Scrape various APIs on an industrial scale, handling terabytes of data daily.
Build backend services using Python, focusing on high-load, data-intensive systems and optimizing data pipelines.
Write and review code for quality, security, and best practices, implementing automated testing and CI/CD processes.
SplitMetrics is a global software company that provides a growth engine for top mobile-first businesses through an ecosystem of products and services, including platforms for Apple Ads and A/B testing. With over 11 years in the mobile marketing industry and a team across 20+ countries, they have a remote-first culture and have integrated AI since 2023.
Design, build, and own critical product features for high-scale backend systems serving millions of users.
Take full ownership from problem discovery through production rollout and long-term maintenance.
Collaborate closely with Product and engineering teams in a remote-first, autonomous environment.
A venture-backed technology company that builds scalable backend systems used by thousands of developers and hundreds of millions of end users. It is a remote-first, fast-growing company with a collaborative culture focused on engineering excellence.
Architect and implement production-grade integrations and distributed data systems for enterprise customers using Python, SQL, and modern API development.
Transform legacy ETL/ELT workflows into modern, autonomous data pipelines across AWS, Azure, or GCP and Kubernetes.
Integrate AI APIs like OpenAI and Anthropic, and deliver solutions from kickoff to production within an 8-12 week Accelerator window.
Matillion is the company behind Maia, an AI Data Automation platform used by Cisco, DocuSign, and Slack. They started in Manchester and now have global teams across the UK, US, and India, with a driven, curious, and energetic culture.
Design and maintain data pipelines that ingest and serve data across Techstars systems.
Own Kubernetes-based infrastructure, deployment tooling, and cluster health.
Maintain PostgreSQL database layer and support Salesforce data flows.
Techstars is a global investment firm that backs ambitious founders with capital, mentorship, and the connections they need to grow. The company has operated since 2006 and offers a collaborative, inclusive environment.
Build and maintain integrations against third-party billing APIs to expand vendor spend coverage.
Own data correctness, normalization, and end-to-end pipeline orchestration.
Work AI-augmented across the workflow, from prototyping to debugging and documentation.
DoiT is a global technology company that helps cloud-driven organizations leverage the cloud for growth and innovation. They are home to a global team of remote talent, with a culture that embraces entrepreneurship, learning, and fun.
Design and build new features for the Django backend that powers the consumer dashboard and B2B platform.
Improve performance and reliability of Celery and RabbitMQ pipelines and integrate third-party services like Stripe and WorkOS SSO.
Own features end-to-end, including production debugging and code review with a small backend team.
Optery helps people get their personal data off broker sites. It's a fully remote, small startup headquartered in the San Francisco Bay Area, where engineers work directly with the founders.
Build and modify high-complexity ETL and data pipelines for large-scale datasets.
Develop monitoring and alerting systems to proactively identify data and infrastructure issues.
Lead end-to-end data engineering initiatives across cross-functional teams, including planning and system design.
ItD is a new generation consulting and software development company that blends diversity, innovation, and integrity. It is a woman- and minority-led firm with a global community, offering opportunities with Fortune 500 companies and high-performance teams.
Architect and implement scalable, secure, and reliable data pipelines using modern platforms like Spark, Databricks, and Airflow.
Develop ETL/ELT processes to ingest data from various structured and unstructured sources, and perform exploratory data analysis.
Collaborate with cross-functional teams to design data models, write clean Python code, and deliver end-to-end features.
Netomi is a leading agentic AI platform for enterprise customer experience, working with global brands like Delta and MetLife. Backed by WndrCo, Y Combinator, and Index Ventures, the company is a well-funded startup with a collaborative culture.
Build and operate Python/Django services for repairs, payments, messaging, notifications, and fraud prevention.
Work in cross-functional product teams using AI-assisted, spec-driven development from design through delivery.
Ensure reliability and data integrity through automated testing, observability, security, and incident response.
Plentific is a property technology platform for housing providers, local authorities, and contractors in the UK and Germany. We are a growing London-headquartered team working across Europe to expand the platform and integrate AI.
Develop pipelines and ETL tasks with product managers, data analysts, and machine learning engineers to extract insights.
Translate product requirements into actionable project plans that you and your peers execute.
Establish data architecture processes that are scheduled, automated, replicated, and serve as standards for other teams.
