ZipRecruiter

Log In

2

Remote Data Engineer Jobs in Prior Lake, MN (NOW HIRING)

Expleo

Database Developer

Saint Paul, MN · On-site +1

$89 - $95/hr

Paul, MN) | Fully Remote Candidates Considered Employment Type: Full-Time or Contract-to-Hire Are you a seasoned Database Developer who enjoys solving complex data challenges, optimizing performance ...

Vervint

Director of Data Intelligence

Minneapolis, MN · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

New

Thrivent Financial

Senior Engineer

Minneapolis, MN · On-site +1

$157K/yr

Use data to measure progress; * Promote and expand on the use of the CI/CD pipeline to improve the ... Coach Engineers; * Provide guidance to junior engineers to help them learn foundational software ...

Expleo

Azure Database Architect

Saint Paul, MN · Remote

$63.50 - $83/hr

Location: Fully Remote (St. Paul, MN) Employment Type: Full-Time / Contract-to-Hire Options ... Strong understanding of CI/CD pipelines and DevOps practices for data platforms * Solid knowledge ...

New

Syscom, Inc.

Azure Database Engineer

Saint Paul, MN · On-site +1

$55.50 - $69/hr

Looking for your next Azure cloud data engineering challenge? If you're an experienced Database ... Remote/Hybrid. Candidates should be available to work onsite in St. Paul, MN, as needed for ...

Polaris, Inc.

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

Working in a highly cross-functional model, you will partner with engineering, architecture, and ... Ability to work in a remote or hybrid model while being commutable to Medina, MN for quarterly ...

InstantServe LLC

Database Developer

Saint Paul, MN · On-site +1

Job Title: - Database Developer. Location: St Paul, MN (Remote) Job Responsibilities: Tasks ... Execute large-scale data migrations, including cleansing, validation, and transformation across ...

previous page

Showing results 41-60

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Prior Lake, MN

Remote Data Engineer information

See Prior Lake, MN salary details

$45.7K

$133.1K

$182.2K

How much do remote data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data engineer in Prior Lake, MN is $133,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $141,100.00 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.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Prior Lake, MN? The most popular types of Data Engineer jobs in Prior Lake, MN are:
What are popular job titles related to Remote Data Engineer jobs in Prior Lake, MN? For Remote Data Engineer jobs in Prior Lake, MN, the most frequently searched job titles are:
What cities near Prior Lake, MN are hiring for Remote Data Engineer jobs? Cities near Prior Lake, MN with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Prior Lake, MN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $133,122 per year, or $64 per hour.

Data Operations Engineer - Minneapolis, MN

Datasite

Minneapolis, MN • On-site, Remote

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing
and more. Here you'll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.
Apply for one position or as many as you like. Talent doesn't always just go in one direction or fit in a single box. We're happy to see whatever your superpower is and find the best place for it to flourish.
Get started now, we look forward to meeting you..
Job Description:
As a Data Operations Engineer at Datasite, you own the full lifecycle of partner data as it moves through our systems - ingestion, transformation, validation, and reconciliation - bringing the monitoring and SLA discipline that sophisticated partners expect. You balance partner trust, engineering velocity, and long-term data platform health while enabling intelligent, contract-driven data exchange across our partner ecosystem.
You bring hands-on experience with modern data tooling (Snowflake, dbt, Airflow, schema registries) paired with practical, AI-augmented workflows that compress manual investigation into minutes. You will help ensure new partnerships are delivered on a foundation of trustworthy data, with the rigor and creative problem solving that lets the broader engineering team stop firefighting and start building.
How We Work Together
Strategic Data Leadership
  • Guide data architecture decisions that incorporate AI-augmented capabilities into ingestion, transformation, and reconciliation workflows for partner integrations.
  • Partner with Product, Engineering, and partner teams to develop flexible data roadmaps aligned to Datasite strategy while adapting to fast-evolving partner data needs.
  • Drive pipeline improvements that scale across diverse partner data formats, reduce operational overhead, and improve reliability of SLA-bound data products.
  • Maintain adaptable data contracts and schema strategies, enabling rapid onboarding of new partners in uncertain, high-velocity environments.

Cross-Team Collaboration & Influence
  • Identify and drive cross-platform improvements (schema registries, validation tooling, data contracts, lineage tracking) that enhance partner and developer experiences.
  • Collaborate across Engineering, Product, and partner teams to deliver AI-first, integration-ready data solutions.
  • Communicate complex data concepts clearly, translating pipeline design trade-offs and SLA commitments for diverse stakeholders.
  • Provide technical guidance that ensures alignment, simplicity, and consistency across data flows and partner integrations.

Problem Solving & Overcoming Obstacles
  • Evaluate trade-offs across freshness, accuracy, latency, and cost, especially in partner-driven and AI-augmented data workflows.
  • Simplify pipelines and drive down data debt while supporting rapid experimentation and onboarding of new partners.
  • Own ambiguous data challenges - mismatched schemas, silent failures, partial loads, reconciliation gaps - and drive them to resolution.
  • Apply strong diagnostics to identify root causes of data discrepancies and deliver resilient, auditable solutions.

Mentorship & Growth
  • Mentor engineers and analytics contributors through coaching and feedback, including adoption of modern and AI-augmented data practices.
  • Support team growth by promoting continuous learning, experimentation, and adaptability in data engineering methods.
  • Foster a culture of psychological safety, collaboration, and shared ownership of data quality.
  • Help raise the bar in hiring, ensuring alignment with Datasite's technical and cultural expectations.

Ownership & Accountability
  • Own end-to-end design and delivery of ingestion pipelines, transformation layers, reconciliation processes, and partner-facing data products.
  • Build pipelines with strong observability, alerting, and self-healing characteristics - so issues are identified and, where possible, remediated before they become partner-visible.
  • Track progress, manage risk, and adapt plans while maintaining a bias for action and high-quality execution.
  • Ensure new partnerships are delivered with care, reliability, and ingenuity, balancing speed with long-term data integrity.

What We're Looking For
  • Strong experience designing and operating data pipelines with defined latency, freshness, and accuracy SLAs
  • Expert SQL skills and proven ability to work with large, complex datasets across diverse partner schemas
  • Hands-on experience with modern data tooling such as Snowflake, dbt, Airflow, and schema registries
  • Practical, in-the-workflow use of agentic tooling to accelerate schema mapping, anomaly detection, data profiling, and pipeline debugging
  • Track record of building monitoring, alerting, runbooks, and reconciliation processes for systems with external commitments
  • Ability to ramp quickly on new partner ecosystems, data formats, and domains
  • Proven success leading work in ambiguous, fast-moving environments
  • Excellent collaboration, communication, and cross-team influence

Work Location & Flexibility
  • This role follows a hybrid work model and is open to candidates based near our Minneapolis office. Employees are expected to work on-site a minimum of two days per week.

#LI-KL1
The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate's compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.
$99,000.00 - $172,700.00
Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

Apply