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From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a Staff Software Engineer to join our ETL Platform team.
We own the core platform that backs Census’ sync engine. We are responsible for keeping our customer data flowing smoothly - on time, every time. We design and implement projects like our recent Sync Tracking overhaul - enabling us to capture, store, and process huge datasets, giving customers complete visibility into what data is flowing through our pipes; providing the capability to verify that every record is getting where it needs to go. We manage a constantly scaling and resizing fleet of machines to handle the dynamic needs of our customers, so one could call us the shadow infrastructure team as well.
This is a full-time, hybrid position based out of either our Toronto office.
Technologies You'll Use
- Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.
- Expertise in at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc.
- Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus)
- Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus)
- Familiarity with leading cloud providers, such as GCP, AWS, or Azure
- Experience being on-call
What You’ll Do
- Make valuable contributions to the deepest recesses of our tech stack – including writing typesafe Ruby and Rails with Sorbet, building performant Kotlin microservices, managing highly available Spark clusters, working on deterministic Temporal workflows, and Terraforming all the things in AWS.
- Think in Parquet, live in cloud storage, and have data flowing through your veins.
- Operate in hostile territory on all sides–building and managing a data diffing ETL engine that operates across every type of data warehouse and SQL dialect imaginable on data you don’t own or control, and send it to countless permutations of destinations that could respond any number of unpredictable ways.
- Be a reliable and steadfast operator, participating in the team on-call rotation to help diagnose, triage and fix performance bottlenecks and gnarly edge-cases our customers discover. You’ll leave the campsite cleaner than you found it.
- Work closely with our product team to help design and develop new features to improve data pipeline observability and debuggability, putting you on a first name basis with the data teams of many companies you have come to love and respect.
Skills We’re Looking For
- Ownership - Experience being on-call, driving system quality higher, managing costs and constantly recognizing areas to simplify while always improving composability
- Autonomous and Self-Motivated - thrives in a high-trust environment, driving projects forward and making independent decisions with confidence
- Adaptable and Resilient - comfortably navigates ambiguity and views challenges as opportunities for growth
- Driven and Persistent - maintains a strong focus on goals, confidently overcoming obstacles and eagerly seeking innovative solutions to exceed expectations
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range:
$167,548—$209,435 CAD
Perks and Benefits
- 100% employer-paid medical insurance
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
- RSU stock grants
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
**May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
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Fivetran 소개

Fivetran
Series DFivetran is a data integration platform that automates data pipelines from various sources to cloud data warehouses. The company provides automated connectors and data synchronization services for analytics teams.
501-1,000
직원 수
Oakland
본사 위치
$5.6B
기업 가치
리뷰
2.3
1개 리뷰
워라밸
3.0
보상
3.0
문화
2.0
커리어
3.0
경영진
2.0
15%
친구에게 추천
장점
Good initial interview process
Promising company reputation
Positive early impressions
단점
Toxic company behavior during interviews
Misleading final interview process
Poor interview experience
연봉 정보
71개 데이터
Junior/L3
Junior/L3 · Business Development Representative (BDR)
22개 리포트
$112,909
총 연봉
기본급
$70,906
주식
-
보너스
$14,203
$73,365
$179,464
면접 경험
2개 면접
난이도
3.5
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 50%
부정 50%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Presentation/Demo
5
Hiring Manager Interview
6
Offer
자주 나오는 질문
Technical Knowledge
Product Demonstration
Sales Experience
Behavioral/STAR
Client Interaction
뉴스 & 버즈
Fivetran opens new London office to be closer to partners and customers - IT Europa
IT Europa
News
·
4d ago
AI Data Integration Momentum Aligns with FTSE Ecosystem as Fivetran - Kalkine Media
Kalkine Media
News
·
6d ago
Fivetran Opens London Office to Meet Accelerating Demand for AI - Business Wire
Business Wire
News
·
6d ago
Data Pipeline Failures Cost Enterprises $3 Million per Month, Fivetran Benchmark Finds - StorageNewsletter
StorageNewsletter
News
·
1w ago