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Airflow Developer Jobs in Minnesota (NOW HIRING)

Keenfinity

Mechanical Engineer

Burnsville, MN

... airflow, and thermal dissipation. * Define mechanical constraints and board outlines for printed ... Initiate Engineering Change Orders (ECs) to update 3D models and technical documentation. * Advise ...

Keenfinity

Mechanical Engineer

Burnsville, MN · On-site

... airflow, and thermal dissipation. * Define mechanical constraints and board outlines for printed ... Initiate Engineering Change Orders (ECs) to update 3D models and technical documentation. * Advise ...

Keenfinity

Mechanical Engineer

Burnsville, MN

... airflow, and thermal dissipation. * Define mechanical constraints and board outlines for printed ... Initiate Engineering Change Orders (ECs) to update 3D models and technical documentation. * Advise ...

3M

Enterprise Search Tech Lead

Maplewood, MN · On-site +1

... engineering standards. * Partnering with the domain architect on long-term strategy while independently executing complex platform changes. * Building and maintaining Airflow-orchestrated ingestion ...

3M

Enterprise Search Tech Lead

Maplewood, MN · On-site

... engineering standards. * Partnering with the domain architect on long-term strategy while independently executing complex platform changes. * Building and maintaining Airflow-orchestrated ingestion ...

Copeland

Senior Mechanical Design Engineer

Chanhassen, MN · Hybrid

$91K - $126K/yr

Best-in-class engineering, design and manufacturing combined with category-leading brands in ... Heat sinks and airflow * Connector integration * IP-rated enclosure design * Experience ...

Copeland

Senior Mechanical Design Engineer

Chanhassen, MN · On-site

$91K - $126K/yr

Best-in-class engineering, design and manufacturing combined with category-leading brands in ... Heat sinks and airflow * Connector integration * IP-rated enclosure design * Experience ...

Copeland

Senior Mechanical Design Engineer

Chanhassen, MN · On-site

$91K - $126K/yr

Best-in-class engineering, design and manufacturing combined with category-leading brands in ... Heat sinks and airflow * Connector integration * IP-rated enclosure design * Experience ...

Team Velocity Marketing

Senior Data Scientist

Virginia, MN · On-site

$160 - $220/hr

The role partners with Product, Data Engineering, Software Engineering, Analytics, and business ... Snowflake, Matillion, dbt, Pandas, Spark, Airflow * Cloud: Google Cloud (preferred), AWS, or Azure

New

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

... Composer or Apache Airflow. * Implement and manage both batch and real-time data streaming ... Partner with DevOps and Technology teams to automate infrastructure provisioning, CI/CD processes ...

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Airflow Developer information

What is an Airflow developer?

Airflow Developers are professionals who design, build, and maintain data workflows using Apache Airflow, an open-source platform for orchestrating complex computational workflows and data processing pipelines. They are responsible for writing, scheduling, and monitoring tasks (DAGs) that automate data movement and transformation across systems. Airflow Developers work closely with data engineers, analysts, and other stakeholders to ensure reliable and efficient data pipeline automation. Their expertise includes Python programming, Airflow configuration, troubleshooting, and best practices for scalable workflow management.

What is the difference between Airflow Developer vs Data Engineer?

AspectAirflow DeveloperData Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud platforms
Work EnvironmentFocus on workflow orchestration, automationData pipeline development, storage, processing
Industry UsageTech, finance, healthcare for workflow automationBroad industries for data infrastructure

While both roles involve working with data and Python, an Airflow Developer specializes in designing and maintaining workflow automation using Apache Airflow. In contrast, a Data Engineer builds and manages data pipelines and infrastructure across various tools and platforms. The roles often overlap but differ mainly in scope and focus.

What are the key skills and qualifications needed to thrive as an Airflow developer, and why are they important?

To thrive as an Airflow Developer, you need strong programming skills in Python, experience with data pipelines, and a solid understanding of workflow orchestration concepts. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and version control systems such as Git are typically required, along with knowledge of containerization tools like Docker. Analytical thinking, attention to detail, and effective communication are key soft skills for collaborating with data teams and troubleshooting complex workflows. These competencies ensure reliable, scalable, and maintainable data pipeline solutions that support organizational data needs.

