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Azure Etl Developer Jobs in Michigan (NOW HIRING)

... ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools. Additional Required Qualifications * Bachelor's degree or foreign equivalent required ...

New

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Overview The Sr. Data Engineer will serve as a key technical contributor responsible for the design ... This person will lead the development of scalable ETL/ELT pipelines using IICS (Informatica ...

Senior Systems Engineer

Lansing, MI · On-site

$106K - $145K/yr

... Load (ETL) Firewall knowledge Unix/Linux knowledge Cloud computing fundamentals, resource ... Azure Statistics Audits & security plans Federal requirements - NIST 800-53, IRS Pub 1075, SSA ...

... Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version control (Git/GitLab ... serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps ...

Java Developer

Ann Arbor, MI

$50 - $64.50/hr

Shell Scripts * ETL Tool - Data Services * Business Objects/Cognos * Vendor Integration Experience Application/Software Developers are involved in the full systems life cycle and therefore are ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Participates in creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed.  Assist with updating the enterprise standards when ...

... ETL developers, and other stakeholders on requirements and design Develop scalable and reusable processes and automation frameworks for analyzing data and delivering ongoing quality metrics ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

The Data Engineering Team also does general extraction, transformation, and load (ETL) work, along with traditional Enterprise Data Warehousing (EDW) work. Responsibilities: * Participates in the ...

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Prior experience with ETL tools like DataStage or Informatica. Responsibilities: * The Data Engineer will play a key role in the developing and maintaining scalable data pipelines and workflows.

Experience with ETL/ELT tools such as Apache Airflow, DataFlow/DataProc, or Qlik Data Integration ... Experience with DevOps practices and tools (e.g., CI/CD, Terraform, Docker). Cloud BC Labs Inc is a ...

Showing results 41-60

Azure Etl Developer information

What is an Azure ETL Developer?

An Azure ETL Developer is an IT professional who specializes in designing, developing, and managing Extract, Transform, Load (ETL) processes using Microsoft Azure cloud services. They are responsible for moving and transforming data from various sources into a centralized data warehouse or data lake on Azure, ensuring data is accurate, reliable, and accessible for analysis. Typical tools and services they use include Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Their role is critical in supporting business intelligence, analytics, and decision-making by delivering clean and organized data.

What are the key skills and qualifications needed to thrive as an Azure ETL Developer?

To thrive as an Azure ETL Developer, you need expertise in data integration, SQL programming, and a solid understanding of data warehousing concepts, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Factory, Azure SQL Database, and ETL tools, as well as relevant certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills and qualifications ensure efficient, reliable data pipelines and seamless collaboration across data and business teams.

What are some common challenges faced by Azure ETL Developers when integrating data from multiple sources?

Azure ETL Developers often encounter challenges such as handling data consistency across various formats and sources, ensuring data quality during transformation, and optimizing pipeline performance for large datasets. Collaborating with data engineers, analysts, and business stakeholders is key to understanding requirements and troubleshooting issues. Familiarity with Azure services like Data Factory, Data Lake, and SQL Databases helps streamline integration processes and address these complexities efficiently.

What is the difference between Azure Etl Developer vs Data Engineer?

AspectAzure Etl DeveloperData Engineer
Primary FocusDesigning and implementing ETL processes on AzureBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsAzure Data Factory, SQL, Azure Data Lake, certifications like DP-203SQL, Python, Spark, cloud platforms, certifications vary
Work EnvironmentAzure cloud environment, data integration projectsData infrastructure, cloud or on-premises environments
Industry UsageData integration roles within organizations using AzureData architecture and pipeline development across industries

While both roles involve working with data pipelines, an Azure Etl Developer specializes in creating ETL processes specifically on Azure platforms, focusing on data integration tasks. A Data Engineer has a broader scope, including designing and maintaining data infrastructure and pipelines across various environments. The roles often overlap, especially in organizations leveraging Azure, but their core responsibilities differ in scope and focus.

What are popular job titles related to Azure Etl Developer jobs in Michigan? For Azure Etl Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Azure Etl Developer jobs in Michigan look for? The top searched job categories for Azure Etl Developer jobs in Michigan are:
What cities in Michigan are hiring for Azure Etl Developer jobs? Cities in Michigan with the most Azure Etl Developer job openings:
Infographic showing various Azure Etl Developer job openings in Michigan as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Azure Databricks Engineer

Infosys Limited

Ann Arbor, MI • On-site

$90 - $120/hr

Other

Medical, Retirement

Posted 2 days ago

New


Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

151st of 223 rated it services


Job description

Overview

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

Area of Responsibility
  • Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
  • Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
  • Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
  • Conduct code reviews, do changes to the codebase and maintain code repositories
  • Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
  • Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
  • Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
  • Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Your Contribution to the Team
  • A collaborative spirit and excellent communication skills.
  • The ability to handle end to end SDLC phases from requirement gathering to implementation.
  • A knack for translating complex requirements into actionable development tasks.
  • A passion for design and hands-on coding experience
  • A proactive approach to testing, troubleshooting, and refining our applications.
  • The ability to work with cross-functional teams and do software integration.
Required Skill and Experience
  • 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 control (Git/GitLab)
  • Experience designing, building and optimizing scalable data pipelines using Azure Databricks
  • Experience performing data ingestion, transformation and processing for enterprise data platforms
  • Experience collaborating with onsite stakeholders and cross‑functional teams to gather requirements and deliver solutions
  • Experience applying core data engineering principles (ETL/ELT, distributed processing, data governance)
Preferred Skill and Experience

Experience in real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools.

Additional Required Qualifications
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • This position may require relocation and/or travel to work/project location.
  • Candidates authorized to work for any employer in the United States without employer‑based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Benefits

Along with competitive pay, as a full‑time Infosys employee you are also eligible for the following benefits:

  • Long‑term/Short‑term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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