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Commission Databricks Data Engineer Jobs in Minnesota

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure ... Position may be eligible for additional compensation that may include commission and/or an ...

Data Engineer Location: Minneapolis, MN. Chandler, AZ. Irving, TX Pay Rate: $76 Top Skills * 5+ ... Understanding with Databricks (Apache Spark, Delta Lake, and workflows) for building scalable data ...

Data Engineer Lead

Lake Elmo, MN · On-site

$98K - $199K/yr

Data Engineer Lead Job Locations US-MN-Lake Elmo | US-IL-Chicago | US-IN-Evansville | US-WI ... Databricks. * Apply business intelligence best practices such as dimensional modeling and ...

Senior Data Engineer

Minneapolis, MN

$110K - $150K/yr

Databricks Data Engineering Professional Certification. * Experience working within federated or self-service data environments and enabling domain teams to publish and consume data products. As a ...

Data Engineer Senior

Bloomington, MN · On-site

$106K - $144K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data ... Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks ...

Data Engineer Senior

Bloomington, MN · On-site

$106K - $144K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data ... Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Senior Data Engineer

Eden Prairie, MN · On-site

$91K - $163K/yr

Growing together As a Senior Data Engineer, you will be responsible for developing complex data ... Experience with Databricks * Familiarity with Azure services such as Blob Storage, Functions, Azure ...

Senior Data Engineer

Eden Prairie, MN · On-site

$91K - $163K/yr

Growing together As a Senior Data Engineer, you will be responsible for developing complex data ... Experience with Databricks * Familiarity with Azure services such as Blob Storage, Functions, Azure ...

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and ... Databricks, Delta Sharing, real-time analytics, LLM-based agents). * Lead Proof-of-Concepts (POCs ...

Sr Data Engineer BI

Minneapolis, MN · Hybrid

$110K - $150K/yr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and ... Databricks, Delta Sharing, real-time analytics, LLM-based agents). * Lead Proof-of-Concepts (POCs ...

Sr Data Engineer BI

Bloomington, MN · On-site

$110K - $150K/yr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and ... Databricks, Delta Sharing, real-time analytics, LLM-based agents). * Lead Proof-of-Concepts (POCs ...

Database Engineer

Minneapolis, MN · On-site

$73 - $78/hr

Experience with Databricks , Apache Spark, Delta Lake, and workflow orchestration. * Experience working with Snowflake and modern cloud data platforms. * Experience with CI/CD and DevOps tools ...

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Showing results 1-20

Commission Databricks Data Engineer information

What is the difference between Commission Databricks Data Engineer vs Commission Data Engineer?

AspectCommission Databricks Data EngineerCommission Data Engineer
CertificationsDatabricks certifications, cloud platform credentialsGeneral data engineering certifications, cloud platform credentials
Work EnvironmentPrimarily on Databricks platform, cloud-basedVarious cloud platforms, on-premises or cloud
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, including finance, retail, healthcare

The Commission Databricks Data Engineer specializes in working with Databricks platform for data processing and analytics, often requiring Databricks-specific certifications. In contrast, the Commission Data Engineer has a broader scope, working across multiple platforms and environments. Both roles involve building data pipelines and managing data workflows, but the Databricks-focused role emphasizes expertise in Databricks tools and cloud integrations.

What are the most commonly searched types of Databricks Data Engineer jobs in Minnesota? The most popular types of Databricks Data Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Commission Databricks Data Engineer jobs? Cities in Minnesota with the most Commission Databricks Data Engineer job openings:
Data Engineer

Data Engineer

Ryan Companies

Minneapolis, MN • On-site, Remote

$90K - $113K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

Job Description:

Ryan Companies has an immediate need for a Data Engineer. This is an IN-OFFICE opportunity (4 days per week, 1 day work-from-home) in our Minneapolis headquarters office.

The Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies. This role will focus on developing scalable, reliable data pipelines that ensure the quality, accessibility, and performance of data used across all of Ryan.


The successful candidate will work cross-functionally with data architects, AI/ML engineers, data scientists, analysts, and domain experts to design and implement modern data engineering solutions.

