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.
Writing and optimizing complex SQL queries for data transformation and analysis
Designing and building scalable data pipelines and ETL/ELT workflows
Designing and managing database architecture and data warehouse schemas
Building and maintaining data integrations across internal and external systems
Developing in Python or similar programming languages for data processing and tooling
Implementing data quality monitoring, validation, and observability frameworks
Creating dashboards and self-serve analytics platforms for business stakeholders
Managing data governance, security, compliance, and documentation standards
Optimizing data warehouse performance, query efficiency, and infrastructure costs
Architecting distributed data systems and infrastructure for handling large-scale datasets
Building machine learning pipelines and integrating ML models into data infrastructure
Implementing change data capture and real-time streaming data pipelines
Implementing data enrichment strategies and master data management processes
Designing and managing vector databases and multimodal data storage for AI applications
Building safety and abuse detection data systems for AI model monitoring
Collaborating cross-functionally with product, finance, and business teams to translate requirements into technical solutions
Communicating technical concepts clearly to both technical and non-technical stakeholders
Gathering stakeholder requirements and synthesizing high-impact data needs
Taking ownership of end-to-end projects and wearing multiple hats in early-stage environments
Mentoring team members and establishing data engineering best practices 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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