Act as bridge between business and technology, translating complex requirements into robust technical solutions.
Own the complete lifecycle of data products from ingestion through modeling, validation, and delivery.
Implement rigorous data validation processes and ensure data accuracy and integrity for AI and analytics.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they accelerate innovation and collaborate to build impactful solutions.
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, build, and improve production data models and products using SQL, dbt, Python, and BigQuery.
Turn business and customer questions into scalable solutions, owning delivery from scoping to actionable insights.
Partner with Product, Data Science, Engineering, and other teams to define requirements and manage expectations.
Lighthouse is a commercial strategy AI platform for hospitality, turning hotel data into real-time intelligence to drive revenue. With 850+ employees across 35 countries and over $100M in ARR, the company fosters a collaborative, innovative culture focused on customer success.
Take ownership of our dbt pipeline, improving data models for reliability and testing.
Maintain and extend our Looker setup, shipping new dashboards for stakeholders.
Strengthen data pipelines from Postgres to BigQuery and automate with Python.
Cosuno is a fast-growing tech startup revolutionizing construction through a digital platform for tenders and procurement. With a focus on diversity and inclusion, the team enjoys regular off-sites and a collaborative culture.
Own business intelligence reporting and analytics, transforming raw data into clear, dynamic reporting that drives decision-making across the company.
Design, build, and maintain compelling reporting in Looker, and work directly with stakeholders across Sales, Marketing, Customer Success, Product, and Finance.
Write clean SQL, build data models in dbt, and analyze large datasets to provide solid recommendations to leadership.
Teramind is a global leader in user behavior analytics, insider risk management, and workforce intelligence, using a predictive, AI-driven approach to safeguard organizations' people, data, and operations. They have been a fully-remote team since 2014 and offer competitive compensation and career growth opportunities.
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 own the data foundations that power decision-making across product squads, customer success, marketing, and external stakeholders.
Build and maintain scalable semantic layers and self-service analytics systems enabling non-technical stakeholders to access trusted insights.
Partner with product squads to translate operational and product challenges into production-ready data pipelines and analytics assets.
Our partner company is building a fast-scaling product and data ecosystem where analytics is a product itself, supporting healthcare innovation. It is a mission-driven organization offering a remote-first work model with a Paris office and a collaborative culture.
Drive business performance through proactive data analysis and actionable insights that land with leadership.
Own and evolve data pipelines, ensuring data is fresh, accurate, and trustworthy.
Build and maintain dbt models to serve recurring business needs across Growth, Finance, and Product.
Creative Fabrica is a subscription platform serving millions of creators, designers, and crafters worldwide. They are a fast-growing business with a small, collaborative team and a culture of ownership and intellectual curiosity.
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.
Architect the Operations Intelligence Warehouse, leading the cleanup and design of operational data in BigQuery.
Set data modeling standards with dbt, building dimensional models with testing, lineage, and version control.
Instrument the operation with dashboards and metrics for real-time visibility into throughput, cycle time, and yield.
Collective is on a mission to redefine the way businesses-of-one work, providing an integrated platform for business incorporation, accounting, bookkeeping, and tax services. Backed by General Catalyst, Sound Ventures, and other prominent investors, the company empowers self-employed individuals to achieve tax savings and financial independence.
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.
Support building robust pipelines and data models downstream of backend services (mostly in BigQuery) supporting internal reporting, machine learning, and financial use cases.
Optimize the Data Warehouse, spotting and raising opportunities to reduce complexity and cost.
Help define and manage best practices for the Data Warehouse, including payload design, logical modelling, metadata, and testing standards.
Monzo is a digital bank on a mission to make money work for everyone, offering personal, business, joint, kids accounts, savings, investments, and pensions. They have grown significantly over the last decade and are known for award-winning customer service and innovative products.
Design, build, and evolve Data Warehouses, Data Marts, and enterprise data models to support analytics and business decision-making.
Design, implement, and optimize scalable ELT pipelines and data processing solutions, ensuring reliability, performance, and maintainability.
Drive technical decisions related to data architecture, platform evolution, data modeling approaches, and integration patterns.
Sigma Software is building a scalable, reliable, and secure corporate Data Platform to power analytics and decision-making across the company. The company supports professional growth, knowledge sharing, and modern tools for high-quality solutions.
Design and maintain cloud data warehouse solutions using AWS services and dbt for scalable data transformation.
Build and optimize batch and near real-time ELT/ETL pipelines supporting enterprise data integration.
Partner with business and technical teams to deliver trusted datasets for reporting, analytics, and AI initiatives.
Modivcare is leading the transformation to better connect people with care, wherever they are, by facilitating non-emergency medical transportation and personal and home care. We serve the most underserved, with a focus on enabling greater access to care, reducing costs, and improving outcomes, and we value our team members with comprehensive benefits.
Build and operate production-grade ingestion pipelines from clinical, operational, and third-party systems into a Databricks lakehouse.
Develop and maintain dbt models to transform raw data into clean, documented, analytics-ready datasets.
Establish data quality, testing, and monitoring practices to ensure pipeline reliability and performance.
Zócalo Health is a tech-enabled, community-oriented primary care organization serving underserved populations with culturally competent care. Founded in 2021, the company is backed by leading healthcare investors and is scaling rapidly with a focus on value-based care.
Architect a greenfield, multi-layer data warehouse that separates analytical workloads from production traffic.
Build a semantic and metrics layer to ensure consistent metrics across all dashboards and products.
Own data quality, governance, multi-tenancy, and traceability for a scalable data platform.
Gather AI pioneers a vision-powered platform using autonomous drones to digitize warehouse workflows, capturing real-time data to improve efficiency and safety. As a leader in the robotics industry, the company fosters a collaborative culture focused on transforming the global supply chain.
Design, build, and operate data pipelines processing terabytes of transactional data daily using Airflow, BigQuery, and GCP services.
Own end-to-end data models and transformations powering merchant analytics, operational reporting, and ML features.
Improve data quality, lineage, and observability through testing, alerting, and validation frameworks.
Narvar is building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers, powering analytics, ML, and merchant-facing products for over 1,500 brand partners. The company serves 125+ million consumers worldwide across 38 countries and 55 languages, fostering a culture of innovation, collaboration, and inclusivity.
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.
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.
Assist in building and maintaining data models in Google BigQuery.
Partner with analysts and stakeholders to translate reporting needs into structured tables and Looker dashboards.
Ensure data integrity with validation queries and monitor Python-based Airflow DAGs for pipeline reliability.
Babel Street delivers advanced AI and data analytics solutions for identity intelligence and risk operations, serving government and commercial organizations. The company has offices in the US, Australia, Canada, Israel, Japan, and the UK, with a culture focused on safeguarding lives and protecting critical assets.