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Engineering Manager, Data Platform & ML Ops
Lead a team managing Fingerprint’s data warehouse and ML Ops pipeline, ensuring reliable, scalable infrastructure for fraud-detection models and analytics using ClickHouse, DataBricks, and AWS SageMaker.
Cloud Architect
Lead end-to-end architecture for cloud, data, and AI systems, designing scalable, secure solutions and mentoring teams to ship production-ready AI in 30–45 days.
Lead Analytics Engineer
Lead Analytics Engineer responsible for driving monetization metrics and data pipelines, partnering with data scientists and engineering teams, using SQL, Airflow, Tableau, and other data engineering tools to build and maintain analytics solutions.
Site Reliability Engineer
Responsibilities: Design, implement, and manage cloud-based infrastructure using AWS, focusing on services like EC2, RDS, S3, IAM, SQS, and more, utilizing infrastructure as code tools such as Terraform for…
Senior Software Engineer, Regulatory Reporting
Lead architecture and automation for regulatory reporting using Python, Kotlin, or Java. Manage data pipelines and AI compliance workflows while partnering with Core Banking teams.
Founding Data & Analytics Engineer (NYC)
Founding Data & Analytics Engineer building Snowflake/dbt pipelines, AI-driven analyses, and data-powered web apps from scratch to power clinical insights and care delivery at a healthcare startup for aging adults.
Senior Product Analyst
Senior Product Analyst analyzes B2C user behavior to identify friction points, builds dbt data models, and runs A/B tests to shape product roadmap decisions at a fintech SaaS company.
Sr. Marketing Analytics Manager
As a Sr. Marketing Analytics Manager, you will be responsible for independently leading cross functional projects and managing senior marketing stakeholders. The ideal candidate will have a deep understanding of…
Deputy Manager, Analytics & Insights
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the…
GTM AI Manager, Sales Analytics
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the…
Head of Engineering, Data Platform
Lead a small team to design, build, and operate a modern, AI-native data platform in Snowflake and DBT that serves healthcare analytics and LLM applications while enabling self-serve access across the business.
Data Engineer
Build and operate data pipelines, workflow orchestration, and warehouse modeling for a climate-tech company using Python, SQL, and tools like Airflow/Dagster/Prefect.
Senior / Lead Analyst, Customer Insights
Build and own healthcare analytics solutions—custom data models, dashboards, and predictive models—to help customers improve outcomes and reduce costs using SQL, dbt, QuickSight, and AWS.
Data Engineer
Builds real-time data pipelines and warehouses to power customer-facing analytics and ML models for wholesale/distribution businesses using modern cloud tooling.
Senior Data Engineer, AI Platform
Senior Data Engineer building and scaling Zip's Data & AI Platform using cloud data platforms (Snowflake, Databricks), Python, SQL, Kafka, and vector search/RAG to power analytics, ML, and GenAI workloads for a Buy Now, Pay Later company.
Data Engineer
Design, build, and optimize scalable data platforms and ELT pipelines using Google Cloud Platform (GCP), BigQuery, Apache Airflow, and dbt.
Data Engineer (SQL/dbt) — Build Trusted Pipelines
Data Engineer maintaining data pipelines and dbt models, writing SQL to support business decisions across sales/operations, working with NetSuite and infrastructure teams. Core technologies: SQL, dbt, Git.
ML Engineer
Build and maintain MLOps pipelines and deploy ML models as scalable APIs for healthcare information systems, ensuring reliability, security, and compliance in production.
Data Analytics Engineer II
Build and scale Mercury’s metric layer and semantic layer using dbt, SQL, and Python to define and expose consistent insurance metrics (quotes, binds, premium, agency performance) for underwriting, sales, and claims teams.