Staff/Senior Data Engineer

Privately owned and operated, Digible was founded in 2017 with a mission to bring sophisticated digital marketing solutions to the multifamily industry. We offer a comprehensive suite of digital services as well as a predictive analytics platform, Fiona, that is the first of its kind. 

At Digible, Inc. we love to celebrate our diverse group of hardworking employees – and it shows. We pride ourselves on our collaborative, transparent, and authentic culture. These values are pervasive throughout every step of a Digible employee's journey. Starting with our interviews and continuing through our weekly All Hands Transparency Round-up, values are at the heart of working at Digible.

We value diversity and believe forming teams in which everyone can be their authentic self is key to our success. We encourage people from underrepresented backgrounds and different industries to apply. Come join us and find out what the best work of your career could look like here at Digible.

• - The commitment to be steadfast and genuine with our actions and communication toward everyone we touch.
• - The belief that a deep and fundamental curiosity (the "why") in our work is vital to company innovation and evolution.
• - The collective will to remain completely devoted and ultimately accountable to our deliverables.
• - The recognition and daily practice that "we" is always greater than "I".
• - The decision to prioritize passion and love for what we do above everything else.

Digible, Inc. is looking for a Staff/Senior Data Engineer to join our team!
As a Staff/Senior Data Engineer, you will serve as a profoundly hands-on leader and thought partner for our full stack Data platform team. Reporting to the Data Manager, you'll play a key role in aligning with stakeholders across the organization particularly Product and Client Services to execute our long-term data vision through our sprint process. 

Your day-to-day will focus on deep hands-on work in our data tech stack, and strategic product and stakeholder discussions to specify and enable our data roadmap. You’ll build a reputation across the team and the company as an expert across data, and will bring a cutting edge perspective on best practices and technical growth.

This role presents an exciting opportunity to drive innovation and lead the technical work of a diverse and talented team, in delivering cutting-edge solutions. If you're passionate about shaping the future of data engineering excellence, we'd love to hear from you!

• Embrace Digible’s core values: authenticity, curiosity, focus, humility, and happiness.
• Have deep experience in the modern data stack (we use).
• Have an insatiable appetite for learning and desire to always be working on your craft.
• Approach challenges with a customer-first mentality and curiosity.
• Love building in a constantly evolving data landscape.
• Thrive in ambiguity, by leaning on resourcefulness and customer understanding in an open and empathetic culture.

• Partner with our existing leading Data Engineer in a “steel sharpens steel” approach.
• our Data Engineers in best practices approaches to data development, architecture design, and data modeling.
• Build as a full stack data engineer leveraging your expertise in and .
• Understand our key stakeholders' data and reporting needs, to help shape our future data roadmap and current solutions.
• Deeply understand our data pipelines, and provide a perspective on future optimization or refactoring to allow for continued growth and delivery.
• Stay informed on the data landscape and promising developments in the , and introduce tools and processes to scale our development processes.

• 5+ years of data engineering experience, including at least 2 years in a senior capacity.
• Experience working with modestly sized fast paced teams. (Our technology department has ~20 members).
• Significant hands-on experience with the modern data stack and an eye towards resourcefulness for the ever evolving space.
• Strong proficiency with SQL and Python as well as ELT and data modeling.
• Experience mentoring and/or serving as an advocate for data products.
• Strong communication and/or product management skills.
• Working knowledge of technical delivery through an iterative value-focused approach.

• Salary Range: $125,000 - $190,000
• 4-Day Work Week (32 Hour Work Week)
• WFA (Work From Anywhere)
• Profit Sharing Bonus
• We offer 3 weeks of PTO as well as Sick leave, and Bereavement
• We offer 11 paid holidays
• 401(k) + Match
• 75% employer paid health benefits (Medical, Dental, and Vision)
• We offer $75/ month reimbursement for Physical Wellness
• We offer $75/ month reimbursement for Mental Wellness
• $1000/year travel fund for employees who have been with Digible 3+ years
• Monthly subscription for Financial Wellness Coaching
• Dog-Friendly Office
• Paid Parental Leave
• Monthly Social Events
• Weekly Lunches and Snacks for in-office employees