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Etl Informatica Developer Jobs in Rochester Hills, MI

Saransh Inc

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.

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

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 ...

LRS

Data Architect

Auburn Hills, MI

$40 - $60/hr

Provide technical guidance and knowledge sharing to data engineers, ETL developers, and cross ... information, citizenship, status or protected veteran status. In some cases, Codeworks, an LRS ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ...

Very Stable, U.S. based manufacturing company with customers in various industries.

Be Seen First

Metrology Data Engineer, CNC or Similar machining-tooling systems Data

Troy, MI · On-site

$110K - $145K/yr

Build & Maintain Metrology ETL Pipelines: Design and deploy automated data extraction ... Partner with Machine R&D Engineering to standardize output schemas and implement Model-Based ...

360 IT Professionals

Java Developer

Dearborn, MI

$46.75 - $60.75/hr

... end automation of ETL process for various datasets that are being ingested into the big data ... information will be kept confidential according to EEO guidelines.

US Tech Solutions

Developer II

Detroit, MI · On-site

ESB (IBM): * ETL (Business Objects preferred): * Ability to create design artifacts: Application ... Information Ritika Bharti USTechSolutions Phone No. #201-932-0831

Diverse Lynx

Gen AI Engieer

Detroit, MI · Hybrid

... , ETL, Distributed Systems, React JS, Django, Flask Nice to have skills Prompt Engineering, React.js, Kafka, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Databases (PostgreSQL, MongoDB ...

krg technology inc

Big data Tester

Detroit, MI · On-site

... ETL developers, and other stakeholders on requirements and design Develop scalable and reusable ... Informatica is a plus Experience working on an Agile team using test driven development Strong ...

Saanvi Technologies

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

... • Design and maintain ETL pipelines and API integrations (REST/SOAP) • Translate union ... Additional Information : Hybrid 4 days a week onsite Primary Skills Required: • Enterprise WFM ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$140K - $184K/yr

Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ... Develop and maintain applications using Data warehousing, ETL, Informatica IICS with Teradata ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

Design, develop & test data pipelines, integrations to source mgt & ETL / ELT processes to move ... Informatica); • Databases: SQL & relational/non-relational (SQL Server, Oracle, PostgreSQL ...

Eccalon LLC

Database Engineer - onsite

Detroit, MI · On-site

Support and optimize ELT/ETL pipelines feeding the data warehouse * Collaborate with data engineers ... Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or ...

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All JobsEtl Informatica Developer JobsEtl Informatica Developer Jobs in Rochester Hills, MI

Etl Informatica Developer information

See Rochester Hills, MI salary details

$9

$53

$65

How much do etl informatica developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for etl informatica developer in Rochester Hills, MI is $53.70, according to ZipRecruiter salary data. Most workers in this role earn between $48.22 and $61.97 per hour, depending on experience, location, and employer.

What is the ETL?

ETL stands for Extract, Transform, Load and is a process used by ETL Informatica Developers to move data from source systems to target data warehouses. It involves extracting data from various sources, transforming it to meet business rules, and loading it into a database for analysis. Proficiency in tools like Informatica PowerCenter and understanding of data integration concepts are essential for this role.

What is an ETL Informatica Developer?

An ETL Informatica Developer is a professional who designs, develops, and maintains data integration solutions using Informatica tools. They are responsible for extracting data from various sources, transforming the data into a suitable format, and loading it into target systems such as data warehouses. Their role is critical in ensuring data quality, consistency, and reliability across enterprise systems. ETL Informatica Developers often work closely with data analysts, database administrators, and business stakeholders to support data-driven decision-making. They also troubleshoot and optimize ETL processes to enhance performance and efficiency.

What is the difference between Etl Informatica Developer vs Data Warehouse Developer?

AspectEtl Informatica DeveloperData Warehouse Developer
Primary FocusDesigning and implementing ETL processes using Informatica toolsDesigning, developing, and maintaining data warehouse architectures
Required SkillsInformatica PowerCenter, SQL, data modelingData modeling, SQL, ETL processes, data warehousing concepts
CertificationsInformatica certifications often preferredData warehousing certifications may be advantageous
Work EnvironmentTypically in BI or data integration teams within various industriesOften in analytics, BI, or data engineering teams across industries

While both roles involve working with data integration and warehousing, an Etl Informatica Developer specializes in creating ETL workflows using Informatica tools, whereas a Data Warehouse Developer focuses on designing and maintaining the overall data warehouse architecture. The roles often overlap but differ in scope and specific skill sets.

