Data Engineer
Builds and maintains data pipelines, warehouses, and infrastructure that enable analytics and ML.
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
23 open Data Engineer jobs across 15 companies.
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