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Contract Databricks Developer information

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 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 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 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 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:
DevOps Lead - Dearborn, MI

DevOps Lead - Dearborn, MI

Digital Technology Solutions

Lansing, MI • Remote

$53.50 - $73.25/hr

Other

Posted 2 days ago


Job description

DTS is looking for DevOps Lead for our direct client Position in Dearborn, MI Role Overview A DevOps Lead to come in as a contractor (with potential to convert) and replace a highly experienced team member. This person needs to operate at an architectural level, owning infrastructure and DevOps pipeline design across multiple tech stacks while collaborating broadly across engineering and operations. It’s a hands-on leadership role with strong emphasis on Azure and infrastructure-as-code.

Top Required Skills / Qualifications Terraform expertise (Infrastructure as Code) – must be strong in IAC and able to design and implement infrastructure Deep Azure expertise – expert-level knowledge of Azure technologies, including Key Vault and overall ecosystem DevOps architecture & pipeline development – ability to design and build pipelines, support branching strategies, and work across multiple stacks (Java, .NET, Databricks) Preferred / Differentiating Skills Prior leadership or team lead experience (nice to have, not required) Experience coaching teams on branching strategies and DevOps best practices Familiarity with JFrog Artifactory Exposure to ML Ops / deploying machine learning models (Databricks-related work) Experience working in high-security / locked-down environments Additional Details Engagement Type: Contract-to-hire (6-month contract) Team Structure: Small team (2 people), but heavy cross-functional collaboration with developers and operations Leadership Expectations: Will guide another contractor; must be able to make decisions and direct work (even if not a formal manager) Culture Fit: Strong collaboration required; must work well across teams (no difficult personalities) Location Requirement: Initially onsite/local preferred; remote only if necessary Key Projects: Migration from Bitbucket → Azure DevOps Transition from Jenkins pipelines → Azure DevOps Building pipelines for Databricks (ML/AI model deployments) Environment Notes: Highly secure/locked-down environment Regular collaboration with security team (weekly meetings) Preliminary Screening Questions Describe the Git branching strategy you have implemented and what policies you put in place in an Azure DevOps pipeline. Describe how you have structured Azure DevOps YAML pipeline templates to support multiple teams. What was the most difficult challenge you had implementing DevOps, and why was it challenging?

Job Summary The DevOps Lead will design, implement, and support agile solutions and processes leveraged by applications hosted in our Microsoft Azure environment. This role is pivotal in driving continuous integration, continuous delivery, and security practices, with a heavy focus on Infrastructure as Code, IaC, and supporting the migration toward containerized workloads. Your expertise will help optimize development workflows, automate the provisioning of Azure resources, and ensure the highest level of security through automated governance and Security as Code practices.

Essential Job Functions Collaborate with Agile development teams to design, implement, and maintain a secure software development lifecycle and automated cloud infrastructure aligned with Agile principles. Design, develop, and maintain modular Infrastructure as Code using Terraform and Bicep to provision and manage Azure resources, including Azure Databricks, networking, and container orchestration platforms, in a repeatable and auditable manner. Design and implement team-specific CI/CD pipelines in Azure DevOps that account for differences across various technology stacks, including Java, .NET, Node.js, and Python.

Support and optimize containerized deployments, ensuring best practices for image management, registry security, and orchestration within the Azure ecosystem. Integrate security best practices into CI/CD pipelines, including code scanning, static analysis, and container image scanning using tools such as SonarQube, JFrog, and Azure Defender for Containers. Automate the setup and configuration of Azure Kubernetes Service, AKS, or Azure Container Apps environments.

Advocate for software engineering practices such as unit testing, code reviews, and automated infrastructure testing to improve end-to-end secure delivery. Partner with teams to facilitate practical automation solutions and custom IaC modules that adhere to organizational compliance standards. Act as a trusted advisor for DevOps, cloud automation, and containerization initiatives.

Minimum Qualifications and Job Requirements 5+ years of experience deploying and managing Azure resources at scale. 3+ years of hands-on experience with Infrastructure as Code, specifically using Terraform and Bicep to manage complex Azure environments. Strong understanding of Terraform state management, module design, workspace strategies, and pipeline integration.

5+ years of experience implementing DevOps for application teams using Agile development methodology. Hands-on experience integrating SonarQube, JFrog, and other security tooling into pipelines. In-depth technical expertise in DevOps techniques, including CI/CD, continuous testing, and automated infrastructure provisioning.

Proficiency in scripting languages such as PowerShell, Bash, and Python to automate tasks. 5+ years of experience building YAML-based CI/CD pipelines using Azure DevOps and/or Jenkins. Experience with DevOps CI/CD tools such as Azure DevOps Pipelines/Repos, Jenkins, Git, and Ansible.

Hands-on experience implementing security scanning for application code, IaC templates, and container images. Preferred Qualifications Experience with containerization and orchestration tools such as Docker, Azure Kubernetes Service, or Azure Container Instances. Certified Azure Solutions Architect or Azure DevOps Engineer, AZ-400.

Contact: Ajay Bharbutta Team Lead Digital Technology Solutions 313-489-9795