Will AI replace ETL?

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

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

To thrive as an ETL Informatica Developer, you need strong skills in data warehousing, SQL, and ETL processes, typically supported by a degree in computer science or a related field. Proficiency with Informatica PowerCenter, relational databases, and experience with data integration tools and scripting languages are essential. Analytical thinking, problem-solving, and effective communication make someone stand out in this position. These skills ensure accurate, efficient data transformation and integration, which are critical for supporting business intelligence and analytics objectives.

What Does an ETL Informatica Developer Do?

An ETL Informatica developer is in charge of the complete development lifecycle of software that uses Informatica tools to store data. Your duties in this career are to design, configure, develop, and write code and implement programs while monitoring the integrity of the data you manage. Your responsibilities include integrating Informatica systems, working with extract transform load (ETL) systems, conducting business data analysis, writing technical design specifications, providing updates and maintenance, and troubleshooting and testing program issues. As an ETL Informatica developer, you also work with large databases, conduct data quality tests, check data security, and ensure all processes flow smoothly.

What does ETL mean?

ETL stands for Extract, Transform, Load, which are the three main steps in data integration processes used by ETL Informatica Developers. It involves extracting data from source systems, transforming it into a suitable format, and loading it into a target data warehouse or database. Proficiency in ETL tools like Informatica PowerCenter is essential for this role.

What is an ETL in SQL?

An ETL (Extract, Transform, Load) process in SQL involves extracting data from source systems, transforming it to fit business rules or improve data quality, and loading it into a target database or data warehouse. ETL developers often use SQL scripts and tools to automate these steps, ensuring efficient data integration for analytics and reporting.

What are some common challenges faced by ETL Informatica Developers during data integration projects?

ETL Informatica Developers often encounter challenges such as handling large volumes of data, ensuring data quality and consistency, and meeting tight project deadlines. They may also need to troubleshoot performance bottlenecks in ETL workflows and manage complex data transformations to meet business requirements. Collaboration with data analysts, database administrators, and business stakeholders is key to resolving issues quickly and delivering reliable data pipelines.
More about Etl Informatica Developer jobs
What cities near Rochester Hills, MI are hiring for Etl Informatica Developer jobs? Cities near Rochester Hills, MI with the most Etl Informatica Developer job openings:
Etl Informatica Developer jobs near you
Infographic showing various Etl Informatica Developer job openings in Rochester Hills, MI as of June 2026, with employment types broken down into 3% Internship, 51% Full Time, 33% Part Time, 3% Temporary, 7% Contract, and 3% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $111,698 per year, or $53.7 per hour.

GCP Data Engineer with Python

Saransh Inc

Dearborn, MI • On-site

$105K - $126K/yr

Contractor

Posted 22 days ago

Job description

Role: GCP Data Engineer with Python
Location: Dearborn, MI (4 days a week onsite)
Job Type: Contract
 
Experience: Overall 8 to 12 years

Job Summary:
  • The Data Engineer will be responsible for supporting the Credit Global Securitization (GS) team’s upskilling initiative by contributing to data engineering efforts across cloud and traditional platforms.
  • This role is intended to accelerate development and delivery.
  • The engineer will work closely with cross-functional teams to build, optimize, and maintain data pipelines and workflows using GCP, Python, and ETL tools.

Required Technical Skills:
  • Minimum 3+ years of hands-on experience with Google Cloud Platform (GCP), specifically using Astronomer/Composer for orchestration.
  • Strong proficiency in Python for data engineering and automation.
  • Experience with RDBMS technologies such as DB2 and Teradata.
  • Exposure to Big Data ecosystems and distributed data processing.

Nice to have Technical Skills:
  • 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.
  • The engineer will work with GCP tools like Astronomer/Composer and leverage Python for automation and transformation tasks.
  • The role involves integrating data from RDBMS platforms such as DB2 and Teradata, and supporting ETL processes using tools like DataStage or Informatica.
  • The engineer will collaborate with existing team members, including Software Analysts and Scrum Masters, and will be expected to contribute to knowledge sharing and process improvement.
     
Specifically:
  • Develop and implement solutions using GCP, Python, Big Data technologies to enhance data analysis capabilities.
  • Collaborate with cross-functional teams to design and optimize data models in Teradata and DB2 environments.
  • Utilize Python for scripting and automation to streamline geospatial data processing tasks.
  • Integrate and manage data workflows using Cloud Composer to ensure efficient data pipeline operations.
  • Leverage GCP Cloud to deploy scalable applications and services.