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About the Role
Are you a technical artisan who thrives in collaborative environments and gets excited about solving the right problems, the right way? We believe in the power of integrated engineering, where development, data quality, architecture, and agility skills blend together throughout the solution delivery pipeline. As a Software Development Engineer 2 (SDE 2) focusing on Data Engineering & Data Architecture, you will be a champion for this approach. You will own the data pipelines and modeling that power our Customer Data Platform (CDP), directly feeding marketing/commercial segmentation and customer journeys. In this role, you will act with independence to own specific modules, functional areas, and data models without constant oversight.
Responsibilities
- Design and build robust data models in Snowflake using dbt, spanning from staging through to production data marts, ensuring they are resilient, cost-effective, and maintainable.
- Integrate, stage, and reconcile data from multiple complex source systems into a unified Customer Data Platform.
- Add field enhancements and manage the evolution of the CDP Mart to power downstream segmentation and outbound journeys.
- Own feature-level architecture decisions and author Architecture Decision Records (ADRs).
- Manage the dbt "lakefront" project structure, establishing model ownership, group permissions, and approved-team configurations.
- Contribute to the evolution of team "Golden Paths", service communication standards, and data orchestration workflows.
- Translate complex commercial and marketing rules.
- Perform deep-dive data discovery, technical feasibility assessments, and data volume analysis.
- Partner actively across engineering, analytics, product, and business stakeholders to reconcile conflicting business logic, align definitions, and drive consensus toward a single source of truth.
- Lead feature-level demonstrations and facilitate technical alignment workshops.
- Mentor Level 1 engineers through pair programming, structured knowledge-sharing sessions, and constructive code/configuration reviews.
- Take ownership of feature-level data quality, designing automated regression tests and verification checks.
- Implement, debug, and leverage AI-augmented engineering workflows to optimize pipeline efficiency and code readability.
Requirements
- 3-5 years of professional experience in data engineering, data warehousing, or a software development engineering role focusing on data.
- Proven track record of independently designing and building highly scalable data models and staging environments inside Snowflake.
- Strong hands-on experience managing dbt projects, testing, documentation, and source-control-driven data pipelines.
- Direct hands-on experience or familiarity with Salesforce Data360 / DataCloud (CDP) ingestion, mapping, and orchestration patterns.
- Proficient experience utilizing CI/CD automation tools, managing branches, and executing automated code/data quality gates.
- Strong analytical capability to break down abstract business constraints into concrete data exclusions, filtering matrixes, and performance-tuned queries.
Skills
- Snowflake
- dbt (Data Build Tool)
- CI/CD Automation
- Salesforce Core
- Salesforce Data360 (DataCloud)
- Data Modeling
- Pipeline Engineering
- Architecture
- Technical Governance
- Data Discovery
- Stakeholder