Data Integration Developer

Career Guide

A Data Integration Developer builds and maintains reliable data pipelines that move and transform data between systems so it can be used for reporting, analytics, and applications. The role focuses on connecting data sources, improving data quality, and making data available in a consistent, secure, and timely way.

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Key Responsibilities

Build data pipelines to move data between databases, applications, and cloud platforms
Develop data transformations to standardize and enrich datasets
Create and maintain batch and near real time data flows
Design and maintain data models for integrated datasets
Implement data validation checks to improve data quality
Monitor pipelines for failures and performance issues
Troubleshoot data issues with engineering and business teams
Optimize queries and pipeline performance to reduce cost and latency
Manage version control and support release processes for data code
Document data flows, definitions, and operational runbooks
Implement access controls and support security and compliance needs
Collaborate with data analysts and data scientists to deliver usable datasets

Top Skills for Success

SQL

Python

ETL Development

Data Pipeline Design

Data Modeling

Data Quality Testing

Performance Tuning

Cloud Data Platforms

Data Warehousing

API Integration

Version Control

Stakeholder Communication

Career Progression

Can Lead To

Senior Data Integration Developer

Data Engineer Analytics Engineer Data Platform Engineer

Transition Opportunities

Data Architect Solutions Architect Engineering Manager

Data Engineering Lead

Common Skill Gaps

Often Missing Skills

Cloud Cost OptimizationData GovernanceData ObservabilityStreaming Data ProcessingInfrastructure as CodeUnit TestingData Security Basics

Development SuggestionsStrengthen core pipeline reliability by adding automated tests, monitoring, and alerting. Build hands on cloud experience by deploying a small end to end pipeline. Improve long term maintainability by learning governance basics, documentation standards, and secure access patterns.

Market Intelligence Report

Data Integration Developer is part of the Data & Platform Engineering category.Explore our market intelligence report to see how AI and hiring demand are shifting for these roles.

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Salary & Demand

Median Salary Range

Entry LevelUSD 85,000 to 115,000

Mid LevelUSD 115,000 to 150,000

Senior LevelUSD 150,000 to 195,000

Growth Trend

Strong demand driven by cloud migration, modernization of legacy data systems, and increased investment in analytics and machine learning. Hiring is steady across technology, finance, healthcare, and retail.

Companies Hiring

Major Employers

AmazonMicrosoftGoogleSalesforceOracleIBMAccentureDeloitteCapital OneJPMorgan ChaseUnitedHealth GroupWalmart

Industry Sectors

TechnologyFinancial ServicesHealthcareRetail and EcommerceManufacturingTelecommunicationsMedia and EntertainmentGovernmentEducation

Recommended Next Steps

Build a portfolio project that ingests data, transforms it, and publishes it to a warehouse with documentation

Create a reusable data validation layer and demonstrate automated testing

Learn one major cloud data stack and deploy a pipeline end to end

Practice performance tuning by optimizing SQL queries and pipeline runtimes

Add monitoring and alerting to a pipeline and document an incident response process

Align your resume to outcomes such as reduced load time, improved data accuracy, and increased pipeline reliability