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.
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.
Lead the design and implementation of robust data platforms using Azure Data Stack, including Microsoft Fabric, Azure SQL, and Power BI, to enable data-driven decision-making.
Architect scalable data models, ETL/ELT pipelines, and analytics layers, ensuring data governance, security, and compliance with retention policies.
Mentor junior team members, perform code reviews, and drive adoption of AI-assisted data engineering tools and practices.
3Pillar is an AI transformation partner that builds AI-native products and intelligent agents for enterprises, working with leading companies in financial services, healthcare, media, and technology. With teams across North America, Europe, Latin America, and Asia, they foster a global, remote-first culture focused on innovation and collaboration.
Own the vision, strategy, and roadmap for the Enterprise Data Platform, including capabilities, reliability, governance, and AI readiness.
Drive the consolidation of legacy data into governed, business-ready data products on the Enterprise Data Hub.
Partner with engineering and architecture to deliver platform capabilities that power AI-enabled and natural-language analytics across the organization.
EzCater is the #1 food tech platform for workplaces in the US, connecting organizations with over 125,000 restaurants nationwide. The company values work/life harmony and offers a collaborative, high-performing environment with passionate colleagues.
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.
Own data architecture at Buildkite, setting the strategy and technical direction for the entire data effort.
Design for agents and humans both, making data discoverable, trustworthy, and safe to act on.
Choose the stack—query engines, semantic layer, ingestion, streaming, and storage—rather than inherit it, and stay hands-on where it counts.
Buildkite provides a continuous integration and deployment platform for software teams, with a focus on developer tools and CI/CD. The company is a remote-first organization of about 150 people, fostering a flat, high-autonomy culture that values deep focus and genuine team overlap.
Design, build, and evolve large-scale, cloud-based data platforms supporting analytics, machine learning, and business intelligence.
Lead the development and optimization of scalable ETL/ELT pipelines for batch and near real-time processing.
Define data architecture standards, modeling approaches, and governance frameworks across projects.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They process applications using AI to ensure fair review and share shortlisted candidates directly with employers.
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.
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.
Lead complex data engineering workstreams across multiple business areas and source systems.
Define data engineering approaches aligning business needs with platform constraints and transformation patterns.
Guide the design of scalable ingestion, transformation, and serving patterns for cloud data platforms.
Valtech is an experience innovation company that helps brands unlock new value through digital transformation. With a global team, Valtech fosters a culture of creativity, diversity, and collaboration, driven by values of share, care, and dare.
Lead design and ownership of scalable data pipelines using SQL, Python, dbt, and cloud-native tools on Snowflake.
Architect and optimize Snowflake environments, including cost governance, performance tuning, and cloud integration.
Enforce data governance frameworks, security protocols, and data quality standards across the platform.
BlueCloud is a Snowflake Elite Partner and 2026 CoCo Catalyst Partner of the Year, helping enterprises migrate to AI-ready Snowflake platforms. With 450+ consultants and 200+ transformations, they deliver data solutions 40–50% faster across multiple industries.
Prepare clean, documented datasets as a product for AI agents and self-service analytics.
Promova redefines language education for the AI-powered era, making learning accessible and personal worldwide. With over 150 teammates, they blend AI innovation with human creativity to connect people and bridge cultures.
Design, build, and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases.
Optimize ETL/ELT workflows for performance, scalability, and fault tolerance, and develop dbt workflows for partner analysis.
Collaborate with analytics, product, and ML engineers to develop and deploy reliable data products and support machine learning initiatives.
NinjaTrader is an industry-leading trading platform and futures broker that empowers traders with cutting-edge products and services. Since 2003, the company has grown to over 2 million users and is the number one rated futures brokerage worldwide, fostering a dynamic culture focused on social connection, professional development, and employee recognition.
Partner directly with enterprise customers to design, build, and scale data solutions that power business-critical applications.
Architect modern cloud-native data platforms using Databricks, ClickHouse, Python, and distributed processing frameworks.
Drive best practices in data governance, security, observability, and operational excellence across engineering teams.
Resilinc pioneers intelligent, autonomous systems for supply chain risk management, using agentic AI to help global enterprises predict disruptions and act in real time. The company is a fully remote, mission-led team with a collaborative culture, trusted by top companies in various industries.
Design and evolve scalable data platforms, ensuring reliability and governance.
Define data architecture standards, models, and integration patterns for business needs.
Collaborate with stakeholders to translate requirements into cloud-based data solutions.
Nortal shapes digital transformation with complex solutions for global enterprises and the public sector. With over 25 years of experience and 160+ new hires yearly, the company fosters a culture of autonomy, open communication, and diversity.
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.
Define and own the strategic architecture of Foodsmart's data platform, setting technical direction for scalable and governed data infrastructure.
Lead design and implementation of next-generation data pipelines, data models, and platform capabilities for advanced analytics and machine learning.
Establish company-wide standards for data quality, governance, security, and compliance, acting as a cross-functional technical leader.
Foodsmart is the leading Foodcare platform in the U.S., delivering nutrition-driven healthcare at scale through a national network of Registered Dietitians. The company serves over 3 million members, secured a $200 million investment in 2024, and values a customer-first, collaborative culture.
Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data integration and analytics.
Optimize data platforms like Databricks Unity Catalog and SQL Server Managed Instances, implementing Lakehouse architecture.
Apply data quality controls, governance standards, and collaborate with cross-functional teams to deliver high-quality data solutions.
Ardent supports the federal government in national security and defense priorities, helping protect the nation and advance critical technologies. The company offers competitive pay, comprehensive health coverage, and a culture that values dedication and adaptability, employing purpose-driven innovators and veterans.
Drive platform strategy and architecture for the Enterprise Data Platform using Snowflake, dbt, and Matillion.
Embed AI into data analytics by designing pipelines and RAG systems to transition teams into AI-ready units.
Enable self-service and mesh architecture while implementing robust governance and observability frameworks.
Zscaler accelerates digital transformation by providing cloud-native security solutions that protect customers from cyberattacks and data loss. The company fosters a culture of execution centered on customer obsession, collaboration, and accountability, with a focus on high-impact work.
Design, build, and maintain scalable data pipelines and platform components for analytics, BI, data science, and AI.
Lead evolution of a Databricks-based Lakehouse platform, defining architecture, governance models, and engineering standards.
Provide senior technical leadership through architecture design, code quality standards, mentoring, and engineering decision-making.
Jobgether uses AI-powered matching to connect candidates with hiring companies. This role is for a partner company building a modern data and AI platform, fostering a collaborative and engineering-driven culture with emphasis on innovation and learning.