Senior Data Developer

Socket.dev; Montreal (administrative region); Hybrid; CAD 100,000 - 160,000; Full time

Benefits offered by this job

Hybrid work: 3 days/week in Montreal/T

Mental health support

Fully funded insurance

Health spending account

4 weeks vacation

Wellness days

RRSP matching

Coursera learning budget

Parental leave top-up

Job summary

Socket.dev is seeking a Senior Data Developer to advance our data product catalogue. You will model data in a cloud-based warehouse, build scalable data pipelines, and contribute to governance and privacy practices.

The role emphasizes collaboration with data analysts, developers, and product managers in an agile setting. You will design and optimize data warehouses, implement observability, and lead end-to-end data flow from raw sources to client-ready datasets, ensuring reliability and

Qualifications

• Minimum 3 years of meaningful experience in data or engineering roles.
• Experience with data modeling techniques and building well-structured transformation layers in dbt and Snowflake.
• Familiarity with BI-as-code tools and translating business requirements into data models for BI consumption.
• Strong collaboration, communication skills and willingness to share knowledge for continuous improvement.
• Understanding of data governance and privacy, especially with health-related data.

Responsibilities

• Develop and maintain data warehouse modelling, optimizing for utility, extensibility, and performance across staging, intermediate, and mart layers, transforming raw data into curated datasets for reporting and SOW reporting using dbt and Snowflake.
• Implement observability for data pipelines with logging, data quality checks, freshness monitoring, and alerting.
• Develop and own batch and event-driven data pipelines (Snowpipe, EventBridge) powering eligibility management and engagement reporting.
• Participate in code reviews and technical design discussions to ensure high-quality, maintainable data products.
• Champion data governance and privacy practices, including anonymization standards and access controls.

Skills

Data modeling

Dimensional modeling

Slowly changing dimensions

Star schema

Data quality

Tools

dbt

Snowflake

Snowpipe

EventBridge

Job description

Your role as Senior Data Developer

We are seeking a product-oriented Senior data developer to help us deliver more value with our growing data product catalogue. In particular, we’re interested in candidates with experience working on structured data mart modelling in a cloud-based data warehouse.

In this role, you will collaborate closely with data analysts, full stack developers, product/project managers and software developers to understand business requirements and translate them into robust and scalable data product features. You will work within an agile framework, emphasizing rapid iteration and deployment while maintaining high standards of code quality and data integrity.

What you'll be doing

• Develop and maintain our data warehouse modelling, optimizing it for utility, extensibility, and performance across staging, intermediate, and mart layers, transforming raw source data into curated, well-documented datasets ready for external client reporting and statement of work reporting using dbt and Snowflake
• Implement robust observability for data pipelines—structured logging, data quality checks, freshness monitoring, and alerting—to ensure shared data is accurate and trustworthy
• Develop and own batch and event-driven data pipelines (Snowpipe, EventBridge) that power eligibility management, engagement reporting, and care reimbursement.
• Participate in code reviews and technical design discussions to ensure high-quality maintainable data products
• Champion data governance and privacy practices, including anonymization standards and access controls.

We'd love to hear from you if you have

• At least 3 years of meaningful experience in a data or engineering role, with a strong interest in all things data
• Have experience with data modeling techniques (dimensional modeling, slowly changing dimensions, star schema) and building well-structured transformation layers in dbt and Snowflake .
• Familiarity with BI as code tools and Product-oriented thinking with the ability to understand business requirements and translate them into data models ready for consumption in BI tools
• Interest in team collaboration and knowledge sharing. You enjoy contributing to a culture of continuous improvement
• Strong communication skills and the ability to explain technical concepts and ideas to your colleagues
• Understand data governance, anonymization techniques, and the sensitivity required when handling health data in a regulated environment.
• Care about reliability and correctness as much as velocity, and enjoy building systems that are simple, maintainable, and measurable.

At Dialogue, your well-being is our priority

Taking care of others also means taking care of our team! Depending on your role and employment status, you could have access to the following benefits:

• Access to the Dialogue app and virtual mental health support for you and your family
• Fully funded insurance, a health spending account, dental coverage, and fitness reimbursement
• 4 weeks vacation, 9 wellness days, and 1 volunteer day
• Hybrid work: 3 days/week in our Montreal or Toronto offices, excluding remote roles
• Work abroad up to 4 weeks/year
• Incentive plans, referral bonuses & RRSP matching
• Learning via Coursera, external training budget & mentorship
• Optional parental leave top-up