Data Warehouse and ETL Developers design and maintain the systems that move, organize, and prepare data for analytics and business operations. Browse vetted opportunities on Ladders, including roles paying $100,000 or more, and find positions that match your technical expertise and career goals.
These professionals build data warehouses and pipelines that bring information together from databases, applications, and other sources. Typical responsibilities include developing extract, transform, and load (ETL) or extract, load, and transform (ELT) workflows; modeling and validating data; improving performance and reliability; and supporting reporting and analytics teams.
Job requirements vary, but employers commonly seek experience with SQL, data modeling, cloud data platforms, and ETL tools. Familiarity with Python or other programming languages, orchestration and workflow tools, data quality practices, and platforms such as Snowflake, Amazon Redshift, Google BigQuery, or Microsoft Azure can also be valuable. Many roles call for clear communication and collaboration with analysts, engineers, and business stakeholders.
Data warehouse and ETL roles are available across industries that depend on trustworthy, accessible data. Compare opportunities by seniority, technology stack, work arrangement, and responsibilities. Ladders focuses on vetted professional jobs paying $100,000 or more, helping experienced candidates discover opportunities to advance their careers.
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Cloud Platform Engineer (PaaS)
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What does a Data Warehouse or ETL Developer do?
A Data Warehouse or ETL Developer builds and supports systems that collect data from multiple sources, transform it into useful formats, and load it into warehouses or analytics platforms. They may also develop data models, monitor pipeline quality, and optimize performance.
What skills are commonly required for Data Warehouse and ETL Developer jobs?
Common requirements include SQL, ETL or ELT development, data modeling, and experience with databases or cloud data platforms. Employers may also value Python, workflow orchestration, data quality practices, and communication skills.
Which tools and platforms might appear in job listings?
Depending on the employer, listings may mention Snowflake, Amazon Redshift, Google BigQuery, Microsoft Azure, ETL products, SQL databases, programming languages, and pipeline orchestration tools. Requirements differ by organization and role.
Are Data Warehouse and ETL Developer jobs available for $100,000 or more?
Yes. Ladders features vetted professional jobs paying $100,000 or more, including opportunities in data warehousing and ETL. Compensation and eligibility vary by role, employer, location, and experience.
How can I find the right Data Warehouse or ETL Developer role?
Compare listings based on required technologies, scope of ownership, seniority, industry, and work arrangement. Tailor your resume to highlight relevant pipelines, platforms, data models, and measurable improvements.