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Remote Data Engineer Jobs in Chaska, MN (NOW HIRING)

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

We are seeking a strong Data Engineer with deep experience building scalable data pipelines and data processing solutions using Databricks, Spark, and Python. This role will lead the design and ...

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

Collaborate closely with product owners, business users, and stakeholders to translate data product and reporting requirements into scalable, reliable data engineering solutions, incorporating ...

Senior Data Engineer

Minnetonka, MN · On-site +1

$108K - $146K/yr

Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads * Build and optimize data processing ...

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

Establish data quality standards including validation rules, anomaly detection, and reconciliation workflows * DevOps, Automation & Infrastructure-as-Code * Implement infrastructure and data platform ...

Senior Data Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

High School Diploma or equivalent experience (Bachelor's degree preferred in Computer Science, Engineering, or related field) * 6 years of experience in data engineering, including DevOps practices ...

Senior Data Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

Bachelor's degree in CS or IT related field * 5 years of experience as a Data Engineer * 5 years of experience in Snowflake database administration, operations, and production support * 5 years of ...

Data Scientist - Remote

Minnetonka, MN · On-site +1

$112K - $193K/yr

... data and resources they need to feel their best. Here, you will find a culture guided by inclusion ... This role is a senior, hands-on AI/ML engineering position focused on building, enhancing, and ...

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Showing results 1-20

Remote Data Engineer information

See Chaska, MN salary details

$47.7K

$139.1K

$190.3K

How much do remote data engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote data engineer in Chaska, MN is $139,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,800.00 and $147,400.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
What cities near Chaska, MN are hiring for Remote Data Engineer jobs? Cities near Chaska, MN with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Chaska, MN as of June 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $139,084 per year, or $66.9 per hour.

Senior Data Engineer, Infrastructure & Compliance

Sidekick Health

Minneapolis, MN • Remote

$110K - $150K/yr

Full-time

Medical, Retirement, PTO

Posted 18 days ago


Job description

About Sidekick Health

Sidekick Health is a leader in digital health, combining clinical expertise, behavioral science, and cutting-edge technology to drive meaningful health outcomes. Our Data Engineering team builds and maintains the secure, scalable pipelines and infrastructure necessary to process, analyze, and manage our global health data. We maintain the highest standards of security and compliance, including HITRUST certification.


The Opportunity

We are seeking a highly skilled and disciplined Senior Data Engineer to join our team in Minneapolis, MN. This is a critical and unique role where your core responsibilities will focus on data infrastructure, data processing, pipeline development, and data architecture.

You will also serve as the essential onshore engineering resource authorized to perform operational tasks that require direct, timely access to Protected Health Information (PHI) and Personally Identifiable Information (PII) within our US production environment.


Note: This is a remote position based in or near Minneapolis, MN, requiring collaboration across time zones as part of a global development team, the majority of which is in Europe, and therefore requires working according to CET business hours.


Key Responsibilities


1. Core Data Engineering & Infrastructure (Primary Focus)

  • Pipeline & Processing Development: Design, build, and maintain robust, scalable, and secure data pipelines (ETL/ELT) using technologies like SQL and
    Python to ingest, clean, transform, and process clinical and operational data for downstream consumption.
  • Architecture & Modeling: Evolve our data infrastructure and data models within our Service-Oriented Architecture (SOA), ensuring optimal performance, integrity, and security for sensitive data at rest and in transit.
  • Compliance-Focused Tooling: Develop and implement automation for data governance, quality checks, and compliant data masking/anonymization processes, helping to secure data consumption by internal and external teams.
  • Performance: Optimize data warehouse performance and query execution, specifically for reporting and analytical datasets.#

2. Compliant DevOps & Production Support (Specialized Focus)

  • PHI Access and Incident Response: Act as the designated and highly privileged onshore resource for troubleshooting and resolving escalated production incidents or data integrity issues that necessitate direct, immediate access to live PHI/PII data within the data infrastructure.
  • Secure Operations: Execute sensitive operational tasks, database migrations, configuration changes, and pipeline validations where interaction with PHI/PII data is unavoidable.
  • Protocol Leadership: Enforce and document strict adherence to all internal security policies, HITRUST requirements, and client-specific data handling protocols. Maintain comprehensive and accurate audit trails for all privileged access activities.


Qualifications


Required Technical & Experience

  • Experience & Drive: 5+ years of experience as a Data Engineer or Backend Engineer focusing on data processing pipelines. Must be a proactive, self-driven engineer capable of moving projects forward independently.
  • Data Stack: Strong proficiency in Python is preferred. Expertise with relational and NoSQL databases, data warehousing concepts, and data modeling.
  • Platform: Experience with Kubernetes and Service-Oriented Architecture (SOA).
  • Cloud & Infrastructure: Proven experience with cloud data platforms (preferably Google Cloud or AWS), including tools such as BigQuery, and a good understanding of infrastructure as code (e.g., Terraform).


Required Compliance & Soft Skills

  • Integrity & Commitment: Exceptional personal integrity and a deep professional commitment to data privacy.
  • Healthcare Compliance: Must have experience or strong working knowledge of healthcare data regulations (HIPAA, HITRUST).
  • Operational Principles: Conceptual understanding of the trade-offs and methodologies involved in balancing development velocity with robust operational practices.
  • Location: Must be based in or near Minneapolis, Minnesota, USA, and authorized to work in the US.
  • Prior experience building production systems that handle large volumes of clinical or health data.
  • Familiarity with DaaS/VDI environments and strict security jump box protocols.


Our Culture:

  • Inclusion, belonging, flexibility, and growth arecore to how we work.
  • Everyoneis encouraged to become thebest versionof themselves.
  • Feeling valued and fulfilledat work should be the norm.
  • Challenges are opportunities - bothpersonal and professional growthare part of the journey.
  • A healthywork-life balance is essential, not just a nice-to-have.
  • Empathy and social sensitivity are qualities weactively look forin our team members.
  • Diverse teamssimply performbetter- and we build with that in mind.
  • We believe in getting to know each other on apersonal level.
  • Our goal is to make ameaningful, positive impacton the lives of others.


Benefits:

401k match, health insurance, generous PTO, top technology, flexible working hours, access to Sidekick health programs, and more!