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Elt Developer Jobs in Michigan (NOW HIRING)

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role ... Familiarity with ELT/ETL processes and data warehousing best practices. * Experience working with ...

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role ... Familiarity with ELT/ETL processes and data warehousing best practices. * Experience working with ...

... L/ELT, distributed processing, data governance) • Bachelor's degree or foreign equivalent ... DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools. Company

Azure Databricks Engineer

Ann Arbor, MI · On-site

$95K - $130K/yr

... L/ELT, distributed processing, data governance) • Bachelor's degree or foreign equivalent ... DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools. Company

Data Platform Engineer

Farmington, MI · On-site

$112K - $135K/yr

Build robust and scalable data ingestion pipelines using modern ELT/ETL patterns. * Develop Python ... Experience implementing CI/CD pipelines and DevOps practices. * Experience with Git version control ...

Data Platform Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Build robust and scalable data ingestion pipelines using modern ELT/ETL patterns. * Develop Python ... Experience implementing CI/CD pipelines and DevOps practices. * Experience with Git version control ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... L/ELT pipelines for data ingestion, processing, and storage - Developing and deploying scalable ...

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

Job Summary We are seeking an experienced Senior Report Developer to serve as a Data Analyst and ... Develop robust ETL/ELT workflows , ensuring data quality, governance, security, and compliance ...

Data Engineer

Detroit, MI

$108K - $129K/yr

Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform health ... Ensure sensitive data is not exposed to unapproved AI models, developer tools, repositories, logs ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... L/ELT pipelines for data ingestion, processing, and storage - Developing and deploying scalable ...

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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:
Analytics Engineer/Data Analyst

Analytics Engineer/Data Analyst

DATAMAXIS

Okemos, MI • On-site

Contractor

Posted 12 days ago


Job description

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role, you will be responsible for building and maintaining scalable analytics data pipelines, transforming raw data into reliable analytics-ready datasets, and supporting business reporting through robust dashboards and data models.
The ideal candidate has strong expertise in SQL, Snowflake, dbt, and Tableau, along with a solid understanding of data modeling, data quality, and modern analytics engineering practices.
Key Responsibilities
  • Design, build, and maintain scalable data models and analytics pipelines using Snowflake and dbt.
  • Develop, optimize, and maintain SQL-based transformations and reporting datasets.
  • Support and enhance Tableau dashboards, reports, and data sources.
  • Monitor, validate, and improve data quality across analytics workflows.
  • Investigate and resolve data pipeline issues, discrepancies, and reporting challenges.
  • Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable data solutions.
  • Create and maintain documentation for data models, business logic, transformations, and validation processes.
  • Contribute to best practices for analytics engineering, data governance, and reporting standards.
Required Qualifications
  • Strong proficiency in SQL for data transformation, analysis, and reporting.
  • Hands-on experience with Snowflake and dbt.
  • Experience developing or supporting Tableau dashboards and reporting solutions.
  • Strong understanding of data modeling concepts and analytics data architecture.
  • Experience with data validation, quality assurance, and troubleshooting data issues.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently and manage deliverables in a contract environment.
Preferred Qualifications
  • Experience with modern data stack tools and end-to-end analytics workflows.
  • Familiarity with ELT/ETL processes and data warehousing best practices.
  • Experience working with cross-functional business and technical teams.
  • Exposure to cloud-based analytics ecosystems and reporting platforms.

DATAMAXIS logo

About DATAMAXIS

Sourced by ZipRecruiter

Datamaxis is passionate about making our clients win. As a trusted partner, we will bring innovative solutions, technical expertise in Data, cyber security analytics, strategic staffing and AI/ML to help create value (ROI) for our clients, stay competitive and operationally efficient.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Reston, VA, US

Year founded

2003