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Data Jobs in Memphis, TN (NOW HIRING)

Create Alert NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization.

Data Analyst

Memphis, TN · On-site

$60 - $80/hr

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests originating from various areas of the business as well as support discovery or solutions for firm data ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests originating from various areas of the business as well as support discovery or solutions for firm data ...

Data Analyst

Millington, TN · On-site

$65K - $71K/yr

Data Analyst Clearance Required: Secret - U.S. Citizenship Required Work Location: Onsite - Millington, TN Alpha Omega is searching for an experienced Data Analyst to join one of our long-term ...

The Data Analyst will work as a member of Stifel's Analyst team within the Digital Solutions group. The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests originating from various areas of the business as well as support discovery or solutions for firm data ...

Data Architect

Memphis, TN

$62 - $79.75/hr

The Data Architect -designs, builds, and governs data frameworks supporting productivity, labor, and volume analytics. This role serves as the strategic bridge between clinical, operational, and ...

Join us as a Data Scientist and support us in transforming raw data into actionable intelligence. You'll extract, clean, and analyze data to uncover trends and opportunities, ask insightful questions ...

Data Architect

Memphis, TN · On-site

$125 - $150/hr

The Data Architect -designs, builds, and governs data frameworks supporting productivity, labor, and volume analytics. This role serves as the strategic bridge between clinical, operational, and ...

Join us as a Data Scientist and support us in transforming raw data into actionable intelligence. You'll extract, clean, and analyze data to uncover trends and opportunities, ask insightful questions ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Data Engineer

Memphis, TN · On-site

$111K - $133K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

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Data information

See Memphis, TN salary details

$44.7K

$160.3K

$236.6K

How much do data jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data in Memphis, TN is $160,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $165,100.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

What are the most commonly searched types of Data jobs in Memphis, TN?

The most popular types of Data jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Data jobs?

Cities near Memphis, TN with the most Data job openings:

Infographic showing various Data job openings in Memphis, TN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $160,309 per year, or $77.1 per hour.

AWS ETL Data Engineer - HYBRID

NTT DATA Services

Memphis, TN • On-site

$97K - $162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


NTT Data rating

7.5

Company rating: 7.5 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

110th of 226 rated it services


Job description

Req ID: 382980
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AWS ETL Data Engineer - HYBRID to join our team in Memphis, Tennessee (US-TN), United States (US).
We are seeking an experienced technical resource who could design, develop, support, and enhance enterprise data platforms while ensuring compliance with privacy and data governance requirements. The role combines data engineering, systems integration, analytics, solution design, and operational support.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Spark (Scala/Python), AWS Glue, AWS Lambda, and Shell scripting.
  • Build and support ETL/ELT processes across AWS platforms, including S3, Hive, Apache Iceberg, and Amazon Redshift.
  • Develop and maintain Redshift SQL/PLSQL code, stored procedures, and data-processing frameworks.
  • Perform query tuning, performance optimization, and data-sharing implementations.
  • Support ingestion and processing of structured and semi-structured data formats including JSON, CSV, XML, ORC, Parquet, and Avro.
  • Design, enhance, and support solutions that provide a unified view of customer data across systems.
  • Integrate multiple data sources, applications, and business processes to support reporting, analytics, and customer engagement initiatives.
  • Collaborate with business and technical teams to define and implement scalable data solutions.
  • Manage and support Data Subject Requests (DSRs), including customer data erasure requests.
  • Work closely with the DPO team to ensure compliance with privacy regulations and internal policies.
  • Maintain and support the MicroStrategy Privacy Compliance module. (Very infrequent once in year or 2 years)
  • Contribute to data governance initiatives that improve data quality, consistency, and compliance.
  • Analyze and troubleshoot complex data issues using Redshift SQL, MySQL, Python/PySpark, Shell scripting, and Excel.
  • Investigate data mismatches, reporting issues, and business data anomalies.
  • Support business analysis related to customer tiers, loyalty programs, and email marketability.
  • Provide production support and root-cause analysis for critical data platform issues.

Technical Leadership & Collaboration
  • Participate in Customer 360, Privacy, Data Governance, and Phaedon initiatives.
  • Conduct code reviews and design reviews.
  • Provide cross-team technical support and problem resolution.
  • Research, design, and develop next-generation data capabilities and products.
  • Act as a subject matter expert for customer data platforms.

Primary Technologies
  • AWS: S3, EC2, Redshift (RA3/Serverless), S3 Tables, S3 Hive, AWS Glue, Lambda (Python), Kafka, Airflow, Apache Iceberg
  • Spark (Scala/Python)
  • Redshift SQL/PLSQL, MySQL
  • Data Modeling and Query Optimization

Key Strengths
  • Strong ownership and accountability
  • Strong AWS Data Engineering stack awareness
  • Ability to bridge business and technical teams
  • Expertise across engineering, analytics, compliance, architecture, and operational support
  • Adaptability and willingness to take on diverse data-related challenges

Minimum Requirements:
  • 12+ years of experience in Data Warehouse / Big Data ecosystems.
  • 5+ years in a lead /SME role
  • 5+ years with AWS architecture and data engineering, including S3, EC2, Redshift (RA3/Serverless), S3 Tables, S3 Hive, AWS Glue, Lambda (Python), Kafka, Airflow, Apache Iceberg
  • 3+ years with Spark (Scala/Python)
  • 5+ years with SQL/PLSQL, MySQL
  • 5+ years strong understanding of:
  • Data architecture & dimensional modeling
  • ETL/ELT frameworks
  • Distributed data processing
  • Cloud data platforms
  • Data governance and security

Preferred Skills:
  • Experience managing large-scale enterprise data environments.
  • Proven track record of delivering complex data programs.
  • Excellent communication and stakeholder management abilities.
  • Experience in large enterprise or global delivery environments.
  • Exposure to data modernization and cloud transformation programs.
  • Certifications in cloud platforms or data engineering.
  • Experience in regulated industries (Hospitality, Finance, Healthcare, Telecom, etc.).

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $97,725 - 162,875. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.
This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
#LI-NorthAmerica
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967