Data Engineering interns build pipelines, tools, and infrastructure while gaining hands-on experience with warehousing and production data systems. The role requires SQL, database or warehouse experience, programming exposure—preferably Python—and current enrollment in a relevant master’s program.

Staff Software Engineer building and operating scalable big data compute infrastructure for ETL, analytics, and machine learning. Requires 10+ years of data infrastructure experience and strong expertise in distributed systems, Java or Scala, and big data technologies.

The Senior Analytics Engineer will build and operate scalable data models, pipelines, semantic layers, and self-service data products while partnering with business stakeholders. The role requires 5+ years of analytics or data engineering experience, advanced SQL, strong dbt expertise, and familiarity with modern cloud data platforms.

Build and govern Absorb’s BigQuery and dbt marketing data platform while developing secure AI applications and agents on Google Cloud. This senior individual-contributor role requires 5+ years of data engineering experience, strong software-engineering practices, and expertise in Python, SQL, cloud deployment, and AI systems.

Staff Marketing Technology Engineer who owns a BigQuery/dbt data platform and builds secure AI applications and agents on Google Cloud. Requires 5+ years of data engineering experience plus strong Python, SQL, cloud deployment, software engineering, and data governance expertise.

Build and operate reusable data platform services, connectors, and reliable distributed workloads that make enterprise data usable for applications, analytics, and AI. Requires 4+ years of data platform experience plus strong Python, SQL, backend, and data infrastructure skills.

Build production data platform software that connects enterprise systems and makes data usable for applications, analytics, and AI. The role focuses on backend services, reusable connectors, distributed workloads, reliability, and performance using Python and SQL.

Data engineering interns will build and improve reliable software, work with databases and SQL, and solve large-scale data problems while collaborating with experienced engineers. Applicants must be pursuing a relevant bachelor's or master's degree in Canada and be available in Toronto during Summer 2027.

Build and operate secure batch and streaming data pipelines, dimensional models, and data quality systems for a healthcare data platform. Requires a bachelor’s degree and at least 3 years of data engineering experience, with strong Python, SQL, distributed systems, and data warehousing expertise.

Senior software engineer building and operating scalable data-pipeline infrastructure, automation, and reliability tooling. The role requires 5+ years of software, systems, and automation experience, plus expertise in cloud infrastructure, data streaming, and operational tooling.

Senior Software Engineer building and operating broad data platform infrastructure for data, analytics, ML, AI, and agent workflows. Requires 5+ years of software engineering experience with distributed systems, production data platforms, cloud infrastructure, and systems design.

Staff-level engineer responsible for architecting and operating multi-petabyte storage infrastructure for GPU and HPC workloads. The role requires 8+ years of storage engineering experience, strong Go and Python skills, Kubernetes expertise, and technical leadership.

Build and operate petabyte-scale distributed storage infrastructure supporting large-model training and evaluation. The role requires strong storage fundamentals, Python or Go, Kubernetes experience, and hands-on knowledge of object storage and POSIX filesystems.

Staff engineer designing distributed systems for cross-region replication, failover, and recovery of Lakeflow data pipelines. The role requires strong production software engineering skills and expertise in consistency, transactions, idempotency, replication, and related systems, with 8+ years of experience preferred.

Own the Finance and Operations data layer, integrating source systems into Snowflake and Omni while developing governed metrics, dashboards, and quality controls. Requires 5+ years in analytics, strong SQL and data modeling skills, and experience partnering with business stakeholders.

Build and operate scalable data platform services, pipelines, SDKs, and self-service tooling that make internal and third-party data accessible for analytics, machine learning, and product experiences. Requires 5+ years of backend engineering experience and production expertise with data infrastructure.

Leads the enterprise data governance architecture and hands-on operationalization of stewardship, metadata, lineage, data quality, lifecycle controls, and governed analytical assets. Partners across business, technology, risk, compliance, legal, and security functions to build an audit-ready governance capability.

Build foundational data platform infrastructure for analytics, machine learning, and cloud operations. The role requires 5+ years of software or data infrastructure engineering experience, strong Python and systems programming skills, distributed systems knowledge, and advanced SQL expertise.

Builds and maintains finance data infrastructure, models, reporting foundations, and automation using SQL, Python, Snowflake, dbt, and Airflow. Requires at least three years of analytics, data, or BI engineering experience and strong SQL and data-modeling skills.

Own and evolve Stream’s revenue operations data platform, including ingestion, transformation, modeling, infrastructure, reliability, and reverse ETL. The role requires 5+ years of production data platform experience, strong SQL and Python, cloud warehouse expertise, and modern ELT and infrastructure-as-code skills.

Senior software engineer building high-throughput database and data-platform integrations for ClickHouse, with responsibility for reliability, production debugging, and customer-driven product innovation. Requires 5+ years of experience, systems programming skills, and cloud-native Kubernetes expertise.

Staff-level individual contributor defining company-wide database and data infrastructure strategy, architecture, and platform capabilities. The role requires deep distributed-systems expertise, experience operating multi-terabyte databases at high throughput, and the ability to lead cross-team scalability and migration initiatives.

Own the data platform infrastructure supporting Mercor’s data-driven teams, including Snowflake governance, access controls, ingestion, orchestration, dashboard governance, and cost management. The role requires strong Snowflake administration, SQL, Python, production pipeline ownership, and CDC/streaming experience.

Leads enterprise data engineering strategy, architecture, delivery, governance, and technical leadership across the organization. Requires extensive data engineering experience, advanced data modeling and warehouse expertise, and strong PySpark, SQL, and Python skills.

Staff Software Engineer leading development of data catalog and metadata infrastructure for discovery, governance, lineage, and quality across Airbnb’s data ecosystem. Requires 9+ years of software engineering experience focused on data infrastructure and strong programming and distributed data technology skills.

