Senior software engineer building and evolving Fetch’s data platform, including pipelines, governed data access, delivery infrastructure, and partner integrations. The role requires 8+ years of experience, strong platform or backend expertise, ownership of complex cross-team initiatives, and excellent technical judgment.

Build and own Wrapbook’s analytics layer, including production pipelines, governed data models, canonical datasets, self-serve analytics, and monitoring. The role requires strong SQL and Python, modern warehouse experience, and 4+ years in data or analytics engineering.

Staff Software Engineer leading design and development of large-scale batch and real-time data pipelines and ML infrastructure to power GenAI/LLM products and features for Airbnb's Messaging, Notifications, and Connectivity organization. Requires 9+ years experience building production ML systems and cross-functional collaboration.

The Senior Software Engineer II will build and operate integrations, APIs, data pipelines, and data contracts connecting Wrapbook with accounting, ERP, data, and AI ecosystems. The role requires strong data architecture and coding experience with Python, Rails, and modern integration tooling.

Leads the analytics engineering organization and sets strategy for Webflow’s enterprise data architecture, semantic layer, governance, and AI-native data systems. Requires 10+ years of data and analytics engineering experience, strong modern data stack expertise, and demonstrated team leadership.

Builds and operates large-scale web crawling, extraction, and data engineering infrastructure processing billions of pages. The role requires 5+ years of software engineering experience, strong distributed-systems fundamentals, and proficiency with Java or Python, cloud platforms, Kubernetes, and ETL technologies.

The Senior Platform Engineer will build and operate reliable data platform tooling, consolidate orchestration, scale dbt infrastructure, and improve Databricks developer experience. The role requires 5+ years of production software experience, strong Python and AWS expertise, infrastructure-as-code experience, and familiarity with modern data stacks.

Build production-grade data processing systems and performant datasets that support AI-driven customer experiences and company-wide analytics. The role requires 5+ years of data engineering experience, strong Python and SQL skills, and expertise with distributed processing frameworks and modern analytics tooling.

The Senior Data Engineer will design scalable data pipelines and warehousing systems supporting analytics, business metrics, and machine-learning initiatives. The role requires 4+ years of enterprise data experience, expertise with modern data platforms and ETL, and the ability to mentor engineers and collaborate across functions.

The Senior Database Administrator will design, operate, secure, and optimize high-volume PostgreSQL databases supporting a scalable SaaS platform. The role requires 6+ years managing databases at scale, strong performance-tuning expertise, and experience with high availability, automation, observability, and recovery.

Staff engineer owning the analytical data layer, schema, and tiered analytics architecture. The role combines hands-on backend development with database performance optimization, observability, ingestion coordination, and measured architectural decision-making.

Leads Alpaca’s data department across platform engineering, analytics engineering, and data science, owning strategy, architecture, execution, and operational reliability. The role requires extensive data engineering and people-management experience, modern data-stack expertise, and familiarity with financial services data.

Build and operate petabyte-scale data infrastructure powering Discord’s insights and products. The role requires 5+ years of software engineering experience, strong programming skills, and experience with large-scale pipelines, streaming, orchestration, or data warehousing.

Own financial data integration pipelines and scalable data models supporting accounting, billing, revenue, and financial reporting. The role requires 8+ years of data or software engineering experience, strong cloud warehouse and data infrastructure expertise, and the ability to lead cross-functional initiatives.

Senior Data Engineer responsible for designing and deploying scalable data infrastructure, orchestration models, and analytics tooling to enable data-driven decisions, ML products, and enterprise reporting at Vanta. Requires 4+ years data experience, software engineering mindset, modern data stack proficiency, and passion for secure, compliant data systems.

Senior Analytics Engineer responsible for designing complex data models, building scalable SQL pipelines, enabling AI tooling, and improving data infrastructure to support self-serve analytics, dashboards, and data science at Vanta. Requires 4+ years data experience, software engineering mindset, and expertise with modern analytics tools like dbt.

