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Commission Azure Data Engineer Jobs in Michigan (NOW HIRING)

Steelcase Inc

Senior Data Engineer

Grand Rapids, MI · On-site

$97K - $121K/yr

Snowflake, Azure Synapse, AWS Redshift, GCP Big Query). * Apply data architecture patterns (e.g ... Azure DevOps). Minimum Qualifications * At least 3 years of full-time experience in US as Data ...

Plantemoran

Data Architect

Grand Rapids, MI

$61.25 - $78.75/hr

... Data Engineering, Data Factory, OneLake, and semantic model concepts. * Experience designing modern lakehouse, warehouse, and data integration architectures using Microsoft Fabric, Azure Data ...

Plantemoran

Data Architect

Southfield, MI

$58.50 - $75.25/hr

... Data Engineering, Data Factory, OneLake, and semantic model concepts. * Experience designing modern lakehouse, warehouse, and data integration architectures using Microsoft Fabric, Azure Data ...

IMR Soft Llc

Azure Architect

Grand Rapids, MI · On-site

$61 - $79.50/hr

... programming. * 6+ years hands-on with .NET, C#, MVC, SQL, Web APIs. * Strong expertise in Azure services and data processing tools. * Proven track record of delivering high-quality, secure, and ...

Domino's

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

As a Senior Data Engineer, you will operate as a technical expert responsible for designing ... Azure experience preferred. * Advanced technical expertise in Cloud based data warehouses ...

Domino's Corporate

Senior Data Engineer

Ann Arbor, MI

$103K - $140K/yr

As a Senior Data Engineer, you will operate as a technical expert responsible for designing ... Azure experience preferred. * Advanced technical expertise in Cloud based data warehouses ...

Domino's Pizza

Senior Data Engineer

Ann Arbor, MI

$103K - $140K/yr

As a Senior Data Engineer, you will operate as a technical expert responsible for designing ... Azure experience preferred. * Advanced technical expertise in Cloud based data warehouses ...

General Motors

Senior Data Engineer

Warren, MI

$99K - $135K/yr

Design, build, and productionize secure, scalable batch and streaming data pipelines in Azure ... Improve engineering processes, automation, delivery patterns, platform performance, scalability ...

3B Staffing LLC

Data Engineer

Pontiac, MI · On-site

$113K - $136K/yr

Data Engineer (AWS, Snowflake, Pyspark, SQL) Location: Auburn Hills, MI Duration: Fulltime Must ... dbt, Azure Data factory * Database Management: Expertise in data warehousing solutions like ...

3B Staffing LLC

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Data Engineer Position Summary * Lead the design and development of scalable and high-performance ... Experience or Knowledge on creating CI/CD pipelines using Azure Devops Skills Needed: * 12+ years ...

3B Staffing LLC

Data Engineer

Pontiac, MI · On-site

$113K - $136K/yr

Data Engineer (AWS, Snowflake, Pyspark, SQL) Location: Auburn Hills, MI Duration: Fulltime Must ... dbt, Azure Data factory * Database Management: Expertise in data warehousing solutions like ...

Aptdata Solutions Inc.

Data Engineer

Farmington Hills, MI · On-site

$90 - $115/hr

Job Summary We are looking for a talented Data Engineer to join our team and help design, build ... Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud data services (Redshift, BigQuery ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

$95K - $130K/yr

Required : • Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python) • Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version ...

3B Staffing LLC

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Data Engineer Position Summary * Lead the design and development of scalable and high-performance ... Experience or Knowledge on creating CI/CD pipelines using Azure Devops Skills Needed: * 12+ years ...

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Showing results 21-40

All JobsAzure Data Engineer JobsCommission Azure Data Engineer JobsCommission Azure Data Engineer Jobs in Michigan

Commission Azure Data Engineer information

What is the difference between Commission Azure Data Engineer vs Azure Data Engineer?

AspectCommission Azure Data EngineerAzure Data Engineer
CertificationsAzure Data Engineer Associate, relevant certificationsAzure Data Engineer Associate, relevant certifications
Work EnvironmentProject-based, client-focused, consulting firmsIn-house or cloud-based data teams within organizations
Industry UsageConsulting, freelance, project-specific rolesCorporate, enterprise data teams
Search & Comparison IntentHigh overlap in skills, certifications, and toolsSimilar roles with different employment settings

The main difference is that a Commission Azure Data Engineer typically works on a project basis, often as a consultant or freelancer, focusing on client-specific data solutions. An Azure Data Engineer usually works within a company's data team, handling ongoing data infrastructure and pipelines. Both roles require similar certifications and skills, but their work environments and employment models differ.

