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Build and maintain scalable data pipelines and a modern data lake on AWS to power AI/ML analytics modules.
Build and maintain scalable data pipelines and analytical datasets on AWS using Apache Iceberg, Glue, Athena, dbt, and Airflow to support healthcare analytics and operational use cases.
Senior Data Engineer builds and scales Satispay’s data platform, owning pipelines, analytics engineering with dbt, ML feature stores, and real-time streaming to power payments, savings, and investing features.
Senior data engineer building scalable data pipelines, modeling layers (Raw/Clean/Enriched), and implementing fuzzy matching algorithms in Python to clean and link records.
Design and prototype data models in Azure Data Lakehouse, translating business needs into conceptual, logical, and physical models while collaborating with engineers and stakeholders.
Key Responsibilities Data Platform Engineering Design, develop, and support data solutions using Microsoft Fabric. Build and maintain scalable data ingestion, transformation, and orchestration processes. Develop and…
Key Responsibilities Architecture & Design Design and architect the end-to-end AWS Data Lake and Lakehouse solution, including Landing Zone, Transformed Zone, and Curated/Consumption Zone layers Define and govern…
Designs and builds scalable data pipelines and warehouses for ad-tech/media clients using Python, AWS, Snowflake, Airflow, and dbt.
Designs and builds scalable Azure-based ETL/ELT pipelines and Lakehouse solutions for investment analytics, including data warehousing, modeling, and API/SFTP integrations.
Design and implement Microsoft Fabric data pipelines, medallion architecture, and AI-ready data models, then migrate legacy BI reports to modern Power BI with AI features.
Overview At Banner Life Insurance Company, we lead with heart and ambition. Every day, we transform purpose into progress, guided by our unwavering commitment to be better for our customers, clients, and communities,…
Designs and builds scalable cloud data pipelines on Azure Databricks and Synapse, enabling analytics and AI/ML workloads with PySpark, SQL, and CI/CD.
Salary: Salary range $130,000 - $180,000 to be discussed The company: Our client is an established technology consultancy with a growing Data & Analytics practice. This creates a fantastic opportunity for an…
Principal Data Engineer designs and builds scalable cloud-native data platforms for a large UK ecommerce retailer, using AWS services, Python, and SQL to enable analytics and decision-making.
Build and optimize scalable data pipelines on Databricks and Azure for analytics and BI, using PySpark, SQL, and Delta Lake to deliver reliable datasets and models.
Position Summary Our data engineering team is the foundation of this system, ensuring data is accurate, fast, and always available for our models and AI applications. As a Data Engineer , you’ll design, build, and…
Senior Data Analytics Engineer builds and maintains scalable data pipelines, analytics platforms, and Power BI reports using Microsoft Fabric, Snowflake, and SQL for a Tier 1 logistics client.
Build and maintain scalable data pipelines in Databricks, using Delta Lake and optimized SQL/Python to capture source changes and preserve historical data integrity for logistics analytics.
Leads a 50+ engineer team to architect, scale, and modernize Albertsons’ data platform (lakehouse, Medallion, streaming) while embedding AI-driven automation (agentic AI, RAG, LLM integration) to accelerate engineering velocity and enable AI-ready data products for retail operations like supply chain, merchandising, and store operations.
Builds and maintains secure data pipelines and lakehouse models to turn raw security telemetry into trusted intelligence for threat detection and investigations using Databricks, Spark, Python, and SQL.
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