Design and build a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.
Ingest data from provider APIs, webhooks, files, and web scraping with rate limiting and robust failure handling.
Develop idempotent upserts, data contracts, automated quality checks, pipeline tests, and monitoring.
They are a data infrastructure and analytics team building a platform that turns information from many sources into reliable, current company intelligence. They operate like a startup with a small team, emphasizing broad ownership and adaptability.
Own the data platform from architecture through production, handling high-volume ingestion from APIs, webhooks, files, and scraping.
Implement concurrent processing, event-driven intake, and orchestrated batch workflows using tools like Airflow, dbt, and GCP.
Ensure data correctness through idempotent upserts, safe retries, and automated quality checks.
Fundable is a startup data platform that helps investors and teams discover and research companies. It is a small engineering team with broad ownership and a focus on building reliable data infrastructure.
Design and scale high-performance data pipelines into Snowflake for a large e-commerce platform.
Automate data engineering workflows using agentic systems and AI-native tooling.
Collaborate with analytics, data science, and product teams to deliver end-to-end data solutions.
This partner company operates a large-scale e-commerce and digital platform serving millions of users. It fosters a remote-first culture across the U.S. and Canada, emphasizing innovation, ownership, and practical use of AI.
Own technical design of the data platform powering Palmetto's products, partners, and AI agents.
Build governed, trustworthy data products from bronze to gold for analysts, engineers, and AI tools.
Operate secure, authorized access paths and pipelines with CI/CD, observability, and SLAs.
Palmetto is a consumer energy platform providing homeowners a single destination for solar, battery storage, HVAC, and more. They serve hundreds of thousands of homeowners across 30+ states and value talent development, collaboration, and purpose-driven work.
Design, build, and maintain scalable data pipelines and platform infrastructure on Snowflake, owning the platform end to end.
Champion data quality, governance, and consistency, ensuring high-trust data for all downstream consumers.
Build with AI-native tooling, setting up development environments and establishing team practices for the AI era.
RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform, connecting the pharmacy ecosystem.
Build, maintain, and optimize scalable data pipelines using SQL, Python, and Spark to support direct mail and digital marketing clients.
Own daily monitoring and maintenance of Databricks workflows, AWS jobs, and related data tools, resolving pipeline failures and schema changes.
Collaborate with analytics, campaign, and account teams to ensure data accuracy, security, and seamless campaign delivery.
Our partner is a growing, data-driven company that builds and maintains data infrastructure for client marketing campaigns. They offer a collaborative environment within a performance-driven team working with modern technologies like SQL, Python, Spark, Databricks, and AWS.
Build and operate data pipelines into Google BigQuery using incremental loading and change data capture.
Develop bronze, silver, and gold datasets for enterprise reporting and analytics.
Partner with BI, data science, engineering, and business teams to deliver high-quality data.
Vultr provides high-performance cloud infrastructure including compute, GPU, bare metal, and storage solutions across 33 global data centers. It has grown into a leading privately-held cloud infrastructure company, serving hundreds of thousands of customers in 185 countries, with a $3.5 billion valuation.
Build and scale data pipelines from raw ingestion through staging and curated layers for analytics.
Develop Azure Data Factory pipelines and resilient API extraction logic handling pagination, rate limits, and schema drift.
Set technical standards for pipeline design, code quality, and testing while mentoring data engineers.
Vuori designs athletic apparel that blends performance with a casual coastal California aesthetic, inspiring an active lifestyle. The company fosters a high-energy, fast-paced environment and promotes personal growth, opportunity, and fun.
Architect the data platform and orchestration layer for large-scale geospatial and temporal data.
Design production data pipelines and drive the shift to service-oriented architecture.
Establish observability, testing, and data quality frameworks while mentoring engineers.
Overstory applies AI-powered vegetation analysis to satellite imagery to reduce wildfire risk and improve grid resilience. The company is mission-driven and remote-first, with a flexible, collaborative culture focused on solving the climate crisis.
Own and operate the data platform end to end, including scrapers, pipelines, backend services, and infrastructure.
Build monitoring, alerting, and data quality checks to keep systems reliable and catch issues before they matter.
Simplify a fast-growing data setup into one documented system while guiding junior engineers and explaining trade-offs to the team.
Melotech creates art through technology for media and entertainment, reaching millions of minutes of engagement worldwide. Backed by top VCs and founded by an entrepreneur-investor, the company offers a remote-first culture with global offsites and equity ownership.
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.
Lead hiring and development of engineers across multiple levels.
Modernize legacy batch ingestion into event-based and hourly processing.
Partner with Finance, BD, Product, and engineering to ensure revenue data accuracy.
The company builds revenue-critical data ingestion and platform systems that turn partner-reported activity into recognized revenue. It fosters a remote-first culture with an emphasis on engineering excellence, AI-assisted development, and collaboration.
Build, extend, and maintain ELT pipelines from enterprise applications, internal systems, and the GitLab SaaS platform.
Manage data infrastructure including Snowflake, Fivetran, Airflow, and Kubernetes, ensuring reliability and cost-efficiency.
Partner with analytics and data science teams to deliver governed, tested, and documented data ready for AI tools and reporting.
GitLab is the intelligent orchestration platform for DevSecOps, helping organizations increase developer productivity and accelerate digital transformation. With over 50 million registered users and a high-performance, AI-first culture, GitLab is fully remote and values-driven.
Build and own scalable ingestion pipelines for sold-listing data from multiple marketplaces.
Design entity resolution logic to match inconsistent listings to canonical items and develop valuation logic.
Create production data quality monitoring and partner with computer vision lead on item-matching standards.
This is an online marketplace focused on reliable pricing for sold listings. It is an early-stage startup with a small, collaborative team, partnering closely with computer vision.
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.
Design, build, and maintain scalable data pipelines for analytics, ML models, and business reporting.
Collaborate with data scientists and analysts to ensure data is clean, available, and optimized for downstream use.
Implement ETL/ELT workflows, integrate multiple data sources, and monitor pipeline performance and reliability.
Soum is building a re-commerce marketplace for the MENA region, making buying and selling second-hand products seamless and reliable. Since our launch in July 2021, we've become one of the fastest-growing startups in the region and were named a Top 10 LinkedIn Startup in Saudi Arabia for 2024.
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.
Build, maintain, and optimize data pipelines using Snowflake, Google BigQuery, SQL, and Python.
Develop reusable data models and transformation workflows using SQL, dbt, and established engineering practices.
Collaborate with data architects, analytics teams, and stakeholders to deliver trusted, analytics-ready datasets.
Unlock Health is a full-service marketing communication agency, grounded in technology, built for healthcare. The company integrates brand, marketing, technology, and revenue strategy to help healthcare organizations attract and retain patients, grow brand equity, and protect margins.
Design and own scalable data infrastructure for real-time and batch processing, including pipelines handling billions of events daily.
Architect medallion-layer data models in Databricks and build AI-assisted workflows with Claude Code.
Partner with analytics and data science teams to deliver reliable datasets and enable natural-language querying.
Life360 is a family safety and location-sharing platform offering mobile apps, Tile trackers, and Pet GPS with crash detection. It has 102M+ monthly active users and 500+ remote-first employees, with an AI-native, trust-based culture.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion to analytics enablement.
Work closely with Product, Analytics, and Engineering to improve data quality and monitoring.
We are a next-generation sports betting and gaming platform built for a new wave of players. With over 400,000 players, we’re a high-performance team operating at pace with high ownership and constant iteration.