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.
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.
Design, build, and maintain scalable data pipelines and platform infrastructure on Snowflake, owning the platform end to end.
Champion data quality, governance, and consistency, ensuring high-trust data for all downstream consumers.
Build with AI-native tooling, setting up development environments and establishing team practices for the AI era.
RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform, connecting the pharmacy ecosystem.
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 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.
Own the data platform from architecture through production, handling high-volume ingestion from APIs, webhooks, files, and scraping.
Implement concurrent processing, event-driven intake, and orchestrated batch workflows using tools like Airflow, dbt, and GCP.
Ensure data correctness through idempotent upserts, safe retries, and automated quality checks.
Fundable is a startup data platform that helps investors and teams discover and research companies. It is a small engineering team with broad ownership and a focus on building reliable data infrastructure.
Design, build, and operate reliable automated data pipelines for health plan data.
Model complex healthcare data into clear, trustworthy canonical and analytical models.
Bring legacy processes and pipelines into a common platform, extending tooling for partner teams.
Machinify is a leading healthcare intelligence company building AI-powered software that helps health plans pay claims accurately. Deployed by over 85 health plans representing more than 270 million lives, Machinify fosters a flexible, trusting, and remote-first culture.
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.
Own the AI research data platform: ingestion, preprocessing, governance, and export of high-volume media data.
Scale Databricks lakehouse and distributed processing, making build-vs-buy decisions as data grows.
Build reusable synthetic data infrastructure and own pipeline reliability, observability, and cost.
Reality Defender detects deepfakes and AI-generated media for enterprises and governments using a patented multi-model platform. A lean, well-funded startup backed by top-tier investors, it protects against malicious AI content.
Own and modularize the infrastructure behind Seer's data platform using Terraform or OpenTofu.
Build and maintain GCP services including BigQuery, Cloud Run, and Cloud Functions, automating data flows.
Design CI/CD pipelines, alerting, and monitoring to ensure reliable, well-governed systems.
Seer Interactive is a digital marketing consultancy that uses data, technology, and AI to drive client outcomes. It is a remote-first Certified B-Corp with team members across the US.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion to analytics enablement.
Work closely with Product, Analytics, and Engineering to improve data quality and monitoring.
We are a next-generation sports betting and gaming platform built for a new wave of players. With over 400,000 players, we’re a high-performance team operating at pace with high ownership and constant iteration.
Design and deliver complex data platform solutions across Databricks, dbt, Power BI, and Azure services.
Lead operational support, monitoring, and root-cause analysis for production pipelines and integrations.
Mentor junior engineers and communicate technical topics clearly to both business and technical audiences.
Mom's Meals is a home-delivered meal service providing fully prepared, refrigerated meal solutions to seniors and patients nationwide. They are a family-operated business with a compassionate, community-focused culture dedicated to improving the lives of others.
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.
Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow across batch, streaming, and real-time workloads.
Drive data platform evolution including data lake, event instrumentation, data quality, and governance for systems like Kafka, Airflow, Druid, and EMR on EKS.
Implement data governance and privacy solutions, and build agent harnesses that encode engineering standards into AI tools.
Webflow is an agentic web marketing platform that helps marketing teams build, manage, and optimize high-performing web experiences. The company values grit, speed, and craft, and fosters a culture of ownership and reinvention.
Build and operate data pipelines into Google BigQuery using incremental loading and change data capture.
Develop bronze, silver, and gold datasets for enterprise reporting and analytics.
Partner with BI, data science, engineering, and business teams to deliver high-quality data.
Vultr provides high-performance cloud infrastructure including compute, GPU, bare metal, and storage solutions across 33 global data centers. It has grown into a leading privately-held cloud infrastructure company, serving hundreds of thousands of customers in 185 countries, with a $3.5 billion valuation.
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.
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.
Design and build the storage layer that preserves source disagreement and history rather than resolving them away at write time.
Implement provenance and lineage across every node and edge against the platform's evidence-record contract.
Carry match confidence and uncertainty forward through the platform to support point-in-time questions about entity beliefs.
DEFCON AI is an insights company that uses artificial intelligence, mathematical optimization, and data analytics to help customers anticipate and mitigate disruptions. The company offers a fully remote, results-based culture with comprehensive benefits and a focus on secure government cloud environments.
Build and evolve a self-service data platform for Product, Engineering, and GTM teams
Define data quality standards, SLAs/SLOs, monitoring, and incident response while managing access and PII
Establish canonical data models, metric definitions, planning processes, and lead the Data team
LocalStack provides secure local cloud sandboxes that simulate cloud environments for AI agents and software developers. The fast-growing Series A company has a global remote team and a culture of care, ownership, openness, courage, and excellence.
Transform an established data and ML platform into a scalable, self-service environment.
Build and improve CI/CD pipelines, infrastructure-as-code modules, and reusable tooling.
Work across data engineering, backend, and infrastructure to support a global shipping platform.
A partner company operating a global shipping and fulfillment platform is hiring a Data Platform Engineer. The company has an experienced Data & AI team with established engineering standards and a culture that values technical judgment, accountability, and continuous improvement.