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Data Scientist
Builds and deploys AI/ML models (including GenAI and agentic systems) for fintech operations, focusing on prompt engineering, model evaluation, and production monitoring to improve customer and business outcomes.
Amazon Technical Program Manager , Amazon Customer Service
Lead AI-native associate experience programs at Amazon, orchestrating cross-team delivery from pre-hire through career progression while defining scalable execution mechanisms.
Senior SAP BW / BDC Developer (Data Engineer – SAP Data & BI) (m/f/d)
Designs and maintains SAP BW/4HANA data pipelines, models, and BI solutions to integrate and optimize data flows for business reporting and analytics.
Senior Manager, Procurement – AI Analytics
Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new…
Senior Data Analyst - Business Insights & Operations
Senior Data Analyst building unified reporting pipelines and dashboards across Finance, Product, and Ops using SQL, Redshift, MongoDB Atlas, ThoughtSpot, and AI tools like Claude to automate analysis and create self-serve query agents.
Engineering-L2-Dallas-Analyst-Software Engineering
Software Engineer on the Data Platform team in Dallas, building and supporting batch and streaming data pipelines, curated datasets, and data quality controls on a modern Lakehouse/AI data stack using SQL, Spark, Python/Java, and tools like Snowflake, Databricks, and Iceberg.
Data Scientist, Virtual Agents
Data Scientist building real-time, low-latency AI tools using LLMs and NLP to assist call center agents across voice and messaging channels.
Senior Data Engineer
Senior Data Engineer designing and building scalable Azure Databricks-based data pipelines, ETL processes, and lakehouse architectures using Python, SQL, Apache Spark, and Delta Lake at a law firm.
Quality Data Analyst
Quality Data Analyst validating data pipelines, testing data transformations, establishing data quality standards, and building reports/dashboards for a large rural health system.
Staff Software Engineer
Staff Software Engineer at Intuit owning the Clickstream behavioral data platform backend—high-volume event pipelines, streaming services, and ingestion contracts—using Java, distributed systems, and stream processing technologies.
Sr Data Engineer
Designs and optimizes data pipelines for Disney/ESPN’s marketing analytics, ingesting vendor data (paid media, attribution, etc.) into Databricks/Snowflake for reporting and dashboards.
Head of Machine Learning - Aquaeye
Lead ML strategy, model development, and a team for AquaEye's AI-powered handheld sonar devices used in water rescue, working with Python, C, PyTorch, Scikit-learn, and embedded ML on IoT hardware.
Data Engineer
Data Engineer designing and maintaining scalable cloud-based data pipelines (primarily Snowflake) and ETL/ELT processes, supporting predictive analytics and AI/ML initiatives at an insurance company.
Principal Software Engineer
The Principal Software Engineer will architect end-to-end data solutions, lead cloud migrations, and design scalable data pipelines using big data and GenAI technologies. This role involves mentoring junior engineers and collaborating with stakeholders to implement data-intensive applications and infrastructure.
Machine Learning Engineer
Architect, build, and scale backend services for an agentic AI platform at Adobe, designing APIs, data pipelines, and agent orchestration infrastructure using Python, LLMs, vector databases, and cloud platforms.
Sr. Data Engineer, Analytics Engineering
The Senior Data Engineer will build and maintain data pipelines and models to support enterprise analytics using Python, SQL, and Snowflake. The role involves collaborating with cross-functional teams to ensure data quality and governance for internal stakeholders.
Principal Engineer Data Engineering
Design, build, and optimize enterprise data architecture, ETL/ELT pipelines, and cloud data warehouses at scale, using SQL, Python, and AWS/GCP, while leading DevOps/DataOps practices.