Data Engineering Manager

SummaryAt Storable, we are dedicated to revolutionizing the storage industry. Our advanced platform empowers businesses to efficiently manage, track, and expand their self-storage operations. We are in search of a talented Data Engineering Manager to lead our data-centric team. Storable is committed to harnessing the latest technologies to enhance data efficiency, accessibility, and insights, enabling our team to make informed decisions that drive growth.As the Data Engineering Manager, you will be instrumental in directing and refining our data operations, ensuring that data is well-organized, accessible, and effectively managed throughout the organization. You will lead a skilled team, collaborate with cross-functional departments, and spearhead strategies to improve data quality, availability, and security.Key Responsibilities:Lead Data Management Strategy: Develop and implement the data management vision, strategy, and best practices, ensuring they align with Storable's business objectives.Oversee Data Pipelines: Design, implement, and maintain scalable data pipelines with industry-standard tools to efficiently process and manage large-scale datasets.Ensure Data Quality & Governance: Establish data governance policies and frameworks to maintain data accuracy, consistency, and compliance across the organization.ETL Development: Construct, optimize, and manage ETL pipelines for ingesting, transforming, and delivering extensive datasets from diverse sources.Workflow Orchestration: Manage and schedule complex workflows utilizing Apache Airflow.Query Engines & Processing Frameworks: Utilize Trino (Presto), Apache Spark, and other tools.Manage Cross-Functional Collaboration: Work alongside engineering, product, and business teams to ensure data is accessible and actionable, driving informed decision-making.Optimize Data Infrastructure: Employ modern data tools and platforms (e.g., AWS, Apache Airflow, Apache Iceberg) to establish an efficient, reliable, and scalable data infrastructure.Monitor & Improve Performance: Actively oversee data processes and workflows, troubleshoot issues, and refine performance to ensure high reliability.

Upside is looking for an Engineering Manager to lead its Data Engineering team in Austin. This manager oversees engineers who create and maintain data solutions that drive business growth. The role helps shape how data is managed and used throughout the company, setting standards for engineering practices and technical direction. Key responsibilities Lead a team of data engineers in designing and delivering data products Promote strong practices in data management, architecture, and analytics Encourage adoption of new technologies and methods to advance data capabilities Support the professional development of team members and help engineers build their skills Location This role is based in Austin.

About the Role Stripe is hiring an Engineering Manager for the Data Transformation team. This leader will guide a group of skilled engineers, focusing on projects that shape Stripe’s data strategies and infrastructure. The work centers on building and improving data systems that support business operations at scale. What You’ll Do Manage and mentor engineers, helping them grow and succeed Work with teams across the company to design data solutions Oversee the development and implementation of scalable data infrastructure Support the team in delivering projects that improve Stripe’s use of data

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.

Join our innovative team as a Data Engineering Manager at Stratacareers, where you will lead a dynamic group of data engineers dedicated to building robust and scalable data infrastructure that empowers leading healthcare providers across the nation.In this pivotal role, you won’t just be responsible for coding; you will also define strategic initiatives, mentor your team, and drive the transformation of data into actionable insights that propel our clients’ missions forward. You will play a key role in scaling our data platform, integrating cutting-edge technologies, and collaborating across departments to ensure our data engineering efforts are efficient and aligned with future goals.If you thrive on mentoring engineers, tackling technical challenges, and enhancing processes while staying hands-on with data, we would love to hear from you!

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.

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 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.

Join Iru as a Data Engineering ManagerIru is at the forefront of AI-powered security and IT solutions, empowering the world’s most dynamic companies to safeguard their users, applications, and devices. Designed for the AI era, Iru integrates identity and access management, endpoint security, and compliance automation into a seamless platform, delivering control and efficiency back to IT and security teams.Supported by top-tier investors including General Catalyst, Tiger Global, and First Round Capital, Iru secured $100 million in funding in July 2024, achieving a valuation of $850 million. Our esteemed clientele features notable companies like Notion, Replit, and AWS, and we are recognized as one of Forbes’ America’s Best Startup Employers for 2025 due to our commitment to employee engagement and satisfaction.Your Role:We are seeking a passionate Engineering Manager to lead our talented data engineering team. This player-coach position involves both team leadership and active participation in technical initiatives. Expect to allocate approximately 40–60% of your time to hands-on design, development, and evaluation of data pipelines, models, and infrastructure in collaboration with your team. You will report directly to the Director of Data and work closely with cross-functional stakeholders to ensure our data platform evolves in line with the company’s growth trajectory.This role offers significant influence; the systems you architect and the decisions you make will fundamentally shape how our company—and its AI capabilities—perceives its products, customers, and performance metrics.About Our Team:The Data Engineering team is responsible for the infrastructure and pipelines that drive data-driven decision-making across our organization. We aggregate, transform, and deliver centralized data from our diverse product portfolio, enabling Data Science, Analytics, Finance, and Engineering teams to operate swiftly and with confidence in their insights.Our work is vital for the company’s AI and machine learning endeavors. The integrity, timeliness, and organization of the data we provide directly impact the potential of the models and systems built upon it. If you’re eager to create significant leverage for AI at scale, this is where it all begins.We utilize a modern tech stack that includes Kafka, Airflow, Snowflake, dbt, Python, SQL, and AWS. We are at a pivotal moment in our journey: having established a solid foundation, we now seek strong leadership to steer the next phase—modernizing our architecture, enhancing data quality, and improving collaboration across the organization.