What are the most commonly searched types of Azure Data Engineer jobs in Michigan?

The most popular types of Azure Data Engineer jobs in Michigan are:

What cities in Michigan are hiring for Commission Azure Data Engineer jobs?

Cities in Michigan with the most Commission Azure Data Engineer job openings:

Commission Azure Data Engineer jobs near you

Senior Data Engineer

Steelcase Inc

Grand Rapids, MI • On-site

$97K - $121K/yr

Full-time

Posted 5 days ago

Steelcase rating

7.1

Company rating: 7.1 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

24th of 52 rated furniture manufacturers

Job description

Description
We are hiring a Senior Data Engineer who will help transform enterprise data into reliable, scalable solutions by developing modern data pipelines and partnering closely with analytics, data science, and engineering teams.
Helping Our People Thrive
  • Offering competitive wages and benefits, that support your life both in and out of work
  • Providing a flexible hybrid work schedule, meaning we expect the office to be your primary place of work, balanced with choice and control.
  • Creating continuous learning opportunities to help you grow and upskill.
  • Fostering a culture of inclusion where employees feel seen, heard and valued - and living it out every day.
  • Empowering you to make a meaningful impact on people and the planet through your work and Steelcase's ongoing commitment.

Supporting Meaningful Work
  • Collaborate with product owners, managers and engineers, help with scoping and defining Minimum Viable Products (MVPs).
  • Collaborate with multi-functional teams to define, design, and build big data solutions using tools and programming languages like Databricks, Azure Data Factory, Apache Spark, Python, SQL, etc.
  • Architect and develop scalable and robust data pipelines using data from diverse sources, databases, APIs, applications and files (e.g. Snowflake, Azure Synapse, AWS Redshift, GCP Big Query).
  • Apply data architecture patterns (e.g., event-driven, medallion, data lakehouse) to ensure scalability, performance, and maintainability of data solutions.
  • Perform data mapping, establish data lineage, define data contracts, and document information flows to ensure observability and traceability (e.g. Azure Purview, Lakehouse Monitoring).
  • Collaborate with data consumers (e.g. data analytics stakeholders and data scientists) to streamline the data acquisition and curation process.
  • Monitor, optimize and troubleshoot data pipeline performance issues and coordinate the issue resolution process with the respective individuals/partner teams.
  • Research and promote new tools and techniques to shape the future of the data platform, and build POCs to validate these new concepts including, but not limited to, data processing frameworks, distributed storage systems, data orchestration and workflow tools. (e.g. Databricks Lakebase, Azure Event Hubs, Azure Stream Analytics).
  • Implement an enterprise data governance model (e.g., Databricks Unity Catalog) and actively promote data protection, sharing, reuse, quality, and standards.
  • Architect, develop, and manage the data platform infrastructure, ensuring high availability, scalability, and security, utilizing multiple methods such as infrastructure-as-code (IaC) and CI/CD pipelines (e.g. Azure DevOps).

Minimum Qualifications
  • At least 3 years of full-time experience in US as Data Engineer, Data Scientist, AI Engineer, Software engineer or similar position.
  • Hands-on experience with Databricks, Apache Spark, Azure, and Python.
  • Strong understanding of data engineering concepts, including data pipelines and scalable data processing solutions.
  • Qualified applicants must be authorized to work in the United States on a full-time basis. Steelcase will not provide support for or sponsor work authorization and/or visas for this role.

Desired Skills and Experience
  • Experience with Data Governance practices and frameworks.
  • Experience working with cloud platforms. While Azure experience is preferred, candidates with relevant experience in AWS or Google Cloud Platform (GCP) are also encouraged to apply.
  • Knowledge of Scala is preferred.

Doing better for people and planet
Steelcase is a global design and thought leader in the world of work. Along with our expansive community of brands, we design and manufacture innovative furnishings and solutions to help people do their best work in the many places where work happens.
Why People Choose to Work with Us:
At Steelcase, we put people at the center of everything we do. We understand the role of work and believe that it can bring meaning and purpose to the lives of our customers and our employees. We prioritize supporting our employees both in and out of work, in all aspects of their lives. When we bring our talents together, we make a positive lasting impact through our work and communities.
The starting annual base salary range for this position is $97,000 - $121,000. Please note that the salary information is a general guideline only. Steelcase considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer.
Steelcase provides employment opportunities to all qualified employees and applicants without regard to race, color, creed, genetic information, religion, national origin, gender, sexual orientation, gender identity and expression, age, disability, or veteran status and bases all employment decisions only on valid job requirements. If we can make the application process easier through accommodation, please email us at myhr@steelcase.com.
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