Design and develop automated ETL/ELT pipelines to ingest data into Google Cloud Platform.
Implement Medallion Architecture patterns and maintain governed views in BigQuery.
Balance new solution development with production incident resolution and support.
Our partner is a company seeking a senior data professional to design, build, and operate scalable data solutions in a large-scale corporate environment. They collaborate across multiple business areas and combine development with operational support.
Design and build scalable data pipelines (batch & streaming) on GCP.
Develop and manage API-driven integrations (REST, JSON, event-based).
Work with healthcare data standards such as FHIR, HL7, and EDI.
Egen is a data-first consulting firm specializing in Google Cloud and Salesforce, helping clients drive action through data and insights. The company is fast-growing and entrepreneurial, with a culture focused on learning, problem-solving, and innovation.
Design, build, and maintain scalable data pipelines for ingestion and transformation.
Work with Python, SQL, Apache Airflow, and Google Cloud Platform.
Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
Our partner is a technology company focused on AI and data solutions. The team values collaboration, innovation, and continuous learning, and offers a remote work environment.
Lead a centralized team of data engineers and applied data scientists to build scalable data infrastructure, machine learning systems, and analytics foundations.
Partner with cross-functional leaders to translate business needs into technical solutions, balancing long-term platform investments with immediate priorities.
Champion data quality, governance, observability, and modern engineering practices across the data ecosystem to drive operational efficiency and AI-powered experiences.
Our partner is a technology company that leverages data and AI to enhance user experiences through scalable data infrastructure and machine learning systems. They foster a collaborative, inclusive, and high-performing culture with a remote-first approach and a focus on professional growth.
Lead and coach a team of data engineers and applied data scientists while fostering team health and high performance.
Partner with cross-functional leaders to translate business needs into technical requirements and prioritize initiatives.
Drive the architecture and delivery of scalable data pipelines, ML models, and algorithmic systems for internal and member-facing experiences.
AllTrails is the app for exploring the outdoors, connecting people to their next adventure. It is home to the world's largest outdoor community, with a team that values positivity, innovation, humility, adaptability, inclusivity, and stewardship.
Lead the Data & Observability Platform team to build scalable data capabilities and improve engineering velocity.
Partner with Data & Analytics, SRE, and Cloud Platform Engineering to deliver reliable platform foundations and observability.
Drive modernization of legacy data platforms into cloud-native patterns on GCP, Databricks, and dbt.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide and multiple Top Employer awards, we foster an innovative and collaborative culture.
Lead the development of the data platform supporting clinical operations, payer reporting, and analytics.
Build and orchestrate ingestion pipelines using Mage, Python, and GCP infrastructure as code.
Ensure security and compliance with PHI, HIPAA, and SOC 2 while collaborating cross-functionally.
Protera Health is a musculoskeletal (MSK) specialty care company that partners with health plans, health systems, and employers to deliver coordinated, measurable MSK care. It is a growing multidisciplinary clinical organization with a technology platform, offering a fully remote, mission-driven culture.
Provide Apache Airflow expertise directly to customers, solving challenging problems and optimizing configurations.
Learn and build expertise across software engineering disciplines including Airflow, Kubernetes, and Cloud Engineering.
Own the customer experience, working directly with customers to prioritize and resolve issues, and provide guidance on the path to production.
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data.
Build and enhance data solutions and AI initiatives for insurance using GCP and BigQuery.
Code BigQuery procedures and implement scalable data models within the data lake.
Collaborate with cross-functional teams to deliver solutions aligned with business objectives and data governance guidelines.
Applied builds cloud software and AI-powered solutions for insurance agencies and brokers worldwide. With over 40 years of industry experience, the company fosters a people-first culture built on trust, inclusion, and growth.
Provide production support and maintenance for enterprise applications on Google App Engine, ensuring availability and performance.
Lead incident response, troubleshooting, and root-cause analysis for user-impacting issues while meeting SLAs.
Own deployments, feature enhancements, and operational improvements across microservices environments on GCP.
Innodata is a global data engineering company enabling responsible AI advancement through data, evaluation frameworks, and human expertise. With over 36 years of legacy, it delivers high-quality data solutions and services to AI builders and adopters.
