Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,160 postings in the last year. Stated ranges, not salaries paid.
Engineering Team Lead, Data Engineer
Draper, UT
Actively hiring, first seen by us today- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingLead, mentor, and grow a cross-functional engineering and data team, fostering a culture of technical excellence, ownership, and collaboration.
You will own the stack, working collaboratively with systems architects to design the most effective data and analytics platform.
Write code, review code, and architect solutions.
From the employer’s posting
What You’ll Do Lead, mentor, and grow a cross-functional engineering and data team, fostering a culture of technical excellence, ownership, and collaboration. Own end-to-end delivery of your squad's product area — from early involvement in product discovery and design validation through implementation, testing, deployment, and post-ship monitoring. You will own the stack, working collaboratively with systems architects to design the most effective data and analytics platform.
Lead, mentor, and grow a cross-functional engineering and data team, fostering a culture of technical excellence, ownership, and collaboration. Own end-to-end delivery of your squad's product area — from early involvement in product discovery and design validation through implementation, testing, deployment, and post-ship monitoring. You will own the stack, working collaboratively with systems architects to design the most effective data and analytics platform. Write code, review code, and architect solutions. You understand the codebase deeply enough to make informed tradeoffs and unblock your team.
Own end-to-end delivery of your squad's product area — from early involvement in product discovery and design validation through implementation, testing, deployment, and post-ship monitoring. You will own the stack, working collaboratively with systems architects to design the most effective data and analytics platform. Write code, review code, and architect solutions. You understand the codebase deeply enough to make informed tradeoffs and unblock your team. Partner with the Product team as a collaborative equal — validating technical feasibility early, pushing back when scope is unrealistic, and advocating for quality and stability as first-class priorities alongside new features.
Education & alternatives
- Strategic thinker who can connect engineering priorities to product and business outcomes. - Bachelor's degree in Computer Science, Engineering, or equivalent experience We know many women do not apply for a job if they don't perfectly fit the description. We want you to apply anyway.
About Canopy
Canopy is a fast-growing SaaS company in Draper, Utah building simple, efficient software for accounting firms.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 7, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
From 11,507 similar postings that came down. Coming down is not always a hire.
Canopy is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Kotlin
- Python
- SQL
- TypeScript
- Docker
- Kubernetes
- React
Where the posting names them
- Deep understanding of microservice architecture, RESTful API design, distributed systems, and modern frontend frameworks. - Strong hands-on proficiency in one or more of our core technologies (Python, Java, Kotlin, TypeScript/React), with the ability and willingness to learn and work across the stack. Why You Want to Work Here
- 5+ years of professional experience in software development and/or data engineering, with at least 2 years in a technical leadership or management capacity. - Deep understanding of SQL, data modeling, and analytics/reporting - Experience with cloud platforms and container orchestration (Docker, Kubernetes).
- Help the team break work down, manage flow, and ensure design, engineering, and QA operate in parallel rather than in sequential phases. - Champion high-quality code through design reviews, code reviews, and robust CI/CD pipelines (Docker, GitHub Actions, Kubernetes). Own the definition of "done" — tested, stable, monitored, and maintainable. - Coach engineers on career growth, system design, and effective collaboration. Because you work alongside your team daily, feedback is immediate, specific, and grounded in real work.
- Deep understanding of SQL, data modeling, and analytics/reporting - Experience with cloud platforms and container orchestration (Docker, Kubernetes). - Proven success leading technical teams and mentoring engineers of varied seniority levels.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
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Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Engineering Team Lead, Data Engineer
Canopy, Draper, UT
About Us
Canopy is a fast-growing SaaS company in Draper, Utah building simple, efficient software for accounting firms. We are looking to revolutionize the accounting space with modern, user-friendly software for a neglected industry.
We aim to help our clients unlock the firm they’ve always wanted with our Practice Management Suite. We place a strong emphasis on delighting our customers, spotting and solving problems, and being good people along the way. And we just secured $70M in Series C funding to help us fulfill that mission.
Click here to see why our clients (and investors) love Canopy.
Interested in learning more about Canopy & the industry? Check out our blog here where you can find great information on our product features, industry news, practice management, and more!
The Opportunity
We’re seeking an Engineering Team Lead to lead engineering efforts on our Embedded Analytics team. As an Engineering Team Lead, you will combine deep technical expertise with strong leadership and a product-driven mindset. You’ll lead a high-performing, cross-functional squad of Full Stack Application Engineers, Data Engineers, and QA Engineers to build, scale, and evolve the systems that power our customer-facing reporting and analytics features. This role bridges hands-on technical work, architectural leadership, and people development — ideal for someone who thrives at the intersection of technology, strategy, and team impact.
