199 open roles, from companies hiring remotely around the world. Every role links to the employer's own application.
Join the Revenue Operations team to bridge business strategy, analytics, and engineering. You will build reliable solutions that enhance efficiency and intelligence for go-to-market functions. The focus is on implementing AI-driven automations to support sales, marketing, and customer success teams.
You will join an early-stage team focused on AI supply chain solutions. Your primary responsibility is to own integrations that ingest customer data into the platform and safely write decisions back to systems of record. The work requires designing near-real-time syncs that handle large data volumes without manual intervention. You will collaborate directly with customer operators and IT teams to scope, deliver, and maintain these critical connections.
As the first engineer in a lean marketing team, you will design and build the growth stack rather than just maintaining it. You will automate manual processes and unlock unused data across paid marketing, lifecycle management, and sales handovers. Your work directly supports business outcomes by enabling faster experimentation and personalized customer journeys.
Join the Data Engineering Team at Juniper Square to help unify technology and fund administration services for private markets. You will build pipelines from multiple sources, shape analytics products, and act as a technical expert on data matters as the team scales.
Join Kraken’s Finance Data Engineering and Analytics team to build trusted financial data products. You will work at the intersection of data engineering and accounting, creating automated workflows for reconciliations and reporting. Your work will reduce manual effort in the financial close process by leveraging automation and AI-assisted tools. You will collaborate with Finance and Engineering stakeholders to ensure data reliability and traceability.
Join the Finance Data Engineering and Analytics team at Kraken to build trusted financial data products. You will work at the intersection of data engineering and accounting, creating automated pipelines and models to streamline the financial close process. The role involves partnering with Finance and Engineering teams to transform complex financial data into reliable insights. You will use automation and AI-assisted tools to reduce manual work, improve reporting accuracy, and support decision-making across the organization.
Join Pleo's Product Intelligence team to establish trustworthy, self-serve product data. You will own the data modelling layer, including dbt models and metric definitions, while migrating from legacy tools like Looker to a modern stack featuring BigQuery and Omni.
In this role, you will translate business reporting needs into clear data product specifications. You will design curated datasets, fact and dimension models, and semantic structures to support self-service analytics. You will partner with data engineers to shape upstream pipelines and implement quality controls. Your work ensures that data services are fit for downstream consumption and trusted by stakeholders.
Horizontal is looking for a Principal Data Engineer to lead the modernization of its enterprise data platform. You will reverse-engineer complex existing solutions and migrate validated workloads from Azure Synapse Analytics to a Databricks lakehouse environment. The team focuses on maintaining business-critical data accuracy during transition, strengthening governance frameworks, and eliminating technical debt through robust re-engineering practices.
Join the Data Intelligence & Analytics Team to scale development efforts on Platform Tooling initiatives. You will build data application tools and frameworks that empower internal teams, working closely with Data Engineers to maintain and enhance data pipelines written in Go. The culture values curiosity over bureaucracy, encouraging the use of AI-native tools to solve complex problems. You will contribute to an evolving platform architecture, ensuring scalability, observability, and reliability while sharing knowledge across the team.
You will design and maintain robust data pipelines and ETL processes using GCP native services like BigQuery and Dataflow. The team focuses on modernizing federal data landscapes to enable advanced analytics and secure data-driven decision-making for critical objectives.
You will develop and maintain scalable data pipelines while designing data lake and warehouse architectures. The role involves collaborating with analysts and stakeholders to model datasets and enable self-service analytics capabilities.
This contract role targets an early-career engineer who integrates AI tools into their daily workflow. You will build and maintain data pipelines alongside senior engineers, using AI for scaffolding and debugging while ensuring rigorous validation of all output.
DAFgiving360 seeks a Manager, Data Engineering to design and evolve trusted data solutions that support analytics, automation, and AI capabilities. You will collaborate across multiple teams to improve data reliability, simplify complex ecosystems, and strengthen governance practices. This role combines hands-on engineering with strategic planning to deliver modern data capabilities. The organization emphasizes in-office collaboration and expects the selected candidate to work on-site at the specified location.
Join LanceDB to expand the reach of Lance and LanceDB within the data infrastructure ecosystem. You will work at the intersection of high-performance computing and big data, contributing to scale, performance, and usability improvements for an AI-native platform used by companies like Netflix and Midjourney.
You will sit at the center of Horizon3's data strategy, connecting raw product data modeling with company-wide trust and usage. Working closely with Data Engineering, Governance, and Product teams, you will shape the canonical product data layer and turn it into decision-ready assets. The role emphasizes building scalable ELT pipelines, defining metrics for certification, and ensuring compliance with US Federal frameworks like FedRAMP. You will enable non-technical stakeholders to query data confidently while maintaining high standards for documentation and quality.
