Own identity data, designing models and matching logic for accuracy and auditability.
Build data pipelines and maintain partner identifier mappings for data products.
Set technical direction, lead design reviews, and drive AI-first development with guardrails.
Consumer Edge is a leading data and insights-as-a-service company specializing in global consumer, B2B, and healthcare economies. They have a dynamic, high-performance team culture working at the forefront of data-driven decision-making.
Build data pipelines that pull information from ERP, CRM, and accounting systems, covering ingestion, processing, and storage.
Put data quality and lineage controls in place so any number can be traced back to its source.
Build and manage training and evaluation datasets that power and measure AI models.
Lunon is an AI-native consulting firm in New York City backed by General Catalyst, embedding engineers inside client businesses to ship AI solutions that run without them. The team is young and fast-moving, with everyone owning what they ship end to end.
Build audience pipelines and onboard partner data with repeatable patterns.
Deliver data to external partners through APIs, files, and data shares with tracking.
Set technical direction, lead design reviews, and mentor data engineers.
Consumer Edge is a leading data and insights-as-a-service company specializing in consumer, B2B, and healthcare economies. It is a dynamic team that delivers real-time, transaction-based intelligence with deep industry expertise.
Own the data platform that powers reporting and AI features for 5,000+ gyms, from ingestion to governance and access.
Ensure fast, trustworthy data for internal teams and AI agents, with clear ownership, cost visibility, and privacy by design.
Partner with Engineering and Data to build clean, well-structured pipelines and enable self-serve answers across the company.
PushPress is an AI-powered gym management platform for boutique fitness, transforming how gyms operate and grow in a $100B industry. Trusted by 5,000+ gyms and 500,000 members, it's a Series B company with a global team of builders and fitness fanatics.
Lead high-impact AI/ML and data engineering projects across ASG's portfolio companies.
Build hands-on LLM-powered tools, data pipelines, and ML systems.
Partner with portfolio companies to commercialize data and drive AI adoption.
ASG is an unconventional group of market-leading SaaS software companies serving industries from behavioral health to childcare. It has acquired over 50 businesses since 2016 and is backed by Alpine Investors, operating with a PeopleFirst culture.
Scope and prove Sayari fits customer workflows before delivery.
Implement risk screening, graph analytics, and data integrations with Python and SQL.
Keep deployments healthy and build delivery playbooks.
Sayari provides judgment infrastructure for trustworthy AI in economic security and commercial risk, resolving billions of primary-source records. Trusted by government agencies and Fortune 500 enterprises, it has offices in Washington D.C., London, Singapore, Tokyo, and Tel Aviv.
Design and maintain scalable data pipelines for AI workloads and intelligent products.
Develop automated workflows for synthetic data generation and large-scale data preparation.
Collaborate with product and engineering teams to optimize data storage, retrieval, and validation.
The company partners with Jobgether to hire for AI-focused data engineering roles. It operates in a remote, project-based environment with a focus on building scalable infrastructure for next-generation AI applications.
Set multi-quarter technical direction for the data platform and drive alignment on large ambiguous cross-functional projects.
Architect and build scalable, robust data platforms serving analytic and operational needs across the organization.
Champion AI-assisted development practices and improve systems' performance, observability, and reliability.
GameChanger builds the first and best place to experience youth sports moments, helping families elevate the next generation through sports. We are a remote-first, dynamic tech company based in New York City, solving big challenges in youth sports.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, and semantic layers.
Engineer modern data pipelines and models, writing production-ready code in SQL, Python, and Spark with Git and CI/CD best practices.
Aimpoint Digital is a fully remote AI and Data consultancy that partners with clients to design end-to-end analytical solutions and AI-ready data architectures. The company is a dynamic, growing team that blends modern tools with proven principles to deliver optimal data engineering outcomes.
Build and maintain scalable ETL/ELT data pipelines for Microsoft SQL Server and PostgreSQL.
Support AI data preparation workflows including document ingestion and embeddings for RAG systems.
Orchestrate data jobs using Airflow, Azure Data Factory, and SQL Server Agent.
CodeRoad is a technology execution partner that engineers, modernizes, and scales technology for North American companies since 2002. They offer a collaborative, high-trust environment with long-term opportunities and engineering autonomy.
