Work on the Fintech Foundation team designing, building, and operating machine learning systems that power Hopper's pricing engine. Responsibilities include creating automated training pipelines, ETL and feature engineering, deploying real-time ML pricing solutions, monitoring production models, and running champion-challenger tests. Ideal candidates have 5+ years' experience with production ML systems, expertise in Python/Scala/SQL, and familiarity with distributed data processing and ML model lifecycle.

Join Hopper's Fintech Foundation team to design, build, and evolve production ML systems and pipelines that power real-time pricing and fintech products. Responsibilities include ETL and feature engineering, automated training pipelines, real-time model deployment, monitoring for latency and drift, and running champion-challenger tests in collaboration with data science, engineering, and product stakeholders.

Design, build, and maintain automated training pipelines, ETL and feature engineering, and real-time ML pricing solutions. Own model-to-production lifecycle, monitor production for latency/drift, run champion-challenger tests, and collaborate with data science, engineering, and product teams to deliver scalable pricing solutions. Requires ~5+ years experience with production ML systems, proficiency in Python, Scala, and SQL, and experience with distributed data processing and software architecture.

Join Hopper's Fintech Foundation as a senior software/ML engineer responsible for designing and deploying production ML pricing solutions. Responsibilities include building automated training pipelines, ETL and feature engineering, real-time model deployment, and production monitoring for latency, drift and training-serving skew. Requires 5+ years in production ML or large-scale pricing platforms, strong Python/Scala/SQL experience, and proficiency in French and English. Role is remote in Canada (Montréal listed).

Veeva OpenData is hiring a Data Lead to own the roadmap and product strategy for reference data used by life sciences customers. The role requires a strong technical foundation in data analytics or engineering, ownership of data pipelines and product delivery, identification of market opportunities, and leadership of cross-functional execution end to end. The position is fully remote in the UK, Germany, or Spain with approximately 10% travel.

Veeva OpenData is hiring a Data Lead to own roadmap and product strategy for reference data used by pharma/biotech. The role involves overseeing data pipelines and engineering/analytics work, identifying market opportunities, and leading cross-functional execution. Position is fully remote in the UK, Germany, or Spain; travel expected ~10%.

Veeva is hiring a Data Lead for the OpenData Europe team to own product strategy and roadmaps for reference data used by life sciences companies. The role is fully remote in the UK, Germany, or Spain, requires a strong technical foundation in data analytics or engineering, and involves leading cross-functional execution (travel ~10%).

Technical owner of the company's data platform responsible for architecture, technical leadership, and delivery. Partner with product, engineering, data science, and business stakeholders to design and implement ETL, data models, and AI-driven capabilities using Snowflake, DBT, SQL, Python, Airflow, Docker and AWS services. Requires 7+ years of data engineering experience and production cloud-native development.

Veeva seeks a bilingual (English C1, Arabic B2) Data Product Manager to own the OpenData product for the Middle East and North Africa (12 countries). The role is remote (UK, Germany, or Spain), requires 2+ years in data analytics or product management, strong SQL proficiency, and involves setting data strategy, driving roadmap and cross-functional execution, ensuring data quality, and engaging with customers and regional regulatory contexts. Travel is approximately 10%.

Veeva is hiring a Data Product Manager to own OpenData product strategy and roadmap across 12 MENA countries. Role is fully remote in the UK, Germany, or Spain, requires bilingual English/Arabic, a technical foundation in data analytics or engineering, and involves end-to-end cross-functional execution. Travel is expected at about 10%.

Work on the Data Platform to centralize internal and third-party data, building storage, processing, orchestration, streaming, and SDKs. Responsible for designing and operating data warehouses/lakes, Airflow, Spark, Kafka, data security, observability (cataloging, lineage, quality), and self-service tools to enable analytics and ML. Requires 5+ years backend experience and proficiency in Python, Go, or Java.

Build and own end-to-end data products (Data Feeds) and resilient distributed systems for multiple blockchain environments. Work with smart contracts and backend stacks (Golang, Solidity, Move, Rust, TypeScript, Postgres) in a remote role that asks for some overlap with Eastern Standard Time. Requires 7+ years of professional software engineering experience and experience with blockchain/Web3, systems design, and distributed/low-latency systems.

Senior/Lead role to drive transformation within Capital One Shopping by leading developers and diverse technology projects focused on analytics and shopping platforms. Work includes building cloud-based solutions (AWS/GCP/Azure), microservices, container orchestration (Docker, Kubernetes), and large-scale data and streaming systems (Kafka). Basic requirement: Bachelor's degree and at least 6 years of software engineering experience. Position is remote-eligible and Capital One may sponsor employment authorization.

Work on building and optimizing core C++ and CUDA libraries (dataframe and database accelerators) for GPU data processing, contributing to open-source projects (cuDF, Velox, Presto, Spark). Requires 5+ years' experience, strong modern C++ skills, and familiarity with parallel programming frameworks such as CUDA, OpenACC, or OpenMP. Position is based in the US with remote options; listed salary ranges for levels 4 and 5 are provided.

As an Analytics Engineer you'll own the Gold layer of the medallion architecture, define business metrics and semantic models, build and certify dashboards, and implement data quality, testing, and lineage. You will collaborate with data engineers, data scientists, and product teams to produce reliable data products and visualizations that drive decision-making.

Responsible for end-to-end data modeling and production ETL/ELT pipelines (dbt, Airflow) on modern warehouses (Snowflake, Databricks); build reusable data frameworks, dashboards (Looker/Tableau), and partner with Product, Engineering, and Data Science. Requires 5+ years experience, advanced SQL, intermediate-to-advanced Python, CI/CD and GitHub workflows, and experience with prompt engineering for LLMs.

Twilio is hiring a Staff Software Engineer for its Data Substrate team (remote, based in the United States). Responsibilities include architecting and implementing scalable data systems and storage, driving technical innovation, mentoring engineers, and ensuring data quality and security. Required: Bachelor’s/Master’s in CS or related field, 8+ years software development experience, expertise with big data technologies (Hadoop, Spark, Kafka), AWS, programming in Python/Java/Scala, and experience with data lakehouse formats (Hudi, Iceberg, Delta).

Hands-on Senior Data Scientist role (remote, based in Romania) responsible for end-to-end analytical solutions: extracting data from BigQuery and MariaDB, building pipelines and automation with Python and SQL, applying statistical and ML methods (regression, clustering, time series, A/B testing), serving models/APIs (FastAPI), and using AI-powered tools (Windsurf, Gemini, Claude, Cursor). Requires 7+ years of relevant experience, expert SQL, production-quality coding, data architecture expertise, strong communication skills. MariaDB does not sponsor work visas or relocation; travel may be required ad hoc.

Senior Data Scientist responsible for designing and building end-to-end analytical solutions, writing advanced SQL in BigQuery and MariaDB, developing pipelines and tooling in Python, leveraging AI assistants/LLMs, and communicating insights to stakeholders. Requires 7+ years in data science/analytics, expert-level SQL, production-quality Python or JavaScript, strong understanding of analytical methods and data architecture. Role is remote in India; MariaDB does not sponsor work visas or relocation. Travel may be required ad hoc.

Hands-on Senior Data Scientist role focused on designing and implementing end-to-end analytics: data extraction in BigQuery/MariaDB, building data pipelines and tooling in Python/SQL, leveraging LLMs and AI tools, and serving models/APIs with FastAPI. Requires 7+ years in data science/analytics, expert SQL, strong programming skills, experience with analytical methods and data architecture. Position is remote (Bulgaria); MariaDB does not sponsor visas or relocation.