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Benevity
8+ YOE2+ MgmtCandidates need 8+ years of scalable development experience, including substantial data pipeline work, and 2+ years in technical leadership. Strong hands-on data engineering across streaming and batch, AWS lakehouse skills and a computer science degree or equivalent experience are required.
AWS, Apache Iceberg, AWS Glue, AWS Lake Formation, dbt, Kafka
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
Reflow
Candidates need experience with data warehouse architecture and scalable analytics infrastructure, strong SQL and data modeling skills, and hands-on work with ETL tools and cloud data operations. Curiosity about turning data into insights and an ability to balance cost, scale and complexity are also expected.
BigQuery, Snowflake, Redshift, Metabase, Tableau, Power BI
Numeris: Numeris is a leading audience data company curating data and insights that makes sense of media behaviours in a cross-platform, cross-media world.
7+ YOECandidates need 7-10 years of IT infrastructure or cloud engineering experience, including 5+ years of hands-on AWS work and expert Terraform skills. A bachelor's degree in a related discipline is required, with strong Azure, Linux, scripting and cloud security knowledge.
Terraform, AWS, Azure, GitHub Actions, Azure DevOps, GitLab
Camunda
7+ YOECandidates need 7+ years as a Java backend engineer on distributed or data-intensive systems, with experience on an analytical serving layer over a table format and object storage. They must lead medium-to-large initiatives end-to-end and communicate clearly in a remote-first team.
Java, Apache Iceberg, Delta Lake, DuckDB, Apache Flink, Kafka
Connor, Clark & Lunn Financial Group Ltd.
Candidates need proven experience building scalable data pipelines for structured and unstructured data, strong SQL and Python skills, and experience with orchestration tools and cloud platforms. They also need knowledge of data modelling, vector databases, agentic AI concepts and data governance.
SQL, Python, Airflow, Prefect, Dagster, Azure
Connor, Clark & Lunn Financial Group Ltd.
Candidates need proven experience building scalable data pipelines for structured and unstructured data, strong SQL and Python skills, and familiarity with orchestration tools and cloud platforms. Knowledge of data governance, AI safety and guardrails, and vector databases for LLM and RAG pipelines is also expected.
Airflow, Prefect, Dagster, Azure, AWS, Microsoft Fabric
Waabi
4+ YOEWaabi needs candidates with 4+ years of industry experience and a bachelor's degree in a technical field. Strong Python and software engineering skills, large-scale data pipeline experience and good communication are required.
Python, Apache Airflow, Apache Spark, Apache Hadoop, Apache Beam, Google Dataflow
Acceldata: Acceldata provides an Agentic Data Management platform that simplifies and speeds the ability for enterprises to deliver trusted data for AI and…
7+ YOECandidates need at least 7 years in distributed systems or data platforms, advanced Java, Scala or Python, Linux and Kubernetes skills, and a history of contributing to past projects. Fluent English and strong collaboration with open-source communities are also required.
Hadoop, Spark, Hive, Trino, Kafka, NiFi
Acceldata: Acceldata provides an Agentic Data Management platform that simplifies and speeds the ability for enterprises to deliver trusted data for AI and…
10+ YOECandidates need 10+ years in sales engineering or customer-facing technical roles and a bachelor's degree in computer science, engineering, data science or a related field. Hands-on work with AWS, GCP or Azure, Databricks or Snowflake, and data observability, quality or integration products is required.
Databricks, Snowflake, AWS, SQL, Python, R
Toptal
4+ YOEToptal requires a bachelor's degree, four or more years of hands-on analytics engineering or data analysis experience, and expert SQL with working Python. Candidates need fluency with LLMs and agentic coding tools, cloud warehousing such as BigQuery, and a modern transformation framework.
BigQuery, Dataform, dbt, SQLMesh, Git, Airflow
PointClickCare: PointClickCare is a leading health tech company with one simple mission: to help providers deliver exceptional care.
Candidates need experience with distributed computing tools such as Spark, Kafka and Databricks, and writing clean code at scale in Python or Java. Relational databases, RESTful APIs, test-driven development, Git and a computer science or related degree are also expected.
Apache Hudi, Trino, Apache Spark, Apache Kafka, Apache Flink, Apache Beam
PointClickCare: PointClickCare is a leading health tech company with one simple mission: to help providers deliver exceptional care.
10+ YOECandidates need at least 10 years of software or data engineering experience, including 4 years on batch and streaming data pipelines. They also need experience with Java microservices, cloud platforms, Lakehouse architectures and data quality and observability practices.
Apache Hudi, Apache Trino, Azure ADLS Gen2, Apache Spark, Databricks, HDFS
LawZero
5+ YOECandidates need a bachelor's degree in a relevant field and 5+ years of experience with large distributed data processing or ML data frameworks. They should have owned a high-throughput system under real reliability and cost pressure.
Ray, Apache Spark, Apache Arrow, Parquet, Kubernetes, Slurm
Xanadu: is a Canadian quantum technology company, and one of the world's leading photonic quantum hardware providers.
5+ YOECandidates need a mechanical engineering degree, 5+ years in data center thermal or mechanical systems, and skill in thermal simulation, GD&T and tolerance analysis. Strong communication and the ability to own complex hardware end to end are also required.
CAD, CAM, CFD software, FEA software, Ansys Icepak, SimScale
Homebase: Brands That Matter Winner 2024 - Fast Company
Candidates need production experience with streaming systems such as Kafka and CDC, hands-on Spark and Delta work, and strong Python and SQL. Experience with containers, infrastructure-as-code (ideally Terraform), data modeling and on-call duty is also needed.
Kafka, Debezium, Spark, Databricks, Unity Catalog, Terraform
Affirm: Affirm only uses legitimate company email address domains (either “@affirm.com” or "@us.greenhouse-mail.io”) to communicate with candidates via email.
4+ YOECandidates need 4+ years building backend systems at scale in Python or Kotlin, experience with highly available distributed systems on AWS, MySQL and Kubernetes, and a track record of writing technical plans. Strong written and verbal communication for a global team is required.
AWS, MySQL, Kubernetes, Python, Kotlin
EY
5+ YOECandidates need a technical degree, 5 to 8+ years of AI development experience with at least 2 years building production AI or agentic systems, and advanced Python skills. Hands-on experience with containers, CI/CD and API development is required, and consulting experience is strongly preferred.
Python, LangGraph, CrewAI, Docker, Kubernetes
Irth Solutions
3+ YOEExpérience en data science ou apprentissage automatique; Expérience pratique en Python et manipulation de données; Intérêt ou expérience en NLP, LLM et GenAI
Databricks, Python
21 companies