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Senior Data Engineer builds and maintains scalable data pipelines and warehouses using Spark, Kafka, Airflow, and BigQuery to transform raw data into reliable systems for analytics and ML.
Build and optimize cloud-based data pipelines and warehouses to power analytics and future AI initiatives using Python, SQL, and Azure/AWS.
Builds and maintains large-scale data pipelines on Palantir Foundry/AIP, designing scalable solutions for enterprise datasets, and enabling AI/ML use cases using Python, PySpark, TypeScript, and AWS services like S3/Redshift.
Build and maintain scalable data pipelines, architect analytics solutions, and mentor junior analysts using SQL, Python, and cloud platforms like AWS/Snowflake.
Build and maintain automated data pipelines and analytics infrastructure at Salesforce, transforming raw data into actionable insights using Spark, SQL, and cloud platforms.
Lead the modernization of an AI-powered risk-intelligence platform’s data stack, migrating from Redshift to Snowflake and building governed pipelines, models, and telemetry to power analytics and AI agents.
Build and maintain ETL pipelines using Python, PySpark, and AWS Glue, orchestrating workflows with Step Functions and Lambda while optimizing Redshift and S3 storage solutions.
Build and maintain AWS-based ETL pipelines using Python, PySpark, and AWS Glue/Lambda/Step Functions to move and transform data in S3, Redshift, and RDS.
Designs and delivers scalable, enterprise-grade data platforms using cloud ecosystems like Databricks, dimensional modelling (Kimball), and modern data pipelines.
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their AI and technical capabilities to create business…
Build and maintain ETL pipelines using Python, PySpark, and AWS Glue, orchestrating workflows with Step Functions and Lambda while optimizing Redshift and S3 storage.
Build and maintain cloud-based data pipelines and ETL solutions on AWS using Python, PySpark, and AWS Glue/Lambda.
Build and maintain data pipelines and ETL processes using Python and AWS services to feed data warehouses and lakes for a global restaurant group.
Lead a team applying AI/ML to marketing, audience modeling, and healthcare analytics at GoodRx, building models that drive prescription savings and business decisions using Python, Spark, and cloud platforms.
Senior Business Data Analyst at Intuit builds and optimizes headcount and capacity plans for TurboTax operations, balancing customer experience, employee experience, and cost efficiency using data analysis, BI tools, and AI/GenAI.
Owns end-to-end analytics for Whole Foods Market promotions, building self-serve dashboards in QuickSight/Redshift and translating data into actionable insights for merchandising and marketing teams.
Build and deploy AI/ML models and analytics for defense health programs, using Python, SQL, and cloud services to deliver predictive insights and decision-support tools.
Principal Data Engineer designs and builds scalable cloud data pipelines and warehouses for T-Mobile’s ad-tech platform, leading teams to deliver self-service analytics and big data solutions using Snowflake, Databricks, and AWS.
Maintain and optimize enterprise databases (SQL Server, PostgreSQL, MongoDB, AWS RDS/Aurora) for a healthcare company, ensuring security, high availability, and performance while supporting analytics and cloud migration.
Accenture is a leading solutions and services company that helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise,…
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