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HomeCompaniesSpringfinancialSenior Data Engineer

Senior Data Engineer

Springfinancial · Vancouver, British Columbia, V7X 1M8, Canada · Hybrid · Active · BambooHR

Job facts

FieldValue
CompanySpringfinancial
TitleSenior Data Engineer
Normalized title-
Department / teamBusiness Intelligence
LocationVancouver, Canada
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2025-11-04 / 2026-05-30
Changed / last seen2026-06-17 / 2026-06-19

Related slices

PageWhat it containsOpen
Company jobsActive postings from Springfinancial.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Vancouver.Open
Department jobsActive postings in Business Intelligence.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanySpringfinancial
Source17c90926-410b-4c78-ad60-b60b091d86a1
ATS providerBambooHR

Description

About us: Spring Financial  is a Canadian  financial technology company  focused on making every day financial services  simpler, faster, and more accessible . We build technology that helps Canadians  build credit, save money, and access lending products  without unnecessary friction. Our platforms allow customers to apply and manage their finances  online, by text, or over the phone , making the experience convenient and flexible. Since launching in 2014, Spring has grown into one of Canada’s largest fintechs, with over  250,000+ product originations  across credit-building products, personal lending, and mortgage solutions. We’re a fast-growing, product-driven team that values  practical solutions, strong execution, and thoughtful collaboration . We give people ownership, trust them to make decisions, and focus on building systems that scale reliably. If you’re interested in working on  real-world fintech platforms used by hundreds of thousands of Canadians , Spring offers the opportunity to make a tangible impact through well-built technology. NOTE: This is a full-time, permanent, hybrid position in downtown Vancouver. 3 set days in the office and 2 WFH. About the role: As a Senior Data Engineer at Spring, you are a technical leader and strategic problem-solver who architects high-impact, resilient, and scalable data infrastructure — working across our core stack of AWS, Snowflake, dbt, and Airflow to deliver pipelines and data platforms that are secure, observable, and aligned with business needs. This role owns the design and execution of complex data initiatives, navigating trade-offs between speed and sustainability and ensuring our data architecture scales with the business. A strong advocate for AI-augmented engineering, you'll shape both how the team builds (e.g., using AI for testing, schema discovery, and code generation) and what the platform enables (e.g., automated QA, natural language interfaces) — modeling responsible AI usage and helping others incorporate it thoughtfully into development workflows. Working closely with senior stakeholders across Finance, Risk, Product, Analytics, and Engineering, this role helps frame problems, define SLAs, manage risk, and align data architecture with business goals — influencing both platform strategy and organizational standards. What you’ll do: Platform & Pipeline Engineering Architect and lead delivery of scalable, secure, and reliable data pipelines and platform components across AWS and Snowflake Scope and drive initiatives to modernize legacy data flows, unify batch and streaming sources, and enable self-serve analytics across the organization. Define and enforce engineering standards around testing, observability, security, and CI/CD within data systems. AI Integration Champion the integration of AI capabilities within data pipelines (e.g., anomaly detection, automated tagging) and within development practices (e.g., assisted testing, documentation). Stay current on how agentic and AI-driven workflows are changing data platform requirements, and help the team adapt accordingly. Cross-Functional Partnership Collaborate with technical and business leaders to clarify ambiguous problems, assess risks, and propose scalable, extensible solutions. Partner with Analytics, ML, and Finance and other business teams to deliver data with appropriate latency, accuracy, and governance for their use cases. Translate between business needs and technical constraints clearly — comfortable in a room with both engineers and executives. Technical Leadership Lead technical design and code reviews, and support the ongoing evolution of our data architecture. Take ownership of how the team approaches hard problems — setting a high bar for quality, documentation, and engineering craft without needing to be asked. Help less experienced engineers grow by sharing context, giving direct feedback, and modeling good technical judgment. What we're looking for: Required Expertise in designing and scaling data pipelines using Snowflake, and AWS-native tools (e.g., Glue, Lambda, Redshift, Step Functions) Strong experience with real-time data systems, including Kafka, Kinesis, Flink, or Spark Streaming Deep knowledge of data modeling, schema evolution, privacy-preserving design, and secure data architectures Fluency in Python and SQL; proficiency with infrastructure-as-code (e.g., Terraform or CDK) Track record of embedding AI into both platform functionality and development workflows Proven ability to align data engineering with business value, and to lead cross-functional initiatives from concept through delivery Excellent communication and collaboration skills; trusted advisor across engineering and business teams Demonstrated ability to mentor and influence engineers, set standards, and guide technical direction Nice to have Experience with dbt or analytics engineering patterns. Familiarity with ML platform tooling or feature store design. Background in fintech, credit risk, or other regulated data environments. What We Will Give You: Competitive annual salary ranging from  $120,000 to $140,000 , reflective of experience and impact. Comprehensive benefits package, including extended health, dental, and vision coverage — with 100% of monthly premiums covered by the Spring. GRSP matching program to support your long-term financial goals. A modern, collaborative workspace in the heart of downtown Vancouver. Ongoing career growth opportunities Please note : Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone. Thank you for your interest! We appreciate your time and look forward to reviewing your application!

