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Freelance Databricks Data Engineer Jobs in Tennessee

Providence Groups LLC

Data Engineer

White House, TN · On-site

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data ... Fabric, Databricks, Snowflake, Azure Synapse, or equivalent. · Experience building ETL/ELT ...

Pwc

GenAI Python Systems Engineer-Manager

Nashville, TN

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Stackruit Ltd.

Machine Learning Engineer

Nashville, TN · On-site

Be an ML Engineer & Make a Difference in Healthcare (US Remote-First with Nashville Option) Join ... Experience with healthcare data and Databricks. * CI/CD process knowledge (GitHub). What You'll Do:

Armaninollp

Data & AI Platform Engineer

Nashville, TN · On-site

$110K - $132K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

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 ...

Wellpath

Data Engineering Manager

Franklin, TN · Hybrid

Familiarity with modern data engineering tools such as Databricks, Delta Lake, or Snowflake preferred. * Exposure to master data management (MDM) or enterprise data governance frameworks preferred.

Pwc

Data Governance- Manager

Nashville, TN · On-site

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the ...

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Freelance Databricks Data Engineer information

What is a freelance Databricks data engineer?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

What are the key skills and qualifications needed to thrive as a freelance Databricks data engineer?

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.

How do freelance Databricks data engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

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

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

What are the most commonly searched types of Databricks Data Engineer jobs in Tennessee?

The most popular types of Databricks Data Engineer jobs in Tennessee are:

What are popular job titles related to Freelance Databricks Data Engineer jobs in Tennessee?

For Freelance Databricks Data Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Freelance Databricks Data Engineer jobs in Tennessee look for?

The top searched job categories for Freelance Databricks Data Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Freelance Databricks Data Engineer jobs?

Cities in Tennessee with the most Freelance Databricks Data Engineer job openings:

Freelance Databricks Data Engineer jobs near you

Data Engineer

Providence Groups LLC

White House, TN • On-site

$110K - $132K/yr

Full-time

Posted 20 days ago

Job description

Description:About VantageWorks

VantageWorks, LLC on behalf of The Providence Groups, LLC, is a managed services provider (MSP) that partners with entrepreneurial business owners to provide turnkey solutions across operations, finance, human resources, technology, and strategic services. We help businesses scale with confidence by building the people, processes, and technology that drive long-term success.


Position Summary

VantageWorks is seeking a Data Engineer to help build and support the data infrastructure that powers our growing organization. You'll develop data pipelines, improve data quality, and create scalable solutions that support reporting, business intelligence, and future AI initiatives. This is an excellent opportunity for someone who enjoys solving complex problems and wants to help build a modern data platform from the ground up.


Key Responsibilities

· Design, build, and maintain scalable ETL/ELT data pipelines.

· Integrate data from APIs, flat files, cloud platforms, and operational systems.

· Clean, validate, transform, and document data.

· Write, optimize, and troubleshoot SQL queries.

· Develop Python scripts for automation and data transformation.

· Collaborate with business stakeholders.

· Support data quality and governance.

· Contribute to cloud-based data architecture.

· Partner with external consultants.

· Help establish the foundation for AI and advanced analytics.


Why Join Our Team?

· Be an early member of a growing technology function.

· Influence the future of our data ecosystem.

· Collaborate directly with executive leadership.

· Receive mentorship from experienced data professionals.

· Work across diverse industries.

· Grow with an organization investing in data and AI.

Requirements:Required Qualifications

· 1–3 years of relevant experience.

· Strong SQL skills- writing, debugging, and optimizing queries against real business data

· Python (Pandas or similar) for data work.

· Experience with a cloud data platform such as Microsoft Fabric, Databricks, Snowflake, Azure Synapse, or equivalent.

· Experience building ETL/ELT pipelines.

· Experience integrating APIs and flat-file data.

· Strong analytical and problem-solving skills.

· Ability to work independently and collaboratively

· Ability to work with real-world data: profiling, cleaning, validating, documenting


Preferred Experience

· 3–5 years of experience.

· Exposure to Lakehouse/Medallion architecture (bronze, silver, gold)

· ERP, Payroll/HCM, CRM, or EHR data.

· Power BI semantic models.

· Exposure to AI/LLM tooling (APIs, embeddings, retrieval)

· Git and version control


What Makes Someone Successful

· Curious and eager to solve business problems.

· Comfortable building new processes.

· Self-directed and proactive.

· Passionate about clean, scalable data.

· Strong communicator with technical and non-technical audiences.

Apply