Senior Software Engineer - Data Platform

Role overview hive.co seeks a Senior Data Software Engineer based in Canada to join its remote team. This role centers on designing and building data solutions that help guide business decisions and enhance the company’s products. The focus is on developing reliable data pipelines and scalable applications that match evolving needs. What you will do Design and develop data pipelines and applications aligned with business and product objectives Collaborate with engineers and teams across hive.co Help shape the data infrastructure and influence client-facing solutions Impact This position plays a key role in enabling hive.co to deliver value to clients and make informed decisions based on strong data foundations.

Join Afresh Technologies as a Senior Software Engineer specializing in Data. In this role, you will leverage your expertise to develop innovative solutions that enhance data processing and analytics for our clients. Collaborate with cross-functional teams to design and implement scalable data architectures that drive business decisions.

Narvar helps millions of consumers track packages, manage returns, and receive delivery updates through its network of over 1,500 brand partners. The company's data infrastructure ensures these post-purchase experiences run smoothly in the background. Role overview This fully remote Senior Software Engineer, Data position is open to candidates based anywhere in Canada. The role centers on developing and refining the data pipelines, platforms, and products that support analytics, machine learning, and tools for merchants. What you will do Design, build, and enhance data infrastructure, including ingestion, transformation, and analytics systems used by merchants. Make key architectural choices that shape how data moves and is processed at scale. Deploy production systems that handle both real-time and batch data for millions of users. Work with an AI-native mindset, using advanced coding tools to increase productivity and accelerate delivery. Location This is a remote role based in Canada.

About UsAt Redis, we are pioneers in creating the technology that powers the most rapid applications globally. Whether you checked the weather, made an online purchase, or tracked your flight status today, our solutions are at work behind the scenes. Join us at Redis, where you will engage with the fastest, most efficient technology in the industry—whether you are developing it, narrating its story, or marketing it to our extensive customer base of over 10,000 worldwide. Together, we are shaping a faster world with simpler interactions. Are you ready to be part of this journey?Your Role:Join our team dedicated to Redis Data Integration (RDI). Here, you will help to develop a data streaming pipeline that effectively syncs data from various relational and non-relational databases to Redis Enterprise. This innovation allows applications to retrieve data at lightning-fast in-memory speeds, ensuring seamless integration of legacy databases with Redis Enterprise in near real-time while performing high-speed data transformation.

Join Us in Revolutionizing the Grocery SectorAt Instacart, we believe that food brings people together. Our mission is to ensure everyone has access to the groceries they love while providing them with more time to savor those moments. What may seem like a simple grocery delivery service to some is, for us, an intricate web of opportunities to meet the diverse needs of our community. We are dedicated to delivering an essential service that our customers depend on for their groceries and household items while also creating safe and flexible earning opportunities for Instacart Personal Shoppers.Instacart has become a vital resource for millions, and we are expanding our team to drive our mission forward. If you're ready to contribute to something impactful and do your best work, we invite you to join our team.Flexibility at InstacartWe understand that there's no one-size-fits-all approach to productivity. Therefore, we provide our employees the freedom to choose their ideal work environment, whether it's from home, a local office, or a favorite café, while maintaining connectivity and community through regular in-person events. Discover more about our flexible work culture.Role OverviewAs a Senior Staff Software Engineer on the Data Infrastructure team at Instacart, you will play a pivotal role in shaping the technical landscape of our data platform, which is crucial for our company's data strategy. You'll be responsible for guiding the architecture roadmap that supports our storage and compute layers, streaming infrastructure, analytics tools, and governance systems. This position is ideal for a strategic thinker with deep technical expertise who can make a significant impact at a company-wide level.You will lead long-term architectural planning for our core data platform, influence major investment decisions, and serve as a thought leader within the engineering community and beyond. Your contributions will directly affect how Instacart scales its decision-making processes and will shape the economic framework of one of the most data-driven tech companies in the grocery sector.

About the Role At Abnormal AI, we empower enterprises of all sizes to combat cybercrime with our innovative cloud products. Our offerings are data-intensive SaaS applications that require robust, scalable, and secure data access. This is where our talented Data Platform team plays a crucial role, providing scalable storage solutions (PostgreSQL, OpenSearch, Redis, RocksDB, DynamoDB) and developing services and tools that enhance operational excellence while sharing expertise with engineering and data science teams. We are seeking a Senior Software Engineer to join our Data Platform team. In this role, you will collaborate closely with our world-class engineers to shape and develop the next generation of our data platform. You will tackle ambitious technical challenges that deliver significant value to Abnormal and our clients. There are numerous opportunities for professional growth and career advancement, including the potential to progress into a Staff technical leadership role.

