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Data Engineer Data Jobs in Tennessee (NOW HIRING)

Data Engineer

Brentwood, TN · On-site

$108.30K - $130.10K/yr

OPPORTUNITY We are seeking an experienced Data Engineer with 2-3+ years of hands-on experience to design, build, and maintain robust data solutions within our Azure/Microsoft-centric technology stack.

Engineer, Data II

Chattanooga, TN · On-site

$82.70K - $103.40K/yr

Engineer, Data II USX HEADQUARTERS 08:00-17:00 Position open to remote: Yes Grade: ES15 Compensation Range: $82,700-$103,400 Who We Are: Relentlessly Delivering Big Ideas. U.S. Xpress is one of the ...

GCP Data Engineer

Nashville, TN · On-site

$110.60K - $132.80K/yr

GCP Data Engineer: (Direct Applicants Only) - Full-Time The Senior Staff Data Engineer - API serves as a primary development resource for design, writing code, test, implementation, document ...

Data Engineer

Afton, TN · On-site +1

$100.60K - $120.80K/yr

We are seeking a Data Engineer for our First Quality Enterprises, LLC working remotely from the Eastern or Central Time Zone. The Enterprise Data and Analytics team provides strategic direction ...

Data Engineer

Lebanon, TN

$92.20K - $110.70K/yr

Data Engineer Location: Lebanon, TN If you're looking for a career where purpose meets opportunity, and where your contributions truly make a difference, Wilson Bank amp; Trust is the place for you.

Data Engineer

Lebanon, TN · On-site

$110.60K - $132.80K/yr

Data Engineer Location: Lebanon, TN If you're looking for a career where purpose meets opportunity, and where your contributions truly make a difference, Wilson Bank & Trust is the place for you.

Data Engineer

Nashville, TN · On-site

$110.60K - $132.80K/yr

Kforce has a client in Nashville, TN that is seeking a Data Engineer with exceptional SQL expertise and proven experience building scalable, complex data transformation pipelines. Snowflake ...

Data Engineer

Maryville, TN · On-site

$99.70K - $119.70K/yr

Position Summary The Data Engineer role is responsible for designing, building, and maintaining scalable data and semantic layers, implementing robust data quality checks for assigned data products ...

Sr. Data Engineer

Cordova, TN · On-site

$99K - $118.90K/yr

As a Sr. SQL Developer/Data Engineer, you will be responsible for designing, developing, and maintaining the company's data systems including data replications and data streaming pipelines, as well ...

Data Engineer

Maryville, TN · On-site

$99.70K - $119.70K/yr

Position Summary The Data Engineer role is responsible for designing, building, and maintaining scalable data and semantic layers, implementing robust data quality checks for assigned data products ...

Sr. Data Engineer

Cordova, TN · On-site

$99K - $118.90K/yr

As a Sr. SQL Developer/Data Engineer, you will be responsible for designing, developing, and maintaining the company's data systems including data replications and data streaming pipelines, as well ...

Sr. Data Engineer

Cordova, TN

$99K - $118.90K/yr

As a Sr. SQL Developer/Data Engineer, you will be responsible for designing, developing, and maintaining the company's data systems including data replications and data streaming pipelines, as well ...

Data Engineer

Lebanon, TN · On-site

$92.20K - $110.70K/yr

The Data Engineer II oversees the architecture and integrity of the data management program, ensuring efficient utilization of customer banking data and providing support across business units.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Engineer, Data II

Chattanooga, TN

$98.20K - $117.90K/yr

The Data Engineer II works with new and legacy systems to lead the way for high-quality decisions. The Engineer II contributes to the design and implementation of both relational and NoSQL data ...

Engineer, Data II

Chattanooga, TN

$98.20K - $117.90K/yr

The Data Engineer II works with new and legacy systems to lead the way for high-quality decisions. The Engineer II contributes to the design and implementation of both relational and NoSQL data ...

Data Strategy-Manager

Nashville, TN · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

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Data Engineer Data information

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

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What cities in Tennessee are hiring for Data Engineer Data jobs? Cities in Tennessee with the most Data Engineer Data job openings:
Data Engineer

Data Engineer

Career Search

Brentwood, TN • On-site

$108.30K - $130.10K/yr

Full-time

Posted 22 days ago


Job description

OPPORTUNITY

We are seeking an experienced Data Engineer with 2-3+ years of hands-on experience to design, build, and maintain robust data solutions within our Azure/Microsoft-centric technology stack. The ideal candidate will thrive in a collaborative yet independent work environment, delivering high-quality analytics solutions that drive business insights and decision-making.

SCOPE OF WORK

  • Design and implement scalable data models and pipelines using modern data engineering practices
  • Develop and maintain production-grade analytics solutions within Azure ecosystem
  • Build comprehensive dashboards and reports using Power BI to support business stakeholders
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Optimize SQL queries and data processing workflows for performance and reliability
  • Support and enhance existing data infrastructure while implementing new analytics capabilities
  • Participate in code reviews and maintain high standards for data quality and documentation
  • Respond quickly to critical data issues and provide solutions under tight deadlines

IDEAL CANDIDATE PROFILE

Required Qualifications

  • 2-3+ years of experience in analytics engineering, data engineering, or similar role
  • Advanced SQL proficiency with experience in complex query optimization and database design
  • Python programming skills for data manipulation, automation, and analytics
  • Power BI expertise including dashboard development, DAX, and data visualization best practices
  • Azure cloud platform experience including Azure Data Factory, Azure SQL, and related services
  • Data modeling experience with dimensional modeling, star/snowflake schemas, and ETL/ELT processes
  • Production environment experience including deployment, monitoring, and maintenance of data systems
  • Strong communication skills with ability to explain technical concepts to non-technical stakeholders
  • Proven ability to work independently and manage multiple priorities effectively
  • Experience working under pressure with quick turnaround requirements

Preferred Qualifications

  • Snowflake and/or Databricks experience with modern cloud data platforms
  • Private equity or financial services background - understanding of investment data, portfolio management, or financial reporting
  • Machine Learning experience including model development, deployment, or MLOps practices
  • Experience with additional Azure services (Synapse, Logic Apps, Power Platform)
  • Knowledge of data governance and compliance frameworks
  • Experience with version control (Git) and CI/CD practices
  • Advanced Python libraries experience (pandas, scikit-learn, etc.)