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Elt Developer Jobs in Michigan (NOW HIRING)

Sr. Data Engineer

East Lansing, MI · On-site

$110K - $132K/yr

Job Title: Sr. Data Engineer - MS Fabric, ETL/ELT, Data Modelling, and Cloud platforms Location: Lansing, MI (Onsite-Hybrid) Duration: Long term contract Mode of Interview: In-Person interview Only ...

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 ...

Sr. Data Engineer

East Lansing, MI · On-site

$110K - $132K/yr

\n \n \n Job Title: Sr. Data Engineer \- MS Fabric, ETL\/ELT, Data Modelling, and Cloud platforms Location: Lansing, MI (Onsite\-Hybrid) Duration: Long term contract Mode of Interview: In\-Person ...

DATA ENGINEER

Wyoming, MI

$103K - $124K/yr

Data Engineer Retail & E-Commerce (2 3 Years Experience) Company: AaraTech Inc About the Role ... Support ETL / ELT data pipelines * Write SQL queries and basic Python scripts * Assist with data ...

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

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 ...

Support and optimize ELT/ETL pipelines feeding the data warehouse * Collaborate with data engineers to ensure reliable ingestion from source systems * Validate data quality, consistency, and ...

Data Warehouse Engineer Employment Type: Contract Duration: 6 month contract, with potential ... Develop and maintain scalable ETL/ELT pipelines and data integration processes * Build and optimize ...

Designing, building, and maintaining ETL/ELT data pipelines using Python and SQL * Migrating legacy ... Leveraging modern developer tools, including AI‑assisted coding tools , to improve efficiency

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Elt Developer information

Will AI replace ETL developer?

AI is unlikely to fully replace ETL developers, as their role involves designing, maintaining, and troubleshooting complex data pipelines that require domain knowledge and problem-solving skills. Instead, AI tools can assist ETL developers by automating routine tasks and optimizing processes, allowing them to focus on more strategic aspects of data integration and architecture.

What are the key skills and qualifications needed to thrive as an ELT Developer, and why are they important?

To thrive as an ELT Developer, you need strong proficiency in database management, data warehousing concepts, and programming languages such as SQL and Python, often supported by a degree in computer science or a related field. Familiarity with ETL/ELT tools like Informatica, Talend, Apache NiFi, or cloud-based platforms such as AWS Glue and Azure Data Factory is typically required. Analytical thinking, problem-solving skills, and effective communication help you understand complex data requirements and collaborate with cross-functional teams. These skills and qualities are critical to ensure efficient, accurate data integration and transformation processes that support business intelligence and decision-making.

What do ETL developers do?

ETL developers design, build, and maintain processes that extract data from various sources, transform it into a suitable format, and load it into data warehouses or databases. They use tools like SQL, Python, or specialized ETL software to ensure data quality, accuracy, and efficiency for analytics and reporting. Strong problem-solving skills and knowledge of data modeling are essential for this role.

Are ETL developers in demand?

ETL developers are in high demand due to the increasing need for data integration and management in organizations. They often work with tools like SQL, Python, and data warehousing platforms, and their skills are valuable across industries that rely on large-scale data processing and analytics.

What are ELT Developers?

ELT Developers are professionals who specialize in designing, building, and maintaining data pipelines using the Extract, Load, Transform (ELT) process. They extract data from various sources, load it into a data warehouse or data lake, and then transform it within the storage system to support analytics and business intelligence. ELT Developers work with tools and platforms such as SQL, cloud data warehouses (like Snowflake or BigQuery), and ETL/ELT frameworks to ensure data is accurate, accessible, and well-structured for analysis.

How do ELT Developers typically collaborate with data analysts and engineers on projects?

ELT Developers often work closely with data analysts to understand data requirements and ensure the transformed data meets analytical needs. They also partner with data engineers to design and optimize pipelines for efficient data extraction, loading, and transformation. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration. Clear communication and teamwork are essential, as ELT Developers serve as a bridge between raw data sources and actionable business insights.

What is the difference between Elt Developer vs Data Engineer?

AspectElt DeveloperData Engineer
Required CredentialsBachelor's in CS or related field, knowledge of XML, XSLT, scriptingBachelor's in CS, experience with databases, programming, ETL tools
Work EnvironmentContent management, language localization, data transformation projectsData pipeline development, large-scale data processing, infrastructure setup
Employer & Industry UsageTech companies, localization firms, e-learning providersFinance, healthcare, tech firms managing big data

While both roles involve working with data, Elt Developers focus on language data transformation and localization tasks, whereas Data Engineers build and maintain data pipelines for large-scale data processing. The roles share some technical skills but differ in scope and industry focus.

What engineering jobs pay $500,000?

Senior software engineers, data engineers, and specialized engineering roles such as machine learning engineers or cloud architects can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. These positions often require strong technical expertise, certifications, and sometimes leadership responsibilities or equity compensation.
What cities in Michigan are hiring for Elt Developer jobs? Cities in Michigan with the most Elt Developer job openings:
Sr. Data Engineer

Sr. Data Engineer

3Core Systems, Inc.

East Lansing, MI • On-site

$110K - $132K/yr

Contractor

Posted 12 days ago


Job description

Job Description
Job Title: Sr. Data Engineer - MS Fabric, ETL/ELT, Data Modelling, and Cloud platforms
Location: Lansing, MI (Onsite-Hybrid)
Duration: Long term contract
Mode of Interview: In-Person interview
Only candidates from these states will be considered: - MI, IL, OH & IN.
Job Description:
• Overall, 10 + years of experience and Azure Certification is MUST.
• We are looking for a hands-on Data Engineer with strong experience in MS Fabric, ETL/ELT, Data Modelling, and Cloud platforms.
• We are looking for someone who can work independently.
• Candidates with experience working in or leading junior teams would be a good fit.
• We mainly need someone who can communicate well, present their experience confidently, and perform strongly.
Required Skills:
• Strong T-SQL programming & SQL optimization.
• Experience with MS Fabric.
• Hands-on ETL / ELT development.
• Data Modelling expertise.
• Mandatory experience in at least one Cloud platform (Azure / AWS / GCP).
• Proven data orchestration experience.
• Ability to work independently.
Nice to Have:
• Python for data processing.
Skill Set
Azure, SQL, T-SQL, ETL, ELT, MS Fabric, Data modelling, Data orchestration, Cloud platform