Join Us in Revolutionizing Grocery ShoppingAt Instacart, we are on a mission to connect people through the joy of food. We believe that everyone deserves access to the groceries they love and the time to enjoy them with family and friends. While others view grocery delivery as a simple need, we see it as a complex challenge filled with opportunities to meet our community's diverse requirements. Our essential services support customers in obtaining their groceries and household supplies while providing flexible earning opportunities for Instacart Personal Shoppers.We have become a lifeline for millions, and we are assembling a passionate team to propel our mission forward. If you are eager to deliver your best work, we welcome you to join us at our table.Instacart is a Flex First TeamWe recognize that there is no universal approach to achieving great work. Our employees enjoy the flexibility to choose their ideal work environment—be it from home, an office, or your favorite café—while fostering connections and community through regular in-person events. Discover more about our flexible work approach.OverviewThe Ads Data Solutions Engineering (DSE) team is responsible for creating the foundational capabilities that drive Instacart's off-platform advertising, secure data collaboration (cleanrooms), and automated taxonomy management. We are seeking a Senior Engineer II (L6) to co-manage our technical roadmap, enhance our data solutions infrastructure, scale off-platform integrations, and refine our cleanroom collaboration capabilities while automating taxonomy change management workflows. This role is crucial for fostering cross-team collaboration, enhancing developer productivity, and spearheading AI-driven development initiatives.As a senior technical leader, you will design and implement scalable, data-intensive systems, facilitate cross-team execution, and elevate engineering standards. You will work closely with Product, Data Science, Data Platform, and Governance teams to build reusable abstractions and deliver impactful features across our key areas: Off-platform, Data collaboration (cleanrooms), Ads Taxonomy, Platform, and New Initiatives (AI). You will also mentor L4/L5 engineers, serve as an individual contributor tech lead (without direct reports), and help shape the future on-call model and SLOs.About the Job

At PointClickCare, our mission is straightforward: to empower healthcare providers in delivering extraordinary care, starting with our exceptional team. As a prominent health tech company that is both founder-led and privately owned, we inspire our employees to challenge the status quo, innovate, and shape the future of healthcare.We boast the largest dataset for long-term and post-acute care, along with a Marketplace featuring over 400 integrated partners. Our platform supports over 30,000 provider organizations, making a significant impact on millions of lives. We also reinvest a substantial portion of our revenue back into research and development, ensuring that our employees have the means to innovate and create a lasting difference. Recognized by Forbes as a top private cloud company and celebrated as one of Canada's Most Admired Corporate Cultures, we offer flexibility, growth potential, and meaningful work.At PointClickCare, we empower our employees to become the architects of a smarter healthcare future—one that prioritizes the human experience and is accelerated by AI to foster meaningful change. Our team harnesses the power of AI to enhance creativity, productivity, and informed decision-making. By integrating AI tools into our workflows, we enhance collaboration, improve outcomes, and enable every team member to maximize their impact. Our hiring practices focus on uncovering AI expertise that aligns with our mission, and we continually invest in training and development to foster innovation throughout our employees' careers.Join us in transforming healthcare from mere survival to thriving success. To learn more about PointClickCare, visit Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

