Design and build scalable and high-performance data software solutions using Golang and Python.
Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
Collaborate with cross-functional teams to understand and address customer needs, ensuring systems evolve.
Machinify is a healthcare intelligence company focused on delivering value, transparency, and efficiency to health plan clients. They deploy a configurable, AI-powered platform used by over 85 health plans, representing more than 270 million lives, and foster a flexible and trusting environment.
Design, build, maintain, and operate scalable streaming and batch data pipelines.
Work with AWS services, including Redshift, EMR, and ECS, to support data processing and analytics workloads.
Develop and maintain data workflows using Python and SQL.
Southworks helps companies with software development and digital transformation. They focus on solving complex problems and delivering innovative solutions.
Build and operate backend services and automation for the Snowflake data platform.
Support data ingestion pipelines (RDS/Oracle → Snowflake) and reverse ETL (Snowflake → RDS).
Develop and maintain Airflow (AWS MWAA) workflows for ingestion, data quality, and ops automation.
Upwork is the world’s work marketplace, serving everyone from one-person startups to over 30% of the Fortune 100. They provide a powerful, trust-driven platform that enables companies and talent to work together in new ways that unlock their potential. Last year, more than $3.8 billion of work was done through Upwork.
Design, build, and maintain enterprise-scale data pipelines on Snowflake Data Platform.
Design, build, and maintain cloud-native AI/ML solutions (AWS, Azure) that support advanced analytics and decision making.
Implement best practices for data quality, observability, lineage, and governance.
FUJIFILM Biotechnologies is dedicated to making a real difference in people’s lives. They partner with innovative biopharma companies to advance vaccines, cures, and gene therapies, fostering a culture that fuels passion and drive, known as Genki.
Serve as a primary advisor to identify technical improvements and automation opportunities.
Build advanced data pipelines using the medallion architecture in Snowflake.
Write advanced ETL/ELT scripts to integrate data into enterprise data stores.
Spring Venture Group is a digital direct-to-consumer sales and marketing company focused on the senior market. They have a dedicated team of licensed insurance agents and leverage technology to help seniors navigate Medicare.
Design Scalable Data Architecture: Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows, optimise data models, and enable self-serve analytics and AI.
End-to-End Data Ownership: Manage ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic provides smartphone locking technology, enabling global access to devices and digital finance. They partner with mobile carriers, retailers, and financiers across 30+ countries, powering device financing solutions. They celebrate diversity and aim to do the right thing for each other, the community, and the planet.
Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow.
Lead efforts to canonicalize raw healthcare data into internal models.
Onboard new customers by integrating their raw data into internal pipelines and canonical models.
Machinify is a healthcare intelligence company delivering value, transparency, and efficiency to health plan clients. They serve over 85 health plans, including many of the top 20, representing more than 270 million lives, with an AI-powered platform and expertise.
Collaborate with cross-functional teams and business units to understand and communicate Ion’s needs and goals.
Develop, improve, and maintain robust data pipelines for extracting and transforming data from log files and event streams.
Design models and algorithms to derive insights and metrics from large datasets.
Intuitive is a global leader in robotic-assisted surgery and minimally invasive care. Their technologies, like the da Vinci surgical system and Ion, have transformed how care is delivered for millions of patients worldwide. They are a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human.
Build and optimize scalable, efficient ETL and data lake processes.
Own the ingestion, modeling, and transformation of structured and unstructured data.
Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows.
Launch Potato is a digital media company that connects consumers with brands through data-driven content and technology. They have a remote-first team spanning over 15 countries and have built a high-growth, high-performance culture.
Collaborate on architectural decisions and design best practices
Design and implement new features into the HealthJoy platform
Collaborate with engineering and product team members to improve quality and velocity
HealthJoy turns messy healthcare benefits into clear next steps, using a layered, multi-agent LLM paired with a real-time recommendation system. They have raised $100M+ and grown to a global team dedicated to building impactful technology.
Design and build robust, highly scalable data pipelines and lakehouse infrastructure with PySpark, Databricks, and Airflow on AWS.
Improve the data platform development experience for Engineering, Data Science, and Product by creating intuitive abstractions, self‑service tooling, and clear documentation.
Own and maintain core data pipelines and models that power internal dashboards, ML models, and customer-facing products.
Parafin aims to grow small businesses by providing them with the financial tools they need through the platforms they already sell on. They are a Series C company backed by prominent venture capitalists, with a tight-knit team of innovators from companies like Stripe, Square, and Coinbase.
Architect, build, and operate data infrastructure that powers Tebra’s intelligent features.
Translate business requirements into software solutions that accelerate our ability to deploy AI.
Monitor data pipelines, detect anomalies, and implement automated recovery systems.
Tebra unites Kareo and PatientPop, providing a digital backbone for practice well-being, supporting both products with a shared vision for modernized care. Over 100,000 providers trust Tebra to elevate patient experience and grow their practice, building the future of well-being with compassion and humanity.
Architect, build, and maintain highly scalable batch and streaming pipelines on the Snowflake Data Platform.
Architect and deliver ML/GenAI solutions using managed cloud services.
Implement modern data modeling and architecture patterns; establish and enforce standards for data quality.
FUJIFILM Biotechnologies focuses on making the next vaccine, cure, or gene therapy in partnership with some of the most innovative biopharma companies across the globe. They cultivate a culture that will fuel your passion, energy, and drive.
Define and plan the long-term strategy for the Data Platform.
Design and develop scalable distributed systems for data management.
Improve and add features to the ETL framework while maintaining SLAs.
Jobgether is a platform that connects job seekers with companies using an AI-powered matching process. It's a platform that ensures applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Build and Maintain Bronze/Silver Layer Pipelines: ensure core data sources lands accurately, on time, and with full lineage.
Lead Data Ingestion, Transformation, and Enrichment: own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution.
Develop Automated Ingestion Pipelines: use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind.
Precision AQ is building a centralized Data Hub to consolidate fragmented data infrastructure, establish enterprise-wide data governance, and enable AI-ready analytics across our life sciences portfolio. They value innovation and a collaborative environment.
Design, develop, and maintain dbt data models that support our healthcare analytics products.
Integrate and transform customer data to conform to our data specifications and pipelines.
Design and execute initiatives that improve data platform and pipeline automation and resilience.
SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial.
Design and build scalable and high-performance data software solutions using Golang and Python.
Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements.
Machinify is a healthcare intelligence company delivering value, transparency, and efficiency to health plan clients. They deploy a configurable, AI-powered platform and have best-in-class expertise in the payment continuum, serving over 85 health plans and 270 million lives.
Architect and develop cloud-native data platforms, focusing on modern data warehousing, transformation, and orchestration frameworks.
Design scalable data pipelines and models, ensure data quality and observability, and contribute to backend services and infrastructure supporting data-driven features.
Collaborate across multiple teams, influence architectural decisions, mentor engineers, and implement best practices for CI/CD and pipeline delivery.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design, build, and maintain ETL/ELT pipelines and integrations across legacy and cloud systems.
Model, store, and transform data to support analytics, reporting, and downstream applications.
Build API-based and file-based integrations across enterprise platforms.
Jobgether is a platform that uses AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share this shortlist directly with the hiring company.
Own and evolve our data infrastructure, including pipelines into our data warehouse
Manage and improve cloud infrastructure and DevOps workflows
Ensure platform reliability so product and design teams aren’t pulled into backend or operational firefighting
Meridio is a remote-first company on a mission to make health benefits for small businesses simple, affordable, and accessible. As they scale smart, they’re focused on building systems that reduce complexity instead of adding it.