Data Engineering Manager

Join our dynamic team at IMC Trading as a Data Platform Operations Engineer focused on performance. In this pivotal role, you'll leverage your data expertise and operational skills to enhance the reliability, accuracy, and efficiency of our data systems that underpin performance analysis and strategic decision-making.As a production-facing engineer, you will collaborate closely with the Performance Team and key stakeholders to ensure that our data workflows are robust, observable, and efficient.Key Responsibilities:Oversee the operational health of the Performance Team's data platform.Monitor and maintain ETL processes and data pipelines to ensure correctness, timeliness, and stability.Design and implement data quality checks, reports, and alerts tailored to performance data.Analyze and resolve data issues and pipeline failures, identifying root causes to prevent recurrence.Manage and troubleshoot GitLab CI/CD pipeline challenges related to performance data workflows.Oversee workloads and resource usage, identifying and rectifying imbalances and bottlenecks.Develop and maintain operational tools, automation, and runbooks.Continuously optimize data pipelines and workloads to enhance performance and resource efficiency.

Join Akuna Capital as a Performance Engineer:At Akuna Capital, we pride ourselves on being a forward-thinking trading firm that emphasizes collaboration, cutting-edge technology, and data-driven solutions. As an options market-maker, our mission is to provide competitive quotes for buying and selling, which is supported by our commitment to designing and implementing innovative low-latency technologies, trading strategies, and mathematical models.Founded by our visionary partners in Sydney, we established our first office in 2011 in Chicago, the heart of the derivatives industry. Today, we are proud to have expanded our presence with additional offices in Sydney, Shanghai, London, and Singapore.Your Role: As a key member of our Performance Engineering Team, you will adopt a holistic and rigorous approach to enhance software, hardware, and strategy performance. This includes increasing our competitiveness across global exchanges. Your responsibilities will include identifying optimization opportunities and executing improvements through software enhancements, hardware analysis, and performance benchmarking.

About Dataiku Dataiku provides a platform for building, deploying, and managing AI and analytics at scale. The company helps organizations design and operate analytics, machine learning, and AI agents with transparency and control. Dataiku connects the enterprise AI stack, supporting centralized governance and multi-vendor environments. Learn more on the Dataiku blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring a Data Engineer II for the Enterprise Data and Analytics (EDA) team. This role focuses on delivering reliable data to drive analytics, AI, and insights for teams across the company. The Data Engineer II will play a central part in supporting the Data Platform, which serves centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users. What You Will Do Contribute technical expertise to the Data Platform, working with Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL, with DataOps processes integrated into GitHub Actions and Dataiku. Collaborate with engineers from other teams to deliver solutions across various technical domains. Promote engineering best practices within the EDA team and the broader Analytics Community. Support analytics and AI initiatives for a wide range of stakeholders. What We Look For Experience with Snowflake, Dataiku, GitHub, Python, and SQL. Understanding of the software development lifecycle and DataOps methodologies. Strong collaboration skills and the ability to work across teams. Clear verbal and written communication. Analytical mindset and curiosity. Locations This position is open to candidates in the Netherlands (remote), Spain (remote), United Kingdom (remote), and the following US cities: Atlanta, Boston, Charlotte, Chicago, Cincinnati, Miami, Milwaukee, Minneapolis, Philadelphia, Raleigh, St. Louis, and Tampa.

Discover OktaOkta is recognized as the leading identity management solution, empowering individuals to securely access technology anytime, anywhere, across any device or application. Our versatile products, namely the Okta Platform and Auth0 Platform, ensure secure access, robust authentication, and streamlined automation, placing identity at the forefront of business security and growth.At Okta, we embrace diverse perspectives and experiences. We're not searching for someone who fits a specific mold – we value lifelong learners and those who can enhance our team with their unique insights.Join us in creating a world where identity is truly yours.Are you driven by the challenge of solving intricate data problems and wish to make a significant impact? Do you want to collaborate with a dynamic team of cloud engineers and architects? If so, we want to meet you!The Auth0 platform handles over 100 million logins daily for customers worldwide, and our growth trajectory is remarkable! The Data Platform team is responsible for building and managing essential data services that underpin this platform, ensuring scalability, reliability, efficiency, and operational excellence. As the Senior Manager for this team, you'll collaborate with engineers across the organization, influence the platform roadmap, and create foundational infrastructure that will support Auth0's growth for years to come.If you thrive in nurturing high-performing teams and excel in cross-organizational collaboration, you will find this role to be a perfect match!Your Responsibilities...Lead and cultivate an inclusive, diverse agile software development team focused on delivering value while possessing deep expertise in distributed systems, cloud infrastructure, and site reliability engineering.Foster a culture of discovery, learning, and experimentation within a geo-distributed team through continuous coaching and mentoring.Work closely with architects and engineers to design highly scalable, robust, and extendable services using modern and proven technologies such as Go, Node.js, Kubernetes, Docker, AWS, and Azure.Build and manage data streaming teams utilizing an event-driven architecture and Kafka.Collaborate with product management and engineering leadership to define a platform roadmap that drives the next generation of identity products. Lead the planning, execution, and delivery of data platform services.Implement process improvements that enhance operational excellence and drive efficiency during a significant growth period.

