Design and own scalable data infrastructure for real-time and batch processing, including pipelines handling billions of events daily.
Architect medallion-layer data models in Databricks and build AI-assisted workflows with Claude Code.
Partner with analytics and data science teams to deliver reliable datasets and enable natural-language querying.
Life360 is a family safety and location-sharing platform offering mobile apps, Tile trackers, and Pet GPS with crash detection. It has 102M+ monthly active users and 500+ remote-first employees, with an AI-native, trust-based culture.
Set multi-quarter technical direction for the data platform and drive alignment on large ambiguous cross-functional projects.
Architect and build scalable, robust data platforms serving analytic and operational needs across the organization.
Champion AI-assisted development practices and improve systems' performance, observability, and reliability.
GameChanger builds the first and best place to experience youth sports moments, helping families elevate the next generation through sports. We are a remote-first, dynamic tech company based in New York City, solving big challenges in youth sports.
Design, build, and maintain robust data pipelines that ingest and normalize security data from 120+ sources.
Operate and improve the attribution layer by implementing entity resolution and ownership rules as version-controlled code.
Collaborate with analysts and leadership to provide query support, reporting, and executive metrics that drive security program decisions.
Cisco designs and sells networking, security, and collaboration technologies that power the digital world. With a global team of doers and experts, we foster a collaborative culture that values empathy, innovation, and large-scale impact.
Design, build, and maintain scalable data pipelines and centralized repositories for reliable analytics.
Perform advanced data profiling, validation, and root cause analysis to ensure data quality.
Mentor junior engineers and collaborate across teams to modernize data infrastructure and processes.
Brown University Health is Rhode Island's largest health system and private employer, comprising hospitals and behavioral health providers. With over 20,000 staff, it fosters a collaborative culture centered on compassion, accountability, respect, and excellence.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, and semantic layers.
Engineer modern data pipelines and models, writing production-ready code in SQL, Python, and Spark with Git and CI/CD best practices.
Aimpoint Digital is a fully remote AI and Data consultancy that partners with clients to design end-to-end analytical solutions and AI-ready data architectures. The company is a dynamic, growing team that blends modern tools with proven principles to deliver optimal data engineering outcomes.
Lead the design of scalable enterprise data platforms, translating client business requirements into technical strategies.
Combine architectural leadership, client advisory, and hands-on expertise covering cloud platforms, data pipelines, and AI/ML.
Guide engineering teams through implementation, mentoring engineers and facilitating discovery workshops.
Truelogic is a nearshore staff augmentation services provider headquartered in New York, delivering top-tier technology solutions to companies of all sizes. With a team of over 600 tech professionals in Latin America, they drive digital disruption by partnering with U.S. companies.
Design, build, and operate data pipelines across the Accelerator's medallion architecture, ensuring data quality and versioned schema contracts.
Develop and operate ML and NLP enrichment pipelines, including language identification, translation, and classification at scale.
Collaborate with research teams to define data products and provide direct technical support on the platform.
Princeton University is a leading Ivy League institution that advances education and research across disciplines. Its Accelerator supports computational social scientists with a shared data and compute platform, fostering a collaborative and innovative environment.
Contribute to the design, implementation, automation, and support of enterprise-scale cloud data platforms using Databricks, AWS, and Infrastructure as Code.
Lead the design and development of ETL/ELT pipelines within Databricks using PySpark, Spark SQL, Delta Lake, and Databricks Workflows.
Build, deploy, and monitor ML models and data infrastructure to ensure high availability, scalability, and performance.
Scout Motors is an automotive company reviving the iconic Scout vehicle as an electric pickup truck and rugged SUV brand. The company fosters an inclusive, entrepreneurial culture focused on innovation, respect, and building from the ground up.
Build, test, and maintain data ingestion and transformation pipelines that turn raw and synthetic data into governed, analysis-ready data products.
Extend the platform following established architecture and contribute to Terraform and CI/CD workflows.
Monitor data quality and collaborate with data science and ML teams within FedRAMP Moderate and NIST 800-171 constraints.
Peraton is a next-generation national security company that drives missions of consequence for government agencies and the U.S. armed forces. It is a large mission capability integrator and enterprise IT provider with a culture focused on solving daunting challenges and protecting people worldwide.
Lead architecture and technical decision-making across the data lifecycle, from ingestion to consumption by products and AI.
