ETL Developer

An ETL Developer is responsible for designing, implementing, and maintaining data extraction, transformation, and loading (ETL) processes. They work with databases and data warehousing tools to ensure efficient and accurate data integration for analytical purposes.
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ETL Developer

National (USA)
Base Salary
$88,043 / year
Additional Benefits
Bachelor's Degree

The average salary for ETL Developer is $88,043 / year according to

There are no updated reports for ETL Developer salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

ETL Developer role may have an alternate title depending on the company. To find more information, you can check

Career Information

As an ETL Developer, you will be responsible for designing and implementing ETL (Extract, Transform, Load) processes for an organization. This role requires strong technical skills, as well as the ability to analyze and manipulate data. You will need to be able to design and implement efficient and reliable ETL processes, and ensure the quality and integrity of the data.

The average salary for ETL Developer is $88,043 / year according to
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The following text about the Job role of ETL Developer has been generated by an AI model developed by OpenAI. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

An ETL (Extract, Transform, Load) Developer is a professional responsible for designing, developing, and maintaining the ETL processes that are crucial for data integration and data warehousing. They play a vital role in ensuring that data from various sources is extracted, transformed, and loaded into a centralized data repository in a structured and usable format.

One of the most important skills for an ETL Developer is proficiency in SQL (Structured Query Language). They must have a strong understanding of SQL queries and be able to write complex queries to extract data from different databases and sources. This includes joining tables, filtering data, and performing aggregations to retrieve the required information.

Another crucial skill for an ETL Developer is expertise in ETL tools and technologies. They must be proficient in using tools like Informatica, Talend, or SSIS (SQL Server Integration Services) to design and develop ETL workflows. These tools provide a graphical interface for building data integration processes, allowing developers to extract data from various sources, transform it according to business rules, and load it into the target data warehouse or database.

Data modeling and data mapping skills are also essential for an ETL Developer. They must be able to understand the data requirements and design the data models and mappings that define how data will be transformed and loaded into the target system. This involves analyzing source data structures, identifying data relationships, and creating mappings that ensure data integrity and consistency.

In addition to these skills, an ETL Developer must also possess a strong understanding of data warehousing concepts and principles. They should be familiar with dimensional modeling, star schemas, and data mart design. This knowledge is crucial for designing and developing ETL processes that efficiently load data into the data warehouse and support effective reporting and analysis.

The tasks of an ETL Developer can vary depending on the organization and project requirements. However, some common tasks include:

  • Analyzing data requirements and designing ETL processes to meet those requirements.
  • Developing and testing ETL workflows using ETL tools and technologies.
  • Writing SQL queries to extract, transform, and load data from various sources.
  • Creating data models and mappings to define the transformation and loading processes.
  • Collaborating with data analysts and business stakeholders to understand data requirements and ensure data quality.
  • Monitoring and troubleshooting ETL processes to identify and resolve issues.
  • Optimizing ETL workflows for performance and scalability.
  • Documenting ETL processes, data mappings, and data lineage for future reference.

Overall, an ETL Developer plays a critical role in ensuring the smooth and efficient integration of data from various sources into a centralized data repository. Their skills and expertise are essential in maintaining data integrity, enabling effective reporting and analysis, and supporting data-driven decision-making within organizations.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

Google Certified Professional Data Engineer

The Google Certified Professional Data Engineer is a high-ROI program designed for experienced professionals to become highly equipped with specialty skills and functional knowledge in cloud data engineering.

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Microsoft Certified: Azure Data Engineer Associate


The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.

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Databricks Certified Data Engineer Associate

The Databricks Data Engineer Certification program is highly sought after, designed to evaluate an individual's proficiency in utilizing the Databricks Lakehouse Platform for performing fundamental data engineering tasks.

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AWS Certified Data Analytics — Specialty


The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

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AWS Certified Database — Specialty


The AWS Database Certification — Specialty program is intended to validate candidates' expertise in recommending, designing, and implementing AWS cloud-based relational and NoSQL database systems.

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Google Certified Professional Cloud Database Engineer

The Google Certified Professional Cloud Database Engineer program is designed for experienced database engineers with a strong background in both Cloud computing and overall database and IT experience.

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Specialization Programs improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

Data Engineering for Data Scientists


This Nanodegree program teaches you how to access data silos, extract information from various sources, and streamline it into functional formats for analysts and high-level decision-makers. You will have the opportunity to create an impressive, machine learning-driven web application with significant real-world, life-saving implications.

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Data Engineering with Microsoft Azure


You will acquire the skills to design data models, create data pipelines, and navigate large datasets on the Azure platform. Additionally, you will learn to build data warehouses, data lakes, and lakehouse architecture.

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Data Engineer Career Track


This career track is designed for beginners to learn Python basics, build data architecture, streamline processing, and maintain large-scale systems. Participants will develop pipelines, automate tasks, and construct high-performance databases using Shell, SQL, and Scala.

DevOps and SRE Fundamentals: Implementing Continuous Delivery (LFS261)


IBM Data Warehouse Engineer Professional Certificate


Professional Certificate in SQL, ETL and BI Fundamentals


Data Engineer Career Path

Skill Track

This beginner-friendly skill track is perfect for learning Python, SQL, pandas, NumPy, and more through interactive lectures and exercises. You will build a job-ready portfolio and excel in your data engineering career.

Data Engineering, Big Data, and Machine Learning on GCP Specialization


This specialization covers TensorFlow, BigQuery, and Google Cloud Platform. You will learn Big Data capabilities, modernize Data Lakes, and build resilient streaming analytics systems on Google Cloud.

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Resource Stacks

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Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
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AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.

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