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OMERS Administration Corporation
6+ ansCandidates need six or more years in data engineering or data platform roles supporting investment systems, with expert SQL, data modelling, Snowflake and Python experience. Experience with orchestration tools and integrations into investment systems such as Aladdin is required.
Snowflake, BlackRock Aladdin, Python, PySpark, SQL, Prefect
TobogganLabs: Toboggan Labs is the company formerly known as AlleyCorp Nord: same company, same team, new name and look.
5+ ans5+ ans d'expérience en développement logiciel; 2+ ans en infrastructure de données, ETL ou analytique; Expérience pratique des pipelines et de la data stack moderne
Python, SQL, TypeScript, dbt, Airflow, AWS
TobogganLabs: Toboggan Labs is the company formerly known as AlleyCorp Nord: same company, same team, new name and look.
3+ ans3 ans ou plus d'expérience professionnelle; Solide expérience pratique de SQL et Python; Compréhension de l'évaluation économique
SQL, Python, Git, dbt, Airflow, pytest
Owner.com
4+ ansCandidates need 4+ years in analytics, strategy or operations, and must have shipped data products, models or AI systems into production. Excellent numerical skills are required, with Claude a must and SQL or Python a plus, along with comfort managing or developing analysts.
Claude, Claude Code, SQL, Python, dbt, Snowflake
Owner.com
4+ ansCandidates need 4+ years in analytics, strategy, or operations, with very strong quantitative skills. SQL, Python, product analytics and AI tools such as Claude Code or Codex are strong assets, and restaurant or SaaS experience is a plus.
SQL, Python, dbt, Snowflake, Claude Code, Codex
Dandy
5+ ansCandidates need 5+ years in data engineering or analytics engineering, expert SQL, and Python skills. Hands-on experience with dbt, Looker or Hex and production ingestion pipelines is needed.
dbt, BigQuery, Fivetran, Looker, Hex
Thumbtack
6+ ans2+ gestionCandidates need 2+ years managing engineers or ready to step into management, 6+ years building production data or software systems, and strong SQL, dimensional modeling and Python skills. They also need experience owning datasets other teams depend on and good written communication.
BigQuery, dbt, Airflow, MetricFlow
Docebo: Imprint: https://www.docebo.com/company/imprint/
2+ ansCandidates need a bachelor's degree in a technical field or equivalent practical experience, 2-3 years of data engineering or BI experience, strong SQL skills on cloud data platforms, and familiarity with dbt, Airflow, Python and Git.
dbt, Airflow, Cloud Composer, Snowflake, BigQuery, Databricks
Xsolla: Headquartered in Los Angeles, with offices worldwide, Xsolla operates as a merchant and seller of record for major gaming entities like Valve,…
5+ ans3+ gestionCandidates need 5+ years in software, data engineering or data science, including 3+ years managing technical teams. They need strong ML and statistics knowledge, hands-on work with platforms like Snowflake and Airflow, and experience shipping ML systems to production.
Snowflake, BigQuery, Spark, Airflow, dbt, MLflow
Xsolla: Headquartered in Los Angeles, with offices worldwide, Xsolla operates as a merchant and seller of record for major gaming entities like Valve,…
5+ ansCandidates need 5+ years as a data scientist, with 3+ years in Spark, plus strong SQL and Python skills and experience building ETL/ELT at scale. Experience with orchestration tools, data modeling, and Kafka, GCP or AWS is also required.
Snowflake, Spark, Kafka, BigQuery, MySQL, Redis
Later
6+ ansCandidates need 6+ years in data, backend or platform engineering, strong Python and SQL skills, and dbt experience. Hands-on cloud experience with GCP and BigQuery, infrastructure as code, CI/CD and orchestration is needed, along with architectural judgment.
BigQuery, dbt, Fivetran, Kubernetes, AWS, GCP
Univeris
7+ ansCandidates need 7 to 10 years in data architecture or data engineering, expert SQL Server and PostgreSQL skills, and strong data modeling. Financial services or wealth management experience and governance program experience are highly desirable.
Microsoft SQL Server, PostgreSQL, Google BigQuery, Dagster, Airbyte, dbt
Relay: Relay is a financial technology company and is not an FDIC-insured bank.
3+ ansCandidates need at least 3 years of data engineering experience, advanced SQL, and production-grade Python. Hands-on experience with dbt, Dagster, Snowflake and a major cloud provider is required, along with BI tool experience.
dbt, Snowflake, Dagster, Python, SQL, AWS
Cloudbeds
Candidates need senior experience as a data engineer, data architect or tech lead in cloud data environments. Deep Snowflake and dbt skills, advanced SQL and Python, and CI/CD discipline are required, along with clear English communication.
Snowflake, dbt, Matillion, Sigma, Git, Jira
Babylist: The Babylist ecosystem now includes Babylist Health, which provides access to products and services including insurance-covered breast pumps,…
Candidates need years of shipped production experience, strong judgment on architecture and product tradeoffs, and a track record of changing how a team builds, including with AI. Fluency in Rails, React and TypeScript is listed, along with the ability to work ambiguously across teams.
Rails, React, MySQL, Snowflake, Airflow, Kubernetes
Babylist: The Babylist ecosystem now includes Babylist Health, which provides access to products and services including insurance-covered breast pumps,…
Candidates need experience shipping recommendation or personalization systems at scale in a consumer product, with strong recommender fundamentals such as candidate generation, ranking and cold start. They should be fluent in Python ML tooling, own models through deployment and monitoring, and connect model changes to conversion or revenue.
Python, AWS SageMaker, MLflow, Snowflake, Rails, MySQL
Babylist: The Babylist ecosystem now includes Babylist Health, which provides access to products and services including insurance-covered breast pumps,…
Candidates need years of shipping production systems and sound engineering judgment. They must be generalists who work across backend, frontend and data, learn unfamiliar parts of the stack quickly, and make decisions with incomplete information.
Rails, React, TypeScript, MySQL, Snowflake, Airflow
19 entreprises