What are some common challenges Airflow developers face when managing complex data pipelines, and how can these be addressed?

Airflow Developers often encounter challenges such as managing dependencies between tasks, handling large-scale workflows, and ensuring reliable pipeline execution. To address these, it's essential to design modular DAGs (Directed Acyclic Graphs), implement robust error handling, and use features like sensors and retries strategically. Collaboration with data engineers and stakeholders is also key for troubleshooting and optimizing workflows. Effective monitoring and logging practices further help in quickly identifying and resolving issues.

What are popular job titles related to Airflow Developer jobs in Minnesota?

For Airflow Developer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Airflow Developer jobs in Minnesota look for?

The top searched job categories for Airflow Developer jobs in Minnesota are:

What cities in Minnesota are hiring for Airflow Developer jobs?

Cities in Minnesota with the most Airflow Developer job openings:

Airflow Developer jobs near you
Infographic showing various Airflow Developer job openings in Minnesota as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 90% In-person, 4% Hybrid, and 6% Remote job distribution.

Staff Engineer, Machine Learning Life Sciences

Inari Agriculture, Inc.

North Oaks, MN • On-site

$148.53 - $204.25/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

About the role

Inari is seeking a Staff Machine Learning Engineer to join our AI Team in support of our mission of transforming agriculture through predictive design and advanced gene editing. This role will focus on delivering production‑ready ML pipelines using existing models while also exploring new modeling approaches to advance our ability to drive step‑change trait improvement in crops. As an individual contributor at staff level, you will drive major workstreams with autonomy while collaborating closely with cross‑functional teams of computational biologists, software engineers, and crop scientists.

Responsibilities
  • Build, deploy, and maintain production ML pipelines and infrastructure to serve predictions at scale, including model versioning, monitoring, and lifecycle management.
  • Integrate ML systems with genomic, phenotypic, and biological data platforms using AWS and containerization technologies.
  • Partner with computational and experimental biologists to contextualize heterogeneous biological data and drive research‑critical modeling programs.
  • Train and validate statistical and ML models; prototype new approaches and evaluate feasibility for production deployment.
  • Implement integrations with strategic third‑party tools, foundation models, and AI agents; stay current with ML research to identify applicable methods.
  • Drive major workstreams autonomously while collaborating effectively with teammates and cross‑functional stakeholders.
  • Communicate technical results clearly across disciplines and contribute to technical decisions, code reviews, and engineering standards.
Qualifications
  • Required education and experience: MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Computational Biology, or related field (or BS with equivalent experience); 6+ years of ML engineering experience with an emphasis on production systems.
  • Production ML: Proven ability to deploy, maintain, and monitor ML models and pipelines at scale.
  • Python & frameworks: Advanced scientific Python (NumPy, Pandas, scikit‑learn) and hands‑on experience with PyTorch and/or TensorFlow, including training and deploying neural networks.
  • Cloud & MLOps: Experience with AWS (EC2, S3, SageMaker), containerization (Docker), experiment tracking (MLflow), and workflow orchestration (Airflow or equivalent).
  • Cross‑disciplinary collaboration: Comfortable interfacing with biologists and life scientists, translating between biological and ML framings, and communicating technical results to diverse audiences.
  • Ownership & drive: Track record of owning solutions and deliverables end‑to‑end—setting direction, aligning stakeholders, and seeing work through to impact—while remaining a collaborative and engaged team member.
  • Strongly preferred: Familiarity with biological data types (genomic, transcriptomic, proteomic), common file formats (FASTA, GFF, VCF, BAM), and sequence modeling methods applied to DNA/RNA/protein data; awareness of current research in applying deep learning to biological sequences (e.g., genomic transformers, protein language models); experience with graph neural networks or network analysis tools for modeling complex biological relationships.
Benefits
  • Competitive salary range: $148,530 – 204,250.
  • Compensation includes base, short‑term incentive, and long‑term equity with a one‑time new hire stock option grant.
  • Comprehensive benefits package: PPO and HDHP with company‑funded HSA, vision, dental, flexible spending accounts, voluntary benefits, and a robust wellness program.
  • 401(k) plan with company matching and flexible paid time off.
  • Hybrid work model: weekly split between in‑office and remote work.

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

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