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Extraction Jobs in Minnesota (NOW HIRING)

Sarian, Inc.

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Data engineering background and hands-on work experience building data pipelines, ETL/ELT, using AWS services (Ex. S3, Glue, Step Function, Athena, DMS, Storage Gateway, flavors of RDS). * Strong SQL ...

Inficare Technologies

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Develop ETL processes using PySpark and Informatica * Work with large relational databases including Oracle and SQL Server * Implement and manage AWS services for data ingestion, processing, and ...

360 IT Professionals

ETL Tester

Minneapolis, MN · On-site

Top 3 skills SQL, ETL experience, documentation The project will be to validate data against the requirements and the patterns established for all the data we currently have. The actual project will ...

Green Thumb

Lab Technician

Cottage Grove, MN

$19.75 - $26.25/hr

If you've previously worked in cannabis extraction and processing - even better! Responsibilities * Prepare laboratory equipment and cannabis plant materials for extraction * Operate intricate ...

Green Thumb

Lab Technician

Cottage Grove, MN · On-site

$20 - $20.75/hr

Operate intricate extraction equipment in accordance with Green Thumb SOPs * Process cannabis concentrates and extracts * Deliver on production goals, while focused on safety and quality * Produce ...

Green Thumb

Lab Technician

Cottage Grove, MN · On-site

$20 - $20.75/hr

Operate intricate extraction equipment in accordance with Green Thumb SOPs * Process cannabis concentrates and extracts * Deliver on production goals, while focused on safety and quality * Produce ...

Inficare Technologies

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Design, build, and maintain scalable data pipelines and ETL workflows on AWS * Work with large-scale databases and cloud data platforms to support business capabilities * Collaborate with ...

Inficare Technologies

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Design, develop, and maintain data pipelines and ETL workflows on AWS * Work with large-scale structured and unstructured data across cloud and on-premise systems * Collaborate with business ...

Sonsoft Inc

Informatica Consultant (GC--USC)

Minneapolis, MN · On-site

$55.50 - $73/hr

... as ETL and Oracle technology At least 2 years of experience in Software development life cycle At least 2 years of experience in DW/BI related technologies and Informatica as ETL - MUST At least 2 ...

Ryan, LLC

Sr. Consultant, Tax Technology

Richfield, MN · On-site

This position performs requirements analysis, process design, data evaluation, extract, transform, and load (ETL) activities, solution configuration, testing, and documentation to support business ...

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All JobsExtraction JobsExtraction Jobs in Minnesota

Extraction information

See Minnesota salary details

$12

$22

$33

How much do extraction jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for extraction in Minnesota is $22.07, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $23.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an extraction technician?

To thrive as an Extraction Technician, you need a solid understanding of chemistry, laboratory safety, and extraction processes, often supported by a science-related degree or relevant experience. Familiarity with extraction equipment, chromatography systems, and compliance with regulatory standards such as Good Manufacturing Practices (GMP) is typically required. Attention to detail, problem-solving abilities, and strong teamwork skills help individuals excel in this precise and collaborative role. These competencies ensure safe, efficient, and high-quality extraction of products, which is vital for meeting industry standards and organizational goals.

What are some common challenges faced by extraction technicians, and how can they be addressed?

Extraction Technicians often encounter challenges such as maintaining consistent product quality, adhering to strict safety protocols, and troubleshooting equipment malfunctions. To address these, it's important to follow standard operating procedures, stay up-to-date with equipment maintenance, and participate in regular training sessions. Collaboration with lab managers and quality control teams helps ensure compliance with regulations and fosters a supportive work environment where issues are resolved efficiently.

What is the difference between Extraction vs Mining Technician?

AspectExtractionMining Technician
Required CredentialsHigh school diploma, safety certificationsHigh school diploma, safety certifications
Work EnvironmentMining sites, industrial facilitiesMining sites, industrial facilities
Industry UsageExtraction is a broad term covering resource removalMining Technician is a specific role within mining operations
Common Search IntentUnderstanding resource extraction processesTechnical support in mining operations

Extraction refers to the overall process of removing resources from the earth, including minerals, oil, or gas. Mining Technician is a specific job role focused on supporting mining operations, often involving equipment maintenance and safety procedures. While extraction is a broad industry term, mining technicians are specialized workers within that industry, making their roles interconnected but distinct.