Leads data governance and security across the lakehouse, analytics stack, and internal data products, establishing classification, access, quality, and compliance controls. Requires 5+ years in data governance, data security, GRC, or privacy engineering and experience with modern data platforms and audits.

Builds governed Silver and Gold data models, semantic assets, and reusable transformation patterns on Databricks for business domains such as finance, RevOps, marketing, and HR. Requires 5+ years in analytics or data engineering, strong SQL and dimensional modeling expertise, and effective stakeholder collaboration.

The Analytics Engineer will own OnePay’s analytical data foundation, building trusted dbt models, tests, documentation, dashboards, and semantic metrics on Databricks. The role requires at least three years of analytics engineering experience, expert SQL and dbt skills, strong data-quality practices, and hands-on use of AI coding tools.

Builds and deploys real-time clinical data integrations between EHR systems and a healthcare platform. The role requires 3+ years of production data pipeline experience, Python, cloud and relational database expertise, integration testing, and deployment support.

Build and evolve reliable analytics infrastructure, pipelines, schemas, and foundational datasets supporting quantitative research across strategies. The role requires strong Python and SQL skills, distributed data-platform experience, and ownership of observability, performance, and reproducibility.

Leads Mercury’s data engineering organization and long-term platform strategy, building reliable, governed infrastructure and reusable data products for analytics, AI, operational systems, and self-service. Requires 10+ years of relevant experience, including 5+ years leading data or engineering teams.

Build and maintain trusted data models, pipelines, dashboards, and workflows across Product and GTM. The role requires 5+ years of analytics or data engineering experience, exceptional SQL, strong dbt and cloud warehouse expertise, and sound analytical judgment.

Builds and scales the analytical data foundation across business and product teams, owning dbt models, Snowflake, Python/Airflow pipelines, reconciliation, data quality, and semantic layers for AI tools. Requires 5+ years of analytics or data engineering experience with strong SQL, dbt, Python, and SaaS data expertise.

Leads architecture and delivery of large-scale advertising data systems, including off-platform integrations, cleanroom workflows, taxonomy automation, and measurement pipelines. The role requires 8+ years of backend or data engineering experience, strong Python, data-platform expertise, privacy knowledge, and hands-on AI-assisted development.

Owns the architecture and operation of a scalable data platform, designing Airflow pipelines, improving reliability and cost efficiency, and leading cross-team technical initiatives. Requires 7+ years of data engineering experience, production container infrastructure expertise, and strong architectural leadership.

Designs and operates scalable enterprise data pipelines, warehouses, and lakehouse infrastructure using Python, SQL, dbt, Airflow, and Snowflake. The role requires 8+ years of data engineering experience, production ownership, cloud expertise, and strong architectural and mentoring skills.

Leads architecture and delivery of Instacart’s open lakehouse foundation, governance controls, and multi-engine compute strategy. Requires 10+ years building production-scale data infrastructure or distributed systems, with expertise in lakehouse, streaming, and platform migrations.

Leads the architecture, modeling, pipelines, quality systems, and certification processes for a canonical compliance data platform. Requires 8+ years in analytics or data engineering, expert SQL and Python, modern warehouse expertise, and technical leadership under regulatory pressure.

Leads architecture and operations for Cribl’s data platform, including Snowflake, Prefect, dbt, AWS infrastructure, ingestion services, and AI-ready data workflows. The role requires deep Snowflake expertise, strong Python and SQL skills, infrastructure-as-code experience, and the ability to mentor engineers and set technical direction.

The Senior Data Engineer builds and operates large-scale data pipelines and foundational data products for healthcare claims, EHR, and reference datasets. The role requires advanced Python and SQL, Airflow, distributed processing, AWS, production troubleshooting, and strong data reliability practices.

Build and own Teleport’s internal data platform, including pipelines, warehouse architecture, data models, and quality controls. The role partners with product, engineering, finance, and revenue teams and requires strong SQL, Python or Go, cloud warehouse, and data governance experience.

Build scalable reporting, data processing, and metrics delivery systems for Instacart’s advertising platform. The role requires 5+ years of software engineering experience, distributed systems expertise, strong SQL, and experience with data technologies such as DBT and Airflow.

