Design, build, and maintain a scalable data warehouse on Snowflake with clean models and documentation.
Implement data transformation with dbt to ensure reliable, well-tested pipelines.
Mentor analysts and peers, fostering a culture of learning and continuous improvement.
Age of Learning is a leading developer of Pre-K through 2nd grade learning resources. Having served over 55 million children worldwide, the company is a global leader in advancing equity, access, and opportunity for all children.
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 scalable, well-tested DBT models and develop maintainable ELT pipelines with observability and reliability.
Partner with product managers, engineers, and stakeholders to understand data needs and provide actionable paths forward.
Mentor other engineers, document logic and methodology, and promote transparency across the organization.
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group reimagining care for children with special health care needs, delivering 24/7 virtual and in-home medical, behavioral, and social care. The company is a fast-paced startup environment focused on compassion and innovation, with an unwavering commitment to children with medical complexity.
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.
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 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.
Lead the Analytics Engineering team to build a trusted semantic metrics layer powering decision-making across the company.
Partner cross-functionally with Engineering, Product, Data Science, Finance, and Executive Leadership to define data strategy and ensure scalable, accessible data.
Drive technical excellence in data modeling, governance, and infrastructure while managing and developing a high-performing team.
HighLevel is an AI-powered business operating system that provides agencies, entrepreneurs, and SMBs with infrastructure to build, automate, and scale their operations. With over 2,000 team members across 10+ countries, we operate as a global, remote-first organization built for speed and ownership, fostering a culture of initiative, clarity, and execution.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion through to analytics enablement.
Improve monitoring, alerting, and data quality across key pipelines.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. Over 400,000 players have joined, and the team operates with high ownership and fast iteration in a scale-up environment.
Work cross-functionally with Product and experts to conceptualize, prototype, and build data solutions
Build and maintain data engineering systems and high-quality data models from multi-source healthcare datasets
Develop and test data pipelines and draft internal and external technical documentation
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, and others, we are a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
Design, build, and maintain robust, scalable ELT/ETL data pipelines from various source systems into cloud data platforms.
Perform data modeling, including dimensional modeling, and build transformation layers using dbt to create analytics-ready datasets.
Support operational reliability, monitor data pipelines, and ensure SLAs for timeliness, freshness, and accuracy.
Troveo builds the data platform that AI labs and model builders need to train the next generation of models. Backed by top investors, we’re a small, high-impact team solving one of the biggest bottlenecks in AI development.
Design, develop, and maintain robust, scalable, and well-documented data pipelines.
Collaborate with the Tech Lead to ensure quality, performance, and maintainability of Data products.
Optimize data processing and operational costs while working closely with Data Analysts and Scientists.
Accor Tech & Digital is the innovation and technological transformation lab of the world leader in hospitality. Our 5,000 talents are committed to delivering tech and digital experiences across 110 countries, shaping the future of hospitality with a strong culture focused on development and sustainability.
Design and build robust data models and dashboards using dbt and modern BI tools like Count to support merchant and issuer success.
Develop analytical frameworks for merchant segmentation, performance metrics, and campaign measurement to drive strategic decisions.
Collaborate cross-functionally with sales, account management, and product teams to deliver analytics that support revenue growth and operational efficiency.
Kard is transforming customer loyalty with a rewards-as-a-service API platform, empowering partners from neobanks to financial institutions to offer tailored rewards. Backed by $30M from industry-leading investors, the company is reshaping customer engagement with a small, remote-first team.
Own the transformation layer, including design, build, and maintenance of complex dbt models for internal and customer analytics.
Manage and monitor data ingestion pipelines to ensure high availability and low latency.
Optimise cloud data warehouse performance and build automated testing frameworks to proactively catch data issues.
i6 provides the world’s most advanced end-to-end aviation fuel management technology, enabling operational efficiency, transparency, and sustainability for airlines and fuel suppliers. They are a remote-first company with offices in the UK and recently raised Series B funding.
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.
Lead the design and implementation of the enterprise data warehouse on Databricks, migrating from BigQuery.
Build scalable ETL/ELT pipelines and dimensional data models to support internal analytics.
Establish data warehouse standards, governance, and best practices across the organization.
Bloomerang is a nonprofit giving platform that helps tens of thousands of nonprofits raise more, recruit more, and retain more. The company has a mission-driven culture built on core values of Simplify, Care, and Act.
Administer a cloud data warehouse platform (e.g., Snowflake) including roles/permissions, performance tuning, security, and cost governance.
Design scalable, reliable, and secure data architectures and models.
Develop and maintain ETL/ELT pipelines using SQL, Python, and version control.
Fortune Brands Innovations is an industry-leading home, security and digital products company focused on transforming spaces into havens. With a high-performing team, they support an inclusive culture where associates are empowered to think big and learn fast.
Build and maintain ETL/ELT data pipelines for large-scale organizations.
Develop data solutions using SQL, Python, and tools such as Snowflake and AWS.
Collaborate with non-technical stakeholders to translate business requirements into scalable technical solutions.
We are a trusted technology and transformation solutions provider for global brands, with over 30 years of experience. We have more than 3,300 employees, €350/£300m in revenue, and a values-driven culture that has earned us recognition as a Great Place to Work.
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.
Leverage internal data and a modern data stack to provide valuable insights enhancing operations and business outcomes across all departments.
Develop expertise in navigating and generating insights from internal databases including Salesforce, and partner with various departments to identify data needs.
Work with Tableau and SQL to build customized dashboards, visual analyses, and self-serve tools, and leverage Snowflake Intelligence and Claude for AI-driven insights and automation.
Forward Financing is a financial technology company that unlocks capital for small businesses across America by offering revenue-based financing. The company has provided over $3.5 billion in funding to more than 71,000 small businesses and is recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®.
Lead the design and delivery of scalable data solutions within a modern data engineering environment.
Act as a technical leader collaborating with business and IT stakeholders to transform complex requirements into effective architectures.
Build and optimize data platforms using advanced technologies such as Python, Snowflake, and SQL.
The partner company focuses on data-driven solutions and modern data engineering. The company size is not disclosed, but it offers remote work and collaboration with global teams.