Full-Time
Senior Software Engineer
Research and Development Business Systems
Fivetran
1,001-5,000 employees
Automates ELT data movement with connectors
No salary listed
Toronto, ON, Canada
Hybrid
Two days in the office each week.
 Software Engineering (1) |
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- 5+ years of experience in the software industry with a passion for solving complex system engineering problems - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch, leveraging industry best practices
- Proven experience developing integrations using APIs (REST/GraphQL), webhooks, and modern programming/scripting languages (Python, Java), and building systems leveraging low-code and full code solutions, and deploying them using modern CI/CD practices and ensuring observability.
- Strong proficiency in SQL, experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift), and experience with BI and data visualization tools such as Sigma, Looker Studio, Tableau, or Power BI.
- Experience building ground-up and deploying AI/ML-powered utilities or agents using LLMs (e.g., OpenAI, Claude, etc.) to automate code writing, documentation, or deliver intuitive and effective user-facing prototypes and full-scale solutions.
- Hands-on experience using, administering, and customizing core enterprise systems: Jira, Slack, Zendesk, Salesforce, Aha!, etc.
- Excellent communication skills in English with the ability to bridge the gap between technical details and business outcomes.
- Experience working cross-functionally with global, engineering, product, design, and data analytics teams.
- Ability to independently drive complex projects, breaking down large-scale initiatives into phased deliverables that provide eminent value to users without compromising on the vision and overall OKRs.
- Technologies You’ll Use include TypeScript/JavaScript, Python, and React; extend Atlassian Cloud via Forge and ScriptRunner; manage data flows in BigQuery and SQL; and deploy solutions on GCP using modern CI/CD practices.
- Lead the development of custom system solutions, tools, and dashboards that power the R&D operations and seamless data flow and process alignment across the Fivetran feature development lifecycle.
- Design, develop, and maintain bidirectional integrations between core platforms such as Jira, Zendesk, Salesforce, and other GTM and G&A Systems to streamline the feature development lifecycle and R&D operations.
- Create ground-up and maintain custom AI agents and internal tools to help engineering managers, product Managers and leadership quickly access relevant data, draft compelling technical requirements and design, synthesize customer feedback, and align with strategic goals and OKRs to improve operational efficiency and launch innovative products faster.
- Design and build production-grade backend services and integration workflows in Python and TypeScript.
- Define API contracts, data models, and integration patterns with strong attention to reliability, idempotency, and security.
- Write high-quality, tested code with clear standards for unit, integration, and end-to-end testing.
- Own observability, operational readiness, and production support for internal tools and data pipelines.
- Build maintainable React-based internal applications with strong UX, accessibility, and performance practices.
- Leverage AI assistants to streamline IDE-based development in real-time and Coding Agents, such as Claude Code, to automatically generate code for use cases such as incident resolution, feature development, testing, investigations, and documentation.
- Create comprehensive technical documentation for all integrations, data models, and deployed systems.
- Build, maintain, and govern self-service analytics dashboards using tools such as Sigma and Looker Studio to measure and drive operational excellence in feature delivery and business velocity, in partnership with our centralized analytics team.
- 3+ years of experience in automation/operations roles within high-growth SaaS or tech companies
- Familiarity with the modern data stack (e.g., dbt, Airflow, Fivetran, Segment, or similar)
- Experience building custom internal tools, AI agents, or web applications to support business operations
Fivetran provides an automated data movement platform that handles ELT (extract, load, transform) to help organizations move and organize data from many sources to analytics destinations. It uses over 400 pre-built, no-code connectors to connect sources to targets, automatically managing data updates, normalization, and schema drift, so data is ready for analysis with minimal manual work. The platform emphasizes security with configurable, compliant deployments to meet GDPR, HIPAA, and other protections. Compared with peers, Fivetran stands out by offering a large library of ready-made connectors and end-to-end automation that reduces the time data engineers spend on building and maintaining data pipelines. The goal is to simplify and automate data integration for businesses of all sizes, enabling reliable, secure data pipelines and letting data teams focus on higher-value tasks.
Company Size
1,001-5,000
Company Stage
Debt Financing
Total Funding
$852.7M
Headquarters
Oakland, California
Founded
2012
Get referred to Fivetran
Find people who can refer or advise you
Simplify's Take
What believers are saying
- Open Data Infrastructure Benchmark exposes vendor data restrictions, positioning Fivetran as the AI enabler.
- SQL Server binary log reader delivers 88 MB/s throughput without disrupting production workloads.
- London office expansion targets 45+ employees to capture AI data infrastructure demand in EMEA.
What critics are saying
- Airbyte's open-source model steals 30–50% of mid-market deals within 6–12 months.
- Hevo's built-in transformations displace 15–25% of Fivetran's mid-market customers in 6–9 months.
- Consumption-based MAR pricing drives 25–40% of startups to migrate to cheaper competitors within 6–12 months.
What makes Fivetran unique
- Fivetran offers 750+ no-code connectors that auto-adapt to schema and API changes.
- Self-healing pipelines guarantee 99.9% uptime with minimal engineering maintenance required.
- Pure ELT focus delegates transformations to external dbt, avoiding transformation tool bloat.
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Benefits
Health Insurance
Unlimited Paid Time Off
Stock Options
Professional Development Budget
Phone/Internet Stipend
Mental Health Support
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 2%2 year growth
↑ 0%Fivetran, a data infrastructure company, has opened a new London office at Marlow House, 1A Lloyd's Avenue, to support growing demand for AI-driven data solutions. The office will serve as a regional hub for go-to-market, customer success and engineering teams. The facility can accommodate more than 45 employees, with capacity to expand as regional hiring continues. Employees will begin moving in throughout April. The location positions Fivetran near major clients including London Stock Exchange, Virgin Media O2 Business and Betfred. General manager for EMEA Simon Quinton said the expansion enables closer collaboration with customers as AI moves into production. Fivetran provides automated data movement and management infrastructure, helping enterprises transition to what it calls "Open Data Infrastructure" for AI applications.
Fivetran opens London office to meet accelerating demand for AI. * 3 hrs ago Fivetran, the data foundation for AI, today announced the opening of its new London office, expanding its presence in one of the world's most important hubs for financial services, technology, and enterprise innovation. Located at Marlow House, 1A Lloyd's Avenue in the City of London, the new office places Fivetran at the center of a dense ecosystem of global enterprises, cloud providers, and technology partners. Its proximity supports more direct collaboration as organizations are rapidly rethinking how data is accessed, governed, and operationalized for AI. The new office is designed to support the company's growing London team, with space to accommodate more than 45 employees today and flexibility to expand as hiring continues in the region. The layout includes a mix of collaboration areas, focus spaces, meeting rooms, and hybrid work environments tailored for a scaling team. Fivetran employees will begin moving into the new London office throughout April. Fivetran's London office will serve as a key hub for the company's regional operations, supporting teams across go-to-market, customer success, and engineering. Its location near many of Fivetran's customers and partners is expected to accelerate collaboration and strengthen the company's role in helping enterprises modernize their data infrastructure for the AI era. Fivetran works with leading organizations across the United Kingdom, including London Stock Exchange, Virgin Media O2 Business, Betfred, RVU Limited, LGT Wealth Management, and Public Power Corporation, supporting AI data-driven operations across telecommunications, financial services, energy, and digital platforms. "This is about being closer to our customers at a moment when the role of data infrastructure has fundamentally changed," said Simon Quinton, general manager for EMEA at Fivetran. "As AI moves into production, companies need infrastructure they can trust, and that's driving a shift toward Open Data Infrastructure. Expanding our presence in London allows us to partner more closely with the organizations building that future." The expansion comes as companies move from AI experimentation into production, where fragmented, unreliable data has become a primary constraint. In response, enterprises are shifting toward Open Data Infrastructure - architectures built on open standards that give organizations control over how their data is accessed, shared, and used across tools, platforms, and AI agents. Fivetran plays a central role in enabling Open Data Infrastructure by delivering reliable, automated data movement, data lake management, and transformations at scale. About Fivetran Fivetran is the data foundation for AI. The Fivetran platform moves, manages, and transforms data from every system a business runs on into a secure, reliable foundation engineered to evolve, with the flexibility to work across clouds, engines, and tools. With Fivetran, analytics, operations, and AI run on data you trust and control. Leading organizations like LVMH, Pfizer, Verizon, and OpenAI rely on Fivetran to turn data into a competitive advantage. Learn more at Fivetran.com, and follow Mycarrollcountynews on LinkedIn. Media gallery
Use SQL Server binary log reader to accelerate database replication. The Fivetran binary log reader optimizes change data capture for superior performance and lower impact when replicating from SQL Server. SQL Server powers critical business operations across every industry, including hospital scheduling systems, retail order platforms, and financial applications. These transactional databases must provide high, consistent performance with large data volumes. Organizations often struggle to quickly ingest business-critical data into a data warehouse or data lake without disrupting production environments. Building and maintaining performant data pipelines for high-volume use cases is fraught, at best, risking stoppages, bugs, and downtime of all kinds. Organizations need near-100% uptime guarantees for backend databases that support critical operations and for data pipelines that deliver analytics. To address these struggles, Fivetran is introducing the SQL Server binary log reader, a new ingestion method designed for sensitive, high-volume database environments. It delivers high-speed, low-impact change data capture by reading changes directly from SQL Server's transaction log, keeping data flowing to your warehouse without disrupting day-to-day operations. What is the binary log reader, and when should you use it? The binary log reader is an incremental update mechanism purpose-built for high-volume, performance-sensitive SQL Server environments that reads transaction logs directly to replicate data to a target system with minimal impact on source performance. This method is designed for environments that require: * Minimal overhead on your SQL Server instance: Your SQL Server is already doing heavy lifting for core applications, and you need to minimize additional CPU and I/O load. * Constant inserts, updates, and deletes: Tables for retail orders, EMR updates, financial transactions, IoT events, and so on are rarely idle, and you need to shrink or eliminate batch windows. * Latency is important for operations: Executives, clinical staff, ML pipelines, and applications expect fresh data immediately. * Ability to scale as needed: Large tables, high write rates, or numerous merge operations won't slow the binary log reader down. If your SQL Server database is already running at capacity, powering time-sensitive business operations, or processing millions of transactions daily, it is challenging to build a data pipeline to replicate these changes downstream to your data warehouse or data lake without interfering with the systems that run on the databases. Another consideration is the cost of these operations, both from a load perspective and from a financial perspective, when processing large data volumes in the cloud. The binary log reader helps users keep costs down and databases up. How it works: reading directly from the transaction log. Data integration with SQL Server commonly uses SQL Server's native change tracking (CT) and change data capture (CDC) mechanisms, both of which write changes to dedicated tables. Fivetran supports both change detection mechanisms. These replication methods are effective for many environments and are fully supported in Fivetran, but sometimes users need something that can meet even more stringent requirements. The SQL Server binary log reader introduces an additional option: it reads committed transactions directly from the SQL Server transaction log using a Fivetran-provided DLL. At a high level, the binary log reader: * Captures changes from the source: The binary log reader uses a Fivetran-provided DLL to read committed transactions directly from SQL Server's transaction log files. Because the log is written as part of SQL Server's normal durability and recovery workflow, Fivetran can observe changes without introducing a heavy query load. * Parse inserts, updates, and deletes: The DLL parses change events from the logs with minimal processing overhead. * Replicate to your destination: Changes are efficiently written to your data warehouse or data lake, maintaining data integrity and order. This log-based approach is the least intrusive replication method because it operates outside the database's query processing engine. Your production workloads remain unaffected, and data continues to flow to your analytics environment. How the binary log reader is changing database replication. In internal testing, it has delivered a throughput of up to 88 MB/s, enabling rapid replication of large, busy SQL Server databases. Unlike query-based approaches that consume significant database resources, log-based replication operates independently, and your database performance remains unaffected due to minimal resource consumption. The upshot is superior performance with minimal impact. Enterprise-grade reliability. The binary log reader includes advanced capabilities designed for production environments: * Automatic fallback: If online transaction logs become unavailable, the binary log reader automatically falls back to backup files, ensuring continuous replication. * Always On Availability Groups (AOAG) support: Seamlessly replicate from high-availability SQL Server configurations * Backup file reading: The binary log reader reads directly from backup files when needed, providing flexibility in how Fivetran accesses transaction data. * Automatic schema migration: Schema changes in your source database are automatically detected and applied to your destination, eliminating manual intervention and preventing pipeline disruptions. Built for complex environments. Whether you're running SQL Server on-premises, in the cloud, or in hybrid configurations, the binary log reader handles the complexity. It supports modern SQL Server architectures while maintaining the simplicity Fivetran is known for - no custom scripting, no manual maintenance. A faster path to real-time SQL Server analytics. With the SQL Server binary log reader, Fivetran, Inc. is giving teams a more efficient way to move mission-critical SQL Server data into modern analytics platforms. Whether you're powering operational dashboards, training models on fresh data, or consolidating enterprise systems, this release ensures you can do it with speed, reliability, and minimal impact on the database that keeps your business running. If you run SQL Server-based applications and need access to data in a data warehouse or data lake, try its binary log reader. Experience the power of the binary log reader for yourself.
Fivetran named a Challenger in the 2025 Gartner(R) Magic Quadrant(TM) for Data Integration Tools. December 11, 2025 Oakland, Calif. - December 11, 2025 - Fivetran, the global leader in data movement, today announced that it has been recognized as a Challenger in the 2025 Gartner(R) Magic Quadrant(TM) for Data Integration Tools. Gartner defines the data integration tools market as platforms that enable organizations to combine data from multiple sources and perform tasks related to data access, transformation, enrichment, and delivery. Fivetran believes this recognition reflects its continued innovation in delivering a unified, secure, and reliable data foundation that integrates movement, transformation, and activation at scale. "Enterprises are consolidating their data stacks and moving toward open, automated platforms that power AI," said George Fraser, CEO of Fivetran. "Fivetran delivers that foundation - integrating all data across systems and clouds, automating every pipeline, and ensuring governance at scale. Our mission is to remove the complexity of data movement so teams can focus on building and innovating." With over 7,700 customers, 740 connectors, and 7,200 terabytes of data moved monthly, Fivetran's scale and reliability position it as a central player in the enterprise data ecosystem. Organizations such as Pfizer, Hippocratic AI, and Steve Madden selected Fivetran to strengthen their data foundations and support their growth. In 2025, Fivetran continued to advance its leadership in automated data integration with key innovations and strategic milestones: * Product and platform innovation: * Expanded support for Fivetran Managed Data Lake Service, including deeper integration with Google Cloud Storage and Microsoft Azure for AI workloads * Improved support for unstructured and semi-structured data across pipelines * Launch of the Connector SDK, giving customers and partners a faster, more flexible way to build custom connectors * Strategic expansion: * Acquisition of Census, adding governed, automated, real-time activation to the platform * Acquisition of Tobiko Data, bringing advanced, multi-engine transformation and open source innovation Gartner, Magic Quadrant for Data Integration Tools, Michele Launi, Nina Showell, Robert Thanaraj, Sharat Menon, 8 December 2025. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About Fivetran Fivetran provides the trusted data foundation for the AI era, unifying data movement, transformation, and activation to power analytics and innovation. Leading enterprises around the globe, including OpenAI, LVMH, Pfizer, and Verizon, depend on Fivetran to make data reliable, interoperable, and ready for intelligence across every cloud and system. Learn more at Fivetran.com, and follow Fivetran, Inc. on LinkedIn.
Fivetran named Winner of the 2025 Microsoft Marketplace Partner of the Year Award. November 12, 2025 Recognition highlights Fivetran and Microsoft's collaboration to deliver AI-ready data on Azure; company also honored as a finalist for the Americas SDC Emerging Partner of the Year OAKLAND, Calif., November 12, 2025 - Fivetran, the global leader in data movement, today announced it has been named the Winner of the 2025 Microsoft Marketplace Partner of the Year Award and a Finalist for the 2025 Microsoft Americas SDC (Software Development Company) Emerging Partner of the Year Award. Fivetran was honored among leading Microsoft partners worldwide for its innovation and excellence in delivering customer solutions built on Microsoft technology. "This recognition reflects how Fivetran and Microsoft are helping enterprises modernize their data infrastructure for the AI era," said Logan Welley, Vice President of Global Alliances at Fivetran. "Our customers want data that's secure, governed, and ready for insights, and that's exactly what we deliver together on Microsoft Azure." The Microsoft Partner of the Year Awards celebrate organizations that have developed and delivered outstanding Microsoft Cloud applications, services, devices, and AI innovation over the past year. Honorees were selected from more than 2,100 nominations. Fivetran was recognized for automating data movement on Microsoft Azure, enabling enterprises to centralize data and accelerate AI and analytics initiatives. As a finalist for the Americas SDC Emerging Partner of the Year, Fivetran was also acknowledged for driving innovation and measurable customer impact across the region. Together, Fivetran and Microsoft empower organizations to build scalable, secure, and compliant data foundations that unlock the potential of AI. With over 700 fully managed connectors, Fivetran centralizes data from hundreds of sources into Fabric/OneLake, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, and Snowflake on Azure, ensuring data is always accurate, fresh, and ready for analysis. Trusted by over 7,600 global customers, Fivetran simplifies data integration across hybrid and multi-cloud environments, eliminating the complexity of manual data pipelines so enterprises can focus on deriving insights, not managing infrastructure. "Congratulations to all the winners and finalists of the 2025 Microsoft Partner of the Year Awards," said Gustavo Blum, Vice President, Americas Recruit & Growth Partner Solutions & Sales, Microsoft. "This year, our partners harnessed the transformative power of Microsoft's Cloud and AI platforms to deliver transformative solutions that redefine the boundaries of innovation. The energy and ingenuity across our ecosystem continue to inspire us. The 2025 honorees exemplify what's possible when technology and vision unite to empower customers around the world." The 2025 Microsoft Partner of the Year Awards were announced ahead of Microsoft Ignite, which will be held in San Francisco from November 18 - 21. Additional details on the 2025 awards are available on the Microsoft partner blog. About Fivetran Fivetran provides the trusted data foundation for the AI era, unifying data movement, transformation, and activation to power analytics and innovation. Leading enterprises around the globe, including OpenAI, LVMH, Pfizer, and Verizon, depend on Fivetran to make data reliable, interoperable, and ready for intelligence across every cloud and system. Learn more at Fivetran.com, and follow Fivetran, Inc. on LinkedIn.