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Urban Ridge Supplies
5+ YOECandidates need a computer science, data science or AI degree plus five or more years in a technical role building production systems. Strong Python, machine learning, LLM and RAG skills, cloud experience (Google Cloud preferred), and communication with non-technical stakeholders are required.
Python, Java, SQL, Spark, Google Cloud, Gemini
Hays
5+ YOECandidates need five or more years of data or software engineering experience, hands-on production work on Google Cloud, and advanced Python and SQL skills. Experience with ETL/ELT pipelines and orchestration tools such as Apache Beam, Airflow or Spark is expected.
BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer, Apache Beam
Hays
2+ YOECandidates need 2+ years of hands-on Databricks and Spark experience, strong Python (PySpark) and SQL skills, and knowledge of Delta Lake, AWS and Git. A bachelor's degree in a related field is required; Databricks or data testing certifications are a plus.
Databricks, PySpark, Delta Lake, Unity Catalog, AWS S3, AWS Glue
Staffmax
12+ YOECandidates need 12–18 years of data engineering experience, including 5+ years with Databricks and Spark at scale and 8+ years with enterprise data warehouse and data lake platforms. Strong skills in PySpark, Spark SQL, Delta Lake, CI/CD and AWS or Azure are expected.
Databricks, Cloudera, Hive, Impala, HBase, Airflow
Precision AI
4+ YOECandidates need 4+ years running production data platforms, strong Python, deep AWS experience with S3 and Athena, and workflow orchestration experience. They also need advanced SQL, open table format knowledge (Iceberg, Delta or Hudi) and solid machine learning and computer vision fundamentals.
AWS S3, Parquet, Delta Lake, Airflow, Dagster, Prefect
Dell
5+ YOECandidates need 5+ years in a customer-facing technical role, plus proven delivery of data, analytics or AI solutions. Hands-on experience with a major cloud platform and a leading data platform is required, along with strong communication skills for senior audiences.
Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse
Tiger Analytics Inc.
12+ YOECandidates need 12+ years of data engineering experience with a focus on AWS and AI, 8+ years running production data pipelines, and advanced Python, SQL and PySpark skills.
Snowflake, Databricks, AWS, dbt, Apache Spark, PySpark
DataVisor
8+ YOE2+ MgmtCandidates need 8+ years of software development experience and 2+ years in technical leadership. DataVisor requires deep Java experience, distributed real-time systems knowledge, and a Bachelor's degree in Computer Science or a related field.
Java, Python, Kafka, Flink, Spark, Cassandra
DataVisor
1+ YOECandidates need 1 to 5 years of software development experience, including Java, Shell or Python. Knowledge of relational databases and SQL is a plus, as are Spark, Kafka, Flink or Cassandra experience and Kubernetes.
Spark, Hadoop, HBase, Cassandra, Kafka, Flink
DataVisor
5+ YOECandidates need 5+ years of software development experience, including 5+ years in Java, Shell and Python. Experience with databases, big data and streaming technologies is a plus.
Spark, Hadoop, HBase, Cassandra, Kafka, Flink
DataVisor
3+ YOEDataVisor needs candidates with a Master's or PhD in a quantitative field and 3+ years of fraud, cybersecurity or risk experience. They must know classic machine learning, Python, SQL and production ML, and communicate clearly to technical and non-technical audiences.
Spark, SQL, Python, AWS, GCP, Azure
Electronic Arts
5+ YOECandidates need five or more years of production data or machine learning engineering experience. Strong Python and SQL skills, cloud, container and CI/CD experience, and experience with Terraform and Spark are required.
Python, SQL, Rust, Spark, Terraform, Docker
Altis
5+ YOECandidates need 5+ years as a data engineer or ETL developer, advanced SQL, and strong Python with Pandas. Experience with relational databases, data warehousing, Git and cloud platforms is valued, and strong English communication is required.
SQL Server, PostgreSQL, Oracle, MySQL, Python, Pandas
Altis
Candidates need hands-on enterprise data analysis and data modelling experience, strong SQL and data warehouse design skills, and experience with Azure data tools. Experience with data governance, Agile teams and test preparation is also valued.
SQL, Azure Data Factory, Azure Databricks, Delta Lake, Azure Data Lake Storage, Azure Synapse
Hydro-Québec: L'entreprise comprend quatre divisions :
6+ YOEBaccalauréat en informatique ou combinaison de formation équivalente; 6 à 9 ans d'expérience en ingénierie et modélisation des données; Très bonne connaissance de Python, SQL et des bibliothèques de Machine Learning
Python, SQL, Spark, PySpark
Hydro-Québec: L'entreprise comprend quatre divisions :
6+ YOEBaccalauréat en informatique; 6 à 9 ans d'expérience en Azure Databricks; Maîtrise de Python, Spark SQL et Power BI
Azure Databricks, Azure Data Factory, Azure SQL, Power BI, Terraform, Control-M
Hydro-Québec: L'entreprise comprend quatre divisions :
3+ YOEBaccalauréat en informatique; 3 à moins de 6 ans d'expérience en technologies de l'information; Bonne connaissance de Databricks et d'Azure Data Factory
Databricks, Azure Data Factory, Azure DevOps, Git, Spark, Python
ZoomInfo Technologies LLC
4+ YOECandidates need 4+ years as a data engineer with production pipeline ownership, strong SQL and Python, and hands-on Snowflake and dbt experience. Airflow and Fivetran are required, plus Databricks, Spark, AWS and GCP exposure, and good communication skills.
Snowflake, dbt, Airflow, Fivetran, Databricks, Spark
Databricks: Databricks is the Data and AI company.
7+ YOECandidates need 7+ years in customer-facing pre-sales, architecture or consulting, with strong skills in big data, data warehousing or machine learning. They should be fluent in SQL and have coding experience in Python, Scala, Java or R.
Spark, Delta Lake, MLflow, Kafka, Hadoop
Databricks: Databricks is the Data and AI company.
5+ YOECandidates need 5+ years in a customer-facing pre-sales, architecture or consulting role, with expertise in big data, data warehousing, data science or data applications. Fluency in SQL and a debug or development skill in Python, Scala, Java or R are also required.
Databricks, Delta Lake, MLflow, Koalas, Hadoop
Oscilar
Candidates need deep production experience running a database or analytical store under concurrent, customer-facing load, strong SQL and columnar query knowledge, and solid backend coding skills. They also need experience designing a multi-tier data platform and defending decisions with measurements.
ClickHouse, Databricks, Spark, Delta Lake, Iceberg, Kafka
16 companies