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Senior Observability Engineer Jobs in Minnesota (NOW HIRING)

Target

Senior AI Engineer - Circlecard

Minneapolis, MN · On-site

$98K - $176K/yr

Improving API performance, scalability, resiliency, and observability to support significant ... As a Senior AI Engineer,you'llhelp shape the future of enterprise software engineering by combining ...

Target

Sr Engineer - US

Minneapolis, MN · On-site +1

$98K - $176K/yr

We are seeking a Senior Software Engineer who brings curiosity, craftsmanship, and technical depth ... Experience implementing or instrumenting observability frameworks such asOpenTelemetryfor metrics ...

Blank Metal Inc

Senior AI Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

Our team of seasoned engineers, designers, and strategists work across industries to create AI ... Build observability and evaluation frameworks * Partner with product and client teams to translate ...

Abotts Inc

Senior AI Engineer

Eden Prairie, MN · On-site

$120 - $160/hr

Position Summary Shutterfly is seeking a Senior AI Engineer (Contractor) to accelerate the design ... Experience with LLM evaluation frameworks, observability (LangSmith, Azure AI Foundry evaluations ...

US Bank

Senior AI Platform Engineer

Hopkins, MN · On-site

$56 - $72.25/hr

Job Summary The Senior Engineer (Generative AI) is responsible for designing, developing, and ... Familiarity with observability and monitoring tools * Understanding of AI governance, compliance ...

US Bank

Senior AI Platform Engineer

Minneapolis, MN · On-site

$57.75 - $74.25/hr

Job Summary The Senior Engineer (Generative AI) is responsible for designing, developing, and ... Familiarity with observability and monitoring tools * Understanding of AI governance, compliance ...

THOMSON REUTERS

Senior Inference Engineer - AI

Eagan, MN · Hybrid

$106K - $146K/yr

Implement observability and health monitoring for inference pipelines, ensuring reliability of ... role, Senior Inference Engineer, AI , if your background includes: * 5+ years of relevant ...

Thomson Reuters

Senior Inference Engineer - AI

Eagan, MN · On-site

$106K - $146K/yr

Implement observability and health monitoring for inference pipelines, ensuring reliability of ... role, Senior Inference Engineer, AI , if your background includes: * 5+ years of relevant ...

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Senior Observability Engineer information

What is a senior observability engineer?

A Senior Observability Engineer is a seasoned IT professional responsible for designing, implementing, and maintaining systems that monitor and provide insights into the performance, health, and reliability of software applications and infrastructure. They utilize tools for logging, monitoring, tracing, and alerting to ensure that systems are observable and any issues can be quickly detected and resolved. In addition to technical expertise, they often collaborate with development and operations teams to establish best practices, improve incident response, and optimize system performance. Their work is crucial for maintaining uptime, enhancing customer experiences, and supporting the scalability of technology platforms.

How does a senior observability engineer typically collaborate with development and operations teams?

A Senior Observability Engineer works closely with both development and operations teams to ensure robust monitoring, logging, and tracing solutions are in place across all applications and infrastructure. They often participate in architecture discussions to advise on best practices for instrumenting code and systems for observability. By analyzing metrics and alerting patterns, they help teams proactively resolve issues and optimize system performance. This role also involves mentoring engineers on observability tools and fostering a culture of transparency and accountability in incident response.

What is the difference between Senior Observability Engineer vs Site Reliability Engineer?

AspectSenior Observability EngineerSite Reliability Engineer
CredentialsExperience with monitoring tools, scripting, cloud platformsSame as Senior Observability Engineer, often with SRE certifications
Work EnvironmentFocus on monitoring, logging, and tracing systemsFocus on system reliability, automation, and incident response
Industry UsageUsed in tech companies emphasizing system observabilityCommon in large-scale tech and cloud services
Search/Comparison IntentOften compared for monitoring rolesCompared for reliability and system stability roles

While both roles require expertise in cloud platforms and scripting, the Senior Observability Engineer primarily focuses on designing and maintaining monitoring, logging, and tracing systems to ensure system visibility. In contrast, a Site Reliability Engineer emphasizes system reliability, automation, and incident management to maintain service uptime. Both roles are vital in tech environments but serve different core functions related to system health and stability.