Join Horizon3 to design and own the data platform supporting business-critical pipelines for account provisioning and product analytics. You will expand infrastructure across multiple regions with a special focus on Federal workloads, evaluating lakehouse platforms and defining data contracts.
Join the Data Engineering team at GameChanger, where you will build the platform that powers analytics for youth sports communities. As a Staff Engineer, you will set multi-quarter technical direction, architect robust data systems, and drive the adoption of AI-assisted development practices. You will partner with engineering and business teams to anticipate needs, improve system performance, and enable self-service capabilities. This role requires strong communication skills to influence design decisions and mentor colleagues while staying hands-on with code.
Join the Evidence Generation team at Viz.ai to engineer the data foundation for real-world health studies. You will design version-controlled pipelines that convert messy EHR extracts into clean, audit-ready datasets, ensuring rigorous quality control from ingestion to data lock. Your work directly supports proving better patient outcomes through accurate, reproducible clinical data.
Join Gravie to engineer a streaming data platform that transforms operational data into canonical models for applications and agentic workloads. You will own the platform in production, ensuring it meets strict latency and throughput SLOs while handling sensitive health information securely.
Join Meta's data engineering community to shape the future of people-facing and business-facing products. You will design and build extensive datasets, helping craft experiences for billions of users while solving complex data challenges at scale. In this position, you will collaborate with software engineering, data science, and product management teams. Your work will focus on optimizing growth, strategy, and user experience through robust data infrastructure and insightful analytics.
We are looking for an experienced Lead Informatica MDM Developer to design, develop, and enhance enterprise Master Data Management solutions. You will leverage Informatica MDM, IDQ, and IDMC platforms to manage Golden Records, ensure data quality, and handle integrations. The role demands strong expertise in Informatica MDM architecture and AWS-based solutions. You will provide technical leadership, support production environments, and coordinate delivery activities between onsite and offshore teams.
You will serve as the technical lead for the Snowflake environment, covering Data Lake, Data Warehouse, and Data Mart layers. Your main goal is to support and advance the Enterprise Factory Data Lake by removing technical roadblocks for developers and ensuring timely data product delivery.
You will design, build, and maintain robust data processing pipelines for extraction, transformation, and loading. The role requires developing scalable solutions that enhance data flow and enable faster analysis for end-users across the organization.
Join Kin's data team to design production-grade pipelines and enforce data quality standards for their insurtech platform. You will bridge the gap between raw source systems and downstream analytics, ensuring accurate, secure data for Finance, Marketing, and Product teams. The role involves collaborating with App Engineering and Analytics teams to translate ambiguous needs into well-modeled datasets. You will also mentor junior engineers and leverage AI tools to enhance engineering efficiency and observability.
You will lead the implementation of cloud-first data solutions that support Finance priorities while aligning with enterprise architecture. The role requires translating business strategy into technical designs, ensuring data governance, and managing the full lifecycle from design to operationalization.
Join Truelogic to support a leading global insights and strategy firm at the intersection of entertainment and technology. You will build robust data pipelines, integrate diverse data sources, and ensure high-quality data delivery for client teams and data scientists.
Join Talan, an international consulting group focused on innovation and business transformation. As a Backend Developer, you will collaborate with a multidisciplinary team to deliver high-quality, business-critical data solutions using modern technologies.
Join an international team building data solutions for a new digital banking platform. The project serves markets in Germany and Italy, requiring cross-border collaboration within a diverse data team.
Join the team managing petabyte-scale sensor and system data generated by an autonomous-driving fleet. You will own critical parts of the data path, ensuring reliability from high-throughput vehicle recording to efficient access for machine learning and analytics. The work involves solving systems challenges across resource-constrained vehicle computers and large-scale offline infrastructure. We welcome engineers with backgrounds in systems, robotics, storage, or data infrastructure.
Join H-E-B Digital Technology to reinvent the customer digital experience in retail. As a Senior Data Modeler, you will apply advanced techniques to structure data systems, ensuring integrity and supporting analytics across large-scale infrastructure.
Join the FDL - Ecomm team to develop scalable software solutions for SAP posting and eCommerce data reporting. You will blend traditional data engineering with advanced AI capabilities, including generative AI, to enhance development efficiency and support business goals. The team emphasizes technical excellence, continuous improvement, and a product-driven approach to deliver high-quality outcomes.
You will manage Addi’s marketing data infrastructure, ensuring seamless integrations with tools like Braze and AppsFlyer. The team prioritizes using AI agents as the default workflow to make data self-service and efficient for Marketing and Growth teams. Your goal is to deliver trusted data for campaign measurement and acquisition tracking.