Doximity is the leading clinical AI company with the largest network of U.S. clinicians, trusted by over 85% of physicians and 300+ health systems. The company values curiosity, ownership, inclusion, and meaningful impact, with a distributed team culture and over 500 private GitHub repositories.
Design and build scalable backend systems, APIs, and data models that power communications, experimentation, and personalization.
Partner with Product, Data Science, and Experience teams to define and execute strategies for customer acquisition and engagement.
Mentor and support junior engineers, contributing to a culture of learning, collaboration, and technical excellence.
Affirm is a financial technology company that provides point-of-sale installment loans to consumers, allowing them to pay over time with no hidden fees. The company is remote-first and values transparency, care, and flexibility, with a strong emphasis on employee well-being and professional growth.
Design, build, and improve systems to reliably and efficiently process data at the scale of tens of terabytes per day.
Evaluate new technologies and set best-practice standards with Data Engineering and Data Platform Engineering.
Drive cross-functional projects with stakeholders across Mozilla and mentor teammates to develop engineering best practices.
Mozilla Corporation is a non-profit-backed technology company that makes pioneering brands like Firefox, the privacy-minded web browser, and works on diverse areas including AI, social media, security. The company is wholly owned by the non-profit Mozilla Foundation, with over 225 million monthly users, and focuses on making the internet better for people.
Build core data platform capabilities, developing services and APIs for data access, query execution, ingestion, and synchronization.
Make integrations reusable by building connector frameworks that support different systems without bespoke implementations.
Own execution reliability by building orchestration, retries, checkpointing, and observability for predictable workload recovery.
Tessera Labs is redefining how enterprises adopt and operationalize AI by building multi-agent systems that automate complex business workflows across platforms like SAP and Salesforce. Backed by top venture capital firms and built by leaders from Meta AI and Google Research, they move fast and operate with extreme ownership.
Build and maintain data pipelines using SQL, Python, and other technologies.
Triage and resolve complex bugs, incidents, and data issues.
Mentor junior data engineers and participate in sprint planning and refinement.
Personify Health created the first and only personalized health platform, bringing together health plan administration, holistic wellbeing solutions, and comprehensive care navigation. They serve employers, health plans, and health systems with data-driven solutions, and their mission-driven culture empowers diverse perspectives to impact people's health.
Build and maintain data pipelines and infrastructure for digital analytics environments, ensuring robust ingestion, transformation, and availability of data.
Work closely with Martech experts to integrate data from sources like Google Analytics and Customer Data Platforms.
Manage platform data and technology, ensuring integrity, consistency, and alignment with business needs.
CI&T helps large enterprises harness AI for real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across over 25 countries, the company fosters a collaborative and innovation-driven culture focused on digital transformation.
Develop and maintain data pipelines, transformation logic, and data quality processes within Microsoft Fabric.
Implement Bronze, Silver, and Gold medallion architecture layers for assigned data domains.
Support Ed-Fi REST API integrations and Aspen-to-Ed-Fi mappings for education data workstreams.
Rackner is a software consultancy that builds mission-critical systems for the U.S. government, focusing on cloud, DevSecOps, AI/ML, and modern software engineering. The company supports federal agencies and national security missions, with a culture of collaboration, growth, and technical excellence.
Design, build, and maintain robust ETL/ELT processes for modern Data Lake architectures.
Write and optimize complex SQL queries using Python and PySpark for large-scale distributed data processing.
Collaborate with cross-functional teams to ensure data governance, quality, and observability across cloud-native platforms.
CI&T helps large enterprises transform the potential of AI into real business impact. With 30 years of experience, we are 8,000 CI&Ters across more than 25 countries.
Own and continuously improve the systems for collecting job opportunities from thousands of companies.
Design scalable data architectures and operate reliable ETL/ELT pipelines.
Collaborate with product and AI/ML teams to enhance matching quality and data foundations.
Jobgether is building a job search platform for experienced professionals in the global remote job market. They aggregate and enrich job data from around the world. We are a fully remote, international team focused on accountability and outcomes.
Design, implement, and maintain end-to-end data pipelines (ELT/ETL) with focus on reliability, reprocessing, and cost-efficiency.
Orchestrate data loads using Airflow (AWS) and serverless functions, model data in Snowflake (bronze/silver/gold) and develop transformations with dbt.
Build integrations and services in Python with FastAPI, write high-performance SQL, and ensure data quality, observability, security, and documentation.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across over 25 countries, they collaborate to build solutions with real impact.