Drive modern engineering approaches through proofs of concept, technology evaluation, and reimagining solutions for scale.
Mentor engineers and build a culture of strong software engineering practices, experimentation, and shared technical ownership.
Applied Systems provides software, data, and intelligent systems that connect agencies and carriers across the insurance lifecycle. With 40+ years in insurtech, the company builds on a culture of learning, experimentation, and shared ownership.
Design, build, and ship backend services for AI-powered service experiences in Jira Service Management.
Own complex tasks end-to-end, from technical design through rollout, validation, and post-launch improvements.
Collaborate across functions to turn ambiguous customer problems into scalable backend and ML-supported solutions.
Atlassian builds software products that help teams collaborate and unleash their potential. With a global team and a culture that values unique contributions and diversity, Atlassian offers flexible work options to support its employees.
Build, test, and maintain robust ETL pipelines for structured and unstructured data sources, including integration with ML models.
Develop data transformation, validation, and quality monitoring processes to ensure reliable and actionable data.
Design and implement data warehouse solutions, data models, and data quality frameworks to support analytics and reporting.
Base Operations decodes the world's threat landscape into actionable security insights for organizations to protect people, assets, and operations. Founded on technology developed at Harvard and MIT, the company is award-winning, backed by top-tier VCs, and serves Fortune 500 clients with a dedicated and fun-loving team.
Set the technical direction for data architecture across warehouses, lakes, and lakehouse environments.
Champion data governance, AI-ready data foundations, and enterprise data modeling strategies.
Partner with leadership and clients as the senior data voice while mentoring engineers and architects.
Robots & Pencils is an applied AI engineering firm that designs and ships AI co-workers integrated into enterprise operations. Founded in 2009, the company has delivery centers across North America, Eastern Europe, and Latin America, with a senior team averaging over 15 years of experience.
Design, build, and optimize scalable data pipelines for VA claims processing using Python, SQL, PySpark, and cloud platforms.
Integrate complex datasets from VA systems, claims applications, and medical evidence into secure, reliable data products.
Collaborate with stakeholders to modernize claims processing, improve data quality, and enable analytics and AI.
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed, bringing commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, it serves defense, space, healthcare, and energy sectors with a focus on agility and collaboration.
Design and scale high-performance data pipelines into Snowflake for a large e-commerce platform.
Automate data engineering workflows using agentic systems and AI-native tooling.
Collaborate with analytics, data science, and product teams to deliver end-to-end data solutions.
This partner company operates a large-scale e-commerce and digital platform serving millions of users. It fosters a remote-first culture across the U.S. and Canada, emphasizing innovation, ownership, and practical use of AI.
Own technical design of the data platform powering Palmetto's products, partners, and AI agents.
Build governed, trustworthy data products from bronze to gold for analysts, engineers, and AI tools.
Operate secure, authorized access paths and pipelines with CI/CD, observability, and SLAs.
Palmetto is a consumer energy platform providing homeowners a single destination for solar, battery storage, HVAC, and more. They serve hundreds of thousands of homeowners across 30+ states and value talent development, collaboration, and purpose-driven work.
Lead high-impact AI/ML and data engineering projects across ASG's portfolio companies.
Build hands-on LLM-powered tools, data pipelines, and ML systems.
Partner with portfolio companies to commercialize data and drive AI adoption.
ASG is an unconventional group of market-leading SaaS software companies serving industries from behavioral health to childcare. It has acquired over 50 businesses since 2016 and is backed by Alpine Investors, operating with a PeopleFirst culture.
Design, build, and maintain reliable data pipelines and platforms for ICA, a trusted advisor to federal agencies.
Transform structured and unstructured data into dependable datasets for analytics, applications, and AI initiatives.
Collaborate with data scientists, analysts, and software engineers using Python, SQL, and AWS.
ICA assists government clients with evaluating and achieving objectives through research, data analysis, advanced data science, and strategic services. It is a small, rapidly growing company with a collaborative 'one team' culture that prioritizes work-life balance.
Design, build, and operate AWS infrastructure supporting ML models, AI tools, and event-driven integrations.
Build reliable CDC pipelines and event-driven integrations with third-party systems like Salesforce and Braze.
Implement observability, secure operations, and model monitoring for production ML and LLM systems.
National Debt Relief helps consumers resolve debt and has settled over $10 billion for 450,000 clients. It is a certified Great Place to Work known for a team-oriented culture and employee growth.
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.