Senior Analytics Engineer - Analytics Enablement

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 revolutionizing the way marketers connect with their audiences. As a frontrunner in technology, we empower marketers to reach, engage, and convert their target demographics with unparalleled precision. Our AI-driven StackAdapt Marketing Platform boasts an impressive 465 billion automated optimizations per second, seamlessly integrating brand and performance marketing to deliver measurable results throughout the customer journey. The most innovative marketers trust StackAdapt to orchestrate impactful campaigns across various programmatic advertising and marketing channels.About the Team:We are excited to invite a Senior Software Engineer to join our Data Ingestion Team, responsible for constructing and managing the vital infrastructure that functions as the “front door” of StackAdapt’s event flow. Our team tackles large-scale distributed systems with a strong focus on scalability, performance, reliability, and data integrity, processing over 10 billion events each day. Our systems are fundamental to key operations such as bidding, reporting, billing, analytics, and machine learning.We design and implement low-latency, highly reliable ingestion systems for impressions, clicks, conversions, and third-party signals, ensuring data accuracy and availability for downstream teams in real-time. Our technology stack includes Golang, Kafka, TiDB, Aerospike, Vitess, Kubernetes, and more.If you find joy in solving complex challenges within distributed systems at scale, this team presents significant technical challenges and the chance to make a real impact.At StackAdapt, we embrace a Remote First culture, welcoming candidates from anywhere in Canada or the United States to apply for this position.

Tiger Analytics is a rapidly expanding advanced analytics consulting firm renowned for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We pride ourselves on being the analytics partner of choice for multiple Fortune 100 companies, helping them derive significant business value from their data. Our leadership and business impact have been acknowledged by prominent market research entities, including Forrester and Gartner. We are on the lookout for exceptional talent to enhance our global analytics consulting team.We are currently seeking a highly skilled Data Engineer with extensive experience in Dataiku to join our dynamic data team. In this pivotal role, you will be responsible for designing, constructing, and sustaining robust data pipelines, integration processes, and infrastructure. Your collaboration with data scientists, analysts, and other key stakeholders will be essential to ensure a seamless flow of data and to facilitate data-driven decision-making throughout the organization.

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.

Join Lattice as a Senior Software Engineer in Analytics, where you will play a crucial role in enhancing our analytical capabilities. We are looking for a passionate engineer who thrives in a collaborative environment and is eager to tackle complex technical challenges.

About FaireFaire is a pioneering online wholesale marketplace that champions the belief in localized commerce. Our mission is to empower independent retailers globally, who collectively generate more revenue than giants like Walmart and Amazon, by providing them with the technology, data insights, and machine learning tools they need to thrive. Imagine your favorite local boutique — we connect them with exceptional products from around the world, leveling the playing field against large retail and e-commerce giants. We believe that with the right tools, small businesses can compete effectively in today's market.By nurturing the growth of independent businesses, Faire is driving positive economic impact in local communities worldwide. We invite innovative, resourceful, and passionate individuals to join our mission as we lead the shop local movement. If you share our belief in the power of community, we would love to welcome you to ours.About this RoleOur Engineering organization is responsible for the software that powers our marketplace. The Platform group supports various teams across Faire, including Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance, ensuring they can perform at their best without worrying about the underlying infrastructure. We empower product engineering teams to develop and operate software with unparalleled speed and quality, emphasizing strong engineering practices, an excellent developer experience, security, testability, ease of maintenance, and scalability to serve millions of users. We are committed to best practices to ensure optimal availability and performance.This role is ideal for a seasoned technical leader in the data domain, with influence across multiple Platform and Product groups.Within the Platform group:The Data Infrastructure team is tasked with building and managing a secure, reliable, and cost-effective platform for data ingestion, storage, compute, orchestration, and governance.The Analytics Platform team focuses on creating effective data warehousing capabilities, essential data assets, and tools designed to expedite data-driven analytics, with a goal of minimizing the time from data acquisition to insights.Additionally, this role involves influencing and collaborating with all data and analytics functions at Faire. The Product Analytics Engineering (PAE) function enables domain...

About Us:At Emburse, we don't just envision the future – we create it. As a premier provider of travel and expense solutions, our mission is to harness technology to generate business value and drive remarkable outcomes. Our innovative AI-driven platform empowers organizations to enhance financial operations, gain deeper insights, and manage expenditures effectively across the enterprise.As a Software Development Engineer in Test (SDET) at Emburse, you will play a crucial role in shaping an engaging and cohesive suite of system solutions. Your expertise will allow you to elevate customer experiences, tackle intriguing challenges, and devise innovative solutions. Renowned for our pioneering technologies and commitment to engineering excellence, Emburse offers you the opportunity to collaborate with some of the brightest professionals in the industry, fostering your growth and career advancement.

