Qureos Mentor

Digible, Inc

<div><h4 class="jobSectionHeader">Company Overview:</h4> 


Digible is a privately owned and operated digital marketing company founded in 2017 with a mission to bring cutting-edge solutions to the multifamily industry. We offer a full suite of digital services, alongside Fiona, our predictive analytics platform&mdash;the first of its kind.

At Digible, we take pride in our collaborative, transparent, and authentic culture. Since 2021, we've been recognized as a Top Workplace in Colorado and secured the #8 spot in the Best Places to Work Multifamily rankings. From our hiring process to our All Hands meetings and Town Halls, our values are at the core of everything we do.

We believe diversity fuels innovation, and we strive to create an inclusive environment where everyone can bring their authentic selves to work. If you're ready to do the best work of your career, we'd love to have you on the team! 


Digible Core Values:
<ul>
<li>Authenticity - The commitment to be steadfast and genuine with our actions and communication toward everyone we touch.</li>
<li>Curiosity - The belief that a deep and fundamental curiosity (the &quot;why&quot;) in our work is vital to company innovation and evolution.</li>
<li>Focus - The collective will to remain completely devoted and ultimately accountable to our deliverables.</li>
<li>Humility - The recognition and daily practice that &quot;we&quot; is always greater than &quot;I&quot;.</li>
<li>Happiness - The decision to prioritize passion and love for what we do above everything else.</li></ul> 


The Role:

Digible is hiring two Senior Data Engineers to join our Data Platform team! These are deeply hands-on roles; building, optimizing, and maintaining the foundational data systems that power our software products. You'll own our ingestion and base data layers, partner with Product Engineering on shared modeling, and enable upstream teams to own their domain data well through best practices, governance, automation, and tooling.

This role reports to our Director of Data and sits within a ~20-person technology department. We're hiring for two complementary focus areas:
<ul>
<li>Platform Operations &mdash; You lean toward reliability, data quality, observability, and security. You care about the health and resilience of the data platform itself.</li>
<li>Software Engineering &mdash; You lean toward API integrations, pipeline development, dbt modeling, and driving simplicity. You care about building clean, scalable data capabilities.</li>
</ul>
Both roles live within the data platform and support software products &mdash; not business analytics. You'll partner with Product Engineering, serve downstream data consumers, and keep the end user in mind throughout.

If you're driven by delivering real value to customers, live in SQL and Python, leverage AI to accelerate your work, and believe data quality is a product &mdash; we'd love to meet you.

You'll love this job if you:
<ul>
<li>Embrace Digible's core values: authenticity, curiosity, focus, humility, and happiness</li>
<li>Enjoy writing production-grade SQL and Python, and feel at home in orchestration frameworks (we use Prefect)</li>
<li>Have experience working across the modern data stack (we use dbt, Snowflake, Fivetran)</li>
<li>Take pride in data reliability, operational excellence, and building pipelines that are observable, resilient, and easy to support</li>
<li>Enjoy diving into third-party APIs and unfamiliar documentation, transforming specs into clear, maintainable ingestion workflows</li>
<li>Use AI tools as a natural part of your engineering workflow &mdash; you see AI as an accelerator for how you build, debug, and deliver</li>
<li>Have an insatiable appetite for learning and always want to be working on your craft</li>
<li>Approach challenges with a customer-first mentality and curiosity</li>
<li>Thrive in ambiguity, leaning on resourcefulness and customer understanding in an open and empathetic culture</li>
<li>Are excited to contribute to team growth through pairing and shared learning</li>
</ul>
What You'll Do
<ul>
<li>Own our Bronze data layer: build and maintain ingestion pipelines from third-party APIs, transform via dbt, orchestrate via Prefect</li>
<li>Partner with Product and Engineering on Silver-layer modeling &mdash; ensuring data is clean, documented, and governed as it moves toward consumption</li>
<li>Enable upstream teams to own their Gold-layer data well &mdash; establishing best practices, governance standards, pipeline automation, and tooling so teams can build confidently without it becoming the wild west</li>
<li>Troubleshoot pipeline failures and data quality issues, driving toward root cause and long-term fixes</li>
<li>Contribute to platform evolution &mdash; identifying opportunities to optimize, refactor, or scale our data infrastructure</li>
<li>Stay informed on developments in the modern data stack and introduce tools and processes that improve our development workflows</li>
</ul>
What you should have:
<ul>
<li>5+ years of data engineering experience, including at least 2 years in a senior capacity</li>
<li>Strong proficiency with SQL, Python, ELT patterns, and data modeling</li>
<li>Hands-on experience with modern data stack tools (Snowflake, dbt, orchestration frameworks, BI tools)</li>
<li>Strong proficiency with Git and version control practices</li>
<li>Experience focused on system resilience, observability, and operational excellence across data platforms</li>
<li>Experience with Docker and DevOps practices (especially for the Platform Operations focus area)</li>
<li>Demonstrated fluency with AI-assisted development tools in your engineering workflow</li>
<li>Experience working with modestly-sized, fast-paced teams</li>
<li>Strong communication skills and ability to partner across engineering and product teams</li>
<li>Working knowledge of iterative, value-focused technical delivery</li>
</ul>
What Will Set You Apart:
<ul>
<li>Familiarity with digital marketing data or multifamily/real estate industry</li>
<li>Experience with data platform security practices</li>
</ul>
Physical Requirements
<ul>
<li>Prolonged periods sitting at a desk and working on a computer.</li>
<li>Must be able to lift up to 15 pounds at times</li>
</ul>
This role is open to candidates located within the United States.

