Full-Time
Staff Software Engineer in Test
Updated on 8/7/2026
Fivetran
1,001-5,000 employees
Automates ELT data movement with connectors
No salary listed
Bengaluru, Karnataka, India
Hybrid
Hybrid role in Bengaluru.
 QA & Testing (1) |
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- At least 8 years of software industry experience focused on building test automation frameworks, tools, and infrastructure at scale.
- Experience defining and driving code quality for tests, including review processes, efficiency, and maintainability.
- Ability to write critical or common code shared across multiple teams.
- Ability to identify and design fixes for critical issues concerning core product components.
- Ability to contribute to and enforce department-wide coding standards.
- Ability to identify major product improvements that increase quality and resilience.
- Ability to identify and fix performance, scalability, and reliability gaps in tests and test frameworks.
- Ability to define testing efficiency and reporting strategies.
- Ability to define product release guidelines, including quality gates and readiness criteria.
- Expertise in design principles and their application to test architecture.
- Strong knowledge of object-oriented programming, preferably in Java.
- Hands-on experience with AWS, Google Cloud Platform, and Microsoft Azure.
- Experience with CI/CD systems including Buildkite, Jenkins, GitHub Actions, and CircleCI; modern build tools including Bazel, Maven, and Gradle; and observability platforms including New Relic, Datadog, Prometheus, and Grafana.
- Strong background in infrastructure and container orchestration, including Docker, Kubernetes, and Temporal.
- Strong understanding of data engineering concepts and large-scale distributed systems.
- Ability to drive initiatives across multiple teams and influence business-critical systems.
- Strong written and verbal communication skills to support complex technical discussions.
- Knowledge of ELT pipelines, including testing data integrity, schema evolution, and pipeline reliability.
- Ability to incorporate AI techniques to improve test efficiency, defect detection, and productivity.
- Experience evaluating and adopting quality engineering practices such as shift-left testing, chaos engineering, and autonomous testing.
- Lead the architecture of internal tools, libraries, and utilities for test automation and benchmarking across teams and domains.
- Define and evolve quality strategies covering testability, release readiness, performance, and reliability.
- Drive cross-organizational quality initiatives to improve execution speed, observability, and feedback loops.
- Identify systemic risks in business-critical systems and implement robust validation strategies.
- Mentor engineers, influence design for testability, and champion best practices across the organization.
- Collaborate with engineering and product leaders to align testing priorities with platform and business objectives.
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
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Simplify's Take
What believers are saying
- Oakbrook Finance adopted Fivetran in June 2026, saving three months of engineering work.
- London office opened April 2026, signaling hiring expansion across EMEA customer success and engineering.
- June 2026 merger created about $600 million ARR and more than 10,000 customers.
What critics are saying
- Alameda County class action filed November 2025 threatens wage costs and reputational damage.
- Databricks, Snowflake, and Coalesce compress pricing by bundling adjacent data workflows.
- Merger integration through 2026 risks product confusion, duplicated teams, and slower execution.
What makes Fivetran unique
- June 2026 merger with dbt Labs combines ingestion, transformation, and governance.
- Fivetran's 400-plus connectors and automatic schema drift handling reduce pipeline maintenance.
- Open Data Infrastructure benchmark frames Fivetran as the standard-setter for AI-era data access.