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.

Roblox Corporation seeks a Senior Engineering Manager - Data Engineering to lead a team dedicated to building and refining data architecture and analytics solutions. This position plays a key part in designing and maintaining the systems that handle data for the Roblox gaming community. Role overview This leadership role centers on guiding a talented group of engineers as they develop and enhance data platforms. The work supports the analytics needs of Roblox, ensuring reliable and scalable data systems. Location This role is based in San Mateo, CA, United States.

At Carrum Health, we are revolutionizing the healthcare landscape by transforming payment systems, service delivery, and patient experience. If you are eager to reshape healthcare by eliminating surprise bills, ensuring high-quality care, and reducing costs, all while thriving in a dynamic, innovative atmosphere, we want to hear from you.Founded in 2014, Carrum Health has redefined the Centers of Excellence (COE) within the digital health sector. With 95% of the US population residing within 50 miles of a Carrum COE and our providers ranking in the top 10% nationally, our impact is significant. Our strategic execution has garnered recognition from venture capitalists, raising over $96M from esteemed investors like OMERS, Tiger Global Management, and Wildcat Ventures. Our achievements have been validated in a 2021 RAND Corporation study and highlighted in a Harvard Business School case study.We are on the lookout for an experienced Senior Data Engineering Manager who will lead, mentor, and develop our Data Operations and Engineering team. The perfect candidate will possess a blend of advanced data engineering expertise and exceptional leadership abilities, coupled with strong cross-functional communication skills. You will play a vital role in establishing our data standards, best practices, and the overall data engineering strategy. If you thrive in a fast-paced startup environment and have a track record of successful implementation, we encourage you to apply.This is a full-time position with a salary range of $190,000 - $220,000 based on experience and location.

Join our dynamic team at Multimedia LLC as an Engineering Manager for our Data Platform. In this remote role, you will lead innovative projects that leverage cutting-edge technology to enhance our data infrastructure. You will collaborate with cross-functional teams to design scalable solutions that drive business success and improve data accessibility.Your leadership will foster a culture of continuous improvement, guiding your team in implementing best practices and ensuring high standards of quality in software development. We are looking for a visionary who is passionate about data engineering and is eager to make an impact in a fast-paced environment.

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 Our TeamAt DoorDash, we are committed to harnessing the power of data to inform critical business and product strategies. Our Data Engineering team is pivotal in developing robust database solutions that cater to diverse applications such as reporting, product analytics, marketing optimization, and financial assessment. By architecting effective data structures and warehouse solutions, this team lays the groundwork for data-driven decision-making at DoorDash. We also prioritize enhancing the developer experience through innovative tools that meet our fast-paced demands.We are seeking a passionate and visionary Data Engineering Manager to lead our expanding team of data engineers. This role is integral in coaching, guiding, and inspiring our team to leverage data as a strategic advantage for DoorDash.About the RoleAs the Data Engineering Manager, you will spearhead the development of enterprise-scale data solutions while serving as a technical authority in data architecture. Your leadership will empower a broader community of data engineers, data scientists, and DoorDash partners. You will cultivate a culture of engineering excellence, motivating engineers to produce reliable and scalable solutions. Additionally, you will be instrumental in building and nurturing a high-performing team, driving innovation in a dynamic and fast-evolving environment. This position is hybrid and requires you to be located in San Francisco, CA, Sunnyvale, CA, or Seattle, WA.You’re Excited About This Opportunity Because You Will…Lead and nurture a high-impact data team focused on business outcomes.Define and drive the technical and strategic vision for embedded pods and foundational enablers, ensuring scalability and interoperability.Champion continuous improvement in data architecture and development processes.Identify quick wins while strategizing for long-term engineering excellence, transforming complex systems into user-friendly data assets and reusable components....

