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Etl Informatica Developer Jobs in Rochester Hills, MI

Programmers.io

Senior Databricks Architect

Detroit, MI · On-site

$64 - $84.25/hr

Lead the full Oracle → Databricks migration including schema translation, ETL/ELT logic ... Establish development best practices, coding standards, CI/CD, and DevOps/DataOps patterns.

Dminds Solutions Inc.

Databricks Lead/Architect

Detroit, MI

$50.50 - $69.25/hr

Lead the full Oracle Databricks migration including schema translation, ETL/ELT logic modernization ... Provide technical mentorship and create training plans for engineering teams. Contribute to ...

Stem Xpert

IT Manager

Detroit, MI · On-site

$94K - $115.30K/yr

Coordinates ETL / reporting solution architecture implementation and modification activities ... Systems, Computer Engineering, Systems Analysis or a related field required. Masters degree ...

Atwell, LLC

Enterprise Data Engineer

Southfield, MI · On-site

$92K - $120K/yr

... ETL processes and modern data platforms (Microsoft Fabric, Azure Data Factory, Synapse, or similar). * BI : Familiarity with Power BI data models and analytics environments. * DevOps Mindset: Basic ...

MM International

DevOps Senior Specialist

Dearborn, MI · On-site

$119.40K - $153.40K/yr

Experience Preferred: · 2+ years mentoring engineers · In-depth software engineering knowledge · Experience working with BI, ETL, Data Management tools (Informatica, IBM DataStage, QLIK, Looker ...

Raymondjames

Lead Cloud Data Engineer

Southfield, MI · Hybrid

$94K - $123.80K/yr

Design and develop scalable ETL pipelines using AWS Glue and PySpark. * Integrate data from various ... Developer AWS Certified Machine Learning Education Bachelor's: Computer and Information Science ...

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How much do etl informatica developer jobs pay per hour?

As of May 30, 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 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 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 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.

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.

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 May 2026, with employment types broken down into 70% Full Time, 26% Part Time, and 4% Contract. Highlights an 29% Physical, 42% Hybrid, and 29% Remote job distribution, with an average salary of $111,698 per year, or $53.7 per hour.
Senior Databricks Architect

Senior Databricks Architect

Programmers.io

Detroit, MI • On-site

$64 - $84.25/hr

Contractor

Posted 26 days ago

Job description

Job Overview

We are looking for a highly senior, deeply hands on Databricks Architect to lead a large‑scale Oracle‑to‑Databricks migration, covering schema migration, code conversion, and ODI job modernization. The ideal candidate has extensive experience building enterprise-grade data platforms on Databricks, has executed at least one greenfield Databricks implementation, and is exceptionally strong in PySpark, Spark SQL, framework development, and Databricks Workflows.

Key Responsibilities

  • Architect, design, and implement cloud-native data platforms using Databricks (ingestion → transformation → consumption).
  • Lead the full Oracle → Databricks migration including schema translation, ETL/ELT logic modernization, and ODI job replacement.
  • Develop reusable PySpark frameworks, data processing patterns, and orchestration using Databricks Workflows.
  • Build scalable, secure, and cost‑optimized Databricks infrastructure and data pipelines.
  • Collaborate with business and technical stakeholders to drive data modernization strategy.
  • Establish development best practices, coding standards, CI/CD, and DevOps/DataOps patterns.
  • Provide technical mentorship and create training plans for engineering teams.
  • Contribute to building MLOps and advanced operations frameworks.

Required Qualifications

  • 14+ years in Data Engineering/Architecture with at least 4+ years hands-on Databricks experience delivering end‑to‑end cloud data solutions.
  • Strong experience migrating from Oracle/on‑prem systems to Databricks, including SQL, PL/SQL, ETL logic, and ODI pipelines.
  • Deep hands-on expertise in:
    • PySpark, Spark SQL, Delta Lake, Unity Catalog
    • Building reusable data frameworks
    • Designing high‑performance batch and streaming pipelines
  • Proven experience with greenfield Databricks implementations.
  • Strong understanding of cloud-native architectures on AWS and modern data platform concepts.
  • Solid knowledge of data warehousing, columnar databases, and performance optimization.
  • Good understanding of Agile/Scrum development processes.
  • Bonus: Experience designing Data Products, Data Mesh architectures, Data Vault or enterprise data governance models.
  • Good Understanding of Golde Gate.