Build and maintain an internal Data warehouse that aggregates and organizes data from various source systems.
Build dynamic reports to facilitate complex business analyses and enable business users to answer their most important data-driven questions.
Help communicate across different business groups in order to bring a source of truth to data.
Revinate is a direct booking platform that leads the hospitality industry in driving direct revenue and increased profitability. With their products and people, they give hoteliers the superpowers they need to crush their goals, shifting share away from OTAs and driving tangible results. They power 1.1 billion Rich Guest Profiles across 12,500+ hotels to drive over $24 billion in direct revenue.
Development of various services in Python: integration with marketing partners, obtaining data from various sources.
Creation and support of processes on Airflow.
Supporting the migration of marketing data pipelines and DWH components from MS SQL to Google Cloud Platform (including BigQuery), contributing to architecture decisions and best practices.
Social Discovery Group (SDG) is one of the world's largest groups of social discovery companies, uniting millions of users on dozens of products. Our international team of 1000+ professionals and digital nomads works all over the world and we are proud to be a two-time “Great Place to Work” winner.
Design, build, and maintain scalable data pipelines using Python, Spark, and Airflow.
Collaborate cross-functionally with AI/ML and Product teams to implement new features.
Proactively identify and resolve bottlenecks in our complex ETL processes.
Sayari provides judgment infrastructure for trustworthy AI in economic security and commercial risk. They resolve primary-source records forming the ground truth of global commerce, and are headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv.
Build, maintain, and operate data pipelines and curated data products across Snowflake, Airflow (MWAA), AWS, Python, and SQL.
Implement observability and data quality controls and build monitoring for freshness, volume, schema, distribution, and lineage.
Define and enforce data platform standards, establish orchestration patterns, DAG anti-patterns, deployment practices, observability standards, data quality patterns, and operational runbooks used across the organization.
Owns organizational-wide data architecture, defining standards, patterns, and designs that our teams will implement.
Reviews data-related designs and implementations across teams for architectural consistency, performance, and scalability.
Designs and develops data pipelines, integrations, and platform features with performance and scalability in mind.
Tenna provides a platform that revolutionizes construction equipment fleet operations. They provide innovative solutions to customers looking for competitive ways to better manage and track their assets, such as heavy and light equipment, large fleets, tools, and materials. They value quality-obsessed, gritty, continuous learners, and collaborative problem solvers.
Lead, coach, and develop a team of analytics engineers and/or data engineers.
Ensure on-time delivery of client data integrations by owning enterprise data model standards and maintaining consistent, governed data definitions.
Oversee client data pipelines using modern tooling (dbt, Airflow, Snowflake, AWS, Python) to ensure reliable operation and uptime.
SmarterDx builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, their platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial.
Build and Maintain Bronze/Silver Layer Pipelines: You will ensure core data sources lands accurately, on time, and with full lineage.
Lead Data Ingestion, Transformation, and Enrichment: You will own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution.
Develop Automated Ingestion Pipelines: You will use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind.
Precision AQ is building a centralized Data Hub to consolidate fragmented data infrastructure, establish enterprise-wide data governance, and enable AI-ready analytics across our life sciences portfolio. This is a foundational initiative, not a maintenance role.
Model and document new datasets (both structured and semi-structured) to exploit the value across all our business units.
Partner with subject matter experts to document, align and automate business metrics that define success
Work with Analysts to optimize their use of data, either through query reviews, modeling exercises, or dashboard audits
Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. They infuse agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. World leading enterprise organizations use Outreach to power their revenue teams.
Build infrastructure and data automation pipelines to ingest, process, and load data from various sources.
Collaborate with stakeholders and data science teams to develop data products aligned with organizational goals.
Develop data analysis tools to provide insights and capture key metrics.
Columbia General is seeking a Senior Data Engineer to help transform data into actionable insights that drive decision-making. The company fosters a dynamic, collaborative environment that supports growth and innovation.
Develop Analysis Frameworks: Design and maintain scalable frameworks for client resolutions during POCs, onboarding, and production.
Build Monitoring & Alerting Systems: Create dashboards and real-time alert systems to monitor model performance and identify issues.
Drive Closed-Loop Model Improvement: Systematically monitor customer data to integrate real-world feedback into model development.
Socure builds identity trust infrastructure for the digital economy, verifying identities and preventing fraud in real time. The company hires critical thinkers who act like owners and cares deeply about solving customer problems with a high-performing team.