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Senior Data and AI Engineer
Senior Data and AI Engineer designing, building, and operating data platforms, pipelines, infrastructure, and datasets that power enterprise reporting, analytics, and AI/ML across the business using Azure Fabric data stack and Python.
Senior Test Engineer - Data Platforms
A Senior Test Engineer responsible for designing, implementing, and executing test strategies for data pipelines and products in an Azure data platform, working with Azure Databricks, Azure Data Factory, and Power BI.
Lead Data Engineer ID71008
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML,…
Technical Lead - Data Engineer ( Databricks Azure)
Lead the design and build of scalable Azure-based data pipelines and medallion-architecture lakes to ingest and transform enterprise data (Microsoft, SAP, CRM, retail) for analytics and AI workloads.
Data Platform Engineer
Own and scale a company-wide data platform: build pipelines, maintain a single source of truth, and enable self-serve analytics for teams and AI tools using SQL, dbt, Airflow, Databricks, and Azure.
Financial Reporting Analyst
The Financial Reporting Analyst owns and elevates LERETA's financial reporting environment, sitting at the intersection of financial reporting, planning systems, and automation. The role is technically strong,…
Data Engineer GCP / Hadoop / PySpark (H/F)
Develop and maintain PySpark pipelines and data ingestion flows for a client's Data Lake using GCP and Hadoop in an Agile environment.
Remote Senior Data Engineer — Azure Data Platform
Senior Data Engineer builds and maintains Azure-based data pipelines and analytics infrastructure to make company data ready for analysis.
Data Engineer (H/F)
Builds and maintains scalable data pipelines, integrates heterogeneous data sources, and designs cloud/on-premise data architectures to support business use cases while ensuring data quality, governance, and performance.
Data Engineer Databricks — Build Pipelines & Lakehouse
Data Engineer Databricks role developing data ingestion flows to Data Lake, optimizing pipelines, and contributing to data extraction and visualization while ensuring data quality and team skill development.
Analytics Engineer
Build and maintain scalable data pipelines and metrics for DoorDash’s analytics stack, partnering with data engineers and scientists to deliver trusted, self-serve insights using SQL, Python, and tools like Snowflake and dbt.
Senior Software Engineer, Data Engineering
Build and scale data pipelines, warehouses, and models to power analytics and reporting at DoorDash, using Python/Java, Spark, Kafka, Airflow, and cloud data platforms.
Software Engineer, Data Platform (All Teams)
Builds and maintains DoorDash’s scalable data platform (Spark, Flink, Kafka, Airflow) to enable real-time analytics, data governance, and business insights for logistics/delivery operations.
Software Engineer II, Data Engineering
Build and scale high-performance data pipelines and warehouse models to power analytics and reporting at DoorDash, using Python/Java, Spark, Airflow, Kafka, and Snowflake.
Staff Software Engineer, Data Engineering
Lead the design and scaling of DoorDash’s data infrastructure, building reliable pipelines and models for analytics, reporting, and financial systems using Python/Scala, Spark, Airflow, and streaming tech.
Senior Software Engineer, Spark Platform
Build and scale DoorDash’s in-house Apache Spark platform, optimizing runtime, shuffle service, and Kubernetes-based scheduling to power data, analytics, and ML workloads at massive scale.
Analytics Engineer - Brazil
Build and maintain data models, pipelines, and dashboards to support analytics and reporting for DoorDash's logistics platform in São Paulo, using SQL, Python, and Snowflake.
Analytics Engineer - Brazil – Vaga exclusiva para PCD
Build and maintain data models, pipelines, and dashboards to support analytics and reporting for DoorDash's logistics platform, using SQL, Python, and Snowflake.