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Etl Informatica Developer Remote Jobs in Minnesota

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

Design and orchestrate robust ETL/ELT processes and data integration workflows using tools like ... Partner with DevOps and Technology teams to automate infrastructure provisioning, CI/CD processes ...

Sr. Data Analyst | TELECOMMUTE

Minneapolis, MN · On-site +1

$89K - $113K/yr

Collaborating with Data Engineers on the data exports required from data pipelines * Analyzing data ... Advanced level of experience in ETL for visualization tools: complex formulas, complex inner and ...

Data Engineer with AI/ML

Minnetonka, MN · On-site +1

$72K - $130K/yr

... years of experience with ETL tools, workflow orchestration (Airflow), and data warehousing ... and DevOps practices * 6 months of experience with Generative AI frameworks/architectures ...

New

Senior Data Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

... DevOps) * Machine Learning & AI: ML models, GPT, NLP algorithms * 5 years of experience designing and implementing ETL frameworks for self-service analytics platforms using PySpark on Azure * 5 ...

Senior Data Analyst

Eden Prairie, MN · Remote

$87K - $110K/yr

Experience with data modeling and ETL (Extract, Transform, Load) processes * Experience working within a healthcare or highly regulated environment (e.g., CMS guidelines, quality reporting, STARS ...

Senior Data Analyst

Eden Prairie, MN · Remote

$91K - $163K/yr

Experience with data modeling and ETL (Extract, Transform, Load) processes * Experience working within a healthcare or highly regulated environment (e.g., CMS guidelines, quality reporting, STARS ...

VP of Finance

Maple Grove, MN · On-site +1

$180K - $210K/yr

... HRIS, etc.). * Partner with IT and data engineering resources to define the data architecture, ETL processes, data governance policies, and access controls. * Develop a BI reporting layer (e.g ...

IT Systems Engineer

Eagan, MN · On-site +1

$80K - $110K/yr

Perform remote site updates for self-hosted clients and assist customers with Site-to-Site VPN ... Configure and maintain DNS, firewalls, load balancers, and other networking components * Support on ...

Teamcenter Application Developer * Full Time * Remote or Hybrid The Teamcenter Application ... Reporting and data extraction/cleanup utilities * Develop and maintain Teamcenter user interfaces ...

Teamcenter Application Developer * Full Time * Remote or Hybrid The Teamcenter Application ... Reporting and data extraction/cleanup utilities * Develop and maintain Teamcenter user interfaces ...

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Etl Informatica Developer Remote information

See Minnesota salary details

$10

$58

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How much do etl informatica developer remote jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for etl informatica developer remote in Minnesota is $58.46, according to ZipRecruiter salary data. Most workers in this role earn between $50.14 and $65.91 per hour, depending on experience, location, and employer.

What does an ETL Informatica Developer do when working remotely?

An ETL Informatica Developer working remotely is responsible for designing, developing, and maintaining data extraction, transformation, and loading (ETL) processes using Informatica tools. They connect to various data sources, transform raw data into usable formats, and load it into data warehouses or other systems. Their daily tasks include collaborating with team members through virtual meetings, troubleshooting ETL workflows, and ensuring data integrity and performance, all while working from a remote location.

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

AspectEtl Informatica Developer RemoteData Warehouse Developer
Required CredentialsInformatica certifications, SQL, ETL tools knowledgeSQL, data modeling, sometimes Informatica certifications
Work EnvironmentRemote, collaborative teams, cloud-based toolsOn-site or remote, data-focused environment
Industry UsageFinance, healthcare, retail, techFinance, retail, healthcare, manufacturing
Common Search/ComparisonYesYes

The Etl Informatica Developer Remote and Data Warehouse Developer roles share similar skills like SQL and data modeling, often working in data-centric industries. While the Informatica developer focuses on ETL processes using Informatica tools, the Data Warehouse Developer may work on broader data architecture and database design. Both roles can be remote and require similar certifications, but their primary focus differs: ETL process automation versus data warehouse design and maintenance.

What are some common challenges ETL Informatica Developers face when working remotely, and how can they be addressed?

Remote ETL Informatica Developers often face challenges such as coordinating with distributed teams across different time zones, ensuring secure access to sensitive data, and troubleshooting complex data issues without immediate onsite support. To address these, it's important to establish clear communication channels, use secure VPNs or remote desktop solutions for accessing development environments, and participate in regular virtual meetings to stay aligned with project goals. Leveraging collaborative tools and maintaining thorough documentation also helps in overcoming remote work obstacles and ensures smooth project delivery.

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

To thrive as an ETL Informatica Developer (Remote), you need strong SQL skills, data warehousing knowledge, and experience with Informatica PowerCenter, typically supported by a degree in computer science or a related field. Familiarity with databases like Oracle or SQL Server, version control systems, and certifications such as Informatica Certified Professional are commonly required. Attention to detail, problem-solving ability, and effective remote communication skills set top performers apart in this role. These skills ensure efficient data integration, high-quality deliverables, and smooth collaboration in distributed teams.

How to Become a Remote ETL Informatica Developer

The qualifications that you need to start working as a remote ETL Informatica developer include computer and database maintenance skills and an understanding of Informatica software and Extract Transform Load (ETL) processes. Most employers expect at least a bachelor’s degree in computer science or computer information systems. These positions also require SQL programming abilities. Informatica also offers professional certifications. You can pursue specialist certification as an Informatica PowerCenter Developer, an Informatica PowerCenter Administrator, or developer who specializes in data quality.

