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Founding full-stack engineer at a VC-backed cybersecurity startup building a platform that answers security questions once with evidence and feeds root causes to coding agents. You own everything from data ingestion and modeling to React UI, shipping Python and Prefect backend alongside the founder and early customers.
Build and maintain data pipelines that turn large, messy experimental fusion plasma data into clean, versioned, ML-labelled datasets, working with physicists, control engineers and customers. Core stack: Python ML (PyTorch/JAX), SQL/NoSQL and time-series databases, HDF5/Parquet/Zarr. On-site in Lausanne at an EPFL spin-out startup.
Lead Data Engineer at a HealthTech company whose platform helps health and wellness professionals run and grow their practices. Day to day: lead design of scalable data models, ETL pipelines, and cloud data architecture on AWS using DBT, Airflow, Prefect, Kafka, Snowflake, and Kinesis, while mentoring junior engineers.
Lead Data Engineer $100000 - $145000 per year | Ciudad de México, CDMX | Hybrid | Permanent Exciting Lead Data Engineer Opportunity with Thriving HealthTech Organization! A bit about us: We are an industry leader in…
Data Engineer at Shop2Shop, a South African payments fintech, builds and runs the data pipelines and platform: designing Dagster software-defined assets, ETL/ELT into a cloud warehouse, data quality and observability, and CI/CD deployments using Python, dbt, DuckDB, Athena, PostgreSQL, Terraform, Docker, Kubernetes and GitLab CI on AWS.
Player-coach Director leading SQUIRE's data organization (data engineering, ML, analytics) — about half the time hands-on building pipelines into Snowflake, half managing engineers, owning data architecture/strategy, and enabling AI/LLM use cases. Core stack: SQL, Python, Snowflake, dbt, and an orchestrator like Airflow/Dagster/Prefect.
Senior Data Engineer at Mainstay builds data products that are shipped as the core offering of its market-intelligence platform for the single-family rental industry, designing durable data models and reliable batch pipelines. Core stack: SQL, Python/Spark, cloud data warehouses (Snowflake/Redshift/BigQuery), plus orchestration tools like Airflow and AWS/Terraform/Docker.
Owns the data layer behind Kiwi's credit risk decisions: managing vendor credit data feeds (TransUnion, Clarity, Plaid), the Credit Risk layer of their Snowflake warehouse, dbt pipelines, data quality monitoring and alerting, and reproducible point-in-time training datasets. Stack: Snowflake, DBT, Airflow, Python, Metabase.
Data Engineer at Lawrence Livermore National Laboratory building and modernizing automated data pipelines and platforms that make mission-critical scientific and engineering data discoverable and reusable. Day-to-day work spans Python, Git/CI-CD, data modeling, metadata, REST APIs, and tools like Airflow; US citizenship and a DOE Q-level clearance are required.
Senior backend engineer on Quizlet's Search team: builds data pipelines that feed Elasticsearch, designs indices, and operates hybrid lexical+vector retrieval and low-latency query APIs. Core stack: Python, SQL/dbt, orchestration tools, Elasticsearch/OpenSearch, Docker/Kubernetes on cloud.
Lead a team of data scientists and engineers to design, build, and maintain large-scale data pipelines and infrastructure for real-time pricing optimization, using Python, SQL, cloud platforms (GCP/AWS/Azure), Airflow (or Prefect/Dagster), Docker and related tools.
Principal-level technical lead for Roblox's data platform orchestration: owns Apache Airflow and its Kubernetes (EKS) infrastructure that schedules and runs 8,000+ daily DAGs, mostly Spark jobs. Day to day: set multi-year architecture, scale and harden the scheduler, build internal platform tooling, drive observability/SLAs, and mentor engineers.
Senior Data Engineer at Mainstay, an AI-native market intelligence platform for the single-family rental industry (spun out of Opendoor). You'll build customer-facing data products, architect residential real estate data models, and run batch pipelines using SQL, Python/Spark, cloud data warehouses, and orchestration tooling — remotely.
Build and own the data platform powering trusted, petabyte-scale data for analytics, BI, and agentic workflows at a fintech leader.
Senior Python engineer on 2GIS's ETA/RTA team, building the ML engineering core: training and real-time inference pipelines, monitoring, and big-data processing for traffic detection and travel-time prediction for cars and public transport, handling billions of GPS points daily in production.
Design, build, deploy, and support production data and analytics products for investment teams at iA Global Asset Management — developing Python/SQL workflows for performance, risk, and fund analytics, orchestrating pipelines with dbt, Prefect, or Airflow on GCP/BigQuery, and visualizing results with Power BI or Streamlit.
Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика ждите сообщение от него в Сберчате, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение…
Designs and scales data platforms for analytics, product insights, and ML, leading architecture discussions, optimizing pipelines, and mentoring teams to improve data reliability and quality for a fintech company.
Senior Data Engineer at HelloFresh builds and scales data pipelines for marketing personalization using cloud and big data tools like AWS, Databricks, and PySpark to power customer-facing products.
About Imagine Worldwide All children have immense potential, but hundreds of millions don’t have access to the learning they need. Imagine Worldwide believes that every child should be empowered with the basic right to…