While this job description outlines the core expectations of the role, it's not a full list of everything you'll do at Digible. We believe in leaning in by hitting your key goals, sharing insights, and finding new ways to elevate performance, process, and client success.

Pay, perks, and such:
<ul>
<li>Salary Range: $125,000 - $155,000</li>
<li>4-Day Work Week (32 Hour Work Week)</li>
<li>WFA (Work From Anywhere) OR 1 Day / Week Remote</li>
<li>Discretionary Bonus</li>
<li>We offer 3 weeks of PTO as well as Sick leave, and Bereavement</li>
<li>We offer 11 paid holidays! (not counting ones that fall on Friday!)</li>
<li>401(k) + Match</li>
<li>75% employer paid health benefits (Medical, Dental, and Vision)</li>
<li>Mental and Physical Wellness Reimbursement Benefit</li>
<li>$1000/year travel fund for employees who have been with Digible 3+ years</li>
<li>Paid Parental Leave</li>
<li>Dog-Friendly Office</li>
<li>Company-Wide Social Events</li>
<li>Weekly Lunches and Snacks for in-office employees!</li>
</ul><div><h5 class="jobSectionHeader">HEADS UP! We believe in transparency throughout our hiring process. To help us ensure a great fit, we'll ask you to share a few professional references during the hiring process who can speak to your experience and skills. It's all part of our commitment to open, honest communication and our core values: Focus, Authenticity, Humility, Curiosity, and Happiness.</h5></div></div>

Senior Data Engineer

<div>
 
 Company Overview:
 
 
 
 Digible is a privately owned and operated digital marketing company founded in 2017 with a mission to bring cutting-edge solutions to the multifamily industry. We offer a full suite of digital services, alongside Fiona, our predictive analytics platform&mdash;the first of its kind.
 
 
 At Digible, we take pride in our collaborative, transparent, and authentic culture. Since 2021, we've been recognized as a Top Workplace in Colorado and secured the #8 spot in the Best Places to Work Multifamily rankings. From our hiring process to our All Hands meetings and Town Halls, our values are at the core of everything we do.
 
 
 We believe diversity fuels innovation, and we strive to create an inclusive environment where everyone can bring their authentic selves to work. If you're ready to do the best work of your career, we'd love to have you on the team!
 
 
 
 Digible Core Values:
 
 
 
 <ul>
 <li>
 
 Authenticity
 
 - The commitment to be steadfast and genuine with our actions and communication toward everyone we touch.
 </li>
 <li>
 
 Curiosity
 
 - The belief that a deep and fundamental curiosity (the "why") in our work is vital to company innovation and evolution.
 </li>
 <li>
 
 Focus
 
 - The collective will to remain completely devoted and ultimately accountable to our deliverables.
 </li>
 <li>
 
 Humility
 
 - The recognition and daily practice that "we" is always greater than "I".
 </li>
 <li>
 
 Happiness
 
 - The decision to prioritize passion and love for what we do above everything else.
 
 
 </li>
 </ul>
 
 The Role:
 
 
 
 Digible is hiring
 
 two
 
 Senior Data Engineers to join our Data Platform team! These are deeply hands-on roles; building, optimizing, and maintaining the foundational data systems that power our software products. You'll own our ingestion and base data layers, partner with Product Engineering on shared modeling, and enable upstream teams to own their domain data well through best practices, governance, automation, and tooling.
 
 
 This role reports to our Director of Data and sits within a ~20-person technology department. We're hiring for two complementary focus areas:
 
 
 <ul>
 <li>
 
 Platform Operations
 
 &mdash; You lean toward reliability, data quality, observability, and security. You care about the health and resilience of the data platform itself.
 </li>
 <li>
 
 Software Engineering
 
 &mdash; You lean toward API integrations, pipeline development, dbt modeling, and driving simplicity. You care about building clean, scalable data capabilities.
 
 
 </li>
 </ul>
 Both roles live within the data platform and support software products &mdash; not business analytics. You'll partner with Product Engineering, serve downstream data consumers, and keep the end user in mind throughout.
 
 
 If you're driven by delivering real value to customers, live in SQL and Python, leverage AI to accelerate your work, and believe data quality is a product &mdash; we'd love to meet you.
 
