Data Warehouse and ETL Engineers build the systems that help organizations turn raw data into dependable, useful information. On Ladders, explore vetted opportunities for experienced professionals seeking roles paying $100,000 or more. Find openings across industries, from technology and finance to healthcare and retail.
These professionals design, develop, and maintain data warehouses and the pipelines that move information from source systems into analytics-ready environments. Responsibilities may include extracting, transforming, and loading data; modeling datasets; improving data quality; monitoring pipeline performance; and supporting reporting and business intelligence teams.
Employers often seek experience with SQL, data modeling, ETL or ELT tools, and programming languages such as Python or Java. Depending on the role, you may also work with cloud data platforms, distributed processing frameworks, orchestration tools, and technologies such as Snowflake, Amazon Redshift, Google BigQuery, Azure, Databricks, or Apache Spark. Requirements vary by employer and the systems in use.
Data Warehouse and ETL Engineer roles can span hands-on pipeline development, platform architecture, data integration, and engineering leadership. Related titles include Data Engineer, ETL Developer, Data Warehouse Developer, Analytics Engineer, and Data Platform Engineer. Senior opportunities may involve setting technical standards, guiding modernization efforts, and partnering with stakeholders to shape data strategy.
Search Ladders for vetted Data Warehouse and ETL Engineer jobs with salaries of $100,000 or more. Compare opportunities by location, experience level, and technology focus, and find a position that aligns with your expertise and career goals.
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What does a Data Warehouse or ETL Engineer do?
A Data Warehouse or ETL Engineer builds and maintains systems that collect, transform, organize, and deliver data for analytics, reporting, and business operations.
What skills are commonly required for Data Warehouse and ETL Engineer jobs?
Common requirements include SQL, data modeling, ETL or ELT development, and programming skills such as Python or Java. Employers may also request experience with cloud data warehouses, orchestration, and distributed data tools.
Which tools and platforms might these engineers use?
Depending on the employer, tools may include Snowflake, Amazon Redshift, Google BigQuery, Azure, Databricks, Apache Spark, and ETL or workflow orchestration platforms.
What job titles are related to Data Warehouse and ETL Engineer roles?
Related titles include Data Engineer, ETL Developer, Data Warehouse Developer, Analytics Engineer, and Data Platform Engineer.
Can I find Data Warehouse and ETL Engineer jobs paying $100,000 or more on Ladders?
Yes. Ladders features vetted professional opportunities paying $100,000 or more, including Data Warehouse and ETL Engineer roles. Salary, requirements, and availability vary by position.