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Databricks Analyst Jobs (NOW HIRING)

Senior Databricks

Chanhassen, MN · On-site

$124K - $164K/yr

Senior Databricks Analytics Engineer Contract-(3-6 months) Hybrid - Chanhassen, MN (Local Preferred) Role Overview: * We are seeking a Senior Databricks Analytics Engineer to help design and build a ...

Senior Financial Analyst

Bellevue, WA · On-site

$137K - $189K/yr

GAQ227R124 Databricks is looking for a Senior Financial Analyst to join the Sales Finance team. You will report to the Sr. Finance Manager. The team's primary goal is to improve forecast accuracy ...

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power ... Strong analytical skills-comfortable working with SQL, product usage data, and operational ...

Program Analyst, Legal Ops

Bellevue, WA · On-site

$92K - $126K/yr

What we look for Databricks is looking for an experienced Program Analyst, Legal Ops (Commercial) to support the Databricks Commercial Legal team's AI and scaling initiatives, including working with ...

What we look for Databricks is looking for an experienced Program Analyst, Legal Ops (Commercial ... to support the Databricks Commercial Legal team's AI and scaling initiatives, including working ...

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/yr

Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to ...

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$144K - $190K/yr

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power ... Strong analytical skills-comfortable working with SQL, product usage data, and operational ...

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Senior Databricks

Chanhassen, MN • On-site

C4 Technical Services
201 - 500 employees

$124K - $164K/yr

Other

Posted 20 days ago


Job description

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

Role Overview:

  • We are 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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