Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow across batch, streaming, and real-time workloads.
Contribute to the evolution of the data lake and platform, including ingestion, processing, storage, and serving patterns.
Define and improve data quality, observability, reliability, and governance standards across data systems.
Webflow is an agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences. The company is a growing, privately held organization that values grit, speed, and craft.
Build end-to-end data products using Databricks, Delta Lake, SQL, Python, and PySpark.
Design and maintain batch, streaming, and near-real-time pipelines with Kafka and event-driven architectures.
Develop REST APIs, backend services, and lightweight applications while ensuring data governance and scalability.
This partner company focuses on data and technology solutions, hiring a Senior Data Engineer to build production-grade data products. The company's size and culture are not explicitly detailed, but the role emphasizes collaboration, remote work, and modern tech stacks.
Build and support batch and real-time data pipelines using Databricks and Azure.
Tune queries over billions of rows and perform root cause analysis for data issues.
Provide consultation and lead implementation of complex data programs with documentation.
Valtech is an experience innovation company that helps brands unlock new value through data, AI, creativity, and technology. They have a global workforce and a culture that fosters creativity, diversity, and autonomy.
Build automation and Infrastructure as Code for scalable, self-service database provisioning and operations.
Ensure reliability and performance of relational databases like PostgreSQL and Aurora through deep expertise.
Collaborate with engineering teams to integrate data pipelines and reduce operational toil across diverse datastores.
Gemini is a global crypto and Web3 platform founded in 2014, offering crypto products in over 70 countries. As a publicly traded company, it focuses on bridging traditional finance with the cryptoeconomy and scaling engineering teams.
Build and operate change-data-capture pipelines from PostgreSQL into Azure using Kafka Connect and Debezium.
Configure, deploy, and scale connectors end-to-end, covering connector setup, task management, offsets, schema history, and snapshot strategy.
Monitor and troubleshoot the platform in production, handling connector failures, task rebalances, and throughput issues.
Software Mind develops solutions that make an impact for companies around the globe. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Maintain and monitor Kafka, Hadoop, Presto, and RDBMS systems.
Ingest, validate, and process internal and third-party data flows.
Build Kafka consumers using Spark Streaming for near-real-time aggregation.
PulsePoint sits at the intersection of healthcare and adtech, helping brands interpret health journey signals. We are 300+ employees, growing, and a leading player in the US healthcare ad market.
Design, build, and maintain scalable event-streaming pipelines that ingest data from client systems and third-party sources.
Develop and operate analytical databases and data models optimized for high-volume event workloads and low-latency access.
Build production-grade services in Elixir and/or Python for event processing, transformation, and integration.
This company is building data infrastructure for high-volume client and internal event data. They are establishing a new data engineering team and offer a remote work environment with significant technical ownership.
Own the data layer and analytics architecture, including schema and data model for analytical data.
Find and fix database performance and scaling problems under concurrent customer-facing load.
Design and build a tiered analytics platform spanning system of record, low-latency serving, and batch/ML tiers.
Oscilar builds an AI Risk Decisioning Platform that helps banks, fintechs, and digital organizations manage fraud, credit, and compliance risk. The company is mission-driven and remote-first, with a team of industry veterans from Meta, Uber, Citi, and Confluent.
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.
Serve as a senior technical leader defining architecture, engineering standards, and best practices for the enterprise data platform.
Drive platform modernization by partnering with engineering leadership to build scalable, reliable, and well-governed data systems.
Lead technical design processes, conduct design reviews, and mentor engineers on best practices and technical leadership.
Walker & Dunlop is one of the largest providers of capital to the commercial real estate industry, enabling real estate owners and operators to bring their visions of communities to life. The WDTech team is a group of collaborative and highly skilled technology professionals committed to innovation and disrupting the old-fashioned real estate industry.