 
 
 You'll love this job if you:
 
 
 
 <ul>
 <li>
 Embrace Digible's core values: authenticity, curiosity, focus, humility, and happiness
 </li>
 <li>
 Enjoy writing production-grade SQL and Python, and feel at home in orchestration frameworks (we use Prefect)
 </li>
 <li>
 Have experience working across the modern data stack (we use dbt, Snowflake, Fivetran)
 </li>
 <li>
 Take pride in data reliability, operational excellence, and building pipelines that are observable, resilient, and easy to support
 </li>
 <li>
 Enjoy diving into third-party APIs and unfamiliar documentation, transforming specs into clear, maintainable ingestion workflows
 </li>
 <li>
 Use AI tools as a natural part of your engineering workflow &mdash; you see AI as an accelerator for how you build, debug, and deliver
 </li>
 <li>
 Have an insatiable appetite for learning and always want to be working on your craft
 </li>
 <li>
 Approach challenges with a customer-first mentality and curiosity
 </li>
 <li>
 Thrive in ambiguity, leaning on resourcefulness and customer understanding in an open and empathetic culture
 </li>
 <li>
 Are excited to contribute to team growth through pairing and shared learning
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Own our Bronze data layer: build and maintain ingestion pipelines from third-party APIs, transform via dbt, orchestrate via Prefect
 </li>
 <li>
 Partner with Product and Engineering on Silver-layer modeling &mdash; ensuring data is clean, documented, and governed as it moves toward consumption
 </li>
 <li>
 Enable upstream teams to own their Gold-layer data well &mdash; establishing best practices, governance standards, pipeline automation, and tooling so teams can build confidently without it becoming the wild west
 </li>
 <li>
 Troubleshoot pipeline failures and data quality issues, driving toward root cause and long-term fixes
 </li>
 <li>
 Contribute to platform evolution &mdash; identifying opportunities to optimize, refactor, or scale our data infrastructure
 </li>
 <li>
 Stay informed on developments in the modern data stack and introduce tools and processes that improve our development workflows
 
 
 </li>
 </ul>
 
 What you should have:
 
 
 
 <ul>
 <li>
 5+ years of data engineering experience, including at least 2 years in a senior capacity
 </li>
 <li>
 Strong proficiency with SQL, Python, ELT patterns, and data modeling
 </li>
 <li>
 Hands-on experience with modern data stack tools (Snowflake, dbt, orchestration frameworks, BI tools)
 </li>
 <li>
 Strong proficiency with Git and version control practices
 </li>
 <li>
 Experience focused on system resilience, observability, and operational excellence across data platforms
 </li>
 <li>
 Experience with Docker and DevOps practices (especially for the Platform Operations focus area)
 </li>
 <li>
 Demonstrated fluency with AI-assisted development tools in your engineering workflow
 </li>
 <li>
 Experience working with modestly-sized, fast-paced teams
 </li>
 <li>
 Strong communication skills and ability to partner across engineering and product teams
 </li>
 <li>
 Working knowledge of iterative, value-focused technical delivery
 
 
 </li>
 </ul>
 What Will Set You Apart:
 
 
 <ul>
 <li>
 Familiarity with digital marketing data or multifamily/real estate industry
 </li>
 <li>
 Experience with data platform security practices
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Prolonged periods sitting at a desk and working on a computer.
 </li>
 <li>
 Must be able to lift up to 15 pounds at times
 
 
 </li>
 </ul>
 
 This role is open to candidates located within the United States.
 
 
 
 
 While this job description outlines the core expectations of the role, it's not a full list of everything you'll do at Digible. We believe in leaning in by hitting your key goals, sharing insights, and finding new ways to elevate performance, process, and client success.
 
 
 
 
 Pay, perks, and such:
 
 
 
 <ul>
 <li>
 Salary Range: $125,000 - $155,000
 </li>
 <li>
 4-Day Work Week (32 Hour Work Week)
 </li>
 <li>
 WFA (Work From Anywhere) OR 1 Day / Week Remote
 </li>
 <li>
 Discretionary Bonus
 </li>
 <li>
 We offer 3 weeks of PTO as well as Sick leave, and Bereavement
 </li>
 <li>
 We offer 11 paid holidays! (not counting ones that fall on Friday!)
 </li>
 <li>
 401(k) + Match
 </li>
 <li>
 75% employer paid health benefits (Medical, Dental, and Vision)
 </li>
 <li>
 Mental and Physical Wellness Reimbursement Benefit
 </li>
 <li>
 $1000/year travel fund for employees who have been with Digible 3+ years
 </li>
 <li>
 Paid Parental Leave
 </li>
 <li>
 Dog-Friendly Office
 </li>
 <li>
 Company-Wide Social Events
 </li>
 <li>
 Weekly Lunches and Snacks for in-office employees!
 
 
 </li>
 </ul>
 HEADS UP! We believe in transparency throughout our hiring process. To help us ensure a great fit, we'll ask you to share a few professional references during the hiring process who can speak to your experience and skills. It's all part of our commitment to open, honest communication and our core values: Focus, Authenticity, Humility, Curiosity, and Happiness.
</div>

Join Digible, Inc and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Digible, Inc

About Company

Senior Data Engineer

Senior Data Engineer