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Extract Transfer Load Data Jobs in Tennessee (NOW HIRING)

Data Engineer III

Memphis, TN

$119K - $143K/yr

Understand data models/schemas and implement ETL (Extract, Transform, and Load) processes to transform raw data into a usable format in the destination. * Responsible for monitoring and optimizing ...

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Understand data models/schemas and implement ETL (Extract, Transform, and Load) processes to transform raw data into a usable format in the destination. * Responsible for monitoring and optimizing ...

Data Engineer III

Memphis, TN

$119K - $143K/yr

Understand data models/schemas and implement ETL (Extract, Transform, and Load) processes to transform raw data into a usable format in the destination. * Responsible for monitoring and optimizing ...

Build and maintain ETL/ELT pipelines supporting the Tuva Data Model. * Work with healthcare data including claims, eligibility, provider, clinical, and revenue cycle data. * Transform and structure ...

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Analyze and optimize existing SQL jobs and ETL workflows to significantly improve execution time, resource utilization, and overall system efficiency. * Build and manage serverless data pipelines ...

GCP Data Architect

Nashville, TN · On-site

$61.50 - $79.25/hr

Design and Develop conformed data models (star/snowflake schemas) and ETL/ELT processes for analytics and BI tools (MicroStrategy, Looker, Power BI). * Pipeline Development: Build scalable pipelines ...

Senior Data Engineer

Nashville, TN · On-site

$160K - $220K/yr

Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data * Maintain production processes by optimizing complex code using advanced algorithmic concepts

Senior Data Engineer

Nashville, TN · On-site

$160K - $220K/yr

Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data * Maintain production processes by optimizing complex code using advanced algorithmic concepts

Senior Data Engineer

Nashville, TN · On-site

$160K - $220K/yr

Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data * Maintain production processes by optimizing complex code using advanced algorithmic concepts

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Extract Transfer Load Data information

What is the difference between Extract Transfer Load Data vs Data Analyst?

AspectExtract Transfer Load DataData Analyst
Primary RoleExtracts, transforms, and loads data for systems or databasesAnalyzes data to generate insights and reports
Skills & CertificationsSQL, ETL tools, data management certificationsSQL, data visualization, statistical analysis
Work EnvironmentData warehouses, ETL pipelines, IT departmentsBusiness intelligence, analytics teams, offices
Industry UsageData integration, database managementBusiness analysis, decision-making

While both roles involve working with data, Extract Transfer Load Data focuses on data extraction, transformation, and loading processes, often in IT or database environments. Data Analysts interpret data to provide insights and support business decisions. Understanding these differences helps clarify career paths and job expectations in data-related fields.

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Data Engineer III

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Stifel rating

8.2

Company rating: 8.2 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole.

Let’s talk about how you can find your place here at Stifel, where success meets success.


The Data Engineer III is responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform. The Data Engineer III works with large volumes of data, ensuring its quality, reliability, and accessibility. Tasks may include data ingestion, transformation, storage, data sharing and consumption, and implementing data security and privacy measures. This role is crucial in enabling efficient and effective data-driven decision-making.


  • Build and maintain scalable and reliable data pipelines, ensuring the smooth flow of data from various sources to the desired destinations in the AWS cloud environment.
  • Work closely with stakeholders to understand their data requirements and design data solutions that meet their needs.
  • Understand data models/schemas and implement ETL (Extract, Transform, and Load) processes to transform raw data into a usable format in the destination.
  • Responsible for monitoring and optimizing the performance of data pipelines, troubleshooting any issues that arise, and ensuring data quality and integrity.

  • Proficient in programming languages such as Python and SQL for database querying and manipulation.
  • Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data Zone, Amazon Kinesis, MSK, and Amazon EMR.
  • Knowledge of database design principles and experience with database management systems.
  • Experience with data storage technologies, such as relational databases (e.g., SQL Server, PostgreSQL) and distributed storage systems (e.g., PySpark).
  • Understanding of Extract, Transform, Load (ETL) processes and experience with ETL tools like AWS Glue and SQL Server Integration Services is essential.
  • Skilled at integrating disparate data sources and ensuring data quality and consistency.
  • Understanding and experience with orchestration tools like Apache Airflow, AWS Glue Workflows, AWS Step Functions, and notification services.
  • Familiarity with IAC, such as Terraform, git, and DevOps pipelines.
  • Strong analytical thinking and problem-solving abilities are essential to effectively identify and resolve data-related issues.
  • Ability to analyze complex data sets, identify patterns, and derive actionable insights.
  • Awareness of data governance practices, data privacy regulations, and security protocols is crucial.
  • Experience implementing data security measures and ensuring compliance with relevant standards is desirable.

  • Minimum Required: Bachelor's Degree in Computer Science, related field, or equivalent experience.
  • Minimum Required: 7+ years of post-bachelor progressive experience in data engineering.

  • Minimum Required: None.

  • Proficient in the following computer languages:
    • Python
    • SQL
  • AWS technologies to include:
    • Glue
    • S3
    • Redshift
    • Lambda
    • Lake Formation
    • DataZone

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Stifel is more than 130 years old and still thinking like a start-up.  We are a global wealth management and investment banking firm serious about innovation and fresh ideas.  Built on a simple premise of safeguarding our clients’ money as if it were our own, coined by our namesake, Herman Stifel, our success is intimately tied to our commitment to helping families, companies, and municipalities find their own success.

While our headquarters is in St. Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more than 400 other locations.  Stifel is home to approximately 9,000 individuals who are currently building their careers as financial advisors, research analysts, project managers, marketing specialists, developers, bankers, operations associates, among hundreds more.  Let’s talk about how you can find your place here at Stifel, where success meets success.

At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401k, wellness initiatives, life insurance, and paid time off.

Stifel is an Equal Opportunity Employer.


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