At Garner, our mission is to revolutionize the healthcare economy by making high-quality and affordable care accessible to everyone.We are fundamentally transforming the U.S. healthcare landscape by collaborating with employers to redesign healthcare benefits through clear incentives and powerful, data-driven insights. Our innovative approach leads employees towards higher-quality, lower-cost care, establishing a system that benefits all stakeholders. Patients experience improved health outcomes, employers utilize healthcare dollars more effectively, and physicians are rewarded for delivering outstanding care rather than simply increasing the volume of procedures.Garner stands as one of the fastest-growing healthcare technology firms in the nation. Our solutions are trusted by some of the most sophisticated employers and providers in the industry, as we build a team of talented, mission-driven professionals eager to make a significant impact on healthcare at scale.About the Role:We are in search of a stellar Engineering Manager to lead the team responsible for our national healthcare provider rankings systems. Reporting to the VP of Health Intelligence Engineering, the ideal candidate will exhibit a strong sense of ownership, comfort in mentoring engineers across all experience levels, familiarity with distributed systems, and the ability to deliver complex technical solutions effectively.Working Environment:This position is based in our New York City office, requiring in-office work three days a week on Tuesday, Wednesday, and Thursday.Your Responsibilities:Provide technical leadership and deliver new features in line with Garner’s strategic goals.Take ownership of the core systems that generate provider rankings.Ensure high quality standards while promoting timely and efficient delivery.Balance the development of new features with the need to scale and optimize existing systems.Collaborate across different disciplines to identify bottlenecks and risks, propose mitigations, and communicate trade-offs.Advocate for data privacy and security in all data initiatives.Cultivate a high-performing, collaborative team culture through proactive leadership, mentorship, and talent development.Ideal Candidate Qualifications:5+ years of hands-on engineering experience, particularly in Big Data and distributed systems.1+ years of experience managing engineering teams, with a proven track record of building and mentoring high-performing teams.

Join our innovative team at Caribou as an Engineering Manager focused on Data and Platform Engineering. In this pivotal role, you will lead a talented team of engineers, driving the development of robust data platforms and engineering solutions that propel our business forward. You will collaborate with cross-functional teams to ensure the successful delivery of high-quality products and services that meet the evolving needs of our customers.

At Klaviyo, we celebrate the diverse backgrounds, experiences, and perspectives our team members—whom we affectionately refer to as Klaviyos—bring to our innovative workplace. We believe that everyone deserves an equitable opportunity for success and value the unique insights each individual contributes beyond conventional job qualifications. If you feel you are close to the mark but may not meet every requirement, we encourage you to apply. Curious about life at Klaviyo? Visit klaviyo.com/careers to explore how we empower creators to take charge of their own destinies.At Klaviyo, we thrive on overcoming complex engineering challenges and seek engineers who have specialized skills yet are passionate about building, owning, and scaling features from inception to completion, while overcoming any hurdles or technical challenges that arise. We inspire one another to step outside our comfort zones, embrace new technologies, and strive to make each day an improvement over the last.Team Overview:Klaviyo operates a cutting-edge real-time data analytics platform primarily developed in Python, designed to handle extensive scale and hosted on Amazon Web Services (AWS). The Data Automation team is responsible for creating tools and establishing best practices that empower our Data Platform, fueling core Klaviyo functionalities and generating insightful, data-driven results.As a foundational member of the Data Automation team, you will define both the technical and organizational vision for the team. Your leadership will guide the design and development of systems critical to our analytics infrastructure.Team Tech Stack:AWSTerraformPythonKubernetesClickhouseDynamoDBMySQLKafkaSparkFlinkAirflowHow You’ll Make an Impact:Lead and nurture a team of 7+ engineers to realize your data automation vision and roadmap.Coach engineers, oversee and review technical documentation, and articulate a phased approach to project execution.

Join Valorem Reply, an award-winning digital transformation agency dedicated to driving solutions in data-centric enterprises, IT modernization, customer experience, product transformation, and digital workplace innovation through the power of Microsoft technologies. We specialize in hyper-scale and agile delivery of unique digital business services, strategic business models, and design-focused user interactions, ensuring our clients experience secure and rapid transformations in their operations. We are currently seeking a passionate and skilled Manager for our Data & AI team. In this role, you will primarily concentrate on developing modern data platforms utilizing Microsoft cloud technologies like Fabric and Databricks for our diverse clientele. As a technical leader, you will help chart the technical course of our practice while staying abreast of the latest trends in data-focused technology. Strong communication ability is essential, as you will act as a trusted partner to our customers. A solid grasp of data governance and the ability to guide clients on frameworks is critical to success in this role. This position is ideal for individuals who thrive in collaborative settings, appreciate flexibility and autonomy in their work, and enjoy tackling complex challenges.