Build and maintain data pipelines in Snowflake and dbt to support reliable, auditable reconciliation between internal and external systems.
Own and improve data workflows related to Claim Reimbursement and Contract Sales, ensuring accurate financial tracking and reconciliation with partners.
Partner closely with Accounting, Engineering, Operations, and Reporting to align and reconcile internal and external financial data.
Support Snowflake-to-Databricks data migration activities.
Design and implement scalable data pipelines using Snowflake, Databricks, SQL, Python, and dbt.
Optimize data workflows for performance, scalability, cost efficiency, and maintainability.
Hiflylabs is a Budapest-based company delivering Data Warehouses, Business Intelligence, and Data Analytics solutions. With over 250 employees and 10 years of experience, they serve financial, telecommunication, and energy sectors, fostering a culture of innovation and collaboration.
Collaborate with Finance stakeholders to understand requirements and deliver data models for financial reporting.
Build and maintain dbt models across the full modeling stack following layered dimensional modeling practices.
Apply software engineering best practices to analytics code: version control, testing, CI/CD, and documentation.
Seismic is a software company that provides a sales enablement platform. The Corporate Data & Analytics team builds data assets for financial reporting and planning across the business.
Design and build end-to-end data solutions for Core products, including data ingestion, modeling, and semantic layer development.
Develop and maintain analytics-ready data platforms using Snowflake, dbt, and Looker, supporting provider sales and operational metrics.
Mentor junior team members and champion data governance practices to ensure data quality and consistency.
PatientPoint is a digital health company that transforms healthcare by delivering behavior-changing content at critical moments of care. It is the nation's largest digital network in 30,000 physician offices, with a purpose-driven and collaborative culture.
Build and maintain data transformation pipelines using dbt and Snowflake, ensuring data quality and lineage.
Harmonize multimodal clinical data from multiple health systems into a unified ontological layer for AI developers.
Implement data quality tests, CI/CD, and version control best practices for analytics codebases.
Dandelion Health is a health tech company building the world's largest AI training and clinical development platform. It is a small, early-stage startup with a culture of learning from data and improving to help clients improve health through AI.
Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into Snowflake Data Cloud.
Manage and optimize data flows within an AWS environment, leveraging Databricks and Python for high-scale processing.
Implement a Semantic Layer via dbt to standardize business logic, metrics, and dimensions for all downstream consumers.
Instructure creates intuitive products that simplify learning and personal development, amplifying the power of people to grow and succeed. They offer competitive benefits and a culture rooted in inclusivity, support, and meaningful connection.
Design, develop, and maintain resilient, scalable, end-to-end data pipelines with Snowflake and Python.
Partner with product owners and analysts to gather requirements and deliver data solutions aligned with business goals.
Act as a subject matter expert, mentor junior engineers, and champion DevOps practices including CI/CD and automated testing.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups and health systems to optimize practices and improve patient care through its cloud-based platform. The company is led by top industry talent and physician leadership, focusing on reducing healthcare costs and improving outcomes.
Drive the change in healthcare by building products to integrate fragmented healthcare services as an end-to-end experience.
Lead technical design and implementation of reliable, scalable, and efficient data infrastructure and software solutions.
Collaborate across teams including Product, Sales, and Clinical Operations to translate business requirements into a technical roadmap.
Accompany Health is a primary, behavioral, and social care provider for patients with complex needs, offering at-home, virtual care, and 24/7 support. The company is an equal opportunity employer with a distributed team across the country, focused on evidence-based practice and long-term patient relationships.
Assist in designing, developing, and maintaining analytical reporting ETL pipelines and front-end dashboards using SQL, Python, Snowflake, and pipeline management tools.
Contribute to QA and UAT protocols, proactively identify and resolve data quality issues, and support training for data users.
Collaborate on advanced analytics prototypes to drive strategic initiatives and maintain documentation for scalability.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing world-class content across film, television, streaming, and theme parks. As a subsidiary of Comcast Corporation, it employs thousands globally and champions an inclusive culture with a rich tradition of community giving.
Build, maintain, and operate data pipelines across Snowflake, Airflow, AWS, Python, and SQL.
Optimize Snowflake architecture at scale, including cost controls and performance tuning.
Lead incident response, drive postmortems, and enforce data platform standards across teams.
