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Azure Etl Developer Jobs in Raleigh, NC (NOW HIRING)

Senior Data Engineer

Durham, NC

$102K - $139K/yr

... using Azure. Develops Extract Transform and Load and Extract Load and Transform (ETL/ELT ... Education and Experience : Bachelor's degree in Computer Science, Engineering, Information ...

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

... using Azure. Develops Extract Transform and Load and Extract Load and Transform (ETL/ELT ... Education and Experience : Bachelor's degree in Computer Science, Engineering, Information ...

... ETL/ELT tools - Developing and deploying scalable data storage solutions using AWS, Azure and GCP ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Databricks Lead

Raleigh, NC · On-site

$99K - $131K/yr

The ideal candidate will have extensive experience in data engineering, ETL development, and production support within an Azure environment. Responsibilities : • We are seeking a hands-on ...

Entry Level Data Engineer

Durham, NC · On-site

$103K - $124K/yr

Entry Level Data Engineer We are hiring a Data Engineer to support the design and maintenance of data pipelines and ETL processes. The candidate will help manage large-scale data systems.

Data Modeler Engineer

Raleigh, NC

$53.25 - $69/hr

Collaborate with ETL teams to design scalable and efficient enterprise data pipelines * Ensure ... Collaborate with business teams, architects, ETL developers, and stakeholders on enterprise data ...

Test Lead

Raleigh, NC · On-site

$46.25 - $63/hr

... data engineers, and business stakeholders to ensure successful migration, release quality, and production stability. Key Responsibilities: * Lead end-to-end ETL and Data Warehouse testing strategy ...

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Azure Etl Developer information

See Raleigh, NC salary details

$10

$56

$77

How much do azure etl developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for azure etl developer in Raleigh, NC is $56.77, according to ZipRecruiter salary data. Most workers in this role earn between $51.39 and $63.80 per hour, depending on experience, location, and employer.

What is an Azure ETL Developer?

An Azure ETL Developer is an IT professional who specializes in designing, developing, and managing Extract, Transform, Load (ETL) processes using Microsoft Azure cloud services. They are responsible for moving and transforming data from various sources into a centralized data warehouse or data lake on Azure, ensuring data is accurate, reliable, and accessible for analysis. Typical tools and services they use include Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Their role is critical in supporting business intelligence, analytics, and decision-making by delivering clean and organized data.

What are the key skills and qualifications needed to thrive as an Azure ETL Developer, and why are they important?

To thrive as an Azure ETL Developer, you need expertise in data integration, SQL programming, and a solid understanding of data warehousing concepts, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Factory, Azure SQL Database, and ETL tools, as well as relevant certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills and qualifications ensure efficient, reliable data pipelines and seamless collaboration across data and business teams.

What are some common challenges faced by Azure ETL Developers when integrating data from multiple sources?

Azure ETL Developers often encounter challenges such as handling data consistency across various formats and sources, ensuring data quality during transformation, and optimizing pipeline performance for large datasets. Collaborating with data engineers, analysts, and business stakeholders is key to understanding requirements and troubleshooting issues. Familiarity with Azure services like Data Factory, Data Lake, and SQL Databases helps streamline integration processes and address these complexities efficiently.

What is the difference between Azure Etl Developer vs Data Engineer?

AspectAzure Etl DeveloperData Engineer
Primary FocusDesigning and implementing ETL processes on AzureBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsAzure Data Factory, SQL, Azure Data Lake, certifications like DP-203SQL, Python, Spark, cloud platforms, certifications vary
Work EnvironmentAzure cloud environment, data integration projectsData infrastructure, cloud or on-premises environments
Industry UsageData integration roles within organizations using AzureData architecture and pipeline development across industries

While both roles involve working with data pipelines, an Azure Etl Developer specializes in creating ETL processes specifically on Azure platforms, focusing on data integration tasks. A Data Engineer has a broader scope, including designing and maintaining data infrastructure and pipelines across various environments. The roles often overlap, especially in organizations leveraging Azure, but their core responsibilities differ in scope and focus.

What are popular job titles related to Azure Etl Developer jobs in Raleigh, NC? For Azure Etl Developer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Azure Etl Developer jobs in Raleigh, NC look for? The top searched job categories for Azure Etl Developer jobs in Raleigh, NC are:
Senior Data Engineer

$102K - $139K/yr

Full-time

Posted 4 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

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Job description

Job Description:

Position Description:

Performs distributed application design and development, using Informatica, Python, SQL, Oracle, and Control M. Designs and architects Cloud native applications using Azure. Develops Extract Transform and Load and Extract Load and Transform (ETL/ELT) strategies. Advances recordkeeping systems by writing complex SQL queries using Oracle Procedural Language/Structured Query Language (PL/SQL). Manipulates large sets of data using relational database technologies -- Oracle SQL and PL/SQL.

Primary Responsibilities:

  • Develops original and creative technical solutions to on-going development efforts.
  • Designs applications or subsystems on major projects and for/in multiple platforms.
  • Develops applications for multiple projects supporting several divisional initiatives.
  • Supports and performs all phases of testing leading to implementation.
  • Assists in the planning and conducting of user acceptance testing.
  • Develops comprehensive documentation for multiple applications supporting several corporate initiatives.
  • Responsible for post-installation testing of any problems.
  • Establishes project plans for projects of moderate scope.
  • Works on complex assignments and often multiple phases of a project.
  • Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Data Engineer (or closely related occupation) performing complex data analysis to design, document, and implement data warehouse and ETL solutions.

Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Data Engineer (or closely related occupation) performing complex data analysis to design, document, and implement data warehouse and ETL solutions.

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise ("DE") designing, improving performance, and organizing complex SQL queries, procedures, functions, packages, indexes, and partitions for record keeping, using SQL Server, Oracle, MySQL, Teradata, and Netezza; gathering and analyzing requirements, and performing application design and development, using PL/SQL and Informatica; and performing software application testing to meet functional and non-functional requirements, using Shell scripting, Informatica, and SQL.
  • DE performing data lifecycle (implementation, transformation, integration, migration, tuning, and cleansing) using ETL, Informatica, and PowerCenter to create reusable mappings, mapplets, and workflows; identifying and resolving application performance limitations using ETL pipelines, session logs, workflow monitoring, and database profiling techniques; developing, designing, and implementing scalable and efficient data architectures, using data warehousing solutions, Amazon Redshift, Oracle, Snowflake, and ETL processes; performing data cleansing, blending, parsing, and transformations, using Informatica; and conducting automation of these jobs using Autosys and Control M.
  • DE developing shell scripting for data extraction and manipulation to automate the file archive process designed for large batches (including file formatting adjustment and renaming), using Unix and Linux.
  • DE developing job scheduling, job monitoring, troubleshooting, and job flow design, using AutoSys and Control-M.

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