About ClickHouseListed among the 2025 Forbes Cloud 100, ClickHouse is recognized as a leader in innovation within the private cloud sector. Serving over 3,000 clients and experiencing an astounding 250% year-over-year growth in ARR, ClickHouse excels in real-time analytics, data warehousing, observability, and AI-driven workloads.The company’s remarkable growth has been bolstered by a recent $400M Series D funding round. In the last quarter, major clients such as Capital One, Lovable, Decagon, Polymarket, and Airwallex have either adopted our platform or expanded their existing use. They join a prestigious roster of AI pioneers and global brands, including Meta, Cursor, Sony, and Tesla.Join us on our mission to revolutionize the way organizations leverage data.The Connectors team plays a crucial role in linking ClickHouse with the wider data ecosystem. We design and maintain integrations that empower millions of developers, data experts, and AI agents worldwide, ranging from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tools.Our contributions significantly influence how organizations manage extensive datasets: we support real-time analytics platforms processing millions of events per second, observability systems tracking global infrastructures, and increasingly, AI-powered data applications that redefine data interactions. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set benchmarks for performance, reliability, and user experience.About the RoleAs a Senior Software Engineer focused on Python and the Data Ecosystem, you will be a key contributor responsible for the evolution of essential components within ClickHouse’s data engineering ecosystem. This position lies at the crossroads of high-performance database engineering and enhancing developer experience. You will develop tools that empower Data Engineers and Data Scientists to leverage ClickHouse’s speed and scalability within their existing frameworks.We seek an individual who has firsthand experience as a Data Engineer or Data Scientist. The landscape for data practitioners is rapidly changing: databases are no longer mere query targets; they are becoming vital components of AI-driven workflows, serving as vector stores for RAG pipelines, backends for LLM-driven agents, and real-time feature stores for ML inference. Your understanding of these workflows comes from direct involvement, enabling you to provide product-level insights as you create integrations.

At Affirm, we're on a mission to revolutionize credit, making it more transparent and user-friendly. Our platform empowers consumers with the flexibility to buy now and pay later, free from hidden fees and compounding interest.The Data and Storage Services team plays a pivotal role in managing Affirm's data needs, which includes both OLAP and OLTP systems. This encompasses everything from essential online checkout databases to our Batch Orchestration, Streaming Infrastructure, Event-Driven Frameworks, and BI analytics tools. Our objective is to deliver reliable, intuitive, and cost-effective solutions that enable Affirmers to securely store, analyze, and transform data at an exceptional scale.We are seeking an experienced Engineering Leader to guide our expanding Data and Storage Services organization, focusing specifically on our Online Storage team. You will leverage your extensive experience in team management and your track record of successfully executing complex, multi-quarter roadmaps. Comfort with ambiguity and the ability to navigate demanding deadlines while crafting strategic initiatives and driving execution are essential. Collaboration with your teams and product stakeholders will be key in defining future architectural and organizational states that facilitate scalability. Your decisions will balance our aspirational vision with the current business and technological imperatives.

Brinqa stands at the forefront of unified cyber risk management and security analytics. Our innovative software empowers organizations to swiftly and efficiently make informed cyber risk decisions across diverse platforms.We assist our clients' cyber security and technology teams in identifying, prioritizing, and addressing the most critical risks through real-time risk analytics, automated assessments, and remediation strategies. Our software provides actionable insights and timely communications, enabling customers to reduce their response times to emerging threats and protect their businesses from significant adverse impacts.We are seeking a Senior Software Engineer to join our Data Team, responsible for developing the systems that power Brinqa’s core platform.In this hands-on role, you will tackle high-scale data systems that ingest, transform, and serve vast quantities of security and IT data. You will take ownership of significant components of the system, influence architectural decisions, and deliver production-grade code that has a direct impact on our enterprise customers.If you thrive on solving intricate data challenges, enjoy working across the full technology stack, and are passionate about building scalable systems, this opportunity is for you.Key ResponsibilitiesDevelop and enhance high-throughput data pipelines for real-time and batch processing.Design systems for large-scale data ingestion, transformation, and enrichment.Create APIs that facilitate data access for advanced analytics and product features.Contribute to the architecture of distributed storage and computing solutions.Ensure systems are scalable, reliable, and perform optimally at an enterprise level.

LocationDoiT embraces a fully remote work culture, allowing this role to be performed from anywhere within American time zones. We actively encourage applications from candidates located in Canada, Mexico, Colombia, and the United States. Who We AreAt DoiT, we are a global technology leader committed to empowering cloud-driven organizations. Our mission is to harness the power of the cloud to foster business growth and innovation. By combining cutting-edge data technology with human expertise, we ensure our clients maintain a well-architected, scalable environment from inception to production. With our DoiT Cloud Intelligence, the industry's only solution merging advanced technology with human insights, we assist clients in overcoming multifaceted multicloud challenges while enhancing operational efficiency. Boasting decades of experience in multicloud environments, we specialize in areas such as Kubernetes, GenAI, CloudOps, and more. As an award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we proudly support over 4,000 customers globally. About SELECT by DoiTEstablished in 2022, SELECT emerged from our ambition to create a product that simplifies the optimization and management of cloud data costs. After extensive research and consultations with industry practitioners, we realized there was a significant demand for such a solution, leading to the development of SELECT. Fast forward to today, SELECT proudly serves over 200 customers, driven by a motivated, lean team dedicated to delivering new features weekly. SELECT became a part of the DoiT family in January 2026, continuing to function as an independent team within the DoiT ecosystem, consisting of fewer than 20 members. This structure allows us to uphold our core values and practices, ensuring high efficiency in our deliverables. The OpportunityAs a Senior Software Engineer at SELECT, you will play a pivotal role in advancing our product by architecting and developing innovative features. Collaboration with our founders and fellow engineers will be key, allowing you to contribute your insights to our roadmap and software design.

