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Remote Databricks Data Engineer Jobs in Hermitage, TN

Senior Data Engineer

Franklin, TN · Remote

$102K - $138K/yr

Remote-USA Revecore is embarking on re-architecting and modernizing its core platform. The Data ... The Senior Data Engineer will join the Technology function, solving complex data problems for the ...

Work closely with business stakeholders and data engineering teams to define requirements, validate ... Use SQL and Azure Databricks to collaborate effectively on data pipelines and data model ...

Software Engineering Advisor - eviCore

Franklin, TN · Remote

$113K - $135K/yr

As a Software Engineering Advisor, you will play a critical role in building and optimizing ... Experience implementing Azure-based data solutions (ADLS, Azure Databricks, Synapse, Azure Data ...

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do Data Analysis & Manipulation ... Cloud Azure Databricks, Version Control: GitLab, IDE: VS Code Work-life balance is at the ...

Remote-USA Revecoreis embarking on re-architecting and modernizing its core platform. The Data ... Collaborate with Data Engineering to support data ingestion, file processing, and pipeline ...

This position is Remote. We offer competitive compensation and an extraordinary benefits package ... engineering pipelines that prepare raw call center operational data from multiple sources for ...

This position is Remote. We offer competitive compensation and an extraordinary benefits package ... engineering pipelines that prepare raw call center operational data from multiple sources for ...

This position is Remote. We offer competitive compensation and an extraordinary benefits package ... engineering pipelines that prepare raw call center operational data from multiple sources for ...

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Remote Databricks Data Engineer information

See Hermitage, TN salary details

$39K

$113.7K

$155.5K

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

As of Aug 11, 2026, the average yearly pay for remote databricks data engineer in Hermitage, TN is $113,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $120,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
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What cities near Hermitage, TN are hiring for Remote Databricks Data Engineer jobs? Cities near Hermitage, TN with the most Remote Databricks Data Engineer job openings:

AI Data Engineer - Remote / Telecommute

CYNET SYSTEMS

Nashville, TN • Remote

$55/hr

Contractor

Posted 27 days ago


Job description

Job Overview:

Requirement/Must Have:

  • 1+ years of experience in Python, SQL, and PySpark.
  • Experience in ETL/ELT development.
  • Knowledge of Data Modeling (Star Schema, Snowflake Schema).
  • Familiarity with Apache Spark and Databricks.
  • Experience with Airflow, Dataflow, Informatica, ADF, Synapse, or equivalent tools.
  • Understanding of Relational & NoSQL Databases.
  • Knowledge of Data Warehousing concepts.
  • Experience with REST APIs and Microservices.
  • Familiarity with Git, CI/CD, and DevOps practices.

Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  • Build and optimize data lakes, data warehouses, and AI-ready data platforms.
  • Develop ingestion, transformation, and orchestration frameworks using cloud-native technologies.
  • Prepare, cleanse, and engineer datasets for AI/ML and Generative AI workloads.
  • Integrate Large Language Models (LLMs), vector databases, embeddings, and RAG (Retrieval-Augmented Generation) pipelines into enterprise solutions.
  • Implement data governance, security, lineage, and quality controls.
  • Collaborate with Data Scientists, AI Engineers, Business Analysts, and Solution Architects.
  • Monitor, troubleshoot, and optimize data pipelines and platform performance.
  • Automate deployment, testing, and monitoring of data engineering workflows.
  • Create technical documentation and data dictionaries for enterprise data assets.

Skills:

  • Machine Learning fundamentals.
  • Data preparation for AI models.
  • Vector Databases (Pinecone, ChromaDB, FAISS).
  • LLM Integration (OpenAI, Azure OpenAI, Gemini, Claude, etc.).
  • RAG Architecture.
  • Embeddings and Semantic Search.
  • Prompt Engineering fundamentals.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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