What are the key skills and qualifications needed to thrive as a senior observability engineer, and why are they important?

To thrive as a Senior Observability Engineer, you need expertise in monitoring, logging, and tracing systems, with a solid background in computer science or a related field. Familiarity with tools like Prometheus, Grafana, ELK stack, and cloud platforms, as well as certifications such as AWS Certified DevOps Engineer, are typically required. Strong problem-solving, collaboration, and communication skills are critical for effectively diagnosing and resolving complex infrastructure issues. These skills ensure reliable system performance, rapid incident response, and continuous improvement of the technology environment.
What are the most commonly searched types of Observability Engineer jobs in Minnesota? The most popular types of Observability Engineer jobs in Minnesota are:
What are popular job titles related to Senior Observability Engineer jobs in Minnesota? For Senior Observability Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Senior Observability Engineer jobs in Minnesota look for? The top searched job categories for Senior Observability Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Senior Observability Engineer jobs? Cities in Minnesota with the most Senior Observability Engineer job openings:
Senior Observability Engineer jobs near you
Infographic showing various Senior Observability Engineer job openings in Minnesota as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Data Engineer - Corporate Office (Austin, MN preferred)

Hormel Foods

Austin, MN • On-site

$119K - $167K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Hormel Foods rating

7.3

Company rating: 7.3 out of 10

Based on 98 frontline employees who took The Breakroom Quiz

178th of 436 rated food and drinks producers

Job description


SENIOR DATA ENGINEER - CORPORATE OFFICE (AUSTIN, MN PREFERRED)
HORMEL FOODS CORPORATION
To save time applying, Hormel Foods does not offer sponsorship of job applicants for employment-based visas for this position at this time.
ABOUT HORMEL FOODS
Hormel Foods Corporation, based in Austin, Minnesota, is a global branded food company with approximately $12 billion in annual revenue across more than 80 countries worldwide. Its brands include Planters®, Skippy®, SPAM®, Hormel® Natural Choice®, Applegate®, Wholly®, Hormel® Black Label®, Columbus®, Jennie-O® and more than 30 other beloved brands. The company is a member of the S&P 500 Index and the S&P 500 Dividend Aristocrats, was named one of the best companies to work for by U.S. News & World Report, one of America's most responsible companies by Newsweek, recognized by TIME magazine as one of the World's Best Companies, and has received numerous other awards and accolades for its corporate responsibility and community service efforts. For more information, visit www.hormelfoods.com.
RESPONSIBILITIES:
As a Senior Data Engineer, you will lead the Supply Chain Data Engineering team responsible for delivering curated data assets, data pipelines, dimensional models, semantic models, and foundational data capabilities that support planning, procurement, manufacturing, inventory, logistics, and transportation across Hormel Foods.
This role plays a key part in advancing our Enterprise Data Foundation by leveraging technologies Google Cloud Platform (GCP), BigQuery, Composer (Airflow), enterprise Python-based ingestion and orchestration capabilities, Incorta, and enterprise semantic layer technologies. This role will help bridge Hormel's modern cloud data ecosystem and legacy enterprise data platforms while delivering trusted data assets that power Supply Chain analytics and decision-making.
  • Lead and develop the Supply Chain Data Engineering team responsible for delivering curated data assets, data pipelines, dimensional models, semantic models, and foundational data capabilities supporting planning, procurement, manufacturing, inventory, logistics, and transportation. Utilize enterprise ingestion, orchestration, and platform capabilities to acquire, integrate, transform, and curate data that supports analytics, reporting, and business decision-making.
  • Partner with Supply Chain stakeholders, Data Products & Solutions teams, architects, data scientists, and application teams to prioritize initiatives and deliver scalable data solutions that support business objectives.
  • Design, develop, and support Supply Chain data solutions across modern and legacy platforms, including BigQuery, Composer (Airflow), Python, Incorta, Oracle Analytics Server (OAS), Oracle Enterprise Data Warehouse, Informatica, PL/SQL, and enterprise semantic layer technologies.
  • Establish and promote engineering best practices, including data modeling standards, code reviews, testing strategies, CI/CD adoption, monitoring, observability, and operational support processes.
  • Partner with Data Governance teams and business data stewards to implement and maintain data quality rules, metadata cataloging, business glossary definitions, critical data elements, observability capabilities, and data remediation processes across Supply Chain data domains.
  • Drive modernization initiatives that advance the Enterprise Data Foundation, improving scalability, reliability, developer productivity, and long-term maintainability while reducing technical debt.
  • Provide technical leadership through architecture reviews, design reviews, mentoring, coaching, and cross-functional collaboration with Data Platform Engineering, Architecture, Infrastructure, Security, Governance, and Integration teams.

