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Senior/Lead Data Engineer - DATA & AI
Build and optimize large-scale data pipelines on Databricks and PySpark, then extend them with LLM evaluation, vector search, and ML model pipelines for AI-powered analytics.
Data Architect (Databricks)
Allata is a global consulting and technology services firm founded in 2016, with 350+ employees across the US, India, and Argentina. We partner with some of the world's largest enterprises to move AI from idea to…
Senior Software Engineer II - Data Onboarding & Reporting
Build and scale Trino/Iceberg-based data pipelines for Wise’s finance team, transforming raw financial events into audit-ready reports using Medallion Architecture and Kafka.
Data Analyst
Data Analyst builds BI reports, analyzes operational metrics, and drives data-driven decisions for a Ukrainian e-commerce ecosystem, using SQL, Python, and Power BI.
Databricks Data Engineer
Build and optimize large-scale data pipelines on Databricks using Delta Lake, Python, and SQL to process sales incentive compensation data.
Data Engineering Manager
Lead a 5-6 person data engineering team at a Databricks-backed consultancy, delivering ETL/ELT pipelines, cloud migrations, and real-time analytics for EMEA clients using Spark, Delta Lake, and cloud platforms.
Data Engineer, Analytics Data Products
Builds and maintains data pipelines and products in a hybrid cloud environment (AWS/GCP) to power analytics across The New York Times, using Python, SQL, PySpark, and dbt.
Data Engineering Manager
Lead a team that builds and maintains the data pipelines and warehouse powering Self Financial’s credit decisioning, risk models, and financial reporting using modern cloud data stack (Snowflake, dbt, Airflow) and lakehouse formats.
Senior Data Engineer
Lead a cross-functional team to build and enhance a data ingestion and entity resolution platform using Python, Java, Scala, and big data tools like Spark and Kafka.
data engineer for transformation analytics
Build and optimize cloud-based data pipelines and warehouses for analytics and ML, using AWS, Snowflake, and Python to power transformation programs for global clients.
Senior Data Engineer
Build and maintain AWS-based ETL pipelines (Glue/PySpark, Iceberg, Step Functions) and create Amazon QuickSight dashboards to deliver healthcare analytics for operational and strategic decisions.
Data Engineer – Senior
Senior Data Engineer builds and maintains Azure-based data pipelines and analytics-ready datasets for Alberta’s Digital Regulatory Assurance System, using Databricks, Synapse, and PySpark.
Data Engineer – Senior
Senior Data Engineer builds and maintains secure Azure-based data pipelines and products for Alberta’s regulatory compliance system, using Databricks, Synapse, and PySpark.
Data Architect (Databricks)
Design and build a modern Databricks Lakehouse platform, migrating legacy ETL to scalable pipelines and governing data with Unity Catalog.
Specialist - Data Platform Engineering
Build and maintain scalable data pipelines and streaming infrastructure using Spark, Flink, Kafka, and Databricks for reliable, high-performance data processing at scale.
Junior Data Platform Engineer
Build and maintain open-source data platforms using Python, SQL, Spark, and Kubernetes; develop ingestion pipelines, debug configs, and deploy dataflows under senior guidance.
Data Engineering Lead
Lead the design and build of a cloud-first data platform using Azure, Databricks, and Spark, while coaching a global team to deliver real-time analytics and AI-ready data pipelines.
Senior Data Engineer - Streaming
Design and implement a real-time streaming data architecture using Kafka, Spark Streaming, and Microsoft Fabric to replace batch processing with event-driven pipelines.
Senior Data Engineer
Design and optimize Spark/Scala pipelines on Microsoft Fabric/Synapse to build scalable batch and streaming data integration systems for enterprise analytics.