Attain Finance is a financial technology company that provides lending and financial services through multiple brands. They emphasize a technology-driven, collaborative culture with a focus on operational excellence.
Design, build, and maintain robust data structures for RevOps metrics and performance reporting.
Serve as the data expert lead for critical RevOps systems, ensuring data extraction is clean and optimized.
Develop, optimize, and maintain complex SQL queries and data logic using DBT on Snowflake.
Coupa provides a community-generated AI and total spend management platform for businesses, leveraging trillions of dollars of spend data. The company has a global network of 10M+ buyers and suppliers and fosters a collaborative, transparent culture.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
Build the data platform by designing and maintaining scalable ELT/ETL pipelines and owning the cloud data warehouse.
Ensure data quality and governance through clean transformation layers, testing, monitoring, and security practices.
Partner across engineering and product teams to support product analytics, experimentation, and business reporting.
An international product company building SaaS products, AI-powered solutions, and modern web and mobile applications for global markets. They are scaling and investing in a modern data platform, with a collaborative, product-focused team.
Build reusable data models and pipelines to become the source of truth for the Video product team.
Establish data and analysis infrastructure for scalable A/B testing and experimentation.
Develop predictive and causal models to improve forecasting, retention, pricing, and product strategy.
PlayOn is the largest platform for high school sports in the US, reaching millions of fans, parents, coaches, and student athletes across NFHS Network, MaxPreps, and GoFan. Backed by KKR, we are a growth-stage company on a mission to make high school sports more accessible, more memorable, and more connected than ever before.
Design and build data pipelines and architectures within the Snowflake Cloud Data Platform.
Collaborate with architects, developers, and business partners to deliver data engineering solutions.
Implement Snowflake objects including pipelines, transformations, and data models for analytics.
Medavie is a national health solutions partner that innovates in insurance, primary care, and emergency medical services, impacting millions of Canadians. With a team of over 8,000 professionals, Medavie fosters an award-winning, inclusive culture emphasizing flexibility, growth, and wellbeing.
Design, build, and maintain data pipelines that ingest and transform healthcare data through staging, transformation, and mart layers.
Write and maintain dbt models following established conventions, ensuring transformations are testable and performant.
Implement data quality tests, monitor pipeline health, and resolve data anomalies to ensure accuracy of downstream reporting.
Privia Health is a technology-driven physician enablement company that partners with medical groups and health systems to optimize practices and improve patient care. The company is led by top industry talent and uses cloud-based technology to reduce healthcare costs and improve outcomes.
Build and own data quality and observability across a data platform, profiling data and defining quality rules to catch issues early.
Establish quality metrics, monitoring, and alerting, and track quality SLAs while investigating and resolving data issues at their source.
Partner with data engineering and business stakeholders on quality standards and reporting, leveraging strong SQL and Snowflake expertise.
Allocate is transforming private market investing by enabling RIAs and family offices to discover, model, and manage private market exposure through a data-rich platform. They are a growth-stage company that values meritocracy, civil discourse, and continuous improvement, embracing technological change especially around AI and automation.
Build and maintain data models and transformations powering reporting in the Skimmer product using Fivetran, dbt, and Sigma Computing.
Manage and extend data ingestion across growing sources, develop transformations in Python and SQL against Snowflake.
Partner with product and engineering to turn customer needs into reliable, performant reporting experiences.
Skimmer builds a product that helps pool professionals understand and grow their businesses through data models and customer-facing reports. The company has a strong culture with a very high eNPS, emphasizing hard work, celebrating wins, and continuous improvement.
Design and develop scalable batch and streaming data pipelines for customer experience analytics.
Build and optimize production-grade ETL/ELT workflows and data warehouse architectures.
Enable AI and machine learning analytics by developing curated datasets and feature pipelines.
itD is a consulting and software development company that blends diversity, innovation, and integrity. The company is woman- and minority-led and empowers employees to deliver great results.
Design and build scalable data models and pipelines using Snowflake and dbt.
Collaborate with cross-functional stakeholders to translate business needs into data solutions.
Establish best practices for data modeling, metrics, and documentation to enable self-service analytics.
The company is a remote-first SaaS provider building scalable solutions for enterprise customers. It fosters a culture of ownership, collaboration, and continuous innovation.