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.
Design and build production software and data systems for a premier banking client.
Work hands-on with cloud-native technologies and modern architecture on enterprise-scale data movement and transformation.
Collaborate in Agile teams applying strong Python, AWS, and relational database skills to real-time and batch processing.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Our exceptional team thrives in a culture of collaboration, creativity, and continuous learning, with a track record of success spanning over 20 years.
Design and implement data solutions using cloud-native technologies like AWS, Databricks, and Snowflake.
Develop and optimize complex SQL queries and manage data migration at enterprise scale.
Collaborate with Agile teams to drive software and data engineering for a premier banking client.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Our team thrives in a culture of collaboration, creativity, and continuous learning, with over 20 years of success.
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 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.
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, deploy, and optimize data and AI/ML systems on AWS end-to-end.
Maintain and evolve production platforms, monitoring for drift and improving reliability.
Partner with AWS Professional Services and client teams to align data and AI architecture with business goals.
We are an applied AI engineering firm building AI co-workers that integrate into enterprise operations and deliver measurable client results. Founded in 2009, we are a smaller, senior team with delivery centers in the US, Canada, Eastern Europe, and Latin America, averaging 15+ years of experience.
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 robust Python data ingestion processes from diverse sources using AWS tools like Athena, Glue, Lambda, and Redshift.
Provision AWS infrastructure with Infrastructure-as-Code and embed observability to ensure high data reliability.
Partner with analysts and business teams to deliver seamless data and champion data quality and testing standards.
Reach is Britain and Ireland's largest commercial news publisher, home to over 120 brands including the Mirror and Daily Star. We reach 70% of the UK's online population and foster an inclusive, growth-oriented culture.
Build and extend scalable data pipelines to move analytics off production PostgreSQL into a modern warehouse.
Develop shared dbt models, metrics, and semantic layers that keep definitions consistent across products.
Safeguard data quality with tests, freshness checks, alerts, and traceable lineage from source to drone imagery.
Gather AI builds a vision-powered platform using autonomous drones to digitize warehouse workflows and improve supply chain performance. We're a fast-moving robotics startup with a collaborative, remote-first culture and a focus on shipping transformative technology.
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 and maintain scalable data pipelines and warehouse models, applying GenAI/LLM techniques to enhance data accessibility.
Leverage GenAI coding tools to improve code quality, testing, and delivery speed, while evaluating new technologies.
Establish standards for SQL development, data modeling, and production support, with on-call rotation for incident response.
Firstup is the world's first intelligent communication platform, improving employee experience at every moment that matters. Serving 40 of the Fortune 100 companies and reaching 17 million employees daily, the company fosters a high-growth, inclusive environment where ideas are rewarded.
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, 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.
Own and scale the end-to-end ingestion to catalog to derived pipeline powering InfraSpec datasets across all core domains.
Lead the migration from legacy scripts to a durable platform, including architecting the greenfield graph layer for RouteFinder.
Enforce data contracts, quality gates, and observability to keep pipeline rework under 20%.
Inflect is building a marketplace that transforms how companies buy and sell digital infrastructure—datacenter, cloud, and network services. As a fast-growing startup, we work quickly and collaboratively; full-time employees receive option grants and share ownership.
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.
Own AWS data architecture and technical roadmap across ingestion, transformation, storage, and serving.
Build reliable batch and near-real-time pipelines with clear SLAs and observability.
Model ERP supply chain data into a reusable warehouse and lead legacy migration.
Clarium is an AI-powered healthcare supply chain platform that helps hospitals reduce overspending and improve efficiency with its Astra OS. Founded in 2020, Clarium has raised $43M and is trusted by leading health systems, with a collaborative, fast-paced culture.
Design and deliver backend features in Python for large-scale enterprise SaaS.
Manage and optimize data pipelines that transform high-volume sensor streams into clean, structured time-series events.
Build integrations and configuration systems for enterprise customers, ensuring correctness under concurrency.
Arch Systems builds ArchFX Cloud, a platform that processes millions of IoT data points daily from factory machines to help manufacturers optimize efficiency, sustainability, and growth. The company champions a remote-first, asynchronous culture with significant ownership and autonomy.
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 and oversee complex data engineering projects, bridging technical gaps and navigating ambiguous conditions.
Collaborate across teams to align data engineering efforts and translate technical concepts for less technical colleagues.
Mentor data team members and ensure large engineering projects deliver business outcomes.
Velir is an established mid-sized digital agency serving clients from non-profits to Fortune 500 brands, and acquired Brooklyn Data Company, a data and analytics consultancy. The company is remote-first with a culture built on trust, collaboration, and continuous improvement, offering competitive pay and benefits.