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Build and maintain HubSpot’s data foundation and AI-powered analytics pipelines using dbt, Snowflake, and Looker to support scalable ML models and decision-making.
The Staff Analytics Engineer will design and build a modern data foundation, creating reusable architecture, internal tooling, and AI-powered agentic workflows to support analytics and ML products. The role involves optimizing data pipelines, maintaining semantic models, and providing technical leadership to the Analytics Engineering team.
Designs and maintains scalable data pipelines and warehouses to transform raw data into reliable datasets for enterprise discovery services, using Python, Spark, and cloud-native tools.
Remote Data Engineer who designs, builds, and maintains ETL/ELT pipelines in Azure Data Factory, develops Snowflake data models and transformations with dbt, writes advanced SQL, and supports production pipelines for analytics and reporting.
Data Architect (remote) at QBrainX: leads the offshore data team while designing, deploying, and managing the organization's data architecture, databases, warehouses, and legacy migrations. Core stack centers on Azure data services (SQL, Data Factory, Data Lake, Databricks, Synapse), Snowflake, BigQuery, DBT, PySpark, and Power BI/Tableau; 10+ years experience required.
A senior data engineering architect who designs scalable data solutions on the Azure stack (SQL, Data Factory, Data Lake, Databricks, Synapse) and cloud warehouses like Snowflake and BigQuery. Day to day they build ETL/ELT and data models using T-SQL, Python, PySpark, and DBT, deliver BI in Power BI/Tableau, and lead/mentor the data team while aligning solutions with business stakeholders.
Syngenta's R&D Digital data science team is hiring a Machine Learning Engineer to build and deploy production-grade computer vision and ML solutions that turn drone, satellite, and sensor imagery into digital traits for seed breeding. Day-to-day work spans the full ML lifecycle — model development, cloud data pipelines, MLOps, and monitoring — using Python, PyTorch/TensorFlow, Docker, and AWS/GCP/
Data & Analytics Engineer in Cairo who assesses data quality, builds and maintains ETL pipelines, develops transformation layers, and creates dashboards and reports for stakeholders. Core stack includes SQL, Python, cloud platforms (Azure preferred), and Databricks/Fabric/Snowflake.
Senior data engineer at Numentica (NuStartz) who designs, builds, and optimizes scalable ETL/ELT data pipelines on at least one major cloud (GCP, AWS, or Azure), while helping migrate and modernize existing data workflows for analytics and BI. Core stack: SQL, Python, cloud data services, Git/CI-CD.
Hands-on technical lead who architects, builds, and operates a Microsoft Fabric data lakehouse (OneLake, medallion architecture, Spark/SQL, CI/CD), integrating 50+ enterprise sources. Day to day: leading data engineers, building pipelines and Power BI semantic layers, enforcing governance, and managing vendor delivery.
CustomerLabs, a B2B SaaS customer data platform, is hiring a Data Engineer in Chennai to build and maintain ETL/ELT pipelines, warehouses, and analytics for high-volume marketing data. Core stack: Python, SQL, GCP (BigQuery, Dataflow), Spark, Kafka, Airflow, and DBT.
Senior Data Engineer at Optum (UnitedHealth Group) designing and maintaining ETL pipelines that move consumer healthcare data to the cloud, enriching datasets and supporting predictive models. Core stack includes SQL, Python/Scala/Java, Snowflake or Databricks, cloud platforms, and DevOps/CI-CD tooling, with hybrid work from Dublin or Letterkenny offices.
Senior Data Engineer at Optum (UnitedHealth Group) building complex data pipelines and transformations into a Snowflake-based data platform for US healthcare Payment Integrity analytics. Day to day: ETL/ELT development with Snowflake, Airflow, SQL and Python, plus data quality, masking, and CI/CD in an Azure ecosystem, in a hybrid Dublin/Letterkenny model.
Mid-level Data Engineer (3+ years) at SteerBridge supporting a federal data modernization effort: designing and maintaining batch and real-time ETL/ELT pipelines, data lakes, and cloud workflows. Core stack includes Python, SQL, Pandas, PySpark, AWS Glue, and preferably dbt, Informatica, Azure Data Factory, and Databricks. On-site (3-5 days/week) in Vienna, VA; U.S. citizens with clearance eligibi
Staff Analytics Engineer at Coursera (now merged with Udemy) architects scalable data pipelines and enterprise-wide data models using Airflow, dbt, Databricks, and Sigma, drives data governance and observability standards, and builds self-serve analytics and external data products that power business, analytics, and AI initiatives.
Staff Analytics Engineer at Coursera (now merged with Udemy) architects scalable data pipelines and data models on the core data lake, leads enterprise data modeling and governance, and builds self-serve analytics products. Core stack includes SQL, dbt, Databricks, Airflow, and BI tools like Sigma/Looker.
Manager, Data Engineering at GoFundMe leads a data engineering team in Buenos Aires (hybrid), owning the roadmap, backlog, and delivery of the Data Platform while hiring, coaching, and developing engineers. The stack spans SQL, Python, Spark, Kafka, Snowflake/BigQuery, Airflow, dbt, cloud infrastructure, and CI/CD.
Position Summary: Data Engineer - Technology We are seeking a Data Engineer to help build and modernize our data pipeline architecture. The immediate mission: support the migration of ETL workloads out of Redshift…
Senior SDET contractor (12 months) designing and maintaining test automation frameworks (Python, Selenium) for PlayStation's UI, API, and backend systems in a hybrid Dublin role.
Data Engineer on Oddball's SEC team, building and maintaining data pipelines and infrastructure that power AI-driven information discovery (NLQ, semantic search, knowledge graphs) on the SEC's Enterprise Data Platform. Core stack includes Python, SQL/PostgreSQL, ETL tools, AWS data services (Athena, Glue, S3, Lambda, DataZone, SageMaker), and vector/graph database tooling.
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