Builds secure, observable data models and ELT pipelines for cyber insurance and cybersecurity analytics, while enabling BI and AI-driven risk scoring. The role requires Snowflake, dbt, Python, LookML, secure data-handling practices, and relevant cybersecurity or cyber insurance experience.

Owns Silver- and Gold-layer data modeling, semantic-layer governance, warehouse performance, and BI enablement for trusted self-service analytics. The role requires 5–7+ years of analytics engineering experience, strong SQL and dbt expertise, cloud warehouse optimization, and cross-functional stakeholder partnership.

Build and scale Oracle Fusion financial systems across accounting, tax, treasury, procurement, and FP&A. The role combines financial data architecture, SQL/PL/SQL integrations, workflow automation, and AI-assisted development in partnership with business and engineering teams.

Build and govern the cloud data infrastructure that powers AI skill mining, including BigQuery, storage, IAM, Vertex AI pipelines, and automated data workflows. The role partners with AI, data science, and product teams to deliver observable, privacy-conscious infrastructure.

Owns the analytics transformation layer by building scalable dbt and SQL data models, improving warehouse performance, and establishing data quality standards. Requires 4+ years in analytics or data engineering, strong Python and semantic-layer experience, and proficiency with cloud and data tooling.

Build and own Virta Health's data engagement platform that powers Member Marketing and Coverage Eligibility decisions. Design observable, correct data contracts and modernize legacy integrations into event-driven systems while leading technical delivery in a regulated healthcare environment.

Staff Software Engineer on the Data Platform team defining technical direction for large-scale data infrastructure powering fraud detection. Own design of batch/streaming pipelines, set engineering standards, mentor juniors, and partner cross-functionally on scalable, reliable systems in AWS.

Build and own blockchain network infrastructure, SDKs, and platform APIs that abstract complexity for Coinbase's data platform users. Lead initiatives on chain integrations, data migrations, and distributed systems while maintaining APIs, SLOs, and on-call responsibilities. Requires 5+ years software engineering experience with distributed systems and blockchain/crypto infrastructure.

Lead the design and scaling of LeafLink's data platform and analytics infrastructure. Build reliable pipelines and data models using Airflow, dbt, Python, and AWS to support decision-making across the organization. Requires 8+ years building production data pipelines.

Lead and grow a team of data engineers responsible for Dropbox's core data platform pipelines, self-serve analytics, data quality, reliability, and cost efficiency. Requires 8+ years data engineering experience and 3+ years managing teams, with deep expertise in modern data stacks.

Lead the design, architecture, and development of scalable data infrastructure and platforms at Twilio. Requires 10+ years software engineering experience including technical leadership, deep expertise in big data technologies (ClickHouse, Kafka, Spark), cloud (AWS), and infrastructure-as-code tools.

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.

Senior Data Platform Engineer owning data infrastructure for identity and fraud detection products. Build scalable ETL/ELT pipelines, data observability, and storage layers using Python/Golang, Spark, AWS, and databases. 5+ years experience required; mentor juniors and collaborate with product/DS teams.

Senior Performance Engineer improving how data products interact with large, complex healthcare datasets. Uses data science skills to optimize performance across data architecture, queries, APIs, and UX for faster, scalable products.

OpenAI is hiring across multiple disciplines to design, build, scale, and operate its global compute infrastructure powering frontier AI models like GPT-5.6. Roles span distributed systems, ML infrastructure, hardware, manufacturing, supply chain, data center development, and physical engineering systems.

Own the architecture and standards for Cribl's analytics engineering platform using dbt. Build certified models, semantic layers, and governance practices to power trusted analytics, reporting, and AI decision-making across the business.

Build and maintain compliance datasets, data models, ETL pipelines, and measurement frameworks to power BSA/AML detection, monitoring, and controls at Coinbase. Requires 5+ years analytics/data engineering experience, advanced SQL, Python, dbt/Airflow, and regulated environment background.