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Data Manipulation Jobs in Tennessee (NOW HIRING)

Data Engineer

Brentwood, TN

$108K - $130K/yr

Python programming skills for data manipulation, automation, and analytics * Power BI expertise including dashboard development, DAX, and data visualization best practices * Azure cloud platform ...

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

Proficient in SQL and data manipulation tools such as Excel, Python, or R. * BI Tools Experience: Skilled in using Power BI, Tableau, Looker, or similar platforms. * Data Methods: Familiarity with ...

Use Python (preferred) for data manipulation, modeling, and automation. Stakeholder Engagement: * Partner with TechOps, Finance, and HR teams to understand business needs and translate them into data ...

Strong experience in data manipulation using SQL on Hive/Impala or other Databases * Experience in developing and deploying model with Mahout, Spark MLLib is preferable. * Must be proficient in ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop ...

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Data Manipulation information

See Tennessee salary details

$30.9K

$75K

$123.4K

How much do data manipulation jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data manipulation in Tennessee is $75,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $88,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Manipulation position, and why are they important?

To excel in Data Manipulation roles, candidates generally need strong analytical skills, proficiency in data processing, and a relevant degree in computer science, statistics, or a related field. Experience with tools such as SQL, Python, R, Excel, and data visualization platforms, along with certifications like Microsoft Certified: Data Analyst Associate, are frequently expected. Attention to detail, problem-solving abilities, and effective teamwork are key soft skills that enhance performance in this position. These combined competencies ensure clean, reliable datasets that drive accurate business insights and data-driven decision-making.

What are some typical daily tasks involved in a Data Manipulation role?

In a Data Manipulation role, you can expect to spend your days cleaning, transforming, and organizing raw data to ensure its accuracy and usability for reporting or analysis. Responsibilities often include writing scripts to automate data workflows, identifying and correcting inconsistencies, integrating data from multiple sources, and collaborating closely with data analysts and business teams. You may also be tasked with creating documentation to track data changes and establishing protocols for data quality assurance. This hands-on work is crucial for delivering high-quality, actionable data that supports organizational objectives.

What is a Data Manipulation job?

A Data Manipulation job involves processing, organizing, and transforming raw data to make it more usable for analysis and decision-making. Professionals in this role use tools like SQL, Python, or Excel to clean, structure, and modify data. Their tasks may include merging datasets, removing duplicates, correcting errors, and optimizing data storage. This role is critical in industries that rely on accurate and well-structured data for reporting, analytics, and business intelligence.

Infographic showing various Data Manipulation job openings in Tennessee as of July 2026, with employment types broken down into 85% Full Time, 8% Part Time, and 7% Contract. Highlights an 79% In-person, 9% Hybrid, and 12% Remote job distribution, with an average salary of $75,006 per year, or $36.1 per hour.
Data Engineer

$108K - $130K/yr

Full-time

Posted 20 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.)