Full job record

Job ID194e9076667bf7ab3c678a504a1966b1b2363921
Org ID441c9ac5-680b-4f37-ab13-d30789db2e26
Source ID17c90926-410b-4c78-ad60-b60b091d86a1
Board ID17c90926-410b-4c78-ad60-b60b091d86a1
Providerbamboohr
Provider Job Key257
TitleSenior Data Engineer
Normalized Title
Statusactive
Activeyes
Location TextVancouver, British Columbia, V7X 1M8, Canada
DepartmentBusiness Intelligence
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryCanada
Region
CityVancouver
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://springfinancial.bamboohr.com/careers/257
Apply URLhttps://springfinancial.bamboohr.com/careers/257
First Seen At2026-05-30 05:41:49Z
Last Seen At2026-06-19 10:27:39Z
Last Checked At2026-06-19 10:27:39Z
Last Changed At2026-06-17 10:35:24Z
Inactive At
Source Posted At2025-11-04 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=springfinancial/date=2026-06-19/2026-06-19T10-27-38-687Z-3a0247ffc81aa7587595fd17d627ca9fe84c9c341145c85bdaea2d90cfd90578.json
Event Fields
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Extensions
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    "description": "<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">About us:</span><br><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><a href=\"https://springfinancial.ca/\" target=\"_blank\" rel=\"noopener noreferrer\">Spring Financial</a> is a Canadian <span style=\"font-weight: bold\">financial technology company</span> focused on making every day financial services <span style=\"font-weight: bold\">simpler, faster, and more accessible</span>.</span><br><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">We build technology that helps Canadians <span style=\"font-weight: bold\">build credit, save money, and access lending products</span> without unnecessary friction. Our platforms allow customers to apply and manage their finances <span style=\"font-weight: bold\">online, by text, or over the phone</span>, making the experience convenient and flexible.<br>Since launching in 2014, Spring has grown into one of Canada’s largest fintechs, with over<span style=\"font-weight: bold\"> 250,000+ product originations</span> across credit-building products, personal lending, and mortgage solutions.</span><br><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">We’re a fast-growing, product-driven team that values <span style=\"font-weight: bold\">practical solutions, strong execution, and thoughtful collaboration</span>. We give people ownership, trust them to make decisions, and focus on building systems that scale reliably.<br><br>If you’re interested in working on <span style=\"font-weight: bold\">real-world fintech platforms used by hundreds of thousands of Canadians</span>, Spring offers the opportunity to make a tangible impact through well-built technology.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">NOTE: This is a full-time, permanent, hybrid position in downtown Vancouver. 3 set days in the office and 2 WFH.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">About the role: <br></span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">As a Senior Data Engineer at Spring, you are a technical leader and strategic problem-solver who architects high-impact, resilient, and scalable data infrastructure — working across our core stack of AWS, Snowflake, dbt, and Airflow to deliver pipelines and data platforms that are secure, observable, and aligned with business needs. This role owns the design and execution of complex data initiatives, navigating trade-offs between speed and sustainability and ensuring our data architecture scales with the business. A strong advocate for AI-augmented engineering, you'll shape both how the team builds (e.g., using AI for testing, schema discovery, and code generation) and what the platform enables (e.g., automated QA, natural language interfaces) — modeling responsible AI usage and helping others incorporate it thoughtfully into development workflows. Working closely with senior stakeholders across Finance, Risk, Product, Analytics, and Engineering, this role helps frame problems, define SLAs, manage risk, and align data architecture with business goals — influencing both platform strategy and organizational standards.</span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><br><span style=\"font-weight: bold\">What you’ll do:<br><span style=\"font-weight: bold\">Platform &amp; Pipeline Engineering </span></span></span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Architect and lead delivery of scalable, secure, and reliable data pipelines and platform components across AWS and Snowflake</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Scope and drive initiatives to modernize legacy data flows, unify batch and streaming sources, and enable self-serve analytics across the organization.