ZipRecruiter

Log In

1

Etl Informatica Developer Jobs in Madison, WI (NOW HIRING)

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Design, develop, and maintain robust and efficient ETL/ELT pipelines and processes on Databricks ... Communicate technical information clearly and concisely, both verbally and in writing, to technical ...

Bespoke Labs

Data Engineer

Whitewater, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bakertilly

Associate Data Engineer

Madison, WI

$85K - $162K/yr

Develop scalable, welldocumented ETL/ELT pipelines using TSQL, Python, Azure Data Factory/Fabric ... Qualifications: - Education - Bachelor's in Computer Science, Information Systems, Engineering, or ...

Bakertilly

Data Solution Architect

Madison, WI

$123K - $234K/yr

... engineering solutions using the Microsoft Analytics ecosystem. * Develop and maintain data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes for structured and ...

Robert Half

Solutions Architect (Cloud)

Madison, WI · On-site

$155K - $175K/yr

... ETL/ELT solutions. * Provide technical leadership, architectural guidance, and mentorship across engineering teams. * Evaluate emerging technologies and recommend improvements to architecture and ...

Exact Sciences

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Python, Scala, SQL development. * ETL data pipelines. * Designing and implementing data modeling ...

next page

Showing results 1-20

All JobsEtl Informatica Developer JobsEtl Informatica Developer Jobs in Madison, WI

Etl Informatica Developer information

See Madison, WI salary details

$10

$58

$71

How much do etl informatica developer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for etl informatica developer in Madison, WI is $58.80, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $67.84 per hour, depending on experience, location, and employer.

Is informatica still in demand?

Etl Informatica Developers are still in demand due to ongoing data integration needs across industries. Proficiency in Informatica PowerCenter, data warehousing, and related tools remains valuable as organizations prioritize data management and analytics capabilities.

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.

Are ETL developers in demand?

ETL Informatica developers are in high demand due to the increasing need for data integration and management in organizations. Their skills in designing and maintaining data pipelines, along with proficiency in tools like Informatica, SQL, and data warehousing, make them valuable in various industries seeking to optimize data workflows.

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.

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 is the role of ETL informatica developer?

An ETL Informatica Developer designs, develops, and maintains data integration workflows using Informatica PowerCenter to extract, transform, and load data from various sources into target systems. They ensure data quality, optimize performance, and may work with SQL, data modeling, and related tools in a data warehousing environment.

What is the salary of informatica ETL developer?

The salary of an Informatica ETL developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in data warehousing and cloud platforms may earn higher salaries.

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 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 are popular job titles related to Etl Informatica Developer jobs in Madison, WI? For Etl Informatica Developer jobs in Madison, WI, the most frequently searched job titles are:
Etl Informatica Developer jobs near you
Sr. Data Engineer

Sr. Data Engineer

AgSource

Madison, WI • On-site

$114K - $137K/yr

Full-time

Re-posted 14 days ago

Job description


This role is responsible for the design, development, and maintenance of data integration, analytics, and reporting solutions that support our animal genetics and bioinformatics workloads. The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other omics datasets. This position requires a proactive, self-motivated, and results-oriented individual with a passion for data, a strong understanding of data architecture and warehousing principles, and an appreciation for bioinformatics workflows in a commercial genetics environment.
Responsibilities
Data Integration
  • Design, develop, and maintain robust and efficient ETL/ELT pipelines and processes on Databricks for both operational and bioinformatics datasets (e.g., genomic markers, phenotypic data, laboratory outputs).
  • Ingest, transform, and harmonize structured and semi-structured biological data from lab systems, LIMS, sequencing platforms, and external partners into the enterprise data platform.
  • Troubleshoot and resolve Databricks pipeline errors and performance issues.
  • Optimize data flow performance and minimize data latency across scientific and business use cases.
  • Implement data quality checks, validations, and reconciliation processes within ETL workflows, including domain-specific checks for genomic and phenotypic data.