Company OverviewZoro.com stands as a premier eCommerce platform, providing an impressive inventory of nearly 12 million tools, parts, and supplies tailored for our business clientele. Established in 2011, we have revolutionized the B2B industry with a B2C-like experience and remain pioneers in digital innovation, merging technology with distribution. With rapid growth that has propelled us to over $1 billion in annual revenue, we are just beginning our journey!Position Overview:The Foundational Engineering team is dedicated to empowering engineering groups to develop, deploy, and manage software with safety and efficiency. This is achieved through the creation of shared platforms, automation, and best practices that mitigate friction, control risk, and enhance productivity beyond mere headcount. Zoro’s engineering squads are responsible for their cloud infrastructure, and the Foundational Engineering team supports them in doing so effectively.As the Director of Platform Engineering, you will steer and implement the technical strategy for our core platform infrastructure and services. Leveraging your extensive engineering knowledge, you will guide significant architectural decisions that align with our corporate strategy, ensuring our platforms are robust, scalable, secure, operable, and rigorously tested, all while maintaining a strong compliance posture.This role reports to the Senior Director of Foundational Engineering and requires a hybrid work model, necessitating at least two days per week in our Chicago office.

AlixPartners seeks a Performance Analyst in Chicago to help client organizations improve operational results and strengthen performance metrics. This position centers on working with data and business information to spot trends, highlight areas for improvement, and support clients in reaching their goals. Key Responsibilities Analyze operational data to identify patterns and performance gaps Translate business insights into actionable recommendations Support client teams as they implement strategies to meet objectives Contribute to ongoing efforts to boost efficiency and effectiveness Role Focus This role involves close collaboration with both data and client teams. The analyst plays a part in shaping strategies and driving measurable improvements for organizations.

Join our dynamic team at Arrive Logistics as a Senior Machine Learning Operations Engineer, where you will play a pivotal role in optimizing our machine learning processes and enhancing operational efficiency. You will be responsible for deploying machine learning models into production, monitoring their performance, and collaborating with data scientists to ensure seamless integration with our existing systems.Your expertise in cloud computing and machine learning frameworks will be crucial in driving innovation and improving our logistics solutions. If you're passionate about leveraging technology to solve real-world problems and thrive in a fast-paced environment, we want to hear from you!

The Senior Platform Engineer I role at NinjaTrader centers on building and maintaining the core systems that power the company's trading platform and brokerage services. This position is open to candidates in Chicago or those seeking a remote arrangement. Role overview This engineer will work on solutions that support both experienced traders and those new to trading. The focus is on reliability, scalability, and performance, ensuring the platform meets the needs of a growing community of users. What you will do Develop and improve backend systems that drive NinjaTrader’s trading platform Collaborate with team members to introduce new tools and features for users Contribute to a platform trusted by over 2 million users worldwide Requirements Experience in platform or backend engineering Ability to work from Chicago or remotely For the most accurate and current details on this position, including job description, compensation, and benefits, please visit the official NinjaTrader job board: https://job-boards.greenhouse.io/ninjatrader.

