Sr. Data Engineer

Propel Bank

$100K — $130K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in SQL-based database or data-engineering solutions
  • 3+ years building and operating production workloads on Snowflake
  • Strong knowledge of Snowflake architecture and features
  • Advanced Snowflake SQL including complex transformations and query optimization
  • Experience developing Snowflake Scripting and reusable database logic
  • Practical experience designing ELT pipelines for analytics and finance
  • Proven ability to model data with dimensional modeling for analytics and finance

Responsibilities

  • Design and maintain secure and scalable Snowflake databases and data-sharing solutions
  • Translate business requirements into Snowflake data models and implementation plans
  • Develop and troubleshoot advanced Snowflake SQL and stored procedures
  • Build and maintain reliable ELT pipelines using Snowflake tools
  • Optimize Snowflake workloads for performance and cost efficiency
  • Establish security and governance controls for Snowflake environments
  • Support development practices through version control and automated testing
  • Document data models and operational procedures for compliance and optimization

Benefits

  • Growth and opportunity with internal promotions
  • Inclusive and rich company culture
  • Comprehensive vacation package
  • Group health and dental benefits
  • Support for new parents
  • Diverse and inclusive workplace
Full Job Description
About You:

You thrive in a vibrant, entrepreneurial organization where your ideas are valued. You are motivated by goals, a self-starter, and enjoy wearing multiple hats in a fast-growing fintech environment.

You are a talented professional looking for a career, not a job. Reporting to the Director, Data Platform, you will be responsible for developing and troubleshooting Stored Procedures, SQL, and SQL-based strategy for various teams. Much of your work will focus on Finance-related concepts and you will work closely with our Finance team, so ideally you already have some of this knowledge or you are highly motivated and autonomous when learning.

Responsibilities

  • Design, develop, and maintain secure, scalable Snowflake databases, schemas, warehouses, and data-sharing solutions for analytics, reporting, and finance use cases
  • Translate business and Finance requirements into well-defined Snowflake data models, technical designs, data contracts, and implementation plans
  • Develop and troubleshoot advanced Snowflake SQL, Snowflake Scripting, stored procedures, user-defined functions, and reusable data-platform components
  • Build and maintain reliable ELT pipelines using Snowflake stages, file formats, COPY INTO, Snowpipe, Streams, Tasks, Dynamic Tables, and appropriate integration or orchestration tools.
  • Create and evolve dimensional, relational, and semi-structured data models using Snowflake capabilities such as VARIANT, FLATTEN, and schema evolution where appropriate
  • Optimize Snowflake workloads by using Query Profile and query history to improve pruning, warehouse sizing, clustering, concurrency, caching, and overall execution performance
  • Establish cost-efficient warehouse and workload-management strategies, including sizing, auto-suspend, resource monitors, and usage monitoring
  • Implement and maintain Snowflake security and governance controls, including role-based access control, least-privilege permissions, masking policies, row access policies, tagging, auditing, and data classification
  • Support reliable development and release practices across environments through Git-based version control, code review, automated testing, CI/CD, and repeatable deployment processes
  • Develop monitoring, reconciliation, quality checks, and operational dashboards to identify pipeline failures, data freshness issues, query regressions, and unexpected Snowflake consumption
  • Apply Snowflake capabilities such as Time Travel, zero-copy cloning, secure data sharing, and environment isolation to support recovery, testing, and controlled access
  • Partner with Finance, Data Engineering, Analytics, and application teams to resolve data issues, improve definitions, and increase trust in critical business data
  • Document data models, lineage, operational procedures, security decisions, and performance or cost-tuning recommendations
  • Contribute to technical standards and mentor team members on Snowflake engineering best practices


Requirements

Must Have:

  • 5+ years of professional experience designing, developing, and troubleshooting SQL-based database or data-engineering solutions
  • 3+ years of hands-on experience building and operating production workloads on Snowflake
  • Strong knowledge of Snowflake architecture, including databases, schemas, virtual warehouses, micro-partitions, storage/compute separation, caching, and workload isolation
  • Advanced Snowflake SQL skills, including complex transformations, window functions, semi-structured data, query optimization, and data reconciliation
  • Experience developing Snowflake Scripting procedures, JavaScript or Python stored procedures, user-defined functions, and other reusable database logic
  • Practical experience designing ELT pipelines with Snowflake stages, file formats, COPY INTO, Snowpipe, Streams, Tasks, Dynamic Tables, or comparable Snowflake-native features
  • Proven ability to model data for analytics and Finance, including dimensional modeling, facts and dimensions, slowly changing dimensions, and appropriate normalization or denormalization decisions
  • Demonstrated experience diagnosing and improving Snowflake performance using query history, Query Profile, warehouse configuration, partition pruning, clustering, and workload/concurrency analysis
  • Experience managing Snowflake access and governance through RBAC, custom roles, grants, masking policies, row access policies, tags, and audit or usage monitoring
  • Experience with Python and scripting for data engineering, automation, testing, or Snowflake administration; Snowpark experience is an asset
  • Experience with GitHub or GitLab and collaborative software-development practices, including pull requests, code review, and automated deployment
  • Experience using generative AI tools such as ChatGPT, Claude, or Copilot is an asset, along with the ability to adopt AI tools responsibly in day-to-day engineering work


Nice To Have:

  • Experience with dbt, Airflow, Dagster, or another modern transformation and orchestration framework integrated with Snowflake
  • Experience with Snowflake governance, observability, cost-management, data-quality, or catalog tools
  • Experience with Snowflake account replication, failover groups, secure data sharing, or other business-continuity capabilities
  • Knowledge of Finance, accounting, lending, risk, or regulatory reporting concepts and data requirements
  • Experience migrating workloads from MySQL, Oracle, or other legacy database platforms to Snowflake
  • Development experience in Java or another application programming language
  • Experience with infrastructure-as-code or automated cloud deployment practices
  • Experience working with APIs, event-driven ingestion, REST services, or cloud storage integrations


Benefits to Joining Propel

  • Growth and opportunity - we pride ourselves on promoting from within
  • Incredible company culture
  • Competitive salary and health benefits
  • Comprehensive vacation package
  • Group health and dental benefits
  • Group RRSP program
  • Support for new parents
  • Diverse and inclusive workplace


Salary Range

$100,000 - $130,000

Final compensation is determined by market conditions, location, and the candidate's experience, skills, and education. This role may also be eligible for performance-based incentive programs and total compensation may include variable incentives, such as bonuses and commissions.

This posting is for an existing vacancy within our organization.

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