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Define and enforce engineering standards around testing, observability, security, and CI/CD within data systems.</span><br></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">AI Integration </span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Champion the integration of AI capabilities within data pipelines (e.g., anomaly detection, automated tagging) and within development practices (e.g., assisted testing, documentation).</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Stay current on how agentic and AI-driven workflows are changing data platform requirements, and help the team adapt accordingly.</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Cross-Functional Partnership </span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Collaborate with technical and business leaders to clarify ambiguous problems, assess risks, and propose scalable, extensible solutions.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Partner with Analytics, ML, and Finance and other business teams to deliver data with appropriate latency, accuracy, and governance for their use cases.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Translate between business needs and technical constraints clearly — comfortable in a room with both engineers and executives.</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Technical Leadership </span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Lead technical design and code reviews, and support the ongoing evolution of our data architecture.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Take ownership of how the team approaches hard problems — setting a high bar for quality, documentation, and engineering craft without needing to be asked.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Help less experienced engineers grow by sharing context, giving direct feedback, and modeling good technical judgment.<br></span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">What we're looking for: </span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Required </span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Expertise in designing and scaling data pipelines using Snowflake, and AWS-native tools (e.g., Glue, Lambda, Redshift, Step Functions)</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong experience with real-time data systems, including Kafka, Kinesis, Flink, or Spark Streaming</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Deep knowledge of data modeling, schema evolution, privacy-preserving design, and secure data architectures</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Fluency in Python and SQL; proficiency with infrastructure-as-code (e.g., Terraform or CDK)</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Track record of embedding AI into both platform functionality and development workflows</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Proven ability to align data engineering with business value, and to lead cross-functional initiatives from concept through delivery</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Excellent communication and collaboration skills; trusted advisor across engineering and business teams</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Demonstrated ability to mentor and influence engineers, set standards, and guide technical direction</span></li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\"><br>Nice to have </span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with dbt or analytics engineering patterns.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Familiarity with ML platform tooling or feature store design.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Background in fintech, credit risk, or other regulated data environments.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">What We Will Give You: </span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Competitive annual salary ranging from<span style=\"font-weight: bold\"> $120,000 to $140,000</span>, reflective of experience and impact.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Comprehensive benefits package, including extended health, dental, and vision coverage — with 100% of monthly premiums covered by the Spring.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">GRSP matching program to support your long-term financial goals.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">A modern, collaborative workspace in the heart of downtown Vancouver.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Ongoing career growth opportunities</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Please note</span>: Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone.</span></p>\n<p><br><br></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Thank you for your interest! We appreciate your time and look forward to reviewing your application!</span><br></p>",
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