At Braze, we pride ourselves on our exceptional team—a group that is approachable, kind, and profoundly passionate about our work.We strive to ignite that passion through high standards, collaborative teamwork, and a commitment to work-life balance as we navigate rapid global growth while promoting equity and opportunity within and outside our organization.To thrive here, you need to hold yourself and your colleagues to high standards. Everyone has an opportunity to contribute: exercising autonomy, accountability, and openness to new perspectives are crucial to our ongoing success.Our deep curiosity and willingness to share diverse interests infuse our culture with vibrancy and balance.If you are eager to tackle stimulating challenges and possess a proactive mindset in the face of change, you'll have the chance to make a significant impact here, supported by a talented and passionate team. If Braze resonates with you, we look forward to meeting you.WHAT YOU'LL DOAs a Platform Software Engineer (PSWE), you will design and build distributed systems that power Braze's extensive background processing platform. We manage Sidekiq at Braze—handling over a trillion jobs daily across Kubernetes clusters globally. Your work will encompass autoscaling systems, metrics pipelines, reliable job execution, and internal frameworks that enhance the safety of distributed processing for application teams.Our operations are vast: we cater to 3.3 billion monthly active users, process hundreds of billions of data points monthly, and send billions of messages every day. Our tech stack includes Ruby on Rails, Go, MongoDB, Redis, and Kafka. As a PSWE, you'll collaborate with application teams to advance the Sidekiq platform they rely on, enhancing reliability, performance, and developer experience.Main responsibilities:Develop Braze’s embedded frameworks for large-scale distributed processing.Design, build, and operate internal software frameworks that facilitate Braze’s asynchronous and background processing systems on a massive scale.Evolve and extend frameworks based on technologies like Sidekiq to reliably execute over a trillion jobs per day across a globally distributed platform.Oversee scaling behavior, reliability guarantees, failure modes, and operational safety of these systems.Provide opinionated abstractions, tooling, and guardrails that empower application teams to utilize distributed processing safely without managing underlying complexities.Enhance observability, debuggability, and maintainability of our systems.

At Jump Trading Group, we are dedicated to pioneering research that transforms the financial landscape. We empower the brightest minds in Mathematics, Physics, and Computer Science to explore scientific frontiers and implement groundbreaking research in the global financial markets. Our unique culture fosters constant innovation, demanding fearlessness, creativity, intellectual integrity, and a fierce sense of competition. We believe in collective success and the power of collaboration to unlock individual potential. Research outcomes at Jump go beyond superior risk-adjusted returns; we design, develop, and deploy technologies that reshape our world, support startups across various industries, and collaborate with leading global research institutions to tackle complex challenges.Our global High Performance Computing Team is actively seeking a Production Engineer to join our Chicago office. The vast scale of our computing environments presents unique challenges in achieving optimal performance and reliability. Integrating various systems—including compute, scheduling, networking, and large-scale data storage—is essential to support our data pipelines and quantitative research initiatives. The ideal candidate will be a proactive, detail-oriented professional with extensive experience managing Linux environments and a robust software development background to maintain and enhance our uniquely tailored systems at scale.

Join Harrison Street Asset Management (HSAM), a premier global alternative investment management firm specializing in real estate, infrastructure, and credit strategies across North America and Europe. With headquarters in Chicago, Toronto, and London, and offices spanning North America, Europe, Asia, and the Middle East, HSAM manages over $108 billion in assets for institutional investors and registered investment advisors worldwide.At HSAM, we foster a culture of innovation and are pioneers in alternative real estate and mid-market infrastructure. Our dedicated global team of more than 520 professionals strives to deliver long-term value through profound sector knowledge and progressive strategies.As a Senior Associate in the Systems and Platforms Engineering team, you will report directly to the Systems and Platforms Manager within the Business Technology Group (BTG). Your key responsibilities will include the day-to-day administration, reliability, and continuous enhancement of our on-premises and cloud-based systems, services, and platforms. Collaborating with the Help Desk, Cyber Security, application owners, and third-party vendors, you will ensure operational stability, robust security, and scalable solutions. Additionally, you will play a pivotal role in the adoption and operationalization of AI-enabled tools and services, ensuring they are implemented securely and align with business objectives.

Speechify seeks a Software Engineer, Platform to join the team in Chicago, IL. The focus of this position is to build and refine the systems behind Speechify’s text-to-audio products. The work involves turning written content into clear, high-quality audio experiences. Key responsibilities Design and improve core features of Speechify’s audio platform Collaborate with colleagues to address technical challenges Contribute to products that convert text into audio for users Team culture The team values creativity alongside technical expertise. New ideas that enhance the platform and user experience are encouraged. The group works with energy and welcomes those ready to make an impact.

