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Data Engineer Data Bricks Jobs in Springfield, TN

Fortitude Re

AVP, Data Solutions Engineering

Nashville, TN · Hybrid

$110K - $132K/yr

The Assistant Vice President, Data Solutions Engineering will be responsible for building operational data pipelines and delivering fully documented datasets that account for data integrations. This ...

Metropolis

Senior Data Engineer

Nashville, TN

$160K - $220K/yr

Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to ...

Metropolis

Senior Data Engineer

Nashville, TN

$160K - $220K/yr

Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to ...

Metropolis

Senior Data Engineer

Nashville, TN · On-site

$160K - $220K/yr

Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to ...

Mars

Site IE Data Engineer

Lebanon, TN

Site IE Data Engineer Industrial Engineer T1 Lebanon, TN The Site IE data engineer will partner with the site teams to develop and execute the overall site FI activities to improve site performance ...

Pwc

Data Engineer - Senior Associate

Nashville, TN

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

Now Brewing - Data Engineers sr #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also ...

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

Now Brewing - Data Engineers sr #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also ...

Deloitte

Cyber Data Protection Manager

Nashville, TN · Remote

$107K - $144K/yr

Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ... e.g., Snowflake, Data bricks) * Experience with third-party DSPM, data discovery, or data ...

Noblesoft Technologies

Data Engineers

Nashville, TN · On-site

$110K - $132K/yr

Role: Data Engineers with GCP with experience on data processing using Dataflow and Dataproc. Location: Nashville, TN - Onsite Requirements: · Bachelor's degree in computer science, related ...

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All JobsData Engineer Data Bricks JobsData Engineer Data Bricks Jobs in Springfield, TN

Data Engineer Data Bricks information

See Springfield, TN salary details

$42K

$122.5K

$167.6K

How much do data engineer data bricks jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data engineer data bricks in Springfield, TN is $122,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $129,900.00 per year, depending on experience, location, and employer.

What are Data Engineer Data Bricks?

A Data Engineer specializing in Databricks is a professional who designs, builds, and maintains data pipelines and infrastructure using the Databricks platform. Databricks is a cloud-based data analytics platform that facilitates big data processing, machine learning, and collaborative analytics. Data Engineers use Databricks to process large datasets, automate data workflows, and support data-driven decision-making for organizations. Their responsibilities often include cleaning and transforming data, optimizing data storage, and ensuring efficient data movement across systems.

What is the difference between Data Engineer Data Bricks vs Data Engineer Apache Spark?

AspectData Engineer Data BricksData Engineer Apache Spark
CredentialsTypically requires cloud platform certifications (Azure, AWS), Spark knowledge, and data engineering skillsRequires Spark expertise, programming skills, and often similar cloud certifications
Work EnvironmentCloud-based platforms with integrated tools, collaborative environment, managed servicesOn-premises or cloud, more manual setup, flexible environment
Industry UsagePopular in cloud-centric companies, data lakes, and analytics platformsWidely used across industries for big data processing, on-premises or cloud

Data Engineer Data Bricks focuses on cloud-based, managed Spark environments with integrated tools, while Data Engineer Apache Spark emphasizes core Spark skills applicable in various environments. Both roles require similar technical knowledge but differ mainly in platform and deployment context.

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

To thrive as a Data Engineer specializing in Databricks, you need strong expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, SQL, cloud platforms (like AWS or Azure), and relevant certifications (such as Databricks Certified Data Engineer) is typically required. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating business needs into data solutions. These skills ensure efficient data pipeline development, reliable data management, and impactful analytics in data-driven organizations.

What are some common challenges Data Engineers face when working with Databricks, and how can they be addressed?

Data Engineers working with Databricks often encounter challenges related to optimizing large-scale data pipelines, managing cluster resources efficiently, and ensuring seamless data integration across varied sources. Addressing these issues typically involves staying current with Databricks best practices, such as implementing Delta Lake for reliable data storage, using job scheduling to automate workflows, and proactively monitoring cluster performance. Collaborating closely with data scientists and analysts is also crucial to align data models and streamline the analytics process.
What are popular job titles related to Data Engineer Data Bricks jobs in Springfield, TN? For Data Engineer Data Bricks jobs in Springfield, TN, the most frequently searched job titles are:
Data Engineer Data Bricks jobs near you

AVP, Data Solutions Engineering

Fortitude Re

Nashville, TN • Hybrid

$110K - $132K/yr

Other

Posted 5 days ago

Job description

The Assistant Vice President, Data Solutions Engineering will be responsible for building operational data pipelines and delivering fully documented datasets that account for data integrations. This role is engaged and aligned with our business partners to understand their needs and build data engineering solutions to address these needs. The role will report to the VP, Data Solutions Engineering.  

This role will be based in Nashville, TN on a hybrid basis.

What You Will Do: 

  • Deliver well-architected data solutions in partnership with data platform engineers, data governance, data science, and data analytics/visualization peers. 

  • Partner with business teams to design data solutions with the ability to mentor early career data engineers.  

  • Lead build-out and deployment of data pipelines. 

  • Ensure reliability, scalability and governance of data pipelines. 

What You Will Have: 

  • Bachelor's degree in Math, Computer Science or Engineering. 

  • Minimum experience of seven years in a growing data engineering role, with at least five years in programming (Python) and SQL. 

  • Strong understanding of ETL/ELT, APIs, Cloud, data operations. 

  • Domain knowledge of Actuarial, Investment and Finance within Insurance/Reinsurance industry is a plus. 

  • Robust knowledge of data lakes, data governance and modern data quality techniques. 

  • Excellent analytical, problem solving and conceptual skills. 

  • Strong verbal and written skills. 

#LI-Hybrid

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