Data Engineer at LendingTree | Remote

Quick OverviewWe are seeking a visionary Data Engineering Manager to lead a talented team of data engineers in designing and implementing scalable data pipelines and platforms that empower analytics, data science, and strategic business decisions across Kin.About KinAt Kin, we strive to simplify and enhance the lives of homeowners, particularly in areas facing climate challenges, escalating costs, and outdated systems. Beginning with innovative homeowners insurance, we are expanding our offerings to encompass everything homeowners need to flourish. Leveraging data, cutting-edge technology, and compassionate human support, we're crafting products that are transparent, equitable, and instill confidence in homeowners during critical times.Founded in 2016, Kin is a fully remote company with a diverse team spread across over 35 states. Our services currently reach 13 states and are continuously expanding. Our commitment to disciplined growth, customer satisfaction, and sustainability has garnered significant recognition, including:Built In Chicago's Best Places to Work, Midsize Companies (2021-2026)Forbes' America's Best Startup Employers (2021-2024)Inc. 5000 Fastest-Growing Private CompaniesForbes’ Fintech 50 (2025-2026)Great Places to Work Certified (2024-2026)Most importantly, Kin is committed to creating a work environment where employees can engage in meaningful work with tangible impacts for our customers, communities, and each other. We invite you to explore how you can contribute to our ambitious growth, solid unit economics, profitability, and outstanding customer ratings. To learn more about our operations and what we are building, visit kin.com and see our culture in action.The RoleAs a Data Engineering Manager, you will oversee the development and evolution of the systems that support data across Kin. This pivotal role is designed to fortify the infrastructure that enables our Business Intelligence, Data Science, and Machine Learning teams to operate more efficiently, make informed decisions, and deliver significant value to our clients.You will manage a team of data engineers tasked with constructing reliable, scalable, and effectively governed data systems. In this phase of continued expansion and increasing data complexity, you will help define our data platform's scalability while balancing immediate operational needs with long-term technological investments.

About World Business Lenders (www.wbl.com)World Business Lenders (WBL) is a pioneering financial institution that offers short-term, collateralized commercial loans to small and medium-sized businesses across the United States, empowering them to thrive without the constraints of traditional funding. Our commitment to supporting entrepreneurs is unwavering.WBL boasts a 100% remote workforce, allowing us to harness talent from across the globe.Working hours typically span from 9:00 AM to 6:00 PM Eastern Time, Monday through Friday, with the possibility of extended hours based on operational needs.The role demands exceptional verbal and written communication skills in English.All applicants must be comfortable utilizing productivity monitoring systems.Resumes must be submitted in English.

We are seeking a dynamic and motivated Manager of Software Engineering (Data) to lead our talented engineering team at firstup. In this key role, you will oversee the design, development, and implementation of innovative software solutions focused on data management and analytics. You will work collaboratively with cross-functional teams to drive technology initiatives that align with our business objectives.The ideal candidate is an experienced manager with a proven track record of delivering high-quality software products and fostering a culture of continuous improvement within the team. This is a fully remote position, allowing you to work from anywhere in the United States.

Join Arbor as a Data Engineer and play a pivotal role in transforming data into actionable insights. In this fully remote position, you will collaborate with cross-functional teams to design, develop, and maintain robust data pipelines and architectures. You will work with advanced data processing tools and methodologies to ensure data integrity and accessibility.

We are seeking a talented and motivated Data Engineer to join our dynamic team at Merge API Integration Sandbox. This is a remote position where you will be responsible for designing, building, and maintaining scalable data pipelines that support our data infrastructure. You will work closely with data scientists and analysts to ensure that our data is accessible and usable for analytics and business intelligence purposes.

The climate crisis represents the most significant challenge of our era, yet it also opens up vast opportunities for innovation. At Overstory, we leverage advanced technologies to create a robust electrical grid that supports communities in the face of change.The grid is fundamental to our everyday lives, powering essential services like hospitals, preserving food, and keeping people connected. However, it faces immense pressure from extreme weather, outdated infrastructure, and increasing wildfire threats. This context makes the electric utility sector a critical arena for combating climate change.A major contributor to devastating wildfires and power outages is vegetation—specifically, trees and brush that come into contact with power lines.That’s where Overstory steps in. We harness AI and state-of-the-art satellite imagery to identify and prioritize vegetation-related risks before they escalate. By delivering vital analyses to utilities, we aid in preventing outages, mitigating wildfire threats, and facilitating the transition to a safer, more resilient grid.Our diverse team spans North America and Europe, collaborating with utility partners across the globe. We are a group of outdoor enthusiasts, artists, athletes, and adventurers from 15 different nationalities, united by our passion for solving complex issues and our commitment to climate action, believing that technology can and should serve the greater good.Join us in our mission to build a more resilient world together.The RoleAs the Data Engineering Manager, you will lead multiple cross-functional teams, overseeing approximately 10 data engineers and GIS specialists. You will empower teams focused on data processing and pipelines, enabling machine learning-driven product capabilities.Our product teams are diverse, typically comprising product managers, designers, engineers, and domain experts.You will be responsible for guiding the technical direction and delivery outcomes in your area. You will inspire your teams to set ambitious goals while providing extensive support, nurturing engineering talent, and fostering a collaborative environment conducive to excellence.Your primary focus will be on building high-performing teams and driving results through others. While you won’t be expected to code extensively, you should be prepared to engage technically when necessary and use your expertise to inform sound technical decisions.

