Architect and implement scalable Data Lakehouse solutions on Google Cloud Platform using BigQuery, GCS, BigLake, and Dataplex.
Collaborate with customers to translate business goals into robust architectural blueprints and actionable data solutions.
Design and manage data pipelines for real-time and batch ingestion, enforcing best practices for data governance, security, and quality.
Egen is a fast-growing data consulting firm specializing in Google Cloud and Salesforce platforms. The company fosters a culture of learning and innovation, bringing together top engineering talent to solve complex data challenges.
Own Seer's data platform end-to-end and set technical direction for architecture and standards.
Build AI agents and workflows that automate repetitive data and BI tasks.
Mentor engineers and analysts while documenting playbooks and decision records.
Seer Interactive is a digital marketing consultancy that harnesses compassion, data, technology, and AI to make a mark for clients. It is a remote-first, Certified B-Corp agency with team members across the country.
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.
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 and operate backend services that move data through GrowthLoop, from warehouse queries to downstream systems.
Improve event handling, query execution, and delivery, and support the product’s move toward real-time capabilities.
Participate in on-call rotation, fix reliability issues, and build shared tools that reduce repeated work.
GrowthLoop built the first composable CDP, helping marketers leverage live, first-party data from their cloud warehouse to launch highly targeted campaigns. It is a founder-led, remote-first startup with a flat, high-agency culture, partnering with brands like Google, Costco, and Ford.
Drive cost optimization across AWS and GCP by analyzing billing, usage, and cost trends to identify and ship savings.
Build and maintain FinOps data pipelines using BigQuery and dbt to turn raw billing and usage data into reconciled, trustworthy models.
Apply data science to cost and usage data, build forecasting models, detect anomalies, and automate cost governance with Python and Terraform.
Supabase is an open-source Firebase alternative providing developers with tools to build applications. The company is born-remote with ~400 team members across 60+ countries and has raised over $1B.
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.
Design and implement lakehouse architecture using open-source technologies.
Build and optimize ClickHouse deployments and develop ETL/ELT pipelines.
Partner with product and engineering to define data models and establish data quality frameworks.
SERHANT. is the most followed real estate brand in the world, delivering proven results for buyers, sellers, and developers. It revolutionizes the traditional brokerage model through media and content creation, powered by a full-service in-house film studio.
Lead architecture and technical decision-making across the data lifecycle, from ingestion to consumption by products and AI.
Drive modern engineering approaches through proofs of concept, technology evaluation, and reimagining solutions for scale.
Mentor engineers and build a culture of strong software engineering practices, experimentation, and shared technical ownership.
Applied Systems provides software, data, and intelligent systems that connect agencies and carriers across the insurance lifecycle. With 40+ years in insurtech, the company builds on a culture of learning, experimentation, and shared ownership.
Design and build backend services and data pipelines for cloud cost visibility and capacity planning.
Develop cost attribution models and demand forecasting tools for infrastructure optimization.
Collaborate with cross-functional teams to replace manual reporting with automated software solutions.
Our partner is a technology company focused on cloud infrastructure and cost optimization. They prioritize a remote-first culture and value collaboration, transparency, and engineering excellence.
Design and build a multi-source 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.
Build queue-based event systems, orchestrate workflows, and optimize PostgreSQL schemas and loading patterns.
They are building a data platform that converts multi-source information into trusted company intelligence. It is an early-stage team where engineers own their platform end-to-end.
Own and modularize the infrastructure behind Seer's data platform using Terraform or OpenTofu.
Build and maintain GCP services including BigQuery, Cloud Run, and Cloud Functions, automating data flows.
Design CI/CD pipelines, alerting, and monitoring to ensure reliable, well-governed systems.
Seer Interactive is a digital marketing consultancy that uses data, technology, and AI to drive client outcomes. It is a remote-first Certified B-Corp with team members across the US.
Own the data platform and governance roadmap across product, marketing, operations, and finance.
Lead the migration to Lightdash and establish consistent semantic layers and event-tracking standards.
Build automated data quality monitoring, lineage, and security practices to enable reliable, AI-ready analytics.
The company is a multi-brand organization focused on building reliable data platforms for analytics and AI. It fosters a remote-first, asynchronous culture that values automation, governance, and ownership.
Design, build, and maintain data pipelines and analytics solutions in Databricks.
Write and optimize SQL and Python code for data processing and analysis.
Apply DevOps practices and CI/CD methods to data workflows.
GoFasti is a Talent-as-a-Service platform connecting world-class developers and designers from Latin America with global companies. The company values proactive, communicative professionals and focuses on bridging talent with first-class clients.
Translate business and stakeholder needs into scalable data engineering and data science solutions.
Partner with cross-functional teams to understand requirements, prioritize opportunities, and deliver data-driven outcomes.
Build and maintain ETL pipelines, data integrations, and technical documentation for data assets.
Stryker is a leading medical technology company driven to make healthcare better, offering innovative products in orthopaedics, medical and surgical, and neurotechnology. Named one of the World's Best Workplaces, it is a large global organization focused on improving patient and hospital outcomes.
Lead the Database Platform team responsible for the data infrastructure that underpins every NodeZero pentest, finding, and report.
Own data architecture, reliability, and scalability of PostgreSQL and Neo4j stores, with time-series and analytical stores on the roadmap.
Build and mentor a team of ~8 engineers, acting as product owner to translate data platform needs into a prioritized engineering roadmap.
Horizon3 is a remote cybersecurity company that enables organizations to proactively find, fix, and verify exploitable attack vectors through its NodeZero autonomous pentesting platform. The company is a fast-growing team of former special operations cyber operators and engineers, committed to a culture of respect, collaboration, ownership, and results.
Turn internal apps prototyped in Lovable into secure, production-grade services on Google Cloud Run.
Build backends, middle layers, and data feeds connecting business systems to canonical data and planning tools.
Own security, automate reporting, and document work for maintainability while explaining trade-offs to stakeholders.
Software Mind develops impactful software solutions for companies around the globe. Their culture embraces openness, respect, grit, and combines delivering results with enjoyment.
Lead the design of scalable enterprise data platforms, translating client business requirements into technical strategies.
Combine architectural leadership, client advisory, and hands-on expertise covering cloud platforms, data pipelines, and AI/ML.
Guide engineering teams through implementation, mentoring engineers and facilitating discovery workshops.
Truelogic is a nearshore staff augmentation services provider headquartered in New York, delivering top-tier technology solutions to companies of all sizes. With a team of over 600 tech professionals in Latin America, they drive digital disruption by partnering with U.S. companies.
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.