Position Overview:The Vice President of Product & Platform Engineering will spearhead the strategic development, architectural design, and implementation of cutting-edge technology platforms that underpin the company’s product operating model. This pivotal executive role encompasses overseeing the entire architectural framework across infrastructure, platforms, applications, and DevOps, ensuring that product teams are empowered to create, deploy, and scale innovative customer solutions efficiently and autonomously.This leader will cultivate a scalable, secure, and developer-friendly platform ecosystem that fosters innovation while ensuring reliability, performance, and operational excellence. Serving as a hands-on technical leader, the VP will align product strategy with engineering execution, delivering the architecture, tools, and infrastructure essential for modern product development and scalable, resilient technological solutions.Essential Responsibilities:Platform & Infrastructure StrategyDefine and lead the long-term strategy for platform engineering that supports the organization's product roadmap and growth objectives.Own the architecture and delivery of core platform capabilities including infrastructure, developer platforms, CI/CD pipelines, and shared services.Establish a robust and scalable cloud architecture that serves as the foundation for infrastructure.Promote the adoption of modern platform engineering methods such as internal developer platforms, platform-as-a-product, and self-service infrastructure.Architecture LeadershipOversee enterprise-level application and platform architecture.Define design standards for system architecture, microservices, APIs, and data structures.Guarantee that platforms and services are designed with scalability, reliability, security, and performance in mind.Collaborate with product and engineering leaders to ensure architectural coherence across product teams.Product Operating Model EnablementFacilitate the organization's product squad/trio operating model by providing the necessary architecture and resources.

About Us: At Carefeed, we empower senior living and long-term care providers with a comprehensive platform that streamlines operations, enhancing the experience for both staff and residents. Our innovative solution replaces outdated paper processes, phone calls, and disparate systems with an integrated digital approach, allowing teams to focus on what truly matters—caring for residents and their families.We seamlessly integrate with existing EHR and HR systems, reducing operational strain while keeping communities organized. Carefeed is designed for ease of use, functionality, and the realities of multi-community care, helping providers maintain efficiency and confidence in their operations.With thousands of communities in the US and Canada relying on us, Carefeed is dedicated to supporting organizations in delivering exceptional experiences for residents, families, and caregivers alike.About the Opportunity: We are seeking a Senior Data Engineer to spearhead the development of our data infrastructure and enhance our developer tools. In this pivotal role, you will design and implement robust data systems, develop tools that improve developer productivity, and create the foundational technology for impactful data-driven products.This position is perfect for an experienced data engineer ready to transition into infrastructure management. Your primary project will involve designing and constructing a central data lake for 2026, alongside the necessary pipelines (e.g., SQS, Kafka) to support it. As the inaugural data engineer at Carefeed, you will play a key role in guiding design and tooling decisions and executing those plans.As part of our Infrastructure team, you will also engage in standard infrastructure tasks, including observability and deployments.

Data EngineerEmployment Type: Full-Time, Mid-LevelDepartment: Business Intelligence CGS Federal is in search of a dedicated and innovative Data Engineer to bolster our expanding Data Analytics and Business Intelligence platform. This platform is designed to provide federal clients with the essential tools and capabilities to transform data into actionable insights. The ideal candidate will possess strong analytical skills and a love for continuous learning, eager to navigate and develop expertise across a variety of technologies while addressing some of our clients' most challenging problems. At CGS, we unite motivated, skilled, and creative individuals to tackle the government's most pressing challenges with state-of-the-art technology. We are looking for candidates who are enthusiastic about contributing to government innovation, value teamwork, and can proactively address the needs of others. We foster an environment where our employees feel supported and promote professional development through diverse learning opportunities. Key Responsibilities:- Develop and maintain data pipelines to effectively store, manage, and provide data to users.- Actively participate in an Agile/Scrum team, adhering to best practices.- Write efficient code to ensure reliable data extraction and processing.- Facilitate continuous automation of data ingestion processes.- Promote technical excellence by following lean-agile engineering principles, including API-first design, simple designs, continuous integration, version control, and automated testing.- Collaborate with program management and engineers to understand and document complex, evolving requirements.- Foster an environment that encourages customer service excellence and teamwork.- Work collaboratively within a cross-functional team, including user experience researchers, product managers, and other specialists. Qualifications:- U.S. Citizenship is required.- Ability to obtain a Public Trust Clearance.- A minimum of 7 years of IT experience, focusing on the design and management of large, complex datasets and models.- Proven experience developing data pipelines from various sources, including structured and unstructured data formats.- Proficient in creating ETL processes and conducting testing and validation.- Strong skills in data manipulation using tools such as Python, R, SQL, or SAS.

