• Standardize Lattice’s data infrastructure and practices through establishing a simple, cohesive, and reliable platform that seamlessly integrates internal and partner data • Design, develop, and deploy scalable data pipelines that can ingest, process, and serve data across multiple teams for batch and streaming workloads. • Make data effortlessly accessible – abstract infrastructure complexity through reusable SDKs, libraries, and tooling • Shape data governance practices ensuring access to data is secure, compliant, and high-quality. • Partner with Engineering, Product, and business leaders to identify data needs and implement solutions that align with strategic objectives.

• Build, optimize, and maintain data pipelines into Palantir Foundry. • Integrate multiple healthcare data sources, including clinical, claims, supply chain, and other enterprise datasets. • Support rapid data onboarding to accelerate ontology development and population. • Design, build, and refine ontology objects, properties, relationships, and data mappings in Palantir Foundry. • Collaborate with business and technical stakeholders to translate requirements into scalable data and ontology structures. • Support ontology governance, versioning, and best practices. • Work across Pipeline Builder, Code Repositories, data integration workflows, and Foundry-based modeling efforts. • Contribute to a fast-moving implementation environment where rapid iteration and practical delivery are required.

• Apply and develop causal inference methods to estimate the effectiveness of Airbnb’s marketing initiatives. • Conduct data pulls, analyze trends, and create new features to support measurement efforts. • Design and analyze experiments to evaluate the impact of marketing campaigns. • Work effectively with cross-functional teams, providing insights that optimize marketing strategies. • Lead the creation of internal white papers and contribute to Airbnb tech blog posts.

Role Description As the Data Engineer you will be responsible for designing, building, and maintaining the data engineering function for a remote-first technology organization. This role oversees the full lifecycle of data architecture, pipelines, modeling, tooling, and reliability. It also involves operational duties and direct collaboration with technical leadership, including defining the complete data engineering strategy from the ground up. - Architect, implement, and maintain scalable data pipelines across core systems. - Build and manage analytics infrastructure using both open-source and commercial tools. - Ensure data quality and schema discipline for operational reliability. - Deliver clean, consistent models and dashboards utilized by multiple teams. - Collaborate with stakeholders to support analytics, business intelligence, and decision-making initiatives. Qualifications - 5+ years hands-on data engineering experience; big plus if you’ve been the first data hire before. - Strong SQL plus real programming ability (Python preferred). - Production experience with data tooling (Airflow, dbt, Fivetran). - Experience integrating APIs and working with warehouses/lakes such as Redshift, ClickHouse, or similar. - Experience with analytics/BI tools (Metabase, Looker, Tableau, PowerBI, etc.). - Comfortable with cloud infrastructure and IaC (AWS strongly preferred). - Soft skills to understand business needs and collaborate with non-tech teams on their use cases. - Embedded and real-time analytics experience is a plus. - Streaming architectures (Kinesis/Kafka), ClickHouse, ELK, VictoriaMetrics, reverse-ETL is a plus. Requirements - $5,000 - $7,000 USD/month - Unlimited PTO