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Data Engineer Data Analyst Jobs in Tennessee (NOW HIRING)

Dollar General

Principal Data Engineer

Goodlettsville, TN · On-site

$107K - $129K/yr

The Principal Data Engineer supports software developers, database architects, data analysts, and data scientists on data initiatives, ensuring optimal data delivery and architecture. This position ...

Pwc

Data Strategy-Manager

Nashville, TN · On-site

$99K - $232K/yr

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

Dollar General

Principal Data Engineer

Goodlettsville, TN · On-site

$107K - $129K/yr

The Principal Data Engineer supports software developers, database architects, data analysts, and data scientists on data initiatives, ensuring optimal data delivery and architecture. This position ...

AllianceBernstein Holding L.P.

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Work closely with data analysts, engineers, and business teams to understand data requirements and improve accessibility. * Collaborate on improving internal data engineering processes, documentation ...

AllianceBernstein

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Work closely with data analysts, engineers, and business teams to understand data requirements and improve accessibility. * Collaborate on improving internal data engineering processes, documentation ...

FOCUSPOINT

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

Data Analyst Location: Franklin, TN; Brentwood, TN; Nashville, TN Employment Type: Contract Pay ... You'll work directly with stakeholders, engineers, operators, and senior leaders to uncover trends ...

Pwc

Data Governance- Manager

Nashville, TN · On-site

$99K - $232K/yr

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

LHH US

Data Analyst

Nashville, TN

$60K/yr

Analyze large and complex datasets to identify trends, risks, opportunities, and performance ... Collaborate with data engineering teams to support data warehouse, ETL, and data integration ...

Medisolv, Inc

$99K - $119K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and load clinical, financial and administrative healthcare data and health plan data to feed our suite of ...

LHH US

Data Analyst

Nashville, TN · On-site

$60K/yr

Analyze large and complex datasets to identify trends, risks, opportunities, and performance ... Collaborate with data engineering teams to support data warehouse, ETL, and data integration ...

Vaco by Highspring

Data Engineer

Nashville, TN · On-site

$58/hr

You''ll work closely with developers, analysts, product owners, and business stakeholders to build data pipelines, improve data quality, and deliver reliable data products that support operational ...

Monogram Foods

Engineer, Data

Memphis, TN · On-site

$111K - $133K/yr

This position requires collaboration with business analysts and stakeholders to meet their data needs. If you have a background in data engineering, proficiency in Azure tools, and a drive for ...

Monogram Foods

Engineer, Data

Memphis, TN

$111K - $133K/yr

This position requires collaboration with business analysts and stakeholders to meet their data needs. If you have a background in data engineering, proficiency in Azure tools, and a drive for ...

Stifel

Data Analyst

Memphis, TN

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Understands client/server computing architecture, user interfaces and application programing ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Tennessee

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Tennessee? For Data Engineer Data Analyst jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Tennessee look for? The top searched job categories for Data Engineer Data Analyst jobs in Tennessee are:
What cities in Tennessee are hiring for Data Engineer Data Analyst jobs? Cities in Tennessee with the most Data Engineer Data Analyst job openings:
Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Tennessee as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 81% In-person, 8% Hybrid, and 11% Remote job distribution.

Principal Data Engineer

∙ Elijah House Foundation

Goodlettsville, TN • On-site

$110 - $170/hr

Other

Posted 5 days ago

Job description

Company Overview

A Principal Data Engineer is responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. This role involves building and optimizing data systems from the ground up, ensuring that data delivery architecture is consistent throughout ongoing projects.

The Principal Data Engineer supports software developers, database architects, data analysts, and data scientists on data initiatives, ensuring optimal data delivery and architecture. This position requires expertise in data pipeline building and data wrangling, with a focus on enhancing data systems for improved efficiency and performance.

Job DetailsDuties & Responsibilities: What major responsibilities does this position have and what percentage of time is spent on completing them? (Typically 5-7)
  • Develop, construct, test, and maintain data architectures: responsible for creating and maintaining optimal data pipeline architectures necessary for the organization's operational efficiency. 65%
  • Collaborate with data scientists and other stakeholders: expected to collaborate with data scientists, business analysts, IT professionals, and management to assist with data-related technical issues and support their data infrastructure needs. 10%
  • Assemble and prepare large, complex data sets to meet functional business requirements: required to work with different teams to understand their data needs and ensure those needs are met. 10%
  • Build analytics tools: This will involve developing tools that utilize the data pipeline to provide actionable insights into key business performance metrics. 5%
  • Maintain data security and compliance: ensure systems meet industry practices and business requirements for data privacy and protection. 5%
  • Identify, design, and implement internal process improvements: This includes optimizing data delivery, automating manual processes, and re-designing infrastructure for greater scalability. 3%
  • Keep up-to-date with the latest technology trends: Continually learn and adapt to new technologies that could improve existing systems 2%
Knowledge, Skills and Abilities (KSAs): What KSAs are required to perform this job?
  • Hands on experience with programming languages (e.g. Python, SQL, GoLang)
  • Knowledge with SQL database design concepts and Data Models
  • Great numerical and analytical skills
  • Degree in Computer Science, IT, or similar field; a Master’s is a plus
  • Data engineering certification (e.g., Cloud Engineer, Data Engineer) is a plus
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including MongoDG, Postgres and/or Cassandra.
  • Experience with data pipeline and workflow management tools: Airflow, Dataflow, Composer, etc.
  • Experience with GCP, Snowflake, Azure cloud services: BQ, Dataflow, Redshift
  • Experience with stream-processing systems: Kafka, Spark-Streaming, etc.
  • Good Knowledge of software engineering principles, methodologies and current best practices.
  • Able to multitask and shift priorities as needed.
  • Able to use BI Tools for data analysis and data QA.
Qualifications

Work Experience &/or Education: What are the minimum education and/or experience requirements necessary to perform this job?

  • 9+ years experience and a degree in information technology or computer science with additional vendor-specific certification.
  • BS or MS degree in Computer Science or a related technical field
  • 4+ years of Python or Java development experience
  • 4+ years of SQL experience (No-SQL experience is a plus)
  • 4+ years of experience with schema design and dimensional data modeling
  • Ability in managing and communicating data warehouse plans to internal clients
  • Experience designing, building, and maintaining data processing systems
  • Experience working with a cloud platform such as Snowflake / Azure or Databricks
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