About AvePoint AvePoint is a leading provider of data protection solutions, focused on integrating security, governance, and resilience to support artificial intelligence. Over 28,000 organizations rely on the AvePoint Confidence Platform to safeguard, manage, and restore data across cloud services such as Microsoft, Google, and Salesforce. The platform supports lifecycle management, multicloud governance, and rapid recovery, while promoting accountability and reducing risks like data overexposure and loss. AvePoint works with around 6,000 managed service providers, value-added resellers, and system integrators, and its solutions are available in more than 100 cloud marketplaces. Learn more at www.avepoint.com. The company values agility, passion, and collaboration, aiming to help employees grow, contribute meaningfully, and shape their own careers. Role Overview The Revenue Operations Go-To-Market Engineer will build and maintain the technical infrastructure that powers revenue operations across Sales, Marketing, Product, and Customer Success teams. This position sits within the Revenue Operations (RevOps) group and treats Go-To-Market execution as a system to be engineered, not a set of manual tasks. The role focuses on designing the automation layer that connects CRM, marketing tools, product telemetry, support, and financial systems into a scalable, real-time operational framework. Key Responsibilities Design and develop automated solutions to improve revenue processes Work with teams across the company to ensure smooth data flow and integration of systems Apply best practices to boost operational efficiency and effectiveness Maintain clear documentation for processes and technical systems Analyze and report on performance metrics to support data-driven decisions Location Chicago, IL, United States

Are you an innovative Data Engineer looking to make a significant impact in a dynamic environment? Join Reply, a leading technology consulting firm, where you will be at the forefront of data transformation and analytics. As a Data Engineer, you will design and implement robust data pipelines, ensuring that our clients leverage data effectively to drive business decisions.

Join SpotOn as a Senior Platform Engineer!At SpotOn, we are revolutionizing restaurant technology by empowering independent restaurants with cutting-edge tools designed for their success. Our award-winning point-of-sale system and AI-driven profit optimization tools are just a few ways we help operators boost their profitability, streamline operations, and nurture their top talent. Each solution we offer is supported by dedicated professionals who genuinely care about the success of our restaurant partners.Recognized as the #1 Restaurant POS by G2 (Fall 2025), thanks to the feedback from actual users.Ranked as the top-rated point-of-sale system for various businesses, including restaurants and retail, by Capterra users.Honored with Great Places to Work and Built In’s Best Workplaces awards for multiple consecutive years.We are driven by a fast-paced environment and a strong commitment to helping independent restaurant owners thrive. If you are passionate about making a significant impact with your skills and dedication, SpotOn is the right place for you.(Remote Friendly)Our Infrastructure Delivery team is on the lookout for a talented Senior Platform Engineer to enhance our foundational infrastructure platform that supports all our products. Your mission will be to create exceptional developer experiences through the development of intuitive tooling that simplifies the writing, testing, and deployment of code.You will play a crucial role in deploying hundreds of microservices by creating reliable CI/CD tooling that adheres to industry best practices. Additionally, you will help build and manage our Internal Developer Platform (utilizing Backstage) as well as various other tools that our engineering team relies on daily. You will sit at the vital intersection of infrastructure and product development.

Join Our Award-Winning Technology Team as a Senior Data Engineer at RAPP ChicagoAbout Us:At RAPP, we are pioneers in driving growth with precision and empathy on a global scale. As a leading next-generation precision marketing agency, we blend data, creativity, technology, and empathy to stimulate client growth. We pride ourselves on creating tailored marketing solutions that resonate with the individuality of our clients and their audiences.We are committed to fostering an inclusive workplace that prioritizes personal well-being.Our Approach:Our dynamic team of superconnectors excels in delivering value from personal brand experiences by focusing on three primary areas: connected data, connected content, and connected decision-making. Our data analysts identify individual insights, our strategists decode client needs, and our talented technologists and creatives craft solutions for authentic customer engagement.Part of Omnicom’s Precision Marketing Group, RAPP comprises over 2,000 creatives, technologists, strategists, and data scientists across more than 15 global markets.Your Role:We are seeking a highly skilled Senior Data Engineer with extensive experience in creating scalable, cloud-native data pipelines and platforms. The ideal candidate will be proficient in Python, Apache Airflow, AWS Lambda, DynamoDB, and dbt and possess a track record in designing reliable data workflows that facilitate advanced analytics, reporting, and machine learning applications. A keen attention to detail, a passion for information management, and the ability to collaborate effectively with creative teams to optimize asset workflows are essential.Your Responsibilities:Data Pipeline DevelopmentDesign, implement, and maintain robust ETL/ELT pipelines leveraging Python and Airflow.Craft serverless workflows using AWS Lambda for scalable, event-driven data processing.Optimize dbt models for analytics and transformations.Data Architecture & StorageDesign schemas and manage data in DynamoDB and other cloud-native storage solutions.Ensure high availability and performance of data storage solutions.