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Build and maintain scalable data pipelines and cloud-based analytics solutions using Python, SQL, and tools like Databricks and Spark to turn marketing and media data into actionable insights.
Design and maintain scalable data pipelines and architectures, ensuring data quality and accessibility for analytics, with a focus on SQL and Salesforce.
Build and maintain large-scale data pipelines using PySpark on Databricks, implementing ETL/ELT processes and lakehouse architectures for analytics.
Senior Data Engineer builds scalable pipelines, warehouses (Snowflake), and ML workflows in Azure to power analytics and AI agents, collaborating with scientists and product teams.
Design and maintain scalable data pipelines using Databricks, Spark, and Delta Lake, integrating diverse data sources for analytics and ML workloads.
Senior Data Engineer building scalable pipelines and data platforms to power analytics and AI features, using SQL, Python, Airflow, and cloud data tools.
Design and build scalable data pipelines using Spark, Databricks, and Snowflake to power analytics and AI/ML workloads for enterprise clients.
Build and maintain data pipelines, API integrations, and SQL-based reporting infrastructure for a cannabis-focused startup, using Python, Airflow, and BigQuery.
Builds and maintains data pipelines and Snowflake transformations to feed AI-driven analytics and decision-making systems using Python, SQL, and cloud platforms.
Designs and builds data pipelines, warehouses, and lakes using Java, Python, Spark, and SQL to move and transform data for analytics and applications.
Designs and builds ETL/ELT pipelines and data lakes, ensuring high-quality data flows using Java, Scala, Python, Spark, and Airflow.
Builds and maintains scalable ETL/ELT pipelines and data platforms using Python, SQL, PySpark, and Azure services like Databricks and Data Factory.
Senior Data Engineer builds secure, scalable ETL pipelines in Python, DBT, and AWS to integrate HR data sources, ensuring high availability and enabling analytics for HR leadership.
Senior Data DevOps Engineer builds and automates AWS CI/CD pipelines for data releases using Terraform and Kubernetes, ensuring reliable deployments across S3, VPC, EC2, and EKS.
Build and maintain AWS-based CI/CD pipelines and Terraform infrastructure for data operations, including Kubernetes deployments and automated testing.
Build and maintain software in Python and related web tech, under mentorship, while learning Agile practices and contributing to AI-driven products.
Build and maintain document-automation software for legal claims using Python, Flask/FastAPI, and PostgreSQL; debug and test features under senior guidance.
Build and lead cloud-native FinOps microservices in Python/AWS, owning full lifecycle from design to deployment and scaling.
Build and maintain scalable data pipelines and backend services using Python, PySpark, and AWS to power WinDifferent's marketing automation platform.
Build and maintain scalable, serverless data solutions on Google Cloud, integrating AI tools and engineering best practices for clients in retail, media, and travel.
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