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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
↑ 0%2 year growth
↑ 0%Fivetran selected by Oakbrook Finance to support real-time lending decisions and AI-ready data operations. Fivetran, the data foundation for AI, today announced that specialist UK consumer lender Oakbrook Finance has selected the company to centralise and govern data across its analytics estate. The deployment supports customer insight, product development, marketing effectiveness and machine learning workflows, while saving Oakbrook's data engineering team approximately three months of build time. Founded in 2011, Oakbrook is a specialist consumer lender serving near-prime and non-prime borrowers across the UK who are typically overlooked by mainstream banks. The business has lent more than £1.5 billion to UK customers and currently serves around 140,000 active borrowers. A significant share of applications comes through price comparison platforms, where Oakbrook typically has less than 10 seconds to ingest data, run its models, and return an offer. "Our data engineering team is lean and deliberately focused. Before Fivetran, a meaningful chunk of their time was spent maintaining pipelines rather than building things that move the business forward," said Ed Ball, Head of Data and Security at Oakbrook. "Fivetran has let us connect data sources we wouldn't have reached otherwise, which has materially expanded what we can analyse and model, from customer behaviour through to how our products perform in the market. That's directly fed into work like the launch of OakbrookOne, our debt consolidation product." To meet these requirements without increasing operational overhead, Oakbrook adopted an automated approach to data integration. Fivetran enables the company to centralise and govern data from multiple sources, supporting an open data infrastructure model in which data remains accessible, consistent, and under Oakbrook's control. "Financial services organisations are under pressure to move faster while maintaining strict governance and control over their data," said Alex Cresswell, Regional Vice President, Northern Europe, Middle East and Africa (NEMEA) at Fivetran. "An open data infrastructure allows them to do both, by ensuring data is accessible, governed, and usable across systems without adding operational complexity." Fivetran now ingests around 5 million rows of data for Oakbrook each month, creating a consistent, governed data layer across the business. This supports improved customer insight, application development, and marketing effectiveness, including the launch of new products such as OakbrookOne, a debt consolidation loan product that has so far enabled more than £50 million in consolidation lending, with customers saving an average of £110 a month and over 40 percent receiving same-day settlement of their existing debts.
Fivetran awarded 2026 Databricks ISV Customer Impact Partner of the Year at Data + AI Summit. Award recognizes Fivetran's role in helping enterprises accelerate AI adoption and deliver measurable business outcomes on the Databricks platform OAKLAND, Calif.-(BUSINESS WIRE)-Fivetran, the data foundation for AI, today announced that it has been named the 2026 Databricks ISV Customer Impact Partner of the Year. Presented at the annual Databricks Partner Awards during Data + AI Summit, the award recognizes Fivetran's success in helping joint customers accelerate analytics and AI initiatives through trusted, automated access to governed enterprise data. Together with Databricks, Fivetran is helping enterprises create the reliable data foundations and enterprise context needed to power analytics, AI applications, and agentic workflows. Share The recognition follows a year of strong momentum between Fivetran and Databricks, marked by substantial growth in their shared customer base and continued expansion of joint customer adoption worldwide. "Organizations are moving quickly from AI experimentation to production, and success depends on having access to trusted, governed data," said George Fraser, CEO and Co-founder at Fivetran + dbt Labs. "Together with Databricks, we're helping enterprises create the reliable data foundations and enterprise context needed to power analytics, AI applications, and agentic workflows. This award reflects the impact our teams and customers are achieving together." "As the race to productionize AI accelerates, customers consistently ask us how they can better manage their data in order to build AI apps and agents that make a real impact on their business," said Stephen Orban, SVP, Product Ecosystem & Partnerships at Databricks. "As a key Databricks partner, Fivetran helps our joint customers do exactly that. We're proud to recognize them as 2026 Databricks ISV Partner of the Year." Throughout the past year, Fivetran has deepened its collaboration with Databricks across product innovation, customer success, and go-to-market initiatives. The partnership enables organizations to centralize and operationalize data from hundreds of business-critical applications and databases within the Databricks platform, accelerating time-to-value for analytics, AI applications, and agents. The partnership has helped customers achieve measurable results, including Inova Health, which compressed a 4-year modernization roadmap into six months, reduced data movement costs by up to 8x, and eliminated a backlog of more than 500 requests while building a foundation for AI applications. Additionally, Superhuman accelerated data integration timelines from months to days, enabling faster reporting, AI-ready workflows, and improved customer outcomes. The integration with Databricks extends across the platform, including Unity Catalog, Lakehouse, Lakebase, Marketplace, Genie, and Agent Bricks. By delivering trusted, real-time data into Databricks, Fivetran helps organizations strengthen governance, improve operational efficiency, and accelerate adoption of AI-powered applications and analytics. Together, Fivetran and Databricks are helping organizations build and scale analytics, AI applications, and agents on trusted, governed enterprise data. About Fivetran + dbt Labs Fivetran + dbt Labs deliver the data infrastructure layer that makes agents trustworthy - from the moment data moves, through every transformation, to the context an agent reasons from. 