Senior Snowflake Data Engineer
Responsibilities The Senior Snowflake Data Engineer with Administration Experience will be responsible for the design, development, deployment and optimization of data pipelines and will also play the role of backup Snowflake admin. In this role, you will: The Senior Snowflake Data Engineer will split responsibilities between hands-on data engineering (pipeline development, data modeling, performance tuning) and backup platform administration (RBAC, cost optimization, backup recovery). They will work closely with Product Owners, Data Engineers, Architects, and Scrum/Kanban teams to ensure alignment with platform performance standards, security requirements, architectural designs, and Agile delivery expectations. Qualifications Required Qualifications: Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D. 7+ years of overall tech experience as Snowflake/Java/Python/ETL Developer and 2+ year of Snowflake Administration Ability to work independentl
Data EngineeringSnowflakeSenior Data Engineer
Senior Manager, Marketing Analytics & Operations
This is a remote position. Our client is a growth stage technology and data-driven commercial insurance wholesaler backed by a leading private equity firm. They are combining the worlds of insurance and technology to create an insurtech powerhouse, and are undergoing rapid digital transformation. They are building a centralized marketing analytics function and seeking a senior leader to establish the data foundation that supports performance marketing, attribution, reporting, and growth optimization across multiple business lines. This is a highly visible role reporting to the Head of Digital Marketing and will serve as the bridge between marketing, analytics, data engineering, and executive stakeholders. Employment Type : Full-time permanent Location : Remote - MUST be physically located in the US Compensation : $140,000-150,000 base + 15% bonus + full benefits (see below) What You'll Do: Design, build, and manage a centralized marketing data ecosystem leveraging Snowflake, dbt, data
MarketingMarketing AnalyticsMarketing Operations
General Accountant
Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental co
FinanceGeneral AccountantAccounting
GTM Engineer
About the Role We're looking for a highly technical GTM Engineer to architect and scale the systems, data infrastructure, automations, and AI capabilities that power Privy 's go-to-market organization. This role sits at the intersection of Revenue Operations, Data Engineering, AI, and Business Systems, owning the technology stack that supports Sales, Marketing, Customer Success, and Revenue Leadership. You'll be responsible for building and optimizing the workflows, integrations, data models, automations, AI agents, and operational frameworks that drive pipeline growth, improve GTM productivity, and unlock actionable revenue insights. This is a hands-on builder role for someone who thrives on solving complex business problems through systems design, data, and AI. What You'll Do Own and Scale the GTM Technology Stack Serve as the technical owner of Privy 's GTM systems, with Salesforce and Snowflake as core platforms. Design, build, and maintain integrations across the revenue stack, i
SalesGTM EngineeringRevenue Operations
Technical Account Manager - West Coast
Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we’ve built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we’re transforming how SaaS is secured—in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world’s largest Fortune 1000 and Global 2000 companies. With strong global momentum, a growing partner ecosystem including SentinelOne, Datab
Customer ServiceSalesTechnical Account Management
Data Engineer
Title: Data Engineer — Remote (US) Location: Remote — United States Employment type: Contract (6–12+ months) Indicative rate: $75–$100/hr Role Summary We are hiring a data engineer to build and maintain scalable data pipelines, warehouse models, and analytics-ready datasets. You will work with engineering and analytics teams to improve data quality, lineage, and reliability. Remote within the United States. Responsibilities Design, build, and operate ETL/ELT pipelines from operational and SaaS sources Develop batch and streaming workflows using Python, SQL, and cloud data services Model data in a warehouse/lakehouse (e.g. Snowflake, Databricks, or BigQuery) Implement data quality checks, monitoring, and incident response for pipelines Collaborate with analysts and data scientists on curated marts and metrics Document pipelines, schemas, and SLAs; support CI/CD for data code Optimize performance, cost, and security (IAM, encryption, PII handling) Required Qualifications 4+ years in dat
Data ScienceData EngineeringAnalytics Engineering