At Databricks, we are dedicated to empowering data teams in tackling some of the world's most challenging issues — from speeding up medical innovations to crafting the next wave of intelligent products. We achieve this by developing the premier Data Intelligence Platform, enabling our clients to transform vast amounts of data into profound, actionable insights. Founded by engineers and fueled by innovation, we are passionate about creating intuitive, high-performance user experiences that simplify complex data exploration. As a Senior Frontend Engineer specializing in Data Visualization, you will create interactive and scalable visual experiences that allow users to explore, analyze, and share insights from vast datasets. You will collaborate closely with designers, product managers, and backend engineers to develop the next generation of visualization frameworks, dashboards, and analytical interfaces within Databricks.

Why Join Us?At Brex, we are pioneering an AI-driven spend management platform that empowers organizations to spend wisely through integrated corporate cards, banking services, and global payment solutions. Our innovative software simplifies travel and expense management, making it easy for businesses of all sizes—from startups to large enterprises such as DoorDash, Flexport, and Compass—to take charge of their expenditures, minimize costs, and enhance operational efficiency on a global scale.Joining Brex means challenging yourself, redefining the norms, and collaborating with some of the industry’s brightest talents. We are dedicated to cultivating a diverse and inclusive workforce, and we believe your ambitions should only be limited by your imagination. Our commitment is to equip you with the necessary tools, resources, and support for your professional development.Engineering at BrexOur engineering teams at Brex are focused on creating systems that scale effectively and purposefully. We encompass Software, Data, Security, and IT, fostering an atmosphere of high autonomy and collaborative synergy. We tackle complex technical challenges, own our results, and strive for excellence from architecture to deployment. Here, engineering is regarded as a craft, and builders have the opportunity to emerge as leaders.Where You’ll WorkThis position is based in our Vancouver office. We embrace a hybrid work model that combines the vibrancy and connectivity of office life with the benefits of remote work. Currently, we require team members to be in the office at least three coordinated days each week—specifically Monday, Wednesday, and Thursday.Additionally, we offer up to four weeks of fully remote work each year!Your RoleAs a member of our Product Data Platform (PDP) team, you will help build and manage the high-performance data infrastructure that underpins critical product experiences at Brex. The mission of PDP is to render Brex customizable, scalable, and reliable for finance teams, necessitating deeply optimized backend systems ready for production.In your role as a Senior Software Engineer, you will engage with data-intensive, distributed systems at scale. You will spearhead architectural and performance enhancements across the platform, striving to improve latency, accuracy, and scalability across various product surfaces. The PDP team also develops AI-driven data products, including an interactive reporting tool that enables customers to engage dynamically with their financial data. Your contributions will ensure these systems are fast, reliable, and built for scalability.

Join Confluent as a Senior Software Engineer II, where you will be instrumental in enhancing our real-time data streaming platform. In this role, you will work collaboratively with cross-functional teams to design and implement innovative solutions that address complex challenges in data management.Your expertise will contribute to the development of high-performance, scalable systems that empower organizations to harness the power of their data in real-time. If you are passionate about technology and thrive in a dynamic, remote environment, we would love to hear from you!

