Coconut Software is the leading Branch Performance Platform, helping financial institutions grow, drive productivity, and deliver better customer experiences.
Coconut's AI-powered, enterprise-grade platform brings together appointment scheduling, in-branch queuing, video banking, and branch workforce management, turning customer interaction and operational data into actionable insights across multiple lines of business. The result: greater visibility into performance, better use of workforce capacity, and smarter decisions that drive stronger branch outcomes.Trusted by 200+ banks and credit unions, including RBC, Mountain America Credit Union, and M&T Bank, Coconut Software turns every interaction and staffing decision into a competitive advantage.
We’re hiring a Senior Data Engineer on a 12-Month Contract to own data engineering on our Data Enablement team. You’ll be our main data engineer, working with our analytics engineers, product, and other enablement teams. You’ll build the pipelines behind our workforce forecasting and staffing product, and finish moving our analytics platform onto Databricks. We need someone who gets productive quickly, works independently, and leaves things better than when they found them!
Data at Coconut:- We are currently in an exciting phase of growth, migrating our entire data estate from legacy Postgres and Redshift environments to a modern Databricks Lakehouse
- Our target stack is built for scale: Databricks for storage and compute, dbt for our transformation and semantic layer, and Looker (LookML) for business intelligence
- We don't follow rigid Scrum, but we do work in an agile, iterative way, and try to continuously improve and find a better way to work
- We work in a blameless culture and have a continuous improvement mindset
- We strive to provide service excellence in all areas, as such, roles in our Engineering department are expected to contribute to our collaborative on-call rotation, working with your team to support our systems and ensuring application availability/reliability. Each team will have their own rotation schedule
- Build and run production pipelines in Databricks (Lakeflow, Jobs, dbt), from ingesting customer files through to tables ready for models and reporting
- Lead the next phases of our Redshift → Databricks migration: landing source tables, moving product analytics onto the lakehouse, and retiring old warehouses
- Own replication and ingestion from production databases (AWS DMS, Databricks Lakeflow Connect, Fivetran) across multiple environments, with data residency and PII handling built in
- Set data contracts with internal teams and external ML partners so schema changes don’t break things downstream
- Give product teams clear effort estimates and trade-offs, and push back on scope when needed
- Monitor pipeline health, data quality and Databricks cost, and take part in Data’s on-call rotation
- Document what you build (runbooks, lineage, design decisions) so the team can manage it without you (if needed)
- Be part of how we’re evolving the way we work with AI across Engineering, staying curious about the technology and eager to adopt, learn, and use it to solve customer and business problems
- 5+ years in data engineering, including 2+ years running Databricks in production (Delta, Jobs, DLT/Lakeflow, Unity Catalog)
- Strong Python, SQL, and dbt skills
- Experience replicating from operational databases (CDC or Events) and ingesting messy files
- Has been involved in at least one warehouse or lakehouse migration
- Comfortable with AWS data services
- Has handled PII or regulated data; financial services is ideal
- A curiosity for innovation: we’re looking for someone who loves to learn and elevate their skills with new technology, particularly AI and large language models (LLMs)
- Hands-on use of AI coding agents (Claude Code or similar) for pipelines, dbt, debugging, or troubleshooting
- Has worked with Infrastructure-as-Code (e.g. Terraform, DAB) to manage data infrastructure
- Experience with LookML or embedded Looker
- Managed pipelines feeding forecasting or ML models
- Thrives in a high autonomy environment and works with the team to direct energy and focus towards highest priority initiatives
- Proven ability to take initiative, be innovative, and take the lead on projects
- Your unique experiences in the data realm that we can benefit and learn from!
This posting is for a vacant contract position. The expected hiring range for this role is $125,000 - $165,000.
The base salary for this position is listed to support candidates to align themselves within the target range. The range is grounded in comprehensive analysis of national compensation data for similar roles and company sizes in the technology sector, alongside a review of our internal compensation framework to ensure pay equity across the company. Note that ranges may evolve over time. We aim to provide a fair offer and hire within this specified range. The final offer for this position will take a candidate's background, experience, skills, and internal equity into consideration. Top performers’ compensation will be reviewed annually, as part of our Performance Acceleration program (Performance Reviews, Compensation Reviews, etc.).
Our Investment in You:
- Find your flow with Cabana Days. We offer flex-time and flex-days so you can recharge and be your best self. We empower our team to prioritize their well-being, knowing that a well-rested team is a productive one. While we offer this flexibility, our commitment to service excellence is unwavering. This benefit comes with a shared responsibility: our customers are our top priority. We ask that you remain available and responsive on flex-days, as needed, to ensure our customers' needs are always met promptly.
- Ability to do your job in a supported, but flexible environment
- Supported professional development, learning, & career opportunities - be supported in your growth journey!
- Regular 1:1 coaching with your leader and regular connection to a passionate executive team
- Work in a team big enough for growth but lean enough to make a real impact
A full range of benefits to keep you happy & healthy;
- Competitive Salaries - we pay fairly based on experience and expertise, not your ability to negotiate!
- Health & Dental Benefits, Virtual Care, & Disability top up - all starting from day 1!
- Virtual mental health and EAP platform
- WealthSimple GRSP & Matching
- Annual Wellness Benefit ($1000 per year)
- Opportunity to work remote - anywhere in Canada!
- Employee Options - everyone shares in our success!
- Internet Subsidy on each paycheck
- Tiki Bucks Incentive Program - everyone is entitled to earn bonuses!
- A People First Company - 4.2 rating on Glassdoor
- "Most Admired Corporate Cultures" (2024) and ranked #22 in "Best Workplaces in Canada" (2025) in company size category
Who we are and What we do:
Vision
To create a world where time is well spent.
Mission
To optimize your branch performance in order to drive growth, increase productivity, and deliver exceptional customer experiences.
Values
Collaboration. Honesty. Empathy. Elevate. Resilience. Service Excellence.
Coconut Software is the leading Branch Performance Platform, helping financial institutions grow, drive productivity, and deliver better customer experiences.
Coconut's AI-powered, enterprise-grade platform brings together appointment scheduling, in-branch queuing, video banking, and branch workforce management, turning customer interaction and operational data into actionable insights across multiple lines of business. The result: greater visibility into performance, better use of workforce capacity, and smarter decisions that drive stronger branch outcomes.
Trusted by 200+ banks and credit unions, including RBC, Mountain America Credit Union, and M&T Bank, Coconut Software turns every interaction and staffing decision into a competitive advantage.
Some recent awards we're proud of include:
Coconut Software is committed to treating all people in a way that allows them to maintain their dignity and independence. We believe in integration and equal opportunity. We are committed to meeting the needs of people with disabilities in a timely manner, and will do so by preventing and removing barriers to accessibility and meeting accessibility requirements under the Accessibility for Ontarians with Disabilities Act, 2005.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or synthesizing interview notes. These tools assist our talent team but do not replace human judgment. Final hiring decisions are always made by humans. If you would like more information about how your data is processed, please talk to your Talent Partner. We believe in using AI thoughtfully and transparently, so we ask candidates to take the same approach and disclose the use of AI at any stage in their application or interview process.
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