Lead Cloud Platform and SRE teams, driving infrastructure strategy and ownership including Kubernetes, GCP, and Terraform.
Champion SRE culture, define SLOs, SLAs, and enhance observability and incident management.
Own the developer-facing platform as a product, ensuring self-service infrastructure and security compliance (SOC2, ISO-27001).
Prolific builds human data infrastructure for AI development, connecting researchers with a global participant pool. They foster a culture of high performance, ownership, and cross-functional collaboration.
Translate business goals into concrete data solutions.
Collaborate with peers, manage multiple priorities, and communicate project status.
Apply best practices in data pipelines, schemas, and system design.
DEPT is a growth invention company helping ambitious brands grow at the intersection of technology and marketing. With over 4,000 specialists, it values collaboration, curiosity, and getting things done.
Own operational excellence for the Databricks platform, including monitoring, alerting, and incident response.
Design and maintain CI/CD standards for Databricks assets and production reliability patterns.
Partner with teams to ensure ingestion, observability, and compliance in a regulated environment.
Shield AI is a venture-backed defense-tech company protecting service members and civilians with intelligent systems. With offices across the U.S., Europe, the Middle East, and Asia-Pacific, its technology supports operations worldwide.
Collaborate with Data Science, Product Managers, and Software Engineers to build robust ETL pipelines for user-facing features.
Contribute to architecture decisions, observability tooling, and data quality initiatives to keep the platform robust.
Enforce engineering best practices across the AI/ML org, including code quality, testing, and documentation.
Federato is an AI-native platform for insurance, enabling insurers to provide affordable coverage for climate, cyber, and social inflation risks. It is a small, well-funded company backed by the investors behind Salesforce, Veeva, and Zoom, with a culture focused on first principles, learning, and fun.
Build and maintain data infrastructure processing petabytes of data across millions of users.
Write clean, well-tested code for data ingestion, transformation, and serving systems.
Own projects end-to-end and collaborate with data scientists, engineers, and product teams.
Discord is a voice, video, and text communication platform built for gaming communities, with millions of daily active users. The company fosters an inclusive, collaborative culture focused on deepening friendships around games and shared interests.
Build the data control plane for governance and discovery.
Create paved roads for data products with SDKs and CI/CD.
Ensure every data product is observable by default.
Kargo creates powerful moments of connection between brands and consumers to build businesses. With 600+ employees, the company uses a creative science approach to deliver innovative ad experiences across CTV, eCommerce, social, and mobile.
Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain.
Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences.
Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions.
Spotify is a global music streaming service with a mission to reach one billion users and $100 billion in revenue. The Subscriptions User Understanding team supports over 200 million Premium subscribers, fostering a culture of inclusivity and forward-thinking innovation.
Build a cloud-native big data platform handling audience data for millions of attendees and billions of interactions.
Design and own ML infrastructure including feature stores, training pipelines, and model serving.
Own the full data pipeline from ingestion to business impact, ensuring reliability and performance.
Hive is a marketing platform that helps event marketers personalize and automate campaigns to sell out shows and engage fans. The company is a fully remote team located across Canada, fostering a work environment with strong work-life balance and a focus on impactful outcomes.
Design, implement, and maintain ML-driven services and data workflows in Python.
Apply software engineering best practices, including clean code, testing, CI/CD, and documentation.
Deploy and operate ML services on GCP, using tools like Cloud Run, GKE, and BigQuery.
CertifyOS builds the data infrastructure that powers modern healthcare, automating provider licensing, enrollment, and credentialing via an API-first platform. They are backed by leading investors and built by a team with deep experience in provider data systems, emphasizing authenticity, accountability, and collaboration.
Provide expert architectural guidance and day-two operational expertise for GCP infrastructure supporting a national aviation safety platform.
Partner with customer operations teams and Google technical advisors to strengthen platform reliability, automation, and DevSecOps practices.
Take proactive ownership of complex issues, from Tier 3 troubleshooting to operational readiness, ensuring high availability and performance.
540 is a forward-thinking consulting firm that partners with government agencies to deliver innovative technology solutions for mission-critical systems, including aviation safety platforms. The company fosters a culture of ownership, collaboration, and technical excellence, with a small-team environment where engineers drive real impact.