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Contract Databricks Data Engineer Jobs in Saint Paul, MN

Senior Databricks

Chanhassen, MN · On-site

$124K - $164K/yr

Senior Databricks Analytics Engineer Contract-(3-6 months) Hybrid - Chanhassen, MN (Local Preferred ... This individual will work closely with Data & AI leadership and serve as a technical partner in ...

New

Sr Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Senior Data Engineer - Databricks, Python, PySpark Job Summary We are seeking a highly experienced ... data contracts. * Troubleshoot production issues, perform root-cause analysis, and implement ...

Senior Data Engineer

Eagan, MN · On-site

$108K - $146K/yr

Senior Data Engineer 6 month Contract-to hire Onsite in Eagan, MN 2 days a week Top 3 Must Have Skills: * Databricks * AWS * SQL Position Overview: The team is building a newenterprise data ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Data Engineer

Minneapolis, MN

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Data Engineer - Hybrid

Eagan, MN · On-site

$79.10 - $89.10/hr

This is a 6+ month contract-to-hire opportunity. Compensation: $79.10 - $89.10 per hour, W2, based ... Hands-on Databricks experience including notebooks, workflows, and cluster management Experience ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no ... Databricks * Microsoft Fabric * Strong understanding of data quality, validation, and production ...

Sr Azure Data Engineer (12+ yrs)

Minneapolis, MN · On-site

$57.50 - $71.25/hr

Contract Experience Required: Min 12+ years Skill Matrix: Skills Required Azure Admin Yes Required ... Azure Databricks Responsibilities: * Design and develop scalable architectures using Azure ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Maintain deep expertise in data engineering and modern data architectures and Databricks ... capabilities. * Operations: Review solution performance, and continually assess health of systems.

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Showing results 1-20

Contract Databricks Data Engineer information

See Saint Paul, MN salary details

$45K

$131.2K

$179.5K

How much do contract databricks data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for contract databricks data engineer in Saint Paul, MN is $131,193.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $139,100.00 per year, depending on experience, location, and employer.

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Saint Paul, MN?

The most popular types of Databricks Data Engineer jobs in Saint Paul, MN are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Saint Paul, MN?

For Contract Databricks Data Engineer jobs in Saint Paul, MN, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Data Engineer jobs in Saint Paul, MN look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Saint Paul, MN are:

What cities near Saint Paul, MN are hiring for Contract Databricks Data Engineer jobs?

Cities near Saint Paul, MN with the most Contract Databricks Data Engineer job openings:

Senior Databricks Analytics Engineer

C4 Technical Services

Chanhassen, MN • On-site

$106K - $146K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Senior Databricks Analytics Engineer
Contract-(3-6 months)
Hybrid - Chanhassen, MN (Local Preferred)

Role Overview:
  • Client is seeking a Senior Databricks Analytics Engineer to help design and build a new Databricks-based analytics platform from the ground up.
  • This individual will work closely with Data & AI leadership and serve as a technical partner in establishing the Lakehouse architecture, Medallion data model, semantic layer strategy, and reporting-ready datasets.
  • The ideal candidate has prior experience building Databricks environments from scratch and can operate independently with minimal direction while helping establish foundational best practices.
Top Skills:
  • Databricks
  • Delta Lake
  • PySpark
  • SQL
  • Data Modeling
  • Medallion Architecture
  • Lakehouse Architecture
  • Silver & Gold Layer Development
  • Semantic Modeling
  • Analytics Engineering
  • Data Warehousing
  • PowerBI
Nice to have Skills:
  • Databricks Apps
  • Unity Catalog
  • dbt
  • Microsoft Fabric
  • Power BI Semantic Models
  • Unstructured Data Ingestion
  • AI / GenAI Data Preparation
  • Vector Databases
  • Azure AI Services
  • RAG Framework Exposure
  • Python
  • Azure Data Factory
Job Description:
  • Partner with Data & Analytics leadership to design and build a Databricks Lakehouse environment.
  • Develop and maintain Bronze, Silver, and Gold layers within a Medallion Architecture.
  • Design and implement business-facing data models and semantic layers.
  • Create analytics-ready datasets optimized for reporting and self-service BI.
  • Build and optimize ETL/ELT pipelines using Databricks, PySpark, and SQL.
  • Support ingestion and processing of structured and unstructured data sources.
  • Collaborate with business stakeholders to define metrics, reporting requirements, and data structures.
  • Establish data quality, validation, and governance best practices.
  • Contribute to Databricks Apps and analytics platform capabilities.
  • Help define scalable architecture patterns and development standards.
  • Support AI and GenAI initiatives through data preparation and ingestion pipelines.
Ideal Candidate Profile:
  • Senior Databricks Analytics Engineer
  • Senior Data Engineer
  • Lakehouse Engineer
  • Analytics Engineer
  • Databricks Consultant
  • Databricks Data Architect (hands-on)
  • Data Platform Engineer
  • Azure Databricks Engineer
  • Data Warehouse Engineer with Lakehouse experience

C4 Technical Services logo

About C4 Technical Services

Sourced by ZipRecruiter

C4 Technical Services is a national privately held women and African American owned Staffing and Consulting company based in Minneapolis, Minnesota. We are committed to maintaining our entrepreneurial spirit as we grow and help our clients grow. This gives us the ability to be flexible and responsive as we align with client organizations to help scale their IT, Infrastructure, Digital UX, Application Development, Strategy, and Telecom to increase and support their growing business needs. We have a deliberate commitment to a partner pipeline – always on the hunt for new technology and new solutions to problems, new and old. Our areas of technical focus include D365 Consulting, Microsoft O365, SCCM, SCSM, Cyber Security, Digital UX, UI Development, DevOps, Cloud, PMO, iOS, Android, Power BI, Data Visualization, Kafka, Python, Java, .NET, Chaos Engineering, Call Center, and Ransomware attacks.

Company size

201 - 500 Employees

Headquarters location

Little Canada, MN, US

Year founded

2013

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