We are seeking a talented and motivated data engineer to join our team who will be responsible for designing, developing, and maintaining our data infrastructure and developing backend systems and solutions that support real-time data processing. This role involves collaborating with cross-functional teams to ensure data reliability and scalability.

As a Staff Data Engineer at Later, you will be at the forefront of designing and scaling our data platform, integrating multiple data sources, and ensuring high availability, efficiency, and security. You will drive architectural decisions, optimize large-scale data processing, and develop real-time analytics infrastructure.

Lead the data engineering team in building and maintaining high quality data assets, tools, and processes to empower internal and external customers. Tasked with ensuring the company is building a high-quality, scalable, and sustainable data infrastructure, that can adapt to new data sources and serve all data consumers. Work cross-functionally with various teams to enable data-driven decisions.

Drive Data Engineering efforts, lead a cross functional team of Data Engineers, own, enhance and update Data Engineering processes and standards, understand company needs, and own and execute critical projects on our Data Engineering roadmap within the Engineering department reporting to the Director of Data Management and Information Security.

Develop scalable and efficient data pipelines to support analytics needs across the organization. Improve the performance, observability, and reliability of existing data systems. Collaborate with other teams to understand data needs and implement solutions that improve efficiency. Ensure system security and data privacy compliance.

Thrive Market's Data Engineering team is seeking a Senior Data Engineer to build high-impact products alongside their Data Strategy Team. In this role, you will orchestrate data engineering solutions, collaborate with technical teams, and resolve production data issues. This role needs someone who is excited about the mission and the tech behind the company.

Build efficient, high quality, integrated and increasingly real-time ETL/ELT pipelines to organize, collect, standardize and integrate data. Partner with engineering, data science, and business stakeholders to build data insights. Provide production support for data tools and data needs across the business.

You will be a key contributor to Red Canary's mission to harness data for securing organizations and by building and optimizing robust data pipelines and frameworks, you will ensure that their platform continues to deliver actionable, data-driven insights to their customers and solve complex data challenges.

Join Fleetio's data and analytics team to help build the next generation of their data platform and product. Responsible for the design and implementation of their data platform, building data products for marketplaces, integrations, and analytics. Work encompasses the full spectrum of data engineering while crossing over into areas of software and analytical engineering.

Become a key contributor to the team and take responsibility for the success of various subsystems. Participate in medium to large impact team initiatives, and within a year, lead the execution of such projects. Assist with interviewing potential teammates. Create technical designs that proactively address cost efficiency, security, and observability.