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Azure Data Engineer
Builds scalable cloud data pipelines and platforms using Azure, Snowflake, Databricks, and Python for healthcare and public-sector clients.
Lead Data Engineer
Lead a team to design and scale a data warehouse and pipelines using Azure Data Factory, Databricks, PySpark, and Kimball modeling, while coaching peers and improving reliability and performance.
Senior Data Engineer
Senior Data Engineer builds scalable, secure data platforms for banking, logistics and manufacturing clients using Databricks, PySpark, SQL and cloud orchestrators.
Enterprise Data Engineer
Design and build scalable data pipelines and curated models on Databricks Lakehouse to deliver trusted KPIs and self-service analytics for Finance, HR, and Operations teams.
Senior Data Engineer
Build and maintain scalable data pipelines using Python, PySpark, and SQL, applying software engineering best practices to data architectures in Azure and GCP.
Senior Data Engineer
Senior Data Engineer builds and maintains cloud-based data pipelines and Azure migrations using Python, PySpark, Databricks, and CI/CD tooling.
Senior Data Engineer
Build and maintain an Azure-based data platform using Databricks, PySpark, and SQL to create pipelines, models, and reports that drive business decisions and new data products.
Senior Data Engineer
Senior Data Engineer builds and scales the data platform powering BridgeFund’s lending decisions, risk models, and analytics using Python, PySpark, SQL, and Databricks.
Databricks Data Engineer | Lakehouse Pipelines & Governance
Designs and builds scalable data pipelines and curated data products on Databricks using SQL, Python, and PySpark with a focus on governance and quality.
Remote PySpark/Databricks Data Engineer – Pipelines
Build and optimize PySpark/Databricks data pipelines for investment platforms, translating business needs into scalable solutions in a hybrid setup.
Lead Data Engineer
Leads end-to-end data engineering projects, designing scalable ETL/ELT pipelines and cloud-based data architectures while coaching a team of engineers to deliver reliable, high-impact data solutions for enterprise clients.
Staff Data Engineer
Build and maintain a self-serve data platform for a large classifieds marketplace, owning batch and streaming pipelines, lake management, and APIs that power analytics and ML workloads using Databricks, AWS, Spark, Python, Kafka, and Airflow.
Data Engineering Principal
Principal Data Engineer designs and leads end-to-end data pipelines, ETL/ELT systems, and cloud analytics on Azure for enterprise clients, using Python, Spark, and modern architectures.
Data Engineering Manager
Lead a team to design and build scalable data pipelines, ETL/ELT workflows, and analytics platforms using Python, Spark, and Azure services for clients in AI and data-driven industries.
Data Engineer Consultant
Builds and optimizes data pipelines for clients using Databricks, Spark, and cloud tools to prepare clean, structured data for analytics and operations.
Data Engineer
Design and build scalable cloud data pipelines and platforms using Python, PySpark, DBT, and SQL, transforming raw data into AI-ready insights for healthcare and other sectors.
Data Engineer
Build and maintain a Databricks-based data platform on Azure, migrating legacy systems and developing PySpark/Airflow pipelines for reliable, scalable financial data pipelines.
Data Engineer
Build and maintain a cloud data platform using Databricks, Microsoft Fabric, and Power BI to create trusted, scalable data products for analytics, reporting, and future AI use cases.
Data Engineer
Build and maintain scalable data pipelines on Azure using PySpark and Synapse to integrate and process data for consumer-focused comparison platforms.
Data Engineer
Build and maintain cloud-based data pipelines on AWS/Azure, migrate systems to the cloud, and design ETL processes for analytics and operations.