About the RoleVantage Analytics is seeking a talented Senior Data Engineer to enhance our Measurement team. This team is dedicated to improving the Insights Explorer feature on our platform, allowing our partners to effortlessly convert retail media data into actionable insights.In your role as a Senior Data Engineer, you will be instrumental in architecting the data infrastructure necessary for collecting, processing, and analyzing our extensive datasets. You will leverage a suite of advanced technologies to innovate what is achievable with real-time data and large-scale batch processing.This is a newly created position, reflecting our commitment to expanding our capabilities.

Join Dropbox as a Data Engineer in our Analytics Data Engineering team, where you will play a pivotal role in building data pipelines and analytical solutions that drive our strategic decisions. You will collaborate with cross-functional teams to gather requirements, design scalable architectures, and implement robust data solutions that empower our analytics capabilities.

Join our dynamic team at Tiger Analytics as a Data Engineer specializing in Snowflake. In this fully remote role, you will leverage your expertise in data engineering to build and optimize data pipelines, ensuring high performance and reliability in data processing. You'll collaborate with cross-functional teams to deliver data solutions that drive business insights and support data-driven decision-making.

About Us:At ZayZoon, we are dedicated to empowering 10 million hardworking individuals to save a staggering $10 billion. Our innovative financial platform is designed to enhance employee financial wellness across organizations of all sizes.We provide a range of financial wellness services, including earned wage access, allowing employees to access their wages before payday. With 74% of our clients reporting decreased financial stress, we know our services contribute to increased employee satisfaction and productivity. ZayZoon has received recognition for our rapid growth, including accolades from the 2025 Deloitte Technology Fast 50, 2025 Deloitte Technology Fast 500, and as one of the top-10 growth companies in Canada according to CIX awards. Our recent Series B funding round has brought in nearly $50 million USD Join us in revolutionizing the future of employee financial wellness and developing services that meet the needs of today’s workforce.Although we have listed a few cities, there is no requirement to be located in any of them! We operate fully remotely and hire across Canada and the U.S.

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.

About FaireFaire is a vibrant online wholesale marketplace grounded in the belief that the future is local. Independent retailers globally are generating more revenue than Walmart and Amazon combined, yet they remain small compared to these giants. At Faire, we harness the power of technology, data, and machine learning to connect this thriving community of entrepreneurs around the world. Imagine your favorite local boutique; we empower them to discover exceptional products from across the globe to enrich their offerings. With the right tools and insights, we strive to level the playing field, ensuring that small businesses can effectively compete against big box and e-commerce behemoths.By championing the growth of independent businesses, Faire is making a positive economic impact in local communities worldwide. We are on the lookout for intelligent, resourceful, and passionate individuals to join us as we fuel the shop local movement. If you share our commitment to community, we invite you to join ours.About the RoleAre you enthusiastic about leveraging data and AI to shape the future of Faire's product features for small and medium-sized businesses (SMBs)? If so, we want to connect with you! We are seeking a technical leader to collaborate closely with Data Scientists, Product Analysts, and Software Engineers to facilitate product launches and roadmaps by developing robust data capabilities that generate actionable insights. You will spearhead efforts to utilize AI to enhance productivity and revolutionize analytical engineering—streamlining data pipeline development and operations, refining data consumption workflows, and automating routine analytical tasks. In this role, you will witness a direct correlation between your contributions, company growth, and user satisfaction. You will collaborate with top-tier professionals, work with one of the richest data sets available, utilize cutting-edge technology, and regularly see the impact of your efforts on products and SMBs.Join us and be part of a team that prioritizes data-driven innovation and excellence.

