OCCUVISTA

ETL Developer

Building the pipelines that extract, transform, and load data across enterprise systems

Also known as:ETL EngineerData Integration DeveloperData Pipeline DeveloperELT DeveloperData Transformation Engineer
Declining

ETL Developer Salary

United Kingdom

£35,000 – £65,000

United States

$65,000 – $110,000

Varies by location, sector, and experience. Last updated: 2025.

What Is an ETL Developer?

An ETL Developer builds and maintains the pipelines that extract data from source systems, transform it into the required structure and quality, and load it into target systems — typically data warehouses, data marts, or reporting databases. ETL (Extract, Transform, Load) is one of the foundational disciplines in data engineering and has been a core function of enterprise data architecture for decades.

The title ETL Developer is most common in large enterprise, financial services, and public sector organisations running established data integration programmes — often using dedicated ETL platforms such as Informatica, IBM DataStage, Talend, or Microsoft SSIS. The role overlaps significantly with Data Engineer, and the two titles are increasingly used interchangeably in modern data stacks. The distinction that remains is context: ETL Developer tends to appear in organisations with legacy on-premise ETL tooling, while Data Engineer is more common in cloud-native and dbt-driven environments. Practitioners who develop skills in both traditional ETL platforms and modern cloud-native approaches are in the strongest market position as estates modernise.

What Does a ETL Developer Do?

  • Design and build ETL pipelines to move data between source systems and target data stores on schedule
  • Implement data transformation logic covering cleansing, deduplication, aggregation, and business rule application across pipeline stages
  • Maintain and troubleshoot existing ETL jobs, diagnosing and resolving pipeline failures to restore downstream reporting integrity
  • Optimise ETL pipeline performance to meet load window requirements and reduce end-to-end data latency
  • Implement error handling, logging, and alerting so pipeline failures are detected and escalated without manual monitoring
  • Support data quality assurance by validating extracted and loaded data against source system records after each run

ETL Developer Skills

Hard Skills

  • ETL Pipeline Design
  • Data Pipeline Orchestration
  • SQL
  • Data Modelling
  • Data Quality Management
  • Data Mapping
  • Data Migration
  • System Integration
  • Python
  • Database Design

Soft Skills

  • Analytical ThinkingMapping source-to-target data transformation logic
  • Attention to DetailData quality and transformation accuracy
  • Methodical ApproachStructured pipeline build and testing procedures
  • Documentation DisciplineMaintaining data lineage and transformation records
  • Problem SolvingDiagnosing pipeline failures across ETL platforms
  • AdaptabilitySpanning legacy ETL tooling and cloud-native approaches

ETL Developer Tools & Software

Informatica PowerCenterIBM DataStageMicrosoft SSISTalendApache AirflowSQL ServerSnowflakedbtAWS

How to Become a ETL Developer

Typical Route

Most ETL Developers hold a bachelor's degree in Computer Science or Information Technology. Many enter the role from SQL developer, database administrator, or business intelligence analyst backgrounds rather than directly from graduation. Community colleges with strong database and information systems programs provide a practical entry route — an associate degree followed by hands-on SQL and warehouse experience is a recognised path. Postgraduate study is uncommon at this level; demonstrated platform experience and relational database depth carry more weight in hiring decisions.

Alternative Route

Microsoft Certified Azure Data Engineer Associate (DP-203) covers Azure Data Factory and is the most relevant credential for Microsoft-stack ETL roles; Pluralsight and Infosec Institute offer structured preparation. Informatica Certified Professional is widely recognised in Informatica-heavy enterprise environments. Talend Certified Developer is valued in Talend environments. dbt Certified Developer is increasingly sought as cloud-native transformation patterns replace legacy ETL tooling. Many ETL Developers build platform skills through vendor documentation and on-the-job exposure.

A Day in the Life of an ETL Developer

Morning

Investigate a failed overnight Informatica job loading customer transactions into the data warehouse and trace the error to a null value in a mandatory target column
Optimise a slow-running SSIS package transforming daily sales data by replacing a row-by-row lookup with a set-based merge join reducing runtime from 4 hours to 40 minutes
Map the transformation logic for a new HR system integration, documenting the source-to-target field mappings and business rules before pipeline build begins

Afternoon

Build the deduplication logic for the supplier master ETL pipeline, implementing a deterministic matching rule based on VAT number and registered company name
Implement error handling and dead-letter logging on three legacy DataStage jobs that currently fail silently when source records contain unexpected null values
Validate loaded data in the monthly financial reporting mart against source system record counts and flag a 0.3% discrepancy in the accounts payable feed for investigation

ETL Developer Career Path

SQL Developer / Junior ETL Developer

0–2 yrs

→

ETL Developer

2–5 yrs

→

Senior ETL Developer

5–8 yrs

→

Data Engineer / ETL Architect

6+ yrs

→

Data Architect / Head of Data Engineering

9+ yrs

ETL Developer Job Outlook

Declining

Dedicated ETL Developer roles are in structural decline as new data infrastructure investment moves toward cloud-native ELT patterns and orchestration frameworks that reduce reliance on traditional ETL tooling. Legacy platforms remain in production across financial services, large enterprise, and public sector organisations, sustaining some demand for experienced practitioners in the near term — but headcount is contracting rather than growing as estates modernise. Developers who have not built adjacent skills in Python, dbt, and cloud data platforms face narrowing options as consolidation continues.

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