Join the IT Data & Analytics Team as a Senior Data & Analytics Engineer to help modernize the analytics platform. You will partner with business leaders to define roadmaps, gather requirements, and deliver scalable capabilities using cloud technologies. The role requires a blend of business acumen and technical expertise, acting as a trusted advisor while remaining hands-on with architecture, modeling, and development.
You will lead the development of the data platform that powers Lyric's AI agents and products. The core challenge is building a robust semantic layer, including entity models and knowledge graphs, that allows reliable querying by automated systems. This is a principal individual contributor role where you will define technical direction, write production code, and ensure system correctness and reliability across a multi-tenant environment.
Join the Data Ingestion team at Horizon3 to design and operate pipelines that transform raw pentest output into queryable data for the NodeZero platform. You will build ETL systems in Go or Python, normalizing heterogeneous scan data and pushing findings to graph and relational stores. The team collaborates closely with Asset Inventory and Data Platform groups to ensure data correctness and throughput.
Join Deepgram as one of the first engineers on a new team dedicated to building a governed decision layer. You will transform warehouse data into semantic models and tools that allow both humans and AI agents to retrieve accurate answers. This role emphasizes modeling judgment and correctness over traditional data ingestion tasks.
Join Ford Motor Company to design, develop, and maintain scalable data ingestion and curation pipelines. You will ensure data is standardized and optimized for analytical use while collaborating with cross-functional teams to define cloud data engineering best practices.
BestX is looking for a Senior Data Architect to lead the design of its next-generation cloud-native data platform. You will leverage Databricks, Snowflake, and modern engineering practices to support multi-asset Transaction Cost Analysis, analytics, and reporting capabilities. The role combines strategic architecture with hands-on engineering, requiring you to evaluate emerging technologies, prototype solutions, and implement scalable production systems. You will work closely with quantitative researchers and product teams to translate business needs into technical reality.
Join Welltech, a global wellness technology company behind apps like Muscle Booster and Yoga-Go, serving over 25 million users. As a Senior AdTech Analytics Engineer, you will own the infrastructure that delivers conversion events to ad networks, ensuring high-quality signal delivery for performance marketing. You will work at the intersection of marketing, product, and data engineering, partnering directly with ad network representatives to improve campaign performance through better measurement and tracking implementation.
Join Welltech, a global wellness technology company behind apps like Muscle Booster and Yoga-Go. You will own the delivery of conversion events to ad networks, ensuring signal quality drives performance marketing success. This position sits at the intersection of marketing, engineering, and privacy.
You will design and implement the data architecture powering products that provide actionable insights to cardiologists and care teams. This position requires building secure, efficient data systems that support population health efforts and improve patient outcomes.
Join the Data Engineering & Architecture team as a Lead Data Engineer. You will design and improve pipelines and infrastructure, ensuring data flows reliably from ingestion to delivery. The role combines technical execution with stakeholder collaboration to make data accessible and trustworthy for the entire organization.
As a Data Engineer II, you will independently design, build, test, and deploy scalable data pipelines, integrations, and reusable platform components. You will translate business and analytical requirements into secure, reliable solutions while partnering with data, technology, and business teams to enhance data accessibility and quality.
As a Data Engineer II, you will independently design, build, test, and deploy scalable data solutions. You will translate business requirements into secure technical designs while partnering with data, technology, and business teams to enhance data accessibility.
You will strengthen the data foundation by creating consistent definitions and connecting operational and financial data across systems. Working with the Lead Analytics Engineer, you will ensure reported results tie back to source records while supporting analytics and automation.
Join the Data team at WorkOS to manage the end-to-end internal data platform. You will handle ingestion, transformation, governance, and consumption layers, ensuring accurate insights for both human teams and AI agents. The team operates with high autonomy, documenting processes for agent execution and prioritizing rapid experimentation.
Truelogic is seeking a Senior Data Architect to lead the design, modeling, and optimization of a Snowflake and dbt data platform. You will transform raw S3 files and event data into core tables and dimensional marts that support analytics and data science teams. The role requires hands-on engineering of billion-row incremental models, solving complex SQL challenges, and administering Snowflake environments. You will partner with software engineers to establish data contracts and ensure data correctness, performance, and security at scale.
You will own the design, modeling, and optimization of data infrastructure using Snowflake and dbt. The work involves transforming raw event data from S3 into reliable datasets for analytics and data science teams. This hands-on architectural role requires solving complex SQL problems and engineering incremental models for billion-row tables. You will partner with software engineers to establish data contracts and ensure performance, security, and cost efficiency at scale.
You will own the architecture, modeling, and ingestion processes for a high-volume data platform. Working with a market research firm, you will turn raw S3 files and event streams into structured core tables and dimensional marts that support business intelligence and advanced analytics.