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.
Design, develop, and maintain scalable data pipelines that transform complex customer data into actionable business value.
Work across the full data lifecycle, from ingestion and transformation to activation and analytics.
Use modern cloud technologies and AI-assisted development workflows to create reliable, high-performing data solutions.
Jobgether uses an AI-powered matching process to help candidates find roles and connects top-fitting applicants directly with hiring companies. The company fosters a remote, collaborative environment with a focus on efficient recruitment.
Design and own architectural evolution of data pipelines and platform components using AWS and Snowflake.
Build and maintain robust ingestion pipelines with AWS DMS, AppFlow, and EventBridge.
Optimize analytics datasets in dbt Cloud with dimensional modeling and SCD Type 2 logic.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. It is a nearshore technology services company that empowers businesses to thrive in the digital landscape.
Develop and implement Snowflake-based governance solutions for data quality, security, and compliance.
Build automated privacy processes and support data cleanup initiatives to maintain integrity.
Collaborate with cross-functional teams to design scalable data architecture and pipeline solutions.
Blend is a premier AI services provider, co-creating meaningful impact through data science, AI, and technology. We harness world-class people and data-driven strategy to unlock value for clients, with a focus on innovation and fulfilling work.
Design and build scalable data pipelines using Python and SQL to ingest, transform, and curate data from internal and external sources.
Implement schema validation, data quality checks, and job monitoring to ensure trustworthy data outputs.
Collaborate with analytics engineers, architects, and product partners to define technical requirements and deliver data products.
Cohere Health provides a clinical intelligence platform that uses AI to connect health plans and providers, improving care quality and reducing costs. We are a growing company recognized as a top LinkedIn startup and backed by leading investors, fostering a supportive, growth-oriented culture.
Design, build, and maintain scalable batch and streaming data pipelines.
Develop reliable ETL/ELT workflows using Python, Spark, and modern orchestration tools.
Improve data quality, validation, monitoring, and observability across the platform.
The company is a Berlin-based, remote-first technology company building advanced market intelligence and software solutions for the automotive industry. It operates in a stable growth phase with an established product and a strong technical team.
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.
Design and develop data pipelines, marts, and schemas to support warehousing and analytics.
Build and optimize ETL/ELT processes using AWS Glue, Airflow, and Python.
Troubleshoot and resolve production data issues while mentoring other data engineers.
Versant is an industry-changing media and entertainment business, home to brands like CNBC, USA Network, and Fandango. It employs over 50 million users across its platforms and fosters a culture of innovation and collaboration.
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.
Design and build scalable data pipelines, clean room environments, and privacy-safe integrations for NBCUniversal’s data collaboration ecosystem.
Implement identity resolution logic and configure secure, role-based access controls across data platforms.
Optimize query performance and operational reliability, including monitoring, cost tracking, and incident response.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, and streaming. A subsidiary of Comcast Corporation, it champions an inclusive culture and has a rich tradition of community service.
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.
Leverage AI-assisted data quality practices including GenAI-based rule generation, intelligent anomaly detection, and automated triage of data quality issues.
Develop and automate data quality checks using SQL and Python in Snowflake, implementing validation and reconciliation across batch and streaming pipelines.
Build reusable data quality automation components and mentor team members on best practices and AI-driven frameworks.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. It is led by top industry talent and physician leadership, consisting of scalable operations and end-to-end cloud-based technology.
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.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Work with senior business stakeholders to break down problems and design analytics solutions.
Provide technical leadership for best practices in data modeling, ETL, and data quality.
Design and build data pipelines to enable decision-making through analytics.
Nortal is a digital transformation company that delivers complex solutions for global enterprises and public sector organizations. With over 25 years of experience and 160 new hires annually, we foster a close-knit remote culture emphasizing autonomy, open communication, and respect for diversity.
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.
Architect and implement scalable ETL and data pipelines for real-time risk management and advanced analytics.
Design, develop, and optimize distributed data storage solutions for high performance and reliability at scale.
Drive schema evolution, data modeling, and pipeline orchestration with ownership of end-to-end data flow.
Oscilar builds the most advanced AI Risk Decisioning™ Platform for banks, fintechs, and digitally native organizations to manage fraud, credit, and compliance risk. The company is mission-driven with a remote-first culture and team members from Meta, Uber, Citi, and Confluent.
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, maintain, and optimise scalable data pipelines using Dagster, Python, and Snowflake.
Write clean, efficient, well-documented code and ensuring quality and scalability of the codebase.
Ensure high standards of data quality are maintained through extensive unit testing, integration testing and data monitoring.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. With over 400,000 players, we are a high-performance team operating at pace with high ownership and constant iteration.
Own data end to end, from raw source to analysis that drives decisions for growth, finance, and product.
Build and operate pipelines in BigQuery with Airflow, model in dbt, and deliver analysis in Hex.
Work AI-first, using modern tooling to move faster while staying accountable for production output.
Supabase provides a complete backend platform including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search, built by developers for developers. With 280+ team members across 55+ countries and $500M raised, they are open-source-first and globally distributed.