About FaireFaire is a dynamic online wholesale marketplace driven by the conviction that the future is local. Independent retailers across the globe are generating more revenue than Walmart and Amazon combined. However, individually, they appear small next to these retail giants. At Faire, we harness the power of technology, data, and machine learning to bridge the gap for this vibrant community of entrepreneurs worldwide. Imagine your beloved local boutique — we assist them in discovering the finest products from around the globe to stock in their stores. With the right tools and insights, we empower small businesses to compete with large-scale retailers and e-commerce platforms.By fostering the growth of independent businesses, Faire is making a positive economic impact in communities everywhere. We are in search of intelligent, resourceful, and passionate individuals to join us in driving the shop-local movement. If you value community, we invite you to become part of ours.About this Role:Our Engineering organization is responsible for the software that powers our marketplace. The Platform group supports various teams at Faire, including Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance, enabling them to excel without the worry of underlying infrastructure. We empower product engineering teams to develop and operate software with unmatched speed and quality, emphasizing good engineering practices, superior developer experience, security, testability, maintainability, and scalability to support millions of users. We are committed to best practices that ensure exceptional availability and performance.The Analytics Platform team is tasked with building capabilities that enhance data-driven analytics, boosting productivity and accuracy at Faire. Our goal is to minimize the time from data collection to actionable insights.The team concentrates on the following areas and capabilities:Optimization of data warehousing, including performance, efficiency, and costEstablishment of data quality, metadata enrichment, lineage, and privacy capabilitiesDevelopment of tools and capabilities to enhance the productivity of analytics experts and automate analytics functionsCreation of development patterns and practices for foundational assetsIncorporation of data security, privacy, and governance elementsAdditionally, the team manages relationships with select infrastructure vendors.

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.

As the Manager of Data Infrastructure, you will report directly to the Director of Data Engineering and spearhead a team of 5-6 engineers responsible for operating essential data platforms that fuel our AI and analytics initiatives. This newly established, hands-on leadership position blends technical expertise with personnel management, requiring you to mentor your team, promote agile methodologies, and incorporate product-focused thinking into infrastructure management. You will implement our data strategy while ensuring operational excellence across platforms that handle billions of transactions monthly. We embrace a Flexible First work model, allowing this role to be performed remotely within the provinces of Ontario and British Columbia. Quarterly travel to the United States will be necessary. We are excited for you to potentially join our team!

About ClutchClutch is Canada's leading online used car retailer, dedicated to providing an effortless and enjoyable car-buying experience. Our platform allows customers to explore a vast selection of vehicles from the comfort of their homes, have their chosen car delivered directly to their door, and enjoy our reassuring 10-Day Money-Back Guarantee. Celebrated as one of Canada’s Top Growing Companies for two consecutive years and recognized in LinkedIn's Top Canadian Startups list, we are eager to welcome inquisitive, diligent, and passionate individuals to our expanding team.Founded in 2017 and headquartered in Toronto, Clutch is supported by renowned investors such as Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To discover more about us, visit clutch.ca.About the RoleClutch is on the lookout for a Senior Analytics Engineer to architect, maintain, and enhance our analytics data infrastructure. In this pivotal role, you will collaborate with business units, oversee essential data domains, and mentor fellow analytics engineers while advocating for data quality, governance, and contemporary analytics methodologies.

At Grafana Labs, we are a trailblazer in the world of open-source technology, with a thriving community of over 20 million users globally utilizing our powerful visualization tool, Grafana. Our software is pivotal in monitoring a diverse range of applications, from environmental changes to the intricacies of sports events like the Tour de France. Trusted by more than 3,000 leading organizations, including Bloomberg, JPMorgan Chase, and eBay, we provide exceptional solutions through our Grafana LGTM Stack, available via both Grafana Cloud and Grafana Enterprise Stack. We are rapidly expanding while staying true to our core values: an open-source heritage, a collaborative global culture, and a dedication to impactful work. Our team flourishes in an innovative atmosphere characterized by transparency, autonomy, and trust.If this role intrigues you, don’t hesitate to apply even if you don’t meet every single requirement. This could be a defining moment in your career.Note: This position is fully remote, and we are currently seeking applicants from Canadian time zones only.Senior Analytics EngineerAbout the Role:The Senior Analytics Engineer will play a crucial role in enabling our analysts and data-driven stakeholders by overseeing the architecture and infrastructure for data ingestion, transformation, testing, documentation, and connectivity across Grafana Labs. Effective collaboration with key stakeholders is essential to build a data stack that adapts to our business needs as we scale.Key Responsibilities:Manage and maintain the architecture and infrastructure of our data stack (including BigQuery, dbt, and Fivetran).Ensure the availability, accuracy, and accessibility of data essential for understanding and serving our stakeholders.Collaborate with teams such as GTM, Marketing, Finance, and BizApps to comprehend their data requirements and identify enhancements for our analytics stack.Become the primary expert on our data systems and processes.