Seesaw is seeking an experienced Data Engineer to join our Data Foundations team to build a distributed, privacy-conscious data platform, maintain and enhance our Snowflake-based data warehouse, ensure the reliability of our ETL pipelines, and support our evolving international data needs.

We’re looking for a Data Entry Specialist to join our team on a 4-month contract! In this role, you’ll be responsible for performing data entry tasks such as transferring inspection data from our client’s proprietary systems to client systems, entering replacement cost data into third-party software applications, and supporting other clerical functions as needed.

Architect data models to drive performance metrics and business analytics, develop reporting practices to enable decision making, and build dashboards to drive customer analytics. You will also deliver internal reports for Archive's finance and growth teams and manage ad hoc data requests. We use SQL, Python, Spark, PostgreSQL, Palantir Foundry, Hex, Snowflake, and AWS.

Headway is looking for a Data Engineer to help create access to affordable, quality mental healthcare across the United States. As a member of the Data Engineering team, you will collaborate with others in designing, building and implementing data pipelines that serve the core product and various stakeholders. You will be partnering with Data Science, Data Analytics and Core Infrastructure functions closely.

As a Data Analyst, you will be responsible for analyzing and interpreting data to drive business insights and optimize product performance. You will create reports, dashboards, and performance metrics to help teams make informed decisions and improve user experience. This role requires a data-driven mindset and strong analytical skills.

We are seeking talented Research Scientists to join our team, focused on advancing the capabilities of our AI-driven social platform; you will develop advanced models for video and audio generation tailored for real-world applications, with a focus on real-time and offline human-centric video generation.

Lead complex analytical projects, develop strategic insights, and implement advanced analytical models to drive data literacy and adoption. Collaborate with business partners to translate complex data findings into actionable recommendations, fostering a data-driven culture within the organization.

We are seeking a Data Scientist to join our growing data science team as a part of the fast-paced Product division at Healthcare.com. This role combines data science, analysis, and engineering to deploy and optimize machine learning models that directly impact business performance.

Take the lead in building Monte Carlo's next-generation Machine Learning capabilities. This is a high-impact role where you’ll work on challenging and exciting projects that directly shape the future of data reliability, and collaborate with a tight-knit team of expert data scientists and engineers.

The VP of Data Engineering will manage the leadership team that supports Data Engineering, Data Science, and Data Analytics. They will act as lead architect and take responsibility for the ownership of the data platform itself, impacting revenue, strategic decisions, and products across the company.