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hireVouch: Company Marketing Strategy
10+ YOECandidates need 10+ years designing and supporting data environments, deep knowledge of data modeling methods such as dimensional modeling, Data Vault and star schema, and experience with secure, high-availability solutions on Google Cloud, including IAM and Cloud Storage.
Google Cloud Platform, BigQuery, Anthos, Vertex AI, Google Cloud Storage
hireVouch: Company Marketing Strategy
Candidates need deep experience with large-scale distributed systems, production Python API development, and a major cloud provider. Strong product sense, comfort with ambiguous requirements, and fluent English are also required.
Python, FastAPI, Go, React, Next.js, Cloud SQL
Tiger Analytics Inc.
Candidates need hands-on Vertex AI experience, advanced SQL for BigQuery, Python for ML engineering and data preprocessing skills. Experience with Google Cloud Storage, Vertex AI endpoints and Gen AI or agentic architectures is also expected.
Vertex AI, BigQuery, Dataflow, AlloyDB, Spanner, Google Cloud Storage
Tiger Analytics Inc.
Candidates need hands-on experience with Google Cloud and Vertex AI, strong Python skills and production ML experience. Advanced generative AI, RAG and agent frameworks are also expected.
Vertex AI, BigQuery, Cloud Run, Cloud Functions, Pub/Sub, Dataflow
Tiger Analytics Inc.
Candidates need hands-on GCP and Vertex AI experience, expert Python skills, and knowledge of ML frameworks and generative AI such as RAG and agent frameworks. Experience building APIs, cloud architecture and scalable distributed systems is also required.
Vertex AI, BigQuery, Dataflow, Cloud Functions, Pub/Sub, Cloud Storage
Tiger Analytics Inc.
7+ YOECandidates need 7+ years of software, ML or AI engineering experience, strong Python skills, and hands-on experience building GenAI or agentic AI systems. Cloud deployment experience on AWS, Azure or GCP and comfort with client-facing work are also required.
Amazon Bedrock, Azure OpenAI Service, Azure AI Search, Azure AI Foundry, Vertex AI, OpenSearch Serverless
Deloitte
7+ YOECandidates need 7-10 years of technology experience, including 4-6 years building data platforms on Google Cloud. They need strong BigQuery, data pipeline, data modeling and governance skills, plus client-facing communication and stakeholder management.
BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Dataform
Celestica International LP
Candidates need to be enrolled in the 3rd year of a 4-year or 4th year of a 5-year program in data science, computer science, statistics, machine learning or supply chain management. Skills in Python, SQL, Power BI, Azure or Google Cloud, and machine learning are preferred.
Microsoft Azure, Azure Data Factory, Azure Databricks, Google Cloud Platform, BigQuery, Power BI
Thinkpivot: Thinkpivot Talent Solutions provides executive recruiting for discerning clients with specializations in Sales, Marketing and Technology roles..
Candidates need experience with large-scale production ML systems and strong cloud skills, ideally on GCP. They must also have hands-on experience with ML frameworks, containers, data pipelines and strong software engineering.
TensorFlow, PyTorch, Kubernetes, Docker, LangChain, LangGraph
KPI Digital
15+ YOE5+ Mgmt15 years of ETL/ELT and data pipeline experience; 7 years as a solution architect; 5 years in a senior management role
Databricks, Python, Azure DevOps, Terraform, Jenkins, Snowflake
Dandy
5+ YOECandidates 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
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, hands-on work with Gemini, Vertex AI and GCP, and strong Python and TypeScript skills. A Google Cloud certification such as the Professional Machine Learning Engineer is preferred and must be obtained within two months of starting.
Gemini Enterprise, Vertex AI, BigQuery, Google Agent Development Kit, React, Terraform
3+ YOECandidates need 3+ years of software development experience in a general-purpose language such as Java, Scala, Go, C++ or Python. They must be able to take complete ownership of a feature or project, and experience in the Ads domain is a bonus.
Kubernetes, Docker, Argo, Kafka, Spark, Postgres
3+ YOECandidates need 3-5+ years of experience running ML systems in production, strong Python, Java or Go skills, and solid knowledge of classic and deep learning methods. Hands-on experience with PyTorch or TensorFlow and designing scalable pipelines is required.
PyTorch, TensorFlow, Spark, Kafka, Ray, Airflow
Xsolla: Headquartered in Los Angeles, with offices worldwide, Xsolla operates as a merchant and seller of record for major gaming entities like Valve,…
5+ YOE3+ MgmtCandidates 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+ YOECandidates 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+ YOECandidates 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
Clutch Technologies Inc.: Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car buying and financing experience to drivers everywhere.
5+ YOECandidates need 5+ years of data engineering experience with production pipelines, advanced SQL and strong Python skills. Experience with a cloud data warehouse, dbt and Airflow, AWS, data modeling and DevOps tooling is expected.
Snowflake, dbt, Airflow, Python, AWS, TypeScript
Univeris
7+ YOECandidates 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
18 companies