Role Overview YipitData Inc. is hiring a Data Engineering Manager to guide a skilled group of data engineers. This fully remote position is open to candidates based in the United States. What You Will Do Lead and mentor the data engineering team, supporting their growth and development Design and implement data infrastructure that supports analytics and reporting Work with teams across the company to understand data requirements and build solutions that fit those needs Focus on improving the efficiency and scalability of data systems Collaboration This role involves regular collaboration with cross-functional partners to ensure that data engineering projects align with business goals and analytical needs.

Role Overview MediaRadar is hiring a Data Engineering Manager to oversee the development and upkeep of our data infrastructure. This position is fully remote within the United States. What You Will Do Lead a team of data engineers focused on building and maintaining efficient, reliable, and scalable data systems Guide the team in developing and improving our data infrastructure Support efforts to turn complex data into insights that help drive business decisions About the Team Work with a group of engineers who value collaboration and technical excellence. MediaRadar’s data team supports a range of projects that help shape the company’s direction.

Role overview Commonroom is hiring a Data Engineer to help shape how data is managed and used across the company. This is a fully remote position open to candidates based in the US. What you will do Build and maintain data pipelines that support business and product needs Contribute to new data solutions and improve existing systems

Role Overview trueml is hiring an Engineering Manager for the Data Platform team. This is a fully remote position open to candidates based in the USA. What You Will Do Lead and mentor a team of data engineers Guide the development and improvement of data systems Oversee data architecture and performance optimization Drive strategic projects for the data platform Work closely with other teams to deliver strong data solutions About the Team The Data Platform team at trueml builds and maintains systems that support data-driven decisions across the company.

Jobgether is hiring a Remote Senior Data Engineer based in Columbia. This position centers on designing and building data solutions that support business growth. The role involves close collaboration with teams across the company to improve data pipelines and strengthen data architecture, making sure information moves smoothly and remains accessible. Role overview This engineer will focus on optimizing systems and solving complex data challenges. The work includes refining existing processes and introducing improvements that help the company use data more effectively. What you will do Design and implement scalable data solutions Work with cross-functional teams to enhance data pipelines Improve data architecture for better flow and access Apply expertise in big data technologies to address technical challenges Who we’re looking for Experience with big data technologies Strong problem-solving skills Ability to collaborate with multiple teams Innovative approach to optimizing data systems

As a Data Engineering Manager at afresh, you will lead a dynamic team of data engineers in designing and implementing cutting-edge data solutions that drive business insights and improve operational efficiency. You will play a pivotal role in building robust data pipelines, ensuring data quality, and scaling our data architecture to meet the demands of our growing organization.Your leadership will guide our team in utilizing state-of-the-art technologies to transform raw data into actionable insights. Embrace the opportunity to foster a culture of innovation and collaboration while mentoring your team to reach their full potential.

Join Lyft as a Data Engineer and become a pivotal part of our team dedicated to enhancing transportation experiences. As a Data Engineer, you will be responsible for building and maintaining scalable data pipelines, ensuring data quality, and leveraging data to drive business insights. Your expertise will help us harness the power of data to improve our services and meet the needs of our customers.

Imagen Technologies is building an AI-driven teleradiology practice, combining a vertically integrated medical group with an in-house AI development platform. With over $200 million in backing from Google Ventures and major clinical networks, the company is scaling quickly across the United States. Imagen’s platform, already serving millions of patients, is projected to expand from 22 states and 2.7 million patients in 2025 to more than 35 states and over 5 million patients annually by 2027. The team has developed six FDA-cleared AI products focused on improving turnaround times and reducing diagnostic errors. Imagen is recognized as the fastest-growing teleradiology group in the country and aims to become one of the largest practices by 2026. Role overview This remote Engineering Manager, Data position centers on building and leading the AI Data Platform team at Imagen Technologies. The platform supports AI development for next-generation diagnostic tools, directly impacting patient care. The role involves both technical leadership and people management, with the expectation to transition fully into management as the team grows. The Engineering Manager will report to the Head of Engineering and collaborate closely with the Chief AI Officer, product leaders, clinical teams, and engineers across the company. What you will do Build and lead the team: Recruit, mentor, and develop a group of data engineers ranging from entry-level to mid-level. Set up team processes and foster a strong engineering culture from the start. Own the AI Data Platform: Take full technical and operational responsibility for the platform handling clinical imaging data and reports. Oversee ingestion, de-identification, transformation, and serving of data such as DICOM files, ensuring reliability, scalability, and security. Define and execute the technical roadmap: Set the direction for platform development. Prioritize scalability, new features, and technical debt in alignment with business goals. Ensure data quality and compliance: Build data quality frameworks, validation processes, and governance structures. Ensure all aspects of the platform comply with HIPAA and other relevant regulations. Drive cross-functional collaboration: Serve as the main point of contact for AI, product, clinical, and regulatory teams to maintain alignment and clear communication.