This role is a unique opportunity to guide the transformation of our embedded analytics into a new era of AI enabled business intelligence, providing high performing, trustworthy, and actionable reporting and analytics to our customers at a higher scale and speed than has been possible before.
What You’ll Do
- Lead, mentor, and grow a cross-functional engineering and data team, fostering a culture of technical excellence, ownership, and collaboration.
- Own end-to-end delivery of your squad's product area — from early involvement in product discovery and design validation through implementation, testing, deployment, and post-ship monitoring. You will own the stack, working collaboratively with systems architects to design the most effective data and analytics platform.
- Write code, review code, and architect solutions. You understand the codebase deeply enough to make informed tradeoffs and unblock your team.
- Partner with the Product team as a collaborative equal — validating technical feasibility early, pushing back when scope is unrealistic, and advocating for quality and stability as first-class priorities alongside new features.
- Balance feature work against bugs, tech debt, performance, and reliability. Work collaboratively with Product leadership to allocate engineering time towards the stability and high performance needs of our customers.
- Drive architectural decision-making, balancing innovation, scalability, and delivery speed.
- Promote engineering best practices, including clean architecture, testing, monitoring, and performance optimization.
- Help the team break work down, manage flow, and ensure design, engineering, and QA operate in parallel rather than in sequential phases.
- Champion high-quality code through design reviews, code reviews, and robust CI/CD pipelines (Docker, GitHub Actions, Kubernetes). Own the definition of "done" — tested, stable, monitored, and maintainable.
- Coach engineers on career growth, system design, and effective collaboration. Because you work alongside your team daily, feedback is immediate, specific, and grounded in real work.
- Drive AI and agentic coding tool adoption within your squad — leading by example, partnering with the Platform team on standards and guardrails, and helping your team understand how to use AI effectively while avoiding common pitfalls.
- Build an inclusive and motivated team culture centered on transparency, ownership, and impact.
- Collaborate with recruiting to attract and retain top engineering talent.
- Establish performance goals, track key metrics, and ensure operational excellence in delivery.
What We’re Looking For
- 5+ years of professional experience in software development and/or data engineering, with at least 2 years in a technical leadership or management capacity.
- Deep understanding of SQL, data modeling, and analytics/reporting
- Experience with cloud platforms and container orchestration (Docker, Kubernetes).
- Proven success leading technical teams and mentoring engineers of varied seniority levels.
- Experience with or strong enthusiasm for AI-assisted development tools and workflows.
- Excellent communication and collaboration skills — able to bridge the gap between technical and non-technical audiences.
- Strategic thinker who can connect engineering priorities to product and business outcomes.
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
We know many women do not apply for a job if they don't perfectly fit the description. We want you to apply anyway.
Bonus Points If You Have
- Deep understanding of microservice architecture, RESTful API design, distributed systems, and modern frontend frameworks.
- Strong hands-on proficiency in one or more of our core technologies (Python, Java, Kotlin, TypeScript/React), with the ability and willingness to learn and work across the stack.
Why You Want to Work Here
🌴 Flexible Paid Time Off - you’re actually encouraged to use, plus 10 company holidays!
❤️🩹 Health Benefits - including Medical, Dental, and Vision and an HSA Match.
💰 401(k) - we match 100% up to 3% of your contribution. Eligibility is immediate with 100% vesting.
🧠 Mental Health - all employees have access to Impact Suite & to our Employee Assistance Program (EAP).
👶 Paid New Parent Leave & Birthing Parent Leave - so you’re able to care for your little ones.
➕ Supplemental Benefits - including 100% company paid Basic Life & AD&D insurance and long & short-term disability coverage.
🌟 Nectar - our peer-to-peer recognition program to help our employees recognize the amazing work being done by other Canopians!
🥳 Company Events - including monthly company-wide meetings, summer parties, and more.
💡 ERG Committees - to plan initiatives around continuing education, community outreach, recruiting, onboarding, and more.
☕ Fully-stocked kitchen - Keto? Vegan? Flexitarian? Mandalorian? We’ve got you covered.
Our Values
We approach our work every day with a few things in mind:
🔑 Own - We own this place! We focus on outcomes, holding ourselves & each other accountable.
🏆 Win - We win by delighting our customers with the very best products and services.
👍 Do Good - We work hard to be good people!
💡 Embrace Curiosity & Candor - We approach everything with curiosity & we understand that candor is kindness and give the gift of feedback.
Act Startup Fast - We know the best way to become a world-class company is to always act like a tiny startup: fast, hungry, intense, and scrappy. But especially fast.
To learn more about us & our values, click here.
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- Pay
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- Location & working pattern
Draper, UT
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