QUALIFICATIONS:
Required
  • Bachelor's degree in computer science, MIS, engineering, mathematics, or related field, and significant experience supporting enterprise data, analytics, and technology platforms.
  • 7+ years of experience developing and optimizing SQL solutions.
  • 7+ years of experience designing, implementing, and supporting enterprise data warehouse, lakehouse, or modern data platform solutions.
  • 5+ years of experience developing data pipelines and data integration solutions using Python and/or modern ETL/ELT technologies.
  • Strong experience with dimensional modeling, semantic modeling, and curated analytical data structures, including development and support of enterprise semantic layer solutions.
  • Demonstrated leadership experience leading technical teams, mentoring engineers, and delivering cross-functional initiatives.
  • Experience partnering with business stakeholders to translate business requirements into scalable data solutions.
  • Strong understanding of Supply Chain business processes including planning, procurement, manufacturing, inventory management, logistics, transportation, or warehouse operations.
  • Experience implementing data quality, monitoring, observability, and operational support practices.
  • Excellent communication, organizational, problem-solving, and stakeholder management skills.
  • Applicants must not now, or at any time in the future, require employer sponsorship for a work visa.
  • Applicants must be authorized to work in the United States for any employer.

Preferred
  • Experience with Google Cloud Platform technologies including BigQuery, Cloud Storage (GCS), Composer (Airflow), Dataflow, Pub/Sub, and Data Fusion.
  • Experience utilizing enterprise ingestion and orchestration frameworks to acquire, process, and curate enterprise data assets.
  • Experience developing enterprise-scale data pipelines and data integration solutions using Python.
  • Experience with Incorta analytics and data platform technologies.
  • Experience designing and implementing semantic layer solutions utilizing technologies such as AtScale, Cube, Oracle Analytics Server (OAS), or similar platforms.
  • Experience designing and supporting curated data products for enterprise analytics and self-service reporting.
  • Experience with Oracle Enterprise Data Warehouse environments.
  • Experience with Informatica ETL development.
  • Advanced SQL and PL/SQL development, performance tuning, and optimization experience.
  • Experience partnering with Data Governance teams and business data stewards on metadata management, business glossary development, data quality initiatives, observability, critical data elements, and remediation processes.
  • Experience supporting enterprise data modernization initiatives spanning both cloud-native and legacy data ecosystems.
  • Experience within food manufacturing, consumer packaged goods (CPG), Supply Chain, logistics, or related industries.
  • Experience managing and developing technical teams.

LOCATION: Corporate Office Austin, MN preferred; Eden Prairie Sales Office, Eden Prairie MN
A comprehensive relocation package to the above areas will be offered, if required.
At Hormel Foods, base pay is one part of our total compensation package and is determined within a range. The base hiring pay range for the Senior Data Engineer role is between $119,525 - $167,325 per year, and your actual base pay within that range will depend upon a variety of factors including, but not limited to, job-related knowledge, skill set, level of experience, and geographic market location.
BENEFITS: Other components of Hormel Foods' total compensation package includes comprehensive medical, dental and vision coverage, discretionary annual merit increases, bonuses and profit sharing, 401(k) with employer match, stock purchase plan, paid time off, free two-year community/technical college tuition for children of employees, and more.
TRAVEL REQUIREMENTS: 10% of the time
For immediate consideration, apply online at: www.hormelfoods.com/careers
At Hormel we invite difference and diversity in all aspects. We offer a space of support, understanding, and community. We are committed to the journey! Learn more about our progress here: https://www.hormelfoods.com/about/inclusion-and-belonging/
Hormel Foods provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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