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Remote Data Processing Jobs in Minnesota (NOW HIRING)

... process in different areas of litigation! Position Details * Remote work-from-home opportunity ... Serving clients for over 30 years, KLDiscovery offers data collection and forensic investigation ...

Teamcenter Data Architect

Saint Paul, MN ยท On-site +1

$113K - $154K/yr

Teamcenter Data Architect * Full Time * Remote or Hybrid The Teamcenter Data Architect plays a key ... Familiarity with configuration management, version control, and deployment processes * Ability to ...

Air Modeler

Bloomington, MN ยท Remote

$80K - $119K/yr

What We'd Love to See in You Proficiency with GIS, mapping tools, and spatial data processing ... remote Compensation Range: $80,000.00 - $119,000.00 As an EEO/Affirmative Action Employer, all ...

Air Modeler

Duluth, MN ยท Remote

$80K - $119K/yr

What We'd Love to See in You Proficiency with GIS, mapping tools, and spatial data processing ... remote Compensation Range: $80,000.00 - $119,000.00 As an EEO/Affirmative Action Employer, all ...

Teamcenter Data Architect

Saint Paul, MN ยท On-site +1

$113K - $154K/yr

Teamcenter Data Architect * Full Time * Remote or Hybrid The Teamcenter Data Architect plays a key ... Familiarity with configuration management, version control, and deployment processes * Ability to ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Design, build, and maintain scalable data pipelines and ETL/ELT processes using Power Query ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Design, build, and maintain scalable data pipelines and ETL/ELT processes using Power Query ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Design, build, and maintain scalable data pipelines and ETL/ELT processes using Power Query ...

Data Practices Officer

Saint Paul, MN ยท On-site +1

$74K - $111K/yr

... Remote Employment: Flexible/Hybrid Job Number: 2026-00302 Department: Strategic Team Division ... Manage and facilitate the processing of complex, sensitive, and cross-departmental data requests ...

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Remote Data Processing information

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a Remote Data Processing specialist, and why are they important?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.
What are the most commonly searched types of Data Processing jobs in Minnesota? The most popular types of Data Processing jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Processing jobs? Cities in Minnesota with the most Remote Data Processing job openings:
Infographic showing various Remote Data Processing job openings in Minnesota as of June 2026, with employment types broken down into 65% Full Time, 29% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Principal AI / ML Engineer

NxT Level

Minneapolis, MN โ€ข On-site, Remote

Other

Medical, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Principal Machine Learning Engineer

Our client is a digital consumer product. They're building social features using LLMs and Machine Learning to add to user experience. We're looking for a Principal Machine Learning Engineer to build AI features for the family.

Qualifications
  • A confident craftsperson who possesses problem-solving tools and can discuss multiple approaches while preferring the best approach given the constraints.
  • A scientific artist and artistic scientist who can navigate complexity and bring clarity to intricate problems while appreciating simplicity as the highest sophistication.
  • A pragmatic optimizer who identifies the need for change, articulates it, and drives incremental improvements toward ambitious goals.
  • An advocate for team collaboration and open communication.
  • Possesses comprehensive knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced NLP techniques.
  • Significant experience in AI/ML engineering with a strong data science background.
  • Demonstrated ability in designing and training LLMs.
  • Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications.
  • Proficiency with AWS Bedrock and Comprehend.
  • Demonstrated leadership in AI/ML solutions in a commercial environment.
  • Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration and processing.
  • Proven ability to lead and inspire teams of senior engineers and data scientists.
  • Effective individual contributor within a collaborative team environment.
  • Strong analytical, problem-solving, and communication skills.
Responsibilities
  • Collaborate with the Data team to transform Data Lakehouse potential into actionable insights and services that enhance user experiences.
  • Shape AI/ML strategies, particularly in LLMs, to drive business outcomes and establish data science principles.
  • Implement technologies in AWS and Databricks for handling and processing large datasets for advanced language model training.
  • Lead data science practices, including model selection and training methodology.
  • Build, train, manage, and host LLMs using Data Lakehouse data.
  • Optimize AI system performance through testing and tuning, leveraging data science and Databricks methodologies.
  • Ensure ethical standards and data privacy compliance in AI solutions.
  • Provide specialized AI/ML expertise to guide the development and optimization of AI features.
  • Stay updated on the latest AI/ML and data science trends, especially in LLMs and AWS, Databricks/Apache Spark technology.
Benefits
  • Full Medical Coverage: OFW covers 100% of premiums for employees and their families.
  • 401k: Up to a 4% match with immediate vesting.
  • 12 weeks of paid leave for all new parents.
  • Learning & Development stipend for employees.
  • Supportive and flexible working environment, allowing remote work from anywhere.