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 @ 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 transparent 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 compens

📌 Senior Data Engineer (Winnipeg)
🏢 Coconut Software
📍 Winnipeg