Design, build and maintain reliable data pipelines in Python on AWS.
Build and maintain backend services and APIs using Django and FastAPI.
Take end-to-end ownership of assigned work, including design, testing, code reviews, releases and production support.
Smart Working connects skilled professionals with global teams for full-time remote roles, aiming to break down geographic barriers. It fosters a remote-first community focused on growth and well-being, and is rated highly on Glassdoor.
Develop high-performance, scalable web and task servers using Python and frameworks such as Django, Flask, or FastAPI.
Integrate AI and machine learning capabilities, including LLMs and numerical analysis, into web and task-processing services.
Design REST APIs, work with microservices and cloud platforms, and mentor junior engineers while owning technical architecture.
The hiring company specializes in building scalable, high-performance backend systems and integrating AI technologies into production. While team size is not disclosed, the culture emphasizes collaboration, mentorship, and continuous professional growth.
Lead the design and implementation of scalable data architectures for member communications, defining data models, contracts, and lineage.
Build and optimize production-grade data pipelines using Databricks, Apache Spark, PySpark, and SQL, ensuring reliability and performance.
Establish data-quality and governance practices, and partner with Privacy, Compliance, and Risk teams to manage sensitive member data securely.
Oportun is a mission-driven financial services company that provides responsible credit and savings to help members build a better financial future. Since inception, it has provided over $22.7 billion in credit and saved members more than $2.5 billion in interest and fees, reflecting a culture focused on impact and innovation.
Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric and Databricks.
Build reliable ETL/ELT processes for structured and unstructured data and ensure production-ready integration solutions.
Collaborate with business stakeholders to translate data requirements into technical solutions and take end-to-end ownership.
This company is a technology organization seeking a Senior Data Engineer to build scalable data pipelines on Azure and Databricks. It offers a fully remote, collaborative environment with global stakeholders and a focus on engineering ownership.
Collaborate with Data Science teams to deploy and maintain machine learning models in production environments.
Build robust data processing pipelines and implement MLOps and LLMOps best practices for scalable AI solutions.
Work with cloud technologies, big data platforms, and machine learning frameworks to deliver innovative technical solutions.
The company specializes in data and technology services, helping transform machine learning solutions into production-ready systems. It is an established international organization with a collaborative, inclusive culture and a strong emphasis on continuous learning and career growth.
Build and ship core components of the Pricing API that price real energy contracts.
Make prices fast and reliable with error handling, observability, and alerting.
Sharpen pricing logic boundaries and give the commercial team self-serve answers.
We're rebuilding energy transaction infrastructure to make electricity markets transparent and fair with AI-native technology. Backed by a $75M Series B and thousands of customers, we're scaling globally with a remote-first, flexible culture.
Design and build scalable data pipelines on AWS using Python, PySpark, and Glue.
Develop AI agents and REST APIs using Amazon Bedrock and modern pro-code practices.
Work across the full engineering lifecycle from architecture to productionization.
This is a partner company hiring for a remote contract role through Jobgether. They focus on building production-grade AI, data engineering, and cloud solutions in a fast-moving environment.
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.
Design, develop, and maintain scalable web applications using Python and ReactJS.
Build and optimize APIs, databases, and AWS infrastructure for enterprise workloads.
Lead feature delivery end-to-end and mentor engineers in a remote, product-led environment.
The company builds innovative SaaS products that power digital ordering experiences for leading restaurant brands worldwide. It operates as a globally distributed, product-led engineering organization that values technical leadership, continuous improvement, and innovation.
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.
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.
Design, develop, and deploy high-quality software components using Java, JavaScript, and related technologies.
Collaborate with stakeholders to build reliable, scalable, and maintainable backend and full-stack solutions.
Support continuous delivery through testing, code reviews, CI/CD, and system monitoring.
This partner company focuses on delivering reliable, scalable, and maintainable software solutions across various industries. It fosters a collaborative and innovative engineering culture, emphasizing shared ownership, continuous delivery, and professional growth.
Design and write code in a multi-tenant SaaS environment using Python, Django, and PostgreSQL.
Collaborate with teammates across a geographically distributed remote team and lead technical design initiatives.
Own code quality through PR-based delivery, testing, and shared responsibility for team processes and growth.
Xplor provides software, payments, and commerce-enabling solutions for businesses with recurring daily activities across education, fitness, wellness, field services, and personal services. At Xplor Mariana Tek, we simplify fitness studio management and foster a culture guided by values like Make Life Simple and Build for People, with a collaborative remote team.
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.
Own and deliver quarterly goals, leading engineers through ambiguity and ensuring support.
Collaborate with product, design, and analytics to make decisions considering risks and trade-offs.
Support operations and availability of team artifacts while fostering quality and ownership.
Affirm provides clear, predictable buy now, pay later services with no hidden fees. It is a growing, remote-first company that values transparency, flexibility, and customer trust.
Build scalable, high-load systems in Python and work with big data processing 200–400M+ records per day.
Design and develop integrations with external channels behind a unified data model and API.
Ensure data quality and consistency across channels through validation, reconciliation, and monitoring.
SplitMetrics is a global software company providing a growth engine for mobile-first businesses through its ecosystem of products and services, including Apple Ads optimization and A/B testing. With over 11 years of experience and a remote-first culture, the company collaborates across 20+ countries and values transparency, speed, and continuous learning.
Design, build, and maintain production-grade, event-based data pipelines capable of processing thousands of events per second in near real-time.
Implement scalable data modeling designs and orchestration logic to transform raw event streams into optimized data models for downstream business consumption.
Extend core data platform toolsets and manage the release, monitoring, and maintenance of production data pipelines.
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, the company provides a modern, high-tech, and fun work environment.
You will design, develop, and maintain backend services powering Twilio Flex's high-scale TaskRouter system.
You will set technical direction for distributed systems, owning architecture for cross-team problems spanning multiple quarters.
You will raise the engineering bar through design review, code review, and mentorship of senior and mid-level engineers.
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide. As a remote-first company with a strong culture of connection and global inclusion, we have a diverse team making a global impact each day.
Lead the design, implementation, deployment, and operation of complex platform capabilities supporting the machine-learning lifecycle.
Build reusable platform components, standards, and automation while improving reliability, scalability, and observability across ML systems.
Partner with Data Science, Product, Risk, Fraud, and Engineering teams to translate ambiguous business needs into practical technical solutions.
Oportun is a mission-driven financial services company that helps members build a better financial future through intelligent borrowing, savings, and budgeting. The company has provided over $22.7 billion in responsible credit and its culture emphasizes speed, high standards, and the thoughtful use of AI.
Lead implementation of connectors to fetch ERP data ensuring high availability and accessibility.
Develop and upgrade backend APIs to meet evolving customer requirements and drive market responsiveness.
Maintain and improve data storage systems, bridging business needs with technical solutions as a key liaison.
YipitData is a market research and analytics firm that analyzes billions of alternative data points for sectors like software, AI, cloud, and e-commerce. The company has raised $475M, valued over $1B, and has been recognized as a Best Workplace for three consecutive years.