Architect and maintain robust data ingestion pipelines that feed both application and analytics.
Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data.
Build reliable, automated pipelines with data quality tests, monitoring, and safe reprocessing.
GoFasti is a Talent-as-a-Service company that bridges world-class developers and designers from Latin America with first-class companies globally. They focus on remote work and building high-performing, autonomous teams.
Run technical discovery with enterprise contractors and plan data migrations from CRMs, estimating tools, and spreadsheets into Headquarters.
Configure price books, packages, templates, workflows, and APIs, and ship product code for features that unlock deals.
Handle security reviews, integration questions, and pilot implementations while traveling about 25% of the time.
XBuild builds back-office software for contractors, automating estimates, invoicing, and lead follow-up. With over 1,000 companies and $25B+ annual work volume, it is a fast-growing startup backed by $25M+ from a16z and N47.
Design, build, test, deploy, and maintain scalable cloud-based data pipelines that ingest and transform data from product, operational, and third-party systems.
Own data-pipeline architecture, including orchestration, monitoring, reliability, performance, and data quality.
Develop workflows, transformations, and data models that transform raw data into useful, trusted, and actionable information.
Karat is the world's largest interviewing company, providing a powerful system for technical leaders at companies like PayPal, Atlassian, and Citi to control how they hire top engineers. The company values data-driven insights, inclusivity, and a diverse workforce.
Build at the customer site: write production-quality agents, integrations, and data pipelines on Redpanda ADP inside the customer’s environment and codebase.
Work in unfamiliar territory fast: ramp quickly in new codebases, data environments, and constraints.
Own the technical deliverable from design to handoff, ensuring it is documented, maintainable, and running in production.
Redpanda is the first runtime and control plane for agent-data interaction, combining streaming, SQL analytics, and intelligent connectivity with governance for enterprise AI agents. It is a fast-moving, diverse, people-first organization with team members around the globe, trusted by Fortune 500 companies and startups.
Own Moxie's data infrastructure end to end: pipelines, warehouse, and the modeling layer that every published number depends on.
Partner with Engineering on production schema changes and with Finance to model accounting logic.
Deliver high-impact data projects like accrual accounting models and historical EMR data modeling.
Moxie empowers aesthetic entrepreneurs to build profitable, independent practices. It is a global, remote-first team supporting 700+ practices nationwide, with a culture of ownership, speed, and care.
Design, build, and maintain robust data pipelines that ingest and normalize security data from 120+ sources.
Operate and improve the attribution layer by implementing entity resolution and ownership rules as version-controlled code.
Collaborate with analysts and leadership to provide query support, reporting, and executive metrics that drive security program decisions.
Cisco designs and sells networking, security, and collaboration technologies that power the digital world. With a global team of doers and experts, we foster a collaborative culture that values empathy, innovation, and large-scale impact.
Own the most complex escalations end to end, from data mapping defects to forecast anomalies and integration failures.
Build tooling and agentic AI workflows to deflect support volume, quantify impact, and drive root-cause fixes.
Mentor Tier 1 and Tier 2 engineers, write playbooks, and represent Support in cross-functional forums.
Afresh builds AI for grocers to reduce waste and increase sales. After 70% revenue growth in 2025, it scaled to 6 enterprise solutions in 10% of the U.S. market with a culture of proactivity, kindness, candor, and humility.
Architect and build scalable data infrastructure powering real-time insights, predictive systems, and generative AI applications.
Transform static data lakes into active, low-latency backends for real-time, agentic AI applications.
Provide technical leadership, establish engineering best practices, and collaborate cross-functionally in a Tech/Creative environment.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. Their team of 600+ skilled tech professionals in Latin America drives digital disruption by partnering with US companies on impactful projects.
Discover new sources of audio data and build reliable pipelines to bring them into training datasets.
Build and improve large-scale data-processing systems, optimizing for data quality, throughput, and cost.
Collaborate with AI Scientists, owning projects from problem discovery through implementation.
Speechify builds text-to-speech products that turn reading materials into audio, used by over 50 million people. Speechify is a fully distributed team of nearly 200 people with no office, and values innovation, autonomy, and exceptional asynchronous work.