Design and build scalable backend services and APIs.
Develop integrations with healthcare and financial systems.
Build reliable, observable data ingestion and processing pipelines.
This healthcare AI startup builds products that help providers navigate reimbursement landscapes using machine learning and AI. It has assembled an exceptional technical team and is fast-growing.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Work cross-functionally with Product and experts to conceptualize, prototype, and build data solutions
Build and maintain data engineering systems and high-quality data models from multi-source healthcare datasets
Develop and test data pipelines and draft internal and external technical documentation
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, and others, we are a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
Design and deliver near real-time data solutions for the analytics platform.
Analyze business needs, optimize data models, and identify slow queries for performance improvement.
Write clean, scalable code using Scala, Python, and SQL while mentoring team members.
Aircall is an AI-powered customer communications platform used by 22,000+ companies worldwide. It is a unicorn startup with offices across multiple countries and a focus on innovation and collaboration.
Design, build, and operate the online feature store serving ML features to production models with low latency and high reliability.
Build and maintain data pipelines (batch and streaming) that compute, validate, and publish features from source systems.
Act as a technical leader for feature store infrastructure, partnering with Data Science and Engineering teams to drive quality and scalability.
Forward Financing is a financial technology company on a mission to unlock capital for small businesses across America. The company has provided over $3.5 billion in funding to 71,000+ small businesses and is recognized as a Best Place to Work, with a culture focused on employee investment and customer experience.
Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases.
Develop reusable frameworks, services, and workflows to standardize how teams build and manage data pipelines and data products.
Partner with Analytics, Applied-AI, and Engineering teams to deliver platform capabilities that support business and clinical decision-making.
Omada Health is on a mission to bend the curve of chronic disease by providing a virtual-first care model that combines human-led care teams, connected devices, and AI-enabled technology. They have served over two million members and are a publicly traded company with a culture of trust, context, boldness, results, and teamwork.
Develop tools and applications in Python for data processing, analysis, and forecasting.
Design and optimize Python/Snowflake-based data pipelines for ingesting, cleaning, and transforming data.
Collaborate with global technical and analyst teams to gather requirements and build innovative analytical solutions.
IDC provides trusted technology intelligence for business and technology leaders. With over 1,000 analysts globally, the company fosters a culture of rigor, integrity, and shared success.
Design, build, and deploy production-grade machine learning and AI systems for customer-facing analytics and automation.
Develop and operationalize end-to-end ML workflows from data preparation to model monitoring.
Collaborate with Product and Engineering teams to identify high-impact use cases and deliver AI-powered data products.
Boulevard provides a client experience platform for appointment-based self-care businesses, empowering customers to give clients magical moments. The company values diversity, experimentation, and simplicity, and celebrates diverse backgrounds.
Design and build scalable data pipelines using Python and SQL to ingest, transform, and curate data from internal and external sources.
Implement schema validation, data quality checks, and job monitoring to ensure trustworthy data outputs.
Collaborate with analytics engineers, architects, and product partners to define technical requirements and deliver data products.
Cohere Health provides a clinical intelligence platform that uses AI to connect health plans and providers, improving care quality and reducing costs. We are a growing company recognized as a top LinkedIn startup and backed by leading investors, fostering a supportive, growth-oriented culture.
Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions.
Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems.
Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges.
Boosted.ai builds AI for finance to optimize investing and boost productivity. They are a rapidly scaling company trusted by enterprises with over $5 trillion under management, backed by top investors, and have a collaborative, low-ego culture.
Develop highly scalable and reliable data systems on AWS cloud platform for data-centric products.
Collaborate with Data Science teams to incorporate Machine Learning algorithms using Python and data engineering tools.
Lead and mentor team members, contribute to Agile cycles, and ensure timely delivery of documented software.
Experian is a global data and technology company that powers opportunities for people and businesses worldwide. With 22,500 employees across 32 countries, they foster a culture of innovation and data-driven solutions.
Design, build, and optimize scalable data platforms supporting analytics, AI/ML, and enterprise reporting.
Develop and maintain complex data pipelines using AWS Glue, Step Functions, and Databricks Workflows.
Collaborate with product, engineering, analytics, and ML teams to transform complex data challenges into reliable solutions.
Jobgether uses AI to match candidates with job openings for faster, fairer reviews. It is a technology platform focused on streamlining the hiring process for both candidates and employers.
Own and evolve ClickHouse's Python connector and SDK ecosystem, focusing on performance, reliability, and API design.
Build and maintain production-grade integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt).
Drive the AI/LLM integration strategy, designing connectors for RAG architectures, ML feature pipelines, and LLM-powered data applications.
ClickHouse delivers real-time analytics, data warehousing, observability, and AI workloads to over 3,000 customers. The company has grown ARR over 250% year over year, recently raised $400M in Series D funding, and operates a globally distributed, remote-friendly culture.
Lead discovery and technical due diligence on undocumented legacy systems.
Architect and build production-grade migration pipelines using Airflow and Spark.
Own the full migration lifecycle from kickoff through go-live and handoff.
Machinify is a healthcare intelligence company providing an AI-powered platform for health plans to maximize financial outcomes and reduce costs. They serve over 85 health plans, representing more than 270 million lives, and foster a culture of autonomy and high trust.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion through to analytics enablement.
Improve monitoring, alerting, and data quality across key pipelines.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. Over 400,000 players have joined, and the team operates with high ownership and fast iteration in a scale-up environment.
Design, build, and maintain backend services, REST APIs, databases, and big data pipelines that power customer-facing insights and analytics.
Implement and maintain near-real-time stream-based data processing pipelines in collaboration with batch-oriented data refresh workflows.
Scale data processing and insights generation pipelines to handle growing volumes of activity data while managing infrastructure costs.
Backstory helps companies understand the state of their revenue business by answering questions that span customer interactions, sales activity, pipeline health, and deal execution. Headquartered in San Francisco, CA, Backstory is backed by Y Combinator and top investors, and is listed in the top 20 percent of Inc 5000 companies.
Design, build, and maintain scalable data and ML pipelines for analytics and AI systems.
Build and optimize workflows for structured and unstructured data, enabling semantic search and RAG use cases.
Manage and optimize vector databases and indexing strategies for efficient retrieval and AI-powered search.
This is a partner company seeking a Data & Machine Learning Engineer based in Brazil. They operate in a highly technical and global environment with strong emphasis on scalability, performance, and innovation.
Build and maintain agentic systems collecting and processing signals from social platforms, on-chain data, and ads ecosystems.
Design pipelines to ingest from external APIs, enrich data, and build semantic layers for both humans and AI agents.
Build full-stack applications and dashboards making intelligence accessible across client accounts.
Serotonin is a go-to-market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, they have supported over 300 clients since 2020, offering end-to-end solutions across all major marketing channels.
Design and maintain scalable data pipelines for ingestion, transformation, and delivery into data warehouses, feature stores, and ML/AI systems.
Build workflows for processing unstructured data and develop semantic representations to enable advanced search, retrieval, and LLM-powered applications.
Collaborate with stakeholders to translate business requirements into scalable data and ML solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use technology to review applications and share top-fitting candidates directly with employers, ensuring a fair and efficient hiring process.
Design, develop, and maintain resilient, scalable, end-to-end data pipelines with Snowflake and Python.
Partner with product owners and analysts to gather requirements and deliver data solutions aligned with business goals.
Act as a subject matter expert, mentor junior engineers, and champion DevOps practices including CI/CD and automated testing.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups and health systems to optimize practices and improve patient care through its cloud-based platform. The company is led by top industry talent and physician leadership, focusing on reducing healthcare costs and improving outcomes.