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Build and maintain data pipelines and warehouses to ingest, transform, and serve credit and lending datasets for a global fintech platform.
Build and maintain scalable data pipelines for a fintech startup, integrating customer financial datasets and ensuring high-quality debt data flows to power a global debt-raising platform.
Build and maintain Stash’s dbt-powered data mart and Looker semantic layer, ensuring reliable financial metrics for product, growth, and finance teams using SQL, Python, and modern warehousing.
About Us eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children,…
Build and maintain Jane’s BI platform, data pipelines, and semantic layer using dbt, Snowflake/Redshift/BigQuery, and AI-driven analytics to power trusted, self-service reporting and AI across the company.
Build and maintain the product analytics data foundation for a healthcare SaaS platform, enabling self-service analytics, experimentation, and AI through scalable dbt models, governed datasets, and trusted metrics.
Build agentic AI systems and automation tools for a trucking logistics platform, integrating LLMs and workflows with a live TMS and RPA stack to handle real-world shipping exceptions.
Build and operate backend services and data pipelines that ingest high-volume security telemetry, turning it into detection and remediation for customers using TypeScript/Node.js, Python, Go, and Kubernetes.
Build and improve internal AI tools and developer infrastructure to speed up engineering workflows, including CI/CD, ephemeral environments, and LLM-powered agents for a TV ad-tech platform.
Build and own the data platform for a proptech startup: design a semantic layer, govern metrics, and enable self-serve analytics so Finance, Growth and Ops can trust their KPIs and AI agents can query safely.
We are a global digital agency composed of strategists, creatives, media experts, data scientists, and engineers driven by one common purpose — accelerate business growth through marketing and digital transformation.…
Owns DDN’s analytics data pipeline: builds dbt models, ensures data quality, and maintains BI tools so teams can make decisions from clean, trusted datasets.
Lead Data Analyst at Parachute Health builds rigorous analyses across healthcare operations, revenue, and product to guide decisions; masters SQL, Python, and BI tools like Looker.
Senior Product Manager defining the data platform vision for Iterable’s AI-powered customer engagement platform, focusing on scalable, real-time data ingestion, governance, and activation to power cross-channel customer experiences.
Build and maintain cloud and on-prem systems that automate deployment, testing, and monitoring of Esri’s global geocoding services using AWS, Linux, Windows, and CI/CD pipelines.
Designs and maintains cloud-based DevOps pipelines for Esri’s ArcGIS Online SaaS platform, focusing on CI/CD, containerization (Kubernetes/Docker), IaC (Terraform), and multi-cloud operations (AWS/Azure) to scale mapping/geospatial analytics services.
Job Description The Sr Specialist within Operational Enablement & Effectiveness (OEE) / MAP has experience in clinical operations and is responsible for the development of data analysis and visualizations in…
Lead data analysis for a large European online automotive marketplace, integrating marketing data from acquisitions, building dashboards, and optimizing ad spend across Google, Meta, and other platforms.
Designs and builds AWS-based data lakes, warehouses, and ingestion pipelines using Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and Athena; writes Python/SQL and scripts in Shell/Scala.
Build and evolve a React/TypeScript and Node.js full-stack app in AWS for Hyatt’s finance team, comparing hotel investments using cloud databases and serverless services.
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