Databricks Development
  • Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL.
  • Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads.
  • Integrate Databricks with other data sources and systems, including lab instruments, genomic databases, and on-prem or cloud data stores.
  • Participate in the design and implementation of data lake architectures that support both traditional analytics and bioinformatics pipelines.

Data Warehousing
  • Participate in the design and implementation of data warehousing solutions to support reporting, analytics, and scientific modeling.
  • Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals, pedigrees, genotypes, breeding values, trials).
  • Support data quality initiatives and implement data cleansing procedures across business and scientific domains.

Reporting and Analytics
  • Collaborate with business users, scientists, geneticists, and bioinformaticians to understand data requirements for department-driven reporting and analytics needs.
  • Maintain and extend the existing library of complex dashboards and visualizations to surface genetic, reproductive, and operational insights.
  • Enable self-service analytics for R&D and product teams by exposing well- governed, documented data products.
  • Troubleshoot and resolve report issues, including performance bottlenecks and data inconsistencies.

Cloud Platform Experience
  • Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics workflows.
  • Use CI/CD and IaC tools (Terraform, ARM, CloudFormation) to automate deployment of data platform components and analytics environments.
  • Design and implement Databricks platform architecture on Azure and AWS infrastructure, including environments that support largescale scientific computation.
  • Contribute to cloud security, governance, and cost optimization practices for data and bioinformatics workloads.

Bioinformatics and Scientific Collaboration
  • Partner with geneticists, biostatisticians, and bioinformaticians to translate scientific requirements into scalable data and platform architectures.
  • Support or orchestrate bioinformatics pipelines (e.g., variant processing, quality control, annotation, genotype imputation, genomic evaluation) using cloud and Databricks capabilities.
  • Ensure that data models, pipelines, and storage structures meet the needs of downstream analytics, predictive models, and genetic evaluations.
  • Advocate for best practices in managing sensitive biological and genetic data, including data governance, access control, and compliance with relevant standards and regulations.

Collaboration and Communication
  • Thrive in an entrepreneurial, self-starting, and fast-paced environment, working both independently and with our highly skilled teams.
  • Collaborate effectively with business users, data analysts, scientists, and other IT teams.
  • Communicate technical information clearly and concisely, both verbally and in writing, to technical and nontechnical stakeholders.
  • Document all development work, data models, and procedures thoroughly, including bioinformatics and scientific data flows.

Continuous Growth
  • Keep abreast of the latest advancements in data integration, cloud platforms, bioinformatics tooling, and data engineering technologies.
  • Continuously improve skills and knowledge through training and self-learning in both data engineering and bioinformatics domains.

Requirements
  • Bachelor's degree in Computer Science, Information Systems, Bioinformatics, Computational Biology, or a related field; a Master's degree is an asset.
  • 7+ years of experience in data integration and reporting, with experience designing and operating cloud-based data platforms.
  • Extensive experience with Databricks, including Python, Spark, and Delta Lake.
  • Strong proficiency with relational databases (e.g., SQL Server, RDS), including TSQL, stored procedures, and functions.
  • Experience with data warehousing concepts and best practices.
  • Experience with Microsoft Azure cloud platform; exposure to Microsoft Fabric is desirable.
  • Hands on experience working with biological, genomic, or other omics datasets in a bioinformatics or life sciences setting (e.g., sequence data, SNP arrays, GWAS outputs, phenotypic traits).
  • Familiarity with common bioinformatics tools, data formats (e.g., FASTQ, VCF, PLINK), and workflows is highly desirable.
  • Strong analytical and problem-solving skills, with the ability to reason about complex data and scientific requirements.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a cross-functional team across IT, science, and business.
  • Experience with Agile methodologies.
  • Demonstrated background in bioinformatics or computational biology, preferably supporting genetics, breeding, or life science research in an applied or commercial context.
  • Must be legally authorized to work in the United States.

About Us
As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

Apply