Home › Companies › Springfinancial › Senior Data Engineer
Senior Data Engineer
Springfinancial · Vancouver, British Columbia, V7X 1M8, Canada · Hybrid · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Springfinancial |
| Title | Senior Data Engineer |
| Normalized title | - |
| Department / team | Business Intelligence |
| Location | Vancouver, Canada |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2025-11-04 / 2026-05-30 |
| Changed / last seen | 2026-06-17 / 2026-06-19 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Springfinancial. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Vancouver. | Open |
| Department jobs | Active postings in Business Intelligence. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Springfinancial |
| Source | 17c90926-410b-4c78-ad60-b60b091d86a1 |
| ATS provider | BambooHR |
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 ID | 194e9076667bf7ab3c678a504a1966b1b2363921 |
| Org ID | 441c9ac5-680b-4f37-ab13-d30789db2e26 |
| Source ID | 17c90926-410b-4c78-ad60-b60b091d86a1 |
| Board ID | 17c90926-410b-4c78-ad60-b60b091d86a1 |
| Provider | bamboohr |
| Provider Job Key | 257 |
| Title | Senior Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Vancouver, British Columbia, V7X 1M8, Canada |
| Department | Business Intelligence |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | Canada |
| Region | — |
| City | Vancouver |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://springfinancial.bamboohr.com/careers/257 |
| Apply URL | https://springfinancial.bamboohr.com/careers/257 |
| First Seen At | 2026-05-30 05:41:49Z |
| Last Seen At | 2026-06-19 10:27:39Z |
| Last Checked At | 2026-06-19 10:27:39Z |
| Last Changed At | 2026-06-17 10:35:24Z |
| Inactive At | — |
| Source Posted At | 2025-11-04 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=springfinancial/date=2026-06-19/2026-06-19T10-27-38-687Z-3a0247ffc81aa7587595fd17d627ca9fe84c9c341145c85bdaea2d90cfd90578.json |
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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 & 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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