What you can expect to do:

Data Architecture and Modeling

  • Architect, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), utilizing services like BigQuery, Dataflow, and Cloud Storage to handle diverse data sources (e.g., project systems, safety logs, IoT/sensor data).

  • Design and implement effective data models, including star schemas and dimensional modeling, to support business intelligence and analytics.

  • Develop and manage data solutions to ensure efficient data storage, retrieval, and cost-effectiveness.

  • Contribute to metadata management, data cataloging, and lineage tracking to enhance the discovery and transparency of enterprise data assets.

Data Pipeline Development and Management

  • Design and orchestrate robust ETL/ELT processes and data integration workflows using tools like Cloud Composer or Apache Airflow.

  • Implement and manage both batch and real-time data streaming pipelines to ensure timely and accurate data availability for downstream applications.

  • Write clean, efficient, and well-documented Python and SQL code to process and transform large, complex datasets.

  • Monitor, troubleshoot, and optimize data pipeline performance, identifying and resolving bottlenecks to improve efficiency and scalability.

Data Quality and Governance

  • Implement and maintain data quality frameworks to ensure the accuracy, consistency, and reliability of data across all systems.

  • Develop and implement data validation and testing procedures to maintain the highest standards of data integrity.

  • Establish and enforce data governance policies and best practices, ensuring all data handling is secure, private, and compliant with regulations.

Platform Engineering and Automation

  • Build and maintain CI/CD pipelines for the automated testing and deployment of data engineering workflows.

  • Support the deployment and monitoring of machine learning models by implementing reproducible and traceable data environments.

  • Partner with DevOps and Technology teams to automate infrastructure provisioning, CI/CD processes, and data quality monitoring.

Collaboration and Leadership

  • Partner with Enterprise Architects, Solution Architects, data scientists, and analysts to understand data needs, design technical solutions, and translate business requirements into architectural designs.

  • Lead the implementation of data solutions, from discovery and design through to deployment.

  • Collaborate with other data engineers, fostering a culture of knowledge sharing and continuous improvement.

  • Create and maintain clear documentation for architecture, schemas, and pipeline workflows to support team knowledge and onboarding.

What we expect you should have:

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.

  • 3+ years of professional experience in data engineering or a similar role.

  • Strong programming skills in Python, SQL, with experience using tools such as Cloud Composer.

  • Proven experience designing and maintaining data pipelines using platforms such as GCP, AWS, Azure or similar.

Preferred Skills:

  • Experience building data infrastructure and services in cloud-native environments (GCP preferred).

  • Exposure to domain-driven architecture.

  • Strong collaboration and communication skills with a track record of partnering across functions to deliver high-impact solutions.

Compensation:

The base pay range is $90,000-$113,000/Annually. The salary may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission and/or an incentive program.

Eligibility:

Position requires verification of employment to work in the U.S.

Benefits:

  • Competitive Salary

  • Medical, Dental and Vision Benefits

  • Retirement and Savings Benefits

  • Flexible Spending and Health Savings Accounts

  • Life Insurance

  • Short-Term and Long-Term Disability

  • Educational Assistance

  • Paid Time Off (PTO)

  • Employee Assistance and Wellness Programs

  • Parenting Benefits

  • Employee Discount Programs

  • Pet insurance

  • Ryan Foundation - charitable matching funds

  • Paid Time for Volunteer Events

Disclaimer: Eligibility may vary based on factors such as role, hours worked, employment status, length of service, location, and other considerations. Detailed information will be shared with eligible candidates during the hiring process, and the official terms and conditions will be outlined in each individual offer document.

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


Notice to Candidates:

Please be advised that initial outreach regarding employment at Ryan Companies will only occur via email from the domain @ryancompanies.com email address. If you recieve communication from someone you believe is impersonating Ryan Companies, please report it to us at humanresources@ryancompanies.com

Non-Solicitation Notice to Recruitment Agencies:

Ryan Companies kindly requests that recruitment agencies and third-party recruiters do not submit unsolicited resumes or candidate information to any Ryan Companies employee or office. Ryan Companies will not be responsible for any fees or expenses associated with unsolicited submissions. If recruitment services are required, we will reach out directly to agencies on our approved vendor list. We appreciate your understanding and cooperation.