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Contract Databricks Data Engineer Jobs in Tennessee

Kforce Technology Staffing

Data Engineer

Nashville, TN · On-site

$110.60K - $132.80K/yr

RESPONSIBILITIES: Kforce has a client in Nashville, TN that is seeking a Data Engineer with ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Deloitte

Databricks Engineer

Hermitage, TN · On-site

The role involves building and supporting Databricks environments, developing data solutions, and ... Engineering, or equivalent experience • 5+ years of experience with Databricks platform ...

Deloitte

Databricks Manager

Nashville, TN

Bachelor's degree 6+ years of experience delivering data engineering, analytics, or cloud data platform solutions 3+ years of experience with Databricks and Apache Spark 3+ years of experience with ...

Pwc

Oracle MDM Consultant - Senior Associate

Nashville, TN · On-site

$77K - $202K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate - Managing consulting engagements pertaining to Data Architecture, MDM ...

Armaninollp

Data & AI Platform Engineer

Nashville, TN

$110.60K - $132.80K/yr

Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ... of contract. Certain states require us to disclose the pay range and benefits summary for job ...

Arrowminds inc

Senior Staff Data Engineer

Nashville, TN

$102.40K - $139.10K/yr

Contract Contract Length: 12 Months Nashville, TN (Onsite) Position Summary The Sr Staff Data Engineer will be part of the team in Nashville, TN . The Senior Staff Data Engineer - API serves as a ...

Premise Health

Data Engineering Vice President

Brentwood, TN · On-site

$170.30K - $219.50K/yr

Drive adoption and optimization of Databricks, Fivetran, and other core platform technologies ... Maintain full accountability for department budget, vendor relationships, and platform contracts ...

Pwc

Data Strategy-Manager

Nashville, TN

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data ...

Deloitte

Databricks Manager

Memphis, TN · On-site +1

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Monogram Health

DevOps Engineer

Brentwood, TN · On-site

$50 - $68.25/hr

... data platform. Responsibilities : • Develop and maintain CI/CD pipelines in Azure DevOps to deploy notebooks, jobs, and workflows to Azure Databricks. • Integrate Databricks Repos with Azure ...

Deloitte

Databricks Manager

Nashville, TN · On-site +1

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

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Contract Databricks Data Engineer information

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

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 some 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.

What are Contract Databricks Data Engineers?

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.
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Contract Databricks Data Engineer jobs near you
Data Engineer-BI Architect

Data Engineer-BI Architect

Ring Container Technologies

Oakland, TN • On-site

Full-time

Posted 26 days ago

Ring Container Technologies rating

7.9

Company rating: 7.9 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

29th of 109 rated packaging manufacturers

Job description

Position Overview
The Data Engineer - Business Intelligence Architect is a hands-on technical leader responsible for end-to-end ownership of the enterprise data pipeline and analytics layer. This includes ingesting and transforming raw data, and designing, building, and optimizing enterprise analytics solutions. This role combines deep technical execution with architectural ownership, modern data modeling, and advanced analytics.
The role bridges data engineering and business intelligence architecture, ensuring that data is not only available and reliable, but also well-modeled, governed and consumable for decision making across the organization.
Key Responsibilities
  • Design, build, and maintain end-to-end BI and analytics solutions, data engineering pipelines, semantic models, and BI tools.
  • Provide hands-on support for the existing analytics environment (SQL Server, SSIS, SSAS, SSRS, Power BI) while planning and executing phased migrations to new platform.
  • Balance run-the-business BI support with platform modernization initiatives.
  • Identify, prioritize, and refactor legacy BI assets for migration or coexistence with new platform solutions.
  • Serve as a technical lead, actively contributing code while collaborating on architectural direction and best practices.
  • Architect and optimize data ingestion, transformation, and orchestration pipelines.
  • Build and maintain enterprise semantic layers and dimensional models.
  • Mentor BI developers through hands-on guidance, code reviews, and technical coaching.
  • Diagnose and resolve performance, reliability, and data quality issues across legacy and Fabric platforms.

Required Skills & Qualifications
  • Strong analytical and systems thinking mindset
  • Ability to translate business questions into scalable data and BI solutions
  • Expert-level experience designing and building enterprise BI solutions.
  • Hands-on experience with Microsoft Fabric or Databricks and hybrid BI architecture.
  • Strong proficiency in SQL Server, SSIS, SSAS, SSRS, and Power BI.
  • Advanced SQL development and performance tuning skills.
  • Deep understanding of data warehousing, lakehouse architecture, and dimensional modeling.
  • Exposure to ERP systems and complex enterprise data environments.
  • Strong communication skills and ability to work directly with business stakeholders.

Preferred / Plus Qualifications
  • Python skills for analytics, automation, and data processing.
  • Experience with machine learning or predictive analytics in a BI context.
  • Experience with Microsoft Fabric
  • Familiarity with modern ML frameworks and model integration.
  • Experience with Azure-based analytics services and enterprise data integration.

Education & Experience
  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  • 7+ years of experience in BI, analytics, or data platform development.
  • 3+ years in a senior, lead, or architect-level role with significant hands-on responsibilities.

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