Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
We're building the future of mobility. At hlpy, we're building much more than a company. We're building the technology platform that is transforming how mobility services are delivered across Europe. Every…
Role: Data Engineer (Remote) Location: Remote (Work from Anywhere) Role Overview: We are hiring for one of our clients, seeking a Data Engineer to work on a full-time basis. The role involves designing, building, and…
The Senior BI Developer will design and maintain scalable ELT pipelines and BI dashboards within the Snowflake data warehouse to support global e-commerce operations. The role involves utilizing Python, SQL, and dbt to build data models and integrating AI/LLM solutions to enhance analytical insights.
A senior ML role at Hyper AdTech, a large Russian programmatic (mobile in-app RTB) advertising platform. Day to day the person builds and productionizes models for click/conversion prediction, bidding, budget pacing and traffic-quality scoring over large bidstream/event data using Python and classic ML tooling.
Senior BI Data Engineer at Lusha in Tel Aviv (hybrid, 3 days/week in office) who owns analytics foundations end to end — designing data models, pipelines, and the semantic/BI layer that power Product, GTM, and Finance decisions. Core stack: Snowflake/Databricks, dbt, SQL/Python, Airflow, with hands-on GenAI use in daily workflows required.
Internal Coupang transfer role: a Staff ML Engineer on the Coupang Media Group Offsite Ads team in Seattle designs and ships machine learning systems for ad targeting, ranking, bidding, and CTR/CVR prediction, using Python/Java, PyTorch, LLMs, and large-scale ML infrastructure.
Software engineer on DoorDash's MDX team building the agentic layer of its ML infrastructure: systems that let AI agents run modeling experiments, auto-research ideas, and self-heal ML pipelines for engineers across DoorDash, Wolt, and Deliveroo. Core work spans backend Python, distributed systems, agent orchestration, evaluation, and observability.
Build and own the data infrastructure and internal tooling at an AI lab in San Francisco — pipelines, ingestion, storage, transformations, and access controls supporting engineering, analytics, and business teams. Core stack includes Kafka, ClickHouse, orchestrators like Dagster/Airflow, and SQL.
Hands-on tech lead owning Quicklizard's end-to-end data architecture for its dynamic pricing platform: designing large-scale batch and streaming ETL pipelines, data lake modeling on AWS/GCP (Spark, Airflow, BigQuery, Kafka), query/cost optimization, and mentoring a team of data engineers while still writing code.
Analytics Engineer on Reddit's Data Science team, building and maintaining large-scale data pipelines, data quality checks, and internal analytics tooling for Consumer, Ads, and Marketing teams. Core stack includes Python, SQL, Spark, Scala, and Airflow, with a focus on ETL/ELT and data modeling.
Lead the technical strategy for Reddit's Ads ML Platform, building infrastructure and tooling that accelerates the full ML engineer lifecycle—from feature development and training data pipelines to offline experimentation and production model deployment—at large scale.
Senior Data Engineer on Point72's Market Intelligence proprietary research team in London, building end-to-end data pipelines, AI-ready data assets, and scalable cloud infrastructure to support fundamental and alternative data research. Core stack: Python, Spark, Airflow, and cloud platforms (AWS/GCP/Azure).
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.
Python engineer at PlantIn, a product company from the Genesis ecosystem building ML-powered hobby apps (PlantIn plant care, CoinIn coin identification), to develop backend services for new projects, design FastAPI REST APIs, build ETL pipelines, prepare datasets, and support existing services alongside the ML team. Onsite at the Podil office in Kyiv.
Senior Data Analyst at ZapSign (acquired by Truora) working fully remote from Brazil: a hybrid analyst/data-engineer role owning the company's data foundation — building the data warehouse (raw/stage/analytics/marts layers), ETL/ELT pipelines, metric governance, and dashboards. Core stack: SQL, Python, dbt/Airflow/Fivetran-style tools, and BI tools like Metabase, Looker Studio, or Tableau.
Stape, the #1 server-side tracking platform, is hiring an EU-based remote Data Engineer to own major parts of its analytics data platform: building batch and streaming pipelines, data models (star schema/medallion), and a greenfield production-to-CRM sync, using Python, SQL, GCP/BigQuery, Dataform/dbt, and Airflow.
Mid-level data engineer at an AWS consulting partner, designing and building scalable data lakehouse/warehouse platforms on AWS for clients across industries. Day to day: ELT pipelines with dbt, dltHub and Airflow, streaming/batch architectures, IaC with Terraform, and full ownership deploying solutions to production.
Senior data engineer/architect at Chaos Gears, a European AWS consulting partner. Day to day you design and build data lakehouse/warehouse platforms on AWS for clients in regulated industries, owning delivery end to end ('we build it, we run it'). Core stack: AWS data services, Apache Iceberg, dbt, Airflow, Kafka, Python and Terraform.
Identifies opportunities for others to replace or upgrade server components. Validates cabling, checking network environment build and connectivity is established. Monitors and assigns work in ticketing environment,…
About the Opportunity Oracle is proud to partner with Washington Vets to Tech (WaV2T) to support transitioning service members, veterans, and military spouses as they begin their civilian technology careers. If you’ve…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
