Top Data & Analytics Jobs

Own Hometap’s product and marketing event-data ecosystem, including taxonomy, tracking plans, governance, Segment Protocols, schema validation, and source management. Partner with marketing, product, and engineering to define instrumentation and event specifications. Build monitoring for schema conformance, event volume, and property completeness, while documenting standards and managing event review and deprecation processes.

Designs, develops, and operates scalable batch and streaming data pipelines and products. Integrates data from multiple sources, improves reliability and performance, establishes reusable engineering patterns, and supports AI, search, analytics, and machine learning workloads. Partners with technical and business stakeholders on architecture and requirements, while providing technical guidance and mentoring to less-experienced engineers.

Leads data engineering, data science, and AI initiatives, including Snowflake architecture, ETL pipelines, AWS data systems, data warehousing, analytics, and AI/ML solutions. Manages data governance, dashboards, experimentation, and web analytics integrations while building and mentoring multidisciplinary teams. Partners with Product, Editorial, Engineering, and business stakeholders to translate data needs into scalable solutions and drive business impact.

Staff Data Engineer responsible for setting technical direction, architecting scalable data platforms, leading cross-functional initiatives, improving reliability and performance, and enabling AI-assisted analytics and development. The role includes hands-on development with Python, SQL, cloud data warehouses, orchestration, infrastructure as code, Kubernetes, Kafka, and streaming pipelines, along with mentoring, technical advocacy, documentation, code reviews, and on-call troubleshooting.

Owns operational metrics, dashboards, recurring reports, and analytical workstreams for fulfillment domains. Develops advanced SQL datasets and workflows, validates data quality, performs statistical and root-cause analysis, and translates findings into recommendations. Partners with operations, analytics, data science, and technology teams to resolve ambiguous requirements and deliver trusted insights. Creates reusable practices, reviews analytical work, and mentors junior analysts.

Lead business intelligence initiatives supporting Snapchat’s Sales organization. Analyze data from multiple sources, identify campaign and industry trends, build dashboards and reports, deliver actionable revenue insights, and recommend optimization strategies. Partner with cross-functional teams on measurement strategies, product feedback, revenue programs, and growth initiatives. Communicate complex analyses to technical and non-technical audiences and influence business decisions through compelling data stories.

Build, optimize, and maintain scalable data pipelines and reusable datasets for business intelligence, marketing, and data science. Develop a federated data validation framework, optimize queries and data models, and protect sensitive healthcare data through privacy and security best practices. The role uses Python, SQL, AWS, Airflow, PostgreSQL, Snowflake, and modern data-stack technologies. This position is based in New York City and requires working onsite three days per week.

Leads the People data ecosystem, including Snowflake workforce data models, pipelines, governance, metric certification, and data quality. Develops scalable workforce analytics products using Visier and Snowflake, enables governed AI-driven insights, replaces manual reporting with self-service solutions, and manages a high-performing team of data and analytics professionals.

Architects and leads enterprise data engineering solutions, including data warehouses, master data management, data lakes, ETL pipelines, integration services, and data processing systems. Oversees end-to-end data solutions, troubleshoots complex engineering issues, ensures global data integration standards, and mentors developers, vendors, consultants, and partners. The role also supports data scientists and engineers through efficient database, warehousing, and data access architectures.

Develop and optimize Apache NiFi ETL workflows supporting a geospatial visualization platform. Manage data pipelines into PostgreSQL, integrate APIs and external systems, query large datasets with SQL, and transform data using Python. Monitor and troubleshoot AWS, PostgreSQL, and NiFi infrastructure; support data quality, database performance, geospatial data modeling, containerized development, Git-based workflows, and collaboration with analysts.