Senior Data Engineer (Contract)

Responsibilities

The Senior Data Engineer will own data engineering tasks, including building and maintaining production pipelines within the Databricks Lakehouse environment. They will lead the migration from legacy systems to Databricks while ensuring data quality, security, and effective collaboration with product and analytics teams.

Requirements

Candidates must have 5+ years of data engineering experience, including at least 2 years of production experience with Databricks. Strong proficiency in Python, SQL, dbt, and AWS data services is required, along with experience in warehouse migrations and handling regulated data.

Skills

• Data Engineering
• Databricks
• Python
• SQL
• Dbt
• AWS
• Redshift
• Postgres
• LookML
• Infrastructure-as-Code
• Terraform
• Data Pipelines
• PII Handling
• CDC
• Unity Catalog
• AI Coding Agents

Benefits

• Health and Dental Benefits
• Virtual Care
• Disability Top Up
• Virtual Mental Health
• EAP Platform
• WealthSimple GRSP and Matching
• Annual Wellness Benefit
• Remote Work
• Internet Subsidy
• Employee Options
• Tiki Bucks Incentive Program
• Flex-time
• Flex-days

About this role

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
YOU ARE FIRED UP TO
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
WHAT YOU BRING TO THE TEAM
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...

About Coconut Software

Software Development · 51-200 employees · headquartered in Saskatoon, Saskatchewan