Data Engineer
This role involves building and optimizing the data infrastructure that powers analytics, machine learning, and operational decision-making across AI-focused organizations. Data engineers in this position design scalable pipelines to ingest data from infrastructure, product systems, and business operations, then transform that raw data into reliable datasets that serve analysts, data scientists, and product teams. What sets this role apart is its foundation-level focus—rather than analyzing data or building models, these engineers architect the systems, data models, and warehouses that make all downstream work possible. They typically report into data or platform leadership and work cross-functionally with product, engineering, finance, and operations teams to translate business requirements into production-grade data infrastructure that scales with organizational growth.
Skills
What companies are looking for in this role.
Designing and building scalable data pipelines for large-scale data ingestion and processing
Implementing ETL/ELT processes to extract, transform, and load data from multiple sources
Modeling and transforming raw data into clean, analysis-ready datasets
Architecting data warehouses and data lakes using medallion or similar layered patterns
Ensuring data quality, reliability, and integrity through testing and validation frameworks
Building and maintaining data governance frameworks including access controls and compliance standards
Implementing data orchestration and workflow scheduling for automated pipeline execution
Optimizing data pipeline performance and managing cloud infrastructure costs
Designing privacy-first architectures with PII handling and role-based access controls
Developing self-serve data platforms and tools enabling non-technical stakeholders to access data independently
Managing batch and streaming data architectures for real-time and scheduled data processing
Building observability and monitoring systems for data pipeline reliability and debugging
Building AI data enablement systems ensuring models receive properly formatted training data
Developing data products and metrics dashboards that track AI adoption, model performance, and business impact
Creating AI agents that automate data engineering tasks and serve data queries to users
Implementing retrieval-augmented generation (RAG) data pipelines for generative AI applications
Collaborating with cross-functional teams including data scientists, analysts, engineers, and business stakeholders
Translating ambiguous business requirements into scalable technical data solutions
Communicating technical concepts to non-technical audiences and translating stakeholder needs
Documenting data systems, pipelines, and models clearly for team understanding and knowledge transfer
Leading technical decision-making and providing thought leadership on data engineering best practices
Mentoring junior engineers and building data engineering culture and standards
Technology
The tools and technologies that define this role.
Open Jobs
28 open Data Engineer jobs across 20 companies.
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