What are extraction jobs?

Extraction jobs involve removing natural resources such as minerals, oil, or gas from the earth or other sources. These roles often require physical labor, knowledge of safety procedures, and the use of specialized equipment in environments like mines, oil fields, or quarries.

What cities in Minnesota are hiring for Extraction jobs?

Cities in Minnesota with the most Extraction job openings:

Extraction jobs near you
Infographic showing various Extraction job openings in Minnesota as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, and 8% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $45,899 per year, or $22.1 per hour.

Data Engineer (SQL, ETL, Snowflake)

Arden Hills, MN • On-site

Prudent Technologies and Consulting
1 - 10 employees
Learn more about Prudent Technologies and Consultingexternal

$120K - $144K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Role: Data Engineer (SQL, ETL, Snowflake)
Location: Arden Hills, MN (Onsite )
Duration:  Contract

Experience : 10+ Years

Job Summary: The Data Engineer will build reliable, scalable data solutions that strengthen trusted HR and enterprise analytics. This role works closely with business analysts, lead data engineers, and the HR team on site to deliver well-managed data pipelines, improve data quality, and improve data-driven operations across the organization.

Competencies-Skills (Required):

Core Experience: 7+ years in SQL, data engineering, and data modeling.
Data Platforms: Builds and supports data warehouses, data lakes, and lake house environments.
Snowflake: Minimum 2 years of hands-on Snowflake experience.
Delivery Leadership: Leads full-lifecycle data engineering or reporting initiatives.
Data Ingestion: Designs and builds ingestion patterns for files, APIs, databases, CDC, replication, and streaming/message-based data sources.
Data Pipelines: Builds, optimizes, and operates reliable ETL/ELT pipelines and integrated datasets.
DevOps: Uses CI/CD, automated testing, and deployment practices for data solutions.
Scripting: Uses scripting languages, preferably Python, for data engineering automation.
Ownership: Works independently, manages priorities, and drives outcomes with minimal supervision.
Problem Solving: Applies strong analytical, troubleshooting, and root cause analysis skills.
Communication: Communicates clearly and coordinates effectively with technical and business partners.
Data Security: Applies security practices such as encryption, anonymization, masking, and access-aware design.
Modern Data Architecture: Understands warehouse, lake, lake house, and cloud-based data architecture patterns.
Azure Familiarity: Understands Azure services used for data storage, integration, processing, orchestration, and security.
Orchestration: Manages pipeline orchestration, scheduling, monitoring, and data flow reliability.
Metadata Management: Uses metadata-driven practices to improve usability, lineage, and governance.
Version Control: Uses version control to support quality, traceability, and team collaboration.
Scalability: Designs pipelines with scalability, performance, and distributed processing considerations.

Competencies-Skills (Preferred):

Advanced Platform Optimization: Optimizes complex Snowflake and Databricks/Spark workloads, including streams, tasks, dynamic tables, and performance tuning.
HR Data Experience: Works with HR systems such as Workday and supports workforce analytics, employee lifecycle reporting, and people data use cases.
HR Data Governance: Applies privacy, minimization, masking, and access practices specifically for confidential employee and workforce data.
Enterprise Solution Design: Shapes reusable data product patterns, logical models, and target-state designs for enterprise analytics.
Power BI Enablement: Partners with analysts to support semantic models, curated datasets, dashboards, and trusted reporting experiences.
Data Vault: Understands Data Vault modeling concepts and architecture.
Practical Innovation: Identifies pragmatic opportunities to improve data products, analytics delivery, and user adoption.
Agentic AI Exposure: Understands agentic AI concepts and opportunities to apply AI-enabled workflows in data and analytics contexts.
AI Productivity: Uses AI tools responsibly to improve personal productivity, streamline analysis, accelerate documentation, and support delivery quality.
MLOps Exposure: Understands machine learning operations and production model lifecycle concepts.

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