Join StackAdapt, a pioneering technology company dedicated to empowering marketers to effectively reach, engage, and convert audiences with precision. Our AI-driven StackAdapt Marketing Platform executes an astonishing 465 billion automated optimizations per second, seamlessly integrating brand and performance marketing to deliver measurable results throughout the customer journey. Forward-thinking marketers trust StackAdapt to orchestrate impactful campaigns across programmatic advertising and various marketing channels.About the Data Delivery Team:The Data Delivery team operates within the Stats & Analytics Core Services department of our backend engineering organization. We are responsible for building scalable and reliable data systems that underpin reporting, billing, pacing, and analytics across the platform, leveraging a modern technology stack including Golang, Kafka, TiDB, and more.Our focus is on transforming foundational data into trusted, customer-facing data products. Collaborating closely with product managers and the Web Platform team, we develop data pipelines and APIs that ensure data is accessible, reliable, and actionable for internal teams and advertisers alike.If you have a passion for building customer-facing data systems and enjoy collaborating with product teams, this opportunity is perfect for you.StackAdapt embraces a Remote First culture, welcoming candidates from anywhere in the United States or Canada for this role.What You'll Be Doing:Leading projects in collaboration with product and engineering teams through requirements gathering, design, implementation, and delivery.Creating highly scalable, distributed real-time microservices to support dashboards, reporting, and analytics.Designing and developing ETL pipelines that enhance data and generate business-oriented insights.Handling large datasets using technologies like TiDB, Redshift, and Vitess, with future opportunities to work with Iceberg, StarRocks, and Trino.Optimizing data models, pipelines, and queries for improved performance and efficiency.

At StackAdapt, we are at the forefront of marketing technology, enabling marketers to precisely engage and convert their audiences. With an astounding 465 billion automated optimizations executed every second, our AI-driven StackAdapt Marketing Platform bridges the gap between brand and performance marketing, delivering measurable results throughout the customer journey. The most innovative marketers partner with StackAdapt to execute high-impact campaigns across diverse programmatic advertising and marketing channels.We are on the lookout for a Senior Software Engineer to become a vital member of our Stats & Analytics Data Platform team — the backbone of our extensive data infrastructure at StackAdapt. This team processes terabytes of data daily, catering to both real-time and batch processing needs. Our data platform guarantees the freshness, accuracy, and cost-effectiveness of data, ensuring that analytics, machine learning, and product teams can rely on trustworthy, governed datasets.As a remote-first company, StackAdapt welcomes candidates from all over the United States and Canada.

About Us Acceldata is a pioneering leader in Enterprise Data Observability, established in 2018 and supported by prestigious investors such as Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures. As a Series-C funded organization, we are based in Silicon Valley.Our groundbreaking Enterprise Data Observability Platform empowers enterprises to create and manage world-class data products by ensuring their data is reliable, trustworthy, and equipped to support today's most critical technologies, including AI, LLMs, Analytics, and DataOps.As a SaaS offering, Acceldata is the trusted choice for renowned global corporations, including HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey’s, Dun & Bradstreet, and many others.About AcceldataAt Acceldata, we are transforming the way enterprises manage, observe, and optimize their data platforms. Our mission is to deliver a cohesive enterprise-grade data observability and modernization platform that integrates effortlessly across cloud, hybrid, and on-premises environments.The Acceldata Open Data Platform (ODP) consolidates the best components of the modern data ecosystem, incorporating technologies such as Hadoop, Spark, Hive, Trino, Kafka, NiFi, MLFlow, Pinot, and more. This enables organizations to execute complex analytical workloads at scale while maintaining flexibility and avoiding vendor lock-in.About the RoleWe are on the lookout for a Senior Software Engineer with at least 7 years of experience in distributed systems or data platform development. In this pivotal role, you will design, develop, and scale components of the Acceldata Open Data Platform (ODP), contributing to open-source technologies and addressing real-world challenges in large-scale data infrastructure.This is a full-time, on-site position open to candidates holding valid work authorization.Why Join UsAt Acceldata, your contributions will extend beyond just writing code; you will be instrumental in shaping the foundation of modern data platforms leveraged by some of the world’s largest enterprises. Collaborate with experienced engineers and open-source contributors who are passionate about tackling complex distributed systems challenges at scale. Each project you undertake will have a direct impact on how data platforms are managed, observed, and optimized across hybrid and cloud ecosystems.This is your opportunity to create technology that truly matters—software that drives mission-critical pipelines, scales to petabytes, and influences the open-source community as a whole. We operate at a fast pace, value creativity, and reward innovation. If you’re eager to make a meaningful impact, we’d love to hear from you!

Join Waabi as a Senior / Staff Software Engineer specializing in machine learning datasets and data pipelines. In this pivotal role, you will architect and develop robust data solutions that drive our cutting-edge autonomous vehicle technology. Your expertise will help streamline data collection, processing, and analytics to enhance our machine learning models.