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Urgently Hiring Databricks Data Engineer Jobs in Tennessee

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 ...

... Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

Data Engineer II

Chattanooga, TN · On-site +1

$90K - $110K/hr

Data Engineer II Location: Chattanooga, TN Schedule: Hybrid | 4 Days Onsite, 1 Day Remote TEL is a ... Experience developing and maintaining ETL pipelines using tools such as Databricks, Apache Spark ...

Posted today

Data Engineer

Brentwood, TN · On-site

$70 - $80/hr

Data Engineer LaSalle Network is hiring for a Data Engineer with a client that is focused on government solutions and consulting services. LaSalle Network is partnering with our client to hire a Data ...

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:

Data & AI Platform Engineer

Nashville, TN

$110K - $132K/yr

Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ... This policy applies to all terms and conditions of employment, including recruiting, hiring ...

Data Strategy-Manager

Nashville, TN · On-site

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

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.

Showing results 21-40

Urgently Hiring Databricks Data Engineer information

What does a Databricks Data Engineer do?

An Urgently Hiring Databricks Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures using the Databricks platform. They work with large datasets, ensure data quality, and optimize data workflows to support analytics and business intelligence. Their role often involves collaborating with data scientists, analysts, and other stakeholders to ensure efficient data processing and storage solutions in a cloud environment. Because the position is urgently hiring, candidates are expected to have strong technical skills in Spark, Python or Scala, and experience with cloud services such as AWS, Azure, or Google Cloud.

What are the key skills and qualifications needed to thrive as a Databricks Data Engineer?

To thrive as a Databricks Data Engineer, you need strong proficiency in data engineering concepts, Python or Scala programming, and experience with big data processing frameworks, typically supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and relevant certifications such as Databricks Certified Data Engineer Associate are highly valued. Excellent problem-solving skills, collaboration, and effective communication set candidates apart in this fast-paced environment. These skills and qualifications are crucial for efficiently building scalable data pipelines, ensuring data integrity, and enabling business insights.

What are some common challenges faced by Databricks Data Engineers when onboarding to a new project, and how can they be addressed?

Databricks Data Engineers often encounter challenges such as adapting to a new team's data architecture, understanding existing ETL pipelines, and ensuring data quality within the Databricks environment. Successfully onboarding involves quickly familiarizing yourself with the team's coding standards, data governance policies, and collaboration tools. Proactively communicating with team members, documenting findings, and participating in code reviews can help bridge knowledge gaps and streamline integration into the workflow.

What is the difference between Urgently Hiring Databricks Data Engineer vs Data Scientist?

AspectDatabricks Data EngineerData Scientist
Required SkillsApache Spark, SQL, ETL, Databricks platformStatistics, Machine Learning, Python/R
Work EnvironmentData pipelines, cloud platforms, big data toolsData analysis, modeling, visualization
CertificationsDatabricks certifications, cloud platform credentialsNone specific, often advanced degrees

Urgently Hiring Databricks Data Engineers focus on building and maintaining data pipelines using Databricks and big data tools, while Data Scientists analyze data to generate insights and models. Both roles require technical expertise but differ in their core responsibilities and skill sets.

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 Urgently Hiring Databricks Data Engineer jobs in Tennessee?

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

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

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

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

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

$110K - $132K/yr

Full-time

Posted 19 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.