Staff Software Engineer responsible for designing and scaling Ray Data’s distributed data-processing infrastructure for large-scale AI training and inference. Requires 6+ years of production software and architectural ownership experience, plus deep distributed-systems expertise and strong Python skills.

Leads the design, operation, and technical direction of Pinterest’s data workflow and context control planes, driving reliability, scalability, AI-native capabilities, and open-source contributions. Requires 10+ years of distributed-systems experience, infrastructure expertise, and proficiency in Python or Java.

Staff Software Engineer building scalable frameworks for high-performance financial data ingestion/distribution and AI-native products. Requires 7+ years experience with distributed systems, microservices, and data architectures; partners with product teams to drive technical direction.

Build and operate scalable lakehouse infrastructure, streaming and CDC pipelines, query systems, and self-serve BI capabilities. Requires 5+ years of data engineering experience, strong Kubernetes and infrastructure-as-code expertise, and hands-on experience with distributed data platforms.

Build scalable data ingestion, normalization, storage, and orchestration pipelines for multi-tenant device compliance data from endpoint-management platforms. The role requires 3+ years of data engineering experience, strong SQL and Python, database expertise, and experience with APIs and pipeline orchestration.

Build and govern quote-to-cash data models and products integrating Salesforce, CPQ, billing, and finance systems. The role requires 5+ years of data engineering experience, strong SQL and Python skills, and expertise in self-service analytics for GTM teams.

Analytics Engineering intern building dimensional data models, SQL pipelines, quality controls, and self-serve datasets or dashboards. Requires current quantitative-degree study, SQL proficiency, programming familiarity—preferably Python—and clear technical communication.

Data Engineering Intern supporting scalable pipelines and infrastructure for analytics and machine learning workloads. Requires Python and SQL proficiency, cloud familiarity, and exposure to modern software architecture or AI/API integrations.

Leads database architecture, performance, reliability, and developer-tooling initiatives for high-volume trading applications. Requires 8+ years of software engineering experience, expert MySQL skills, backend development expertise, and strong knowledge of distributed systems and database operations.

Build and operate foundational streaming, messaging, and data pipeline infrastructure for highly scalable identity and analytics systems. The role requires 3+ years of software development experience and strengths in distributed systems, event streaming, and platform reliability.

Senior Data Engineer responsible for building and operating reliable clinical and claims data pipelines, CDC systems, quality controls, and de-identified exports. The role requires 5+ years of production pipeline experience plus strong SQL, Python, Spark, and data-governance skills.

Leads the design and improvement of large-scale data platform systems and workflows, collaborating across engineering, data science, and business teams. Requires 10+ years of relevant experience, advanced SQL and Python, cloud data tooling, and technical leadership.

Own the company’s metric governance program by defining canonical metrics, enforcing them in semantic and catalog systems, improving data quality, and validating AI-agent outputs. Requires 5+ years in analytics or analytics engineering, strong SQL, production semantic-layer ownership, and experience with AI evaluation and data governance.

Construye y lidera la arquitectura, los pipelines y la plataforma de datos para habilitar analítica de producto, reportes financieros y experiencias self-serve. Requiere más de 7 años de experiencia, dominio de SQL, Snowflake, dbt, Python y AWS, además de experiencia con orquestación y modelado de datos.

Senior Data Engineer responsible for architecting and operating scalable data pipelines, warehouses, and analytics infrastructure. The role requires 7+ years of data or analytics engineering experience, strong SQL and modeling expertise, and proficiency with cloud, orchestration, and BI technologies.

Build and scale distributed data platforms, database systems, delivery services, and APIs, with emphasis on reliability, performance, observability, and data integrity. Requires 3+ years of software development experience with distributed systems and databases; Golang experience is preferred.

Own and evolve Stream’s revenue operations data platform, including ingestion, transformation, modeling, reliability, and GCP infrastructure. The role requires 6+ years of production data-platform experience, expert SQL, strong Python, modern ELT, Terraform, and technical leadership.

Build and operate distributed systems powering Apache Pinot’s real-time analytics platform at massive scale. The role requires strong distributed-systems expertise, end-to-end delivery ownership, and a focus on reliability, observability, and performance.

Own and scale transformation pipelines that convert diverse financial and operational data into reliable FP&A-ready models. The role requires strong SQL and dbt expertise, data integrity and performance skills, and effective collaboration across Engineering and Customer Success.

Oversee the lifecycle, quality, governance, and publication of research data across scientific programs. The role requires 3–5+ years of research data-management experience, strong metadata and FAIR-data expertise, and the ability to collaborate with researchers and engineers.

Staff Software Engineer responsible for architecting, building, and operating Commure’s data warehouse platform, including CDC, lakehouse, query, transformation, and analytics layers. Requires 6+ years of software engineering experience and broad expertise across modern production data infrastructure.

Build and operate low-latency systems that capture, normalize, and distribute real-time market data for institutional trading. The role requires backend engineering experience, Java or C++, market data infrastructure knowledge, and exchange connectivity expertise.

Senior Data Engineer responsible for designing and operating scalable data pipelines and platform capabilities across Snowflake and AWS. The role requires 5+ years of production data engineering experience, strong SQL and Python skills, and expertise in ETL/ELT, orchestration, quality, and observability.

Build and scale data pipelines, reusable datasets, and validation frameworks supporting business intelligence, marketing, and data science. The role requires strong Python and SQL skills, modern data-stack experience, and at least four years of software or data engineering experience.

Build and optimize scalable data pipelines, reusable datasets, and federated data quality systems for healthcare analytics. The role requires at least 2 years of data or software engineering experience and strong Python, SQL, AWS, orchestration, database, and warehouse expertise.