Lead team of engineers driving data engineering standards and initiatives across Applied's platforms.
Drive high-visibility, cross-functional initiatives in close collaboration with Product, Architecture, and Engineering teams.
Build and standardize data engineering best practices as part of a newly formed team.
We transform the insurance industry with innovative software and services. With 40+ years of experience in insurtech, we have a culture that values diversity and inclusion.
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.
Lead the Promise team to drive roadmap and delivery, partnering across Product, Sales, Customer Success, and Support.
Stay hands-on with PR reviews, architecture decisions, and AI-native development, tracking industry trends.
Build and manage a high-performing engineering team, setting clear OKRs and managing performance.
Narvar is a platform that simplifies post-purchase experiences for retailers, helping them retain, engage, and delight customers. With hubs in San Francisco, Atlanta, London, and Bangalore, Narvar works with over 1300 brands and has served over 125 million consumers worldwide.
Lead a team of engineers, owning both delivery and development with a focus on continuous improvement and fast iterations.
Write and review code, drive architectural decisions, and uphold engineering standards while working AI-augmented.
Own the team's commitments, partner with product on roadmap, and hire thoughtfully to build a high-performing team.
DoiT is a global technology company that helps cloud-driven organizations leverage the cloud for business growth and innovation. With specializations in Kubernetes, GenAI, and CloudOps, they work alongside more than 4,000 customers worldwide as an award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure.
Lead the Data Engineering team to design, build, and operate scalable data pipelines powering analytics and AI.
Partner with cross-functional leaders to define technical strategy, roadmap, and execution for the enterprise data platform.
Drive engineering excellence through improved data quality, reliability, observability, and governance.
Omada Health is reverse engineering healthcare delivery in America, focusing on chronic conditions like obesity, diabetes, and hypertension. With over two million members served and a strong remote-first culture, the company has been certified as a Great Place to Work.
Lead a team building data platforms and ML operations infrastructure.
Own reliability, scalability, and continuous improvement of analytics systems.
Collaborate with data scientists and leaders to deliver impactful ML solutions.
The company builds advanced data and machine learning platforms that power analytics and intelligent products. Its culture emphasizes innovation, reliability, and inclusivity, supporting professional growth and technical excellence.
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.
Manage a global team of Data Engineers and Scientists, providing mentorship, performance reviews, and career pathing.
Foster cross-functional synergy with Sales and Account Management to bridge technical knowledge gaps and identify strategic upsell opportunities.
Own resource allocation for a diverse portfolio of projects, ensuring the right talent is matched to high-impact initiatives.
Adswerve is an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies unlock growth through digital marketing. The company has 250+ employees across 26 states and six countries, fostering a team-oriented culture where everyone contributes and feels valued.
Collaborate with product managers, data analysts, and ML engineers to develop pipelines and ETL tasks for insights.
Establish data architecture processes that are scheduled, automated, and replicated as standards.
Manage individual Data Engineers to foster learning, growth, and success.
Doximity is the leading digital platform for U.S. medical professionals, with over 85% of physicians as members. We are a distributed team of doers passionate about improving healthcare.
Design, build, and own data pipelines moving data from application and third-party sources into relational databases.
Build and ship production AI systems, including data infrastructure and evaluation systems for feature reliability.
Set standards for data work through clear writing, early context sharing, and team efficiency.
Dscout builds a flexible UX research platform trusted by top brands in finance, healthcare, and tech. They are a remote-first team of passionate professionals that prioritize learning, diversity, and inclusion.
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.
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 strategy, architecture, and execution of a scalable data ecosystem for business intelligence and AI.
Manage and grow a team of data platform engineers, fostering a culture of technical excellence.
Partner with product and analytics teams to deliver data-driven customer experiences and insights.
Jobgether is a platform that uses AI-powered matching to connect job seekers with hiring companies. They operate a remote-first environment and focus on providing a streamlined application process.
Own data pipelines end to end - ingestion, transformation, warehousing, and delivery into BI.
Build and maintain dbt models with tests, documentation, and clear contracts.
Own product analytics: instrumentation, event tracking, usage models, and metrics for GTM and product teams.
Cortex is the Engineering Operations Platform providing visibility, governance, and golden paths for engineering organizations. We are a team of 80 passionate individuals excited about building a product that developers love.
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.
Own and evolve the marketing data platform, designing and maintaining ETL/ELT pipelines on BigQuery and dbt that scale with growing measurement needs.
Design, build, and deploy AI agents and applications on Google Cloud to automate marketing and product workflows, giving teams self-serve leverage.
Uphold engineering best practices across an AI-assisted codebase, ensuring version control, code review, automated testing, and secure, reproducible deployments.
Absorb Software is a leading AI-driven learning platform provider, helping organizations unlock workforce potential through strategic learning systems. Trusted by over 3,300 organizations and 34 million users, the company fosters a culture of genuine care, unity, and continuous learning.
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.
Lead and mentor a high-performing engineering team building a cloud cost management platform.
Drive architectural decisions and technical strategy using Python, FastAPI, PostgreSQL, and modern data platforms.
Collaborate with Product and Design teams to align engineering execution with business objectives.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use automated screening to shortlist top-fitting candidates for employers worldwide.
Lead and mentor a high-performing data science team at the intersection of blockchain, intelligence, and machine learning.
Drive technical innovation across a diverse stack including Airflow, BigQuery, Kafka, and Python.
Collaborate cross-functionally to transform raw blockchain data into insights for TRM's products and customers.
TRM Labs provides AI-powered intelligence solutions for public and private sector agencies to investigate and disrupt crime. It is a Series C company with $220M in total funding, backed by Blockchain Capital and Goldman Sachs, operating as a distributed-first company.
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.