What are popular job titles related to Etl Informatica Developer Remote jobs in Minnesota? For Etl Informatica Developer Remote jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Etl Informatica Developer Remote jobs in Minnesota look for? The top searched job categories for Etl Informatica Developer Remote jobs in Minnesota are:
Infographic showing various Etl Informatica Developer Remote job openings in Minnesota as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $121,591 per year, or $58.5 per hour.
Data Engineer

Data Engineer

Ryan Companies

Minneapolis, MN • On-site, Remote

$90K - $113K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Job Description:

Ryan Companies has an immediate need for a Data Engineer. This is an IN-OFFICE opportunity (4 days per week, 1 day work-from-home) in our Minneapolis headquarters office.

The Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies. This role will focus on developing scalable, reliable data pipelines that ensure the quality, accessibility, and performance of data used across all of Ryan.


The successful candidate will work cross-functionally with data architects, AI/ML engineers, data scientists, analysts, and domain experts to design and implement modern data engineering solutions.

What you can expect to do:

Data Architecture and Modeling

  • Architect, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), utilizing services like BigQuery, Dataflow, and Cloud Storage to handle diverse data sources (e.g., project systems, safety logs, IoT/sensor data).

  • Design and implement effective data models, including star schemas and dimensional modeling, to support business intelligence and analytics.

  • Develop and manage data solutions to ensure efficient data storage, retrieval, and cost-effectiveness.

  • Contribute to metadata management, data cataloging, and lineage tracking to enhance the discovery and transparency of enterprise data assets.

Data Pipeline Development and Management

  • Design and orchestrate robust ETL/ELT processes and data integration workflows using tools like Cloud Composer or Apache Airflow.

  • Implement and manage both batch and real-time data streaming pipelines to ensure timely and accurate data availability for downstream applications.

  • Write clean, efficient, and well-documented Python and SQL code to process and transform large, complex datasets.

  • Monitor, troubleshoot, and optimize data pipeline performance, identifying and resolving bottlenecks to improve efficiency and scalability.

Data Quality and Governance

  • Implement and maintain data quality frameworks to ensure the accuracy, consistency, and reliability of data across all systems.

  • Develop and implement data validation and testing procedures to maintain the highest standards of data integrity.

  • Establish and enforce data governance policies and best practices, ensuring all data handling is secure, private, and compliant with regulations.

Platform Engineering and Automation

  • Build and maintain CI/CD pipelines for the automated testing and deployment of data engineering workflows.

  • Support the deployment and monitoring of machine learning models by implementing reproducible and traceable data environments.

  • Partner with DevOps and Technology teams to automate infrastructure provisioning, CI/CD processes, and data quality monitoring.

Collaboration and Leadership

  • Partner with Enterprise Architects, Solution Architects, data scientists, and analysts to understand data needs, design technical solutions, and translate business requirements into architectural designs.

  • Lead the implementation of data solutions, from discovery and design through to deployment.

  • Collaborate with other data engineers, fostering a culture of knowledge sharing and continuous improvement.

  • Create and maintain clear documentation for architecture, schemas, and pipeline workflows to support team knowledge and onboarding.

What we expect you should have:

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.

  • 3+ years of professional experience in data engineering or a similar role.

  • Strong programming skills in Python, SQL, with experience using tools such as Cloud Composer.

  • Proven experience designing and maintaining data pipelines using platforms such as GCP, AWS, Azure or similar.

Preferred Skills:

  • Experience building data infrastructure and services in cloud-native environments (GCP preferred).

  • Exposure to domain-driven architecture.

  • Strong collaboration and communication skills with a track record of partnering across functions to deliver high-impact solutions.

Compensation:

The base pay range is $90,000-$113,000/Annually. The salary may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission and/or an incentive program.

Eligibility:

Position requires verification of employment to work in the U.S.

Benefits:

  • Competitive Salary

  • Medical, Dental and Vision Benefits

  • Retirement and Savings Benefits

  • Flexible Spending and Health Savings Accounts

  • Life Insurance

  • Short-Term and Long-Term Disability

  • Educational Assistance

  • Paid Time Off (PTO)

  • Employee Assistance and Wellness Programs

  • Parenting Benefits

  • Employee Discount Programs

  • Pet insurance

  • Ryan Foundation - charitable matching funds

  • Paid Time for Volunteer Events

Disclaimer: Eligibility may vary based on factors such as role, hours worked, employment status, length of service, location, and other considerations. Detailed information will be shared with eligible candidates during the hiring process, and the official terms and conditions will be outlined in each individual offer document.

Ryan Companies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Notice to Candidates:

Please be advised that initial outreach regarding employment at Ryan Companies will only occur via email from the domain @ryancompanies.com email address. If you recieve communication from someone you believe is impersonating Ryan Companies, please report it to us at humanresources@ryancompanies.com

Non-Solicitation Notice to Recruitment Agencies:

Ryan Companies kindly requests that recruitment agencies and third-party recruiters do not submit unsolicited resumes or candidate information to any Ryan Companies employee or office. Ryan Companies will not be responsible for any fees or expenses associated with unsolicited submissions. If recruitment services are required, we will reach out directly to agencies on our approved vendor list. We appreciate your understanding and cooperation.