OmniData Technologies seeks a Manager, Data Engineering to lead a team in designing and building data solutions. This position is fully remote and open to candidates located anywhere in the United States. Role overview This role focuses on guiding a group of experienced engineers as they deliver data-driven solutions for various company projects. The Manager will provide direction, support team growth, and help ensure successful project outcomes. Location This is a remote position within the US. Candidates may work from any location in the country.

About Us:Zora is a revolutionary on-chain social network that empowers individuals to express themselves freely, connect with a diverse community, and unlock the potential of their creativity. We are committed to utilizing cryptocurrency to create a more equitable ecosystem for creators, fundamentally reimagining the power of the internet.Our goal is to make Zora accessible to everyone through an engaging, user-friendly, and rewarding consumer application. Our mission is to ensure that creating online is both free and valuable.About The Role:We are seeking a talented Lead Data Engineer to develop the data infrastructure that fuels our Trade Platform. As our on-chain social network expands, it is essential to have robust data systems capable of processing billions of trading events, calculating real-time earnings, optimizing liquidity, and identifying the best trading opportunities for our users. You will be working at the intersection of blockchain data, high-volume trading systems, and consumer social products to establish the data foundation that supports our creator economy.This is a high-impact position where you will take ownership of the complete data architecture for trading, from analyzing blockchain events and user activities to delivering real-time analytics to millions of users.What You'll Do:Design and build scalable data pipelines for ingesting, processing, and transforming blockchain data, trading events, user activities, and market signals at high volumes with low latency.Architect and maintain data infrastructure that powers real-time trading analytics, P&L calculations, leaderboards, market cap tracking, and liquidity monitoring across the platform.Manage ETL/ELT processes that convert raw on-chain data from various blockchains into clean, reliable datasets used by product, engineering, analytics, and ML teams.Create and optimize data models and schemas that support both operational systems (providing live trading data) and analytical use cases (analyzing market dynamics and user behavior).Establish data quality frameworks that include monitoring, alerting, testing, and validation to ensure pipeline reliability and data accuracy at scale.Collaborate with backend engineers to design event schemas, data contracts, and APIs that facilitate real-time data flows between systems.Partner with product and analytics teams to understand data requirements and translate them into effective engineering solutions.

Join Affinipay as a Senior Data Engineer and play a pivotal role in shaping our data-driven solutions. In this fully remote position, you will be responsible for designing and implementing robust data pipelines, optimizing data storage solutions, and ensuring data integrity across our platforms. Collaborate with cross-functional teams to analyze data requirements and deliver insights that drive business decisions.

Jobgether is looking for a Senior Data Engineer to join the team. This is a remote role based in Connecticut. Role overview This position focuses on designing, building, and maintaining data pipelines and architecture that scale as the company grows. The Senior Data Engineer will play a key part in shaping how data is collected, processed, and used throughout the organization. What you will do Design and develop scalable data pipelines Maintain and improve existing data architecture Support business decisions by ensuring reliable access to data Work to enhance product offerings through effective data solutions Location This is a fully remote position open to candidates based in Connecticut.

At virtuslab2, we are more than just a tech team; we are a community of passionate individuals dedicated to continuous improvement and innovation. Our work culture emphasizes a supportive environment where self-growth is prioritized and quality working conditions are guaranteed. We value trust and autonomy, believing in the philosophy of “measuring outcomes, not hours.” Come join us and experience this unique team spirit!Role OverviewAs a Data Engineer, you will play a pivotal role in shaping the architecture and requirements of our new platform. Your responsibilities will include implementing robust solutions, ensuring their operational success, and maintaining them post-launch. You will introduce data governance and management practices, facilitating accurate and comprehensive reporting that was previously unattainable.You will actively uphold engineering best practices, promote data governance standards, and utilize open standards. Your tasks will involve constructing data ingestion and processing pipelines while collaborating with stakeholders to define requirements and establish data quality metrics.