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. Thousands of organizations worldwide, including OpenAI, LVMH, Pfizer, and Verizon, rely on Fivetran to turn data into a competitive advantage. Since 2016, dbt Labs has been on a mission to help data practitioners create and disseminate organizational knowledge. dbt is the standard for AI-ready structured data. Powered by the dbt Fusion engine, it unlocks the performance, context, and trust that organizations need to scale analytics in the era of AI. Globally, more than 100,000 data teams use dbt, including those at Siemens, Roche and Condé Nast. More News From Fivetran OAKLAND, Calif.-( BUSINESS WIRE )-Fivetran, the data foundation for AI, today announced the completion of its merger with dbt Labs, the creator of dbt and the leader in standards for AI-ready structured data. Initially operating as Fivetran + dbt Labs, the all-stock transaction, originally announced on October 13, 2025, brings together two category-defining platforms to advance a new era of trusted, Open Data Infrastructure for AI at scale. George Fraser will continue serving as CEO, and Trista... OAKLAND, Calif.-( BUSINESS WIRE )-Fivetran, the data foundation for AI, today announced plans to become steward of the Great Expectations open source community and GX Core project, supporting the continued development of one of the industry's most widely used open source data quality frameworks. Under the planned transition, GX Core will continue as an open source, community-driven project. Fivetran intends to support ongoing project maintenance, ecosystem integrations, and community engagement... OAKLAND, Calif.-( BUSINESS WIRE )-Fivetran, the data foundation for AI, today released "The 2026 agentic AI readiness index," a global benchmark measuring how prepared enterprise data environments are to support agentic AI workloads/initiatives in production. The findings show that only 15% of organizations are fully prepared to support agentic AI in production, even as nearly 60% report investing millions to tens of millions in the technology. Based on a survey of 400 data professionals across... Fivetran. Release Versions
Fivetran awarded 2026 Databricks ISV Customer Impact Partner of the Year at Data + AI Summit. June 16, 2026 Award recognizes Fivetran's role in helping enterprises accelerate AI adoption and deliver measurable business outcomes on the Databricks platform Databricks Data + AI Summit - June 16, 2026 - Fivetran, the data foundation for AI, today announced that it has been named the 2026 Databricks ISV Customer Impact Partner of the Year. Presented at the annual Databricks Partner Awards during Data + AI Summit, the award recognizes Fivetran's success in helping joint customers accelerate analytics and AI initiatives through trusted, automated access to governed enterprise data. The recognition follows a year of strong momentum between Fivetran and Databricks, marked by substantial growth in their shared customer base and continued expansion of joint customer adoption worldwide. "Organizations are moving quickly from AI experimentation to production, and success depends on having access to trusted, governed data," said George Fraser, CEO and Co-founder at Fivetran + dbt Labs. "Together with Databricks, we're helping enterprises create the reliable data foundations and enterprise context needed to power analytics, AI applications, and agentic workflows. This award reflects the impact our teams and customers are achieving together." "As the race to productionize AI accelerates, customers consistently ask us how they can better manage their data in order to build AI apps and agents that make a real impact on their business," said Stephen Orban, SVP, Product Ecosystem & Partnerships at Databricks. "As a key Databricks partner, Fivetran helps our joint customers do exactly that. We're proud to recognize them as 2026 Databricks ISV Partner of the Year." Throughout the past year, Fivetran has deepened its collaboration with Databricks across product innovation, customer success, and go-to-market initiatives. The partnership enables organizations to centralize and operationalize data from hundreds of business-critical applications and databases within the Databricks platform, accelerating time-to-value for analytics, AI applications, and agents. The partnership has helped customers achieve measurable results, including Inova Health, which compressed a 4-year modernization roadmap into six months, reduced data movement costs by up to 8x, and eliminated a backlog of more than 500 requests while building a foundation for AI applications. Additionally, Superhuman accelerated data integration timelines from months to days, enabling faster reporting, AI-ready workflows, and improved customer outcomes. The integration with Databricks extends across the platform, including Unity Catalog, Lakehouse, Lakebase, Marketplace, Genie, and Agent Bricks. By delivering trusted, real-time data into Databricks, Fivetran helps organizations strengthen governance, improve operational efficiency, and accelerate adoption of AI-powered applications and analytics. Together, Fivetran and Databricks are helping organizations build and scale analytics, AI applications, and agents on trusted, governed enterprise data. About Fivetran + dbt Labs Fivetran + dbt Labs deliver the data infrastructure layer that makes agents trustworthy - from the moment data moves, through every transformation, to the context an agent reasons from. 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. Thousands of organizations worldwide, including OpenAI, LVMH, Pfizer, and Verizon, rely on Fivetran to turn data into a competitive advantage. Since 2016, dbt Labs has been on a mission to help data practitioners create and disseminate organizational knowledge. dbt is the standard for AI-ready structured data. Powered by the dbt Fusion engine, it unlocks the performance, context, and trust that organizations need to scale analytics in the era of AI. Globally, more than 100,000 data teams use dbt, including those at Siemens, Roche and Condé Nast. Contact Fivetran, Inc. Reach out for media and press inquires.
Fivetran has launched the Open Data Infrastructure Data Access Benchmark, an industry standard evaluating how enterprise software vendors enable or restrict access to customer data for AI workloads. The benchmark is available at opendatainfrastructure.com. The framework assesses vendors across three dimensions: coverage of programmatically accessible data objects, performance including high-throughput replication, and egress charges for data movement. Fivetran says many organisations are discovering software vendors restrict access to data needed for AI through incomplete APIs, throughput limitations and pricing models. "Access to data is becoming more restricted, both technically and commercially," said CEO George Fraser. The benchmark uses publicly available documentation and applies consistent criteria across all vendors. Fivetran plans to expand the benchmark to include additional vendors over time.
Coupler.io vs Supermetrics vs Fivetran vs Airbyte (2026): which should you choose? Quick answer. Coupler.io is best for non-technical marketing and finance teams needing automated pipelines with no-code setup. Supermetrics suits individual marketers focused on spreadsheet reporting. Fivetran is designed for data engineering teams running warehouse-scale pipelines. Airbyte fits engineers wanting open-source, self-hosted control. Key takeaways. * All four tools move data from source to destination - but target very different users and technical levels * Only Coupler.io and Supermetrics are built for non-technical, non-engineering users * Fivetran and Airbyte require data engineering knowledge and are warehouse-first * Coupler.io is the only platform offering AI analytics integrations (ChatGPT, Claude) * Pricing structures differ significantly - from per-source (Supermetrics) to per-row (Fivetran) to per-connection (Coupler.io) Introduction. Choosing the right data integration tool in 2026 requires clarity on team structure, technical capability, and data volume. Coupler.io, Supermetrics, Fivetran, and Airbyte are all well-established platforms - but each is built for a distinct use case. This comparison evaluates all four on features, pricing, ease of use, target user, and destination support to help teams make an informed decision. Evaluating Coupler.io against alternatives? The free plan lets you test real pipelines at zero cost - no card required. Platform overviews. Coupler.io. Coupler.io is a no-code data integration and analytics platform. It targets marketing, finance, and operations teams that need automated ETL pipelines without engineering involvement. Its four-step setup (Source, Transform, Destination, Schedule) is accessible to non-technical users. The platform also includes a built-in data transformation module, ready-made dashboard templates, and AI analytics integrations. Supermetrics. Supermetrics is a data extraction platform focused on marketing and sales analytics. It specializes in connecting marketing platforms (Google Ads, Meta Ads, etc.) to spreadsheets and BI tools. Its strength is fast, plug-and-play setup for spreadsheet-centric workflows. It does not require pipeline management or warehouse knowledge. However, its destination options are limited without enterprise pricing, and it lacks built-in transformation depth. Fivetran. Fivetran is a fully managed ELT platform designed for data engineering teams. It automates data movement into data warehouses (Snowflake, BigQuery, Redshift) with automatic schema migration and high reliability. It supports 700+ connectors and is the standard choice for enterprise warehouse ingestion. In late 2025, Fivetran merged with dbt Labs, expanding its transformation capabilities. Pricing is based on monthly active rows and can be expensive for teams with high data volume. Airbyte. Airbyte is an open-source data integration platform available as self-hosted or cloud-managed. It provides 550+ connectors and supports custom connector development via a Connector Development Kit. It is optimized for engineering teams wanting full infrastructure control. The open-source version is free but requires technical maintenance. Cloud pricing starts at $10/month but uses a credit-based model that has drawn criticism for unpredictability. Feature comparison. | Feature | Coupler.io | Supermetrics | Fivetran | Airbyte | | Primary user | Non-technical teams | Individual marketers | Data engineers | Data engineers | | Connectors / Sources | 200+ | 170+ (marketing) | 700+ | 550+ | | No-code setup | | Yes | | Yes | Partial | | Technical | | Built-in data transform | | No-SQL visual | Basic blending | | SQL + dbt | | SQL (post-load) | | Google Sheets destination | | Yes | | Yes | | No | | No | | Data warehouse destination | | Paid plans | | Enterprise only | | Core feature | | Core feature | | AI tool integrations | | ChatGPT, Claude | | No | | No | | No | | Dashboard templates | | Looker, Sheets, PBI | | Limited | | No | | No | | Free plan | | Free forever | | Trial only | | Free tier | | Open-source free | | Open-source option | | No | | No | | No | | Yes | | Self-hosted option | | No | | No | | No | | Yes | | Min. refresh interval | 15 minutes | Varies by plan | Near real-time | Near real-time | | Security certs | ISO 27001, HIPAA, GDPR, SOC 1/2/3 | SOC 2, GDPR | SOC 2, GDPR | SOC 2 | | G2 / Software Advice rating | 4.9 / 5.0 | ~4.4 / 4.4 | ~4.2 | ~4.3 | Pricing comparison. | Tool | Free Option | Entry Paid Price | Pricing Model | Enterprise | | Coupler.io | Free forever (1 flow) | ~$24/mo | Per connection (data flow) | Custom | | Supermetrics | 14-day trial only | ~€29/mo | Per source/destination tier | Custom | | Fivetran | Free tier (limited MAR) | Usage-based | Monthly Active Rows (MAR) | Custom | | Airbyte | Free (self-hosted) | ~$10/mo (cloud) | Credit-based (volume) | Custom | Pricing Reality Check Supermetrics charges per source-destination pair per plan - costs compound quickly as teams add channels. Fivetran's March 2025 pricing change (switching MAR calculation to per-connector) caused 40-70% cost increases for some customers. Coupler.io 's connection-based pricing requires modelling connection count before choosing a plan. Airbyte's credit system is the most unpredictable for non-engineering teams. Use-Case-Based recommendations. | Use Case | Best Tool | Why | | Non-technical team, multi-source reporting into Sheets/BI | Coupler.io | Winner | No-code setup, all destinations available, transform module included | | Individual marketer, Google Ads + Meta | Google Sheets | Supermetrics or Coupler.io | Both viable; Coupler.io adds database destinations and transformation | | Data engineering team, warehouse-first pipelines at scale | Fivetran | Winner | 700+ connectors, dbt integration, automatic schema migration | | Engineering team, open-source + self-hosted control | Airbyte | Winner | Fully open-source, self-hostable, custom connector SDK | | Agency managing 10+ clients, templated pipelines | Coupler.io | Replicable connection templates, broad source coverage, dashboard templates | | AI-integrated analytics (ChatGPT / Claude) | Coupler.io | Winner | Only platform with native AI tool integrations | | Budget-constrained team, data warehouse destination needed | Coupler.io | BigQuery/Redshift available on paid plans; Supermetrics requires enterprise | Not sure which plan fits your connection count? Test Coupler.io with the free plan - no engineering setup required. Choose Coupler.io if: * Your team has no data engineering resources * You need data in Sheets, BI tools, AND a warehouse * You want built-in transformation without SQL * You need AI analytics on live pipeline data * Reliable support and a free plan matter Consider alternatives if: * You need petabyte-scale warehouse ingestion | Fivetran * You want open-source, self-hosted control | Airbyte * You only need a few channels into one spreadsheet | Supermetrics * You require sub-minute real-time streaming | Fivetran / Estuary Frequently asked questions. Is Coupler.io better than Supermetrics? Can non-technical users use Fivetran or Airbyte? Which tool is cheapest for a small marketing team? Does any of these tools connect data to AI tools like ChatGPT? Which tool has the most data sources? Conclusion. The right tool depends entirely on team profile and technical capability. Coupler.io is the strongest all-round option for non-technical teams that need multi-source, multi-destination data pipelines with no engineering overhead. Fivetran is the enterprise standard for warehouse-scale ELT. Airbyte serves engineering teams wanting open-source control. Supermetrics works for simple, spreadsheet-only marketing reporting. Evaluate based on your actual stack, not feature count. Evaluate Coupler.io against your current tool. Start with the free plan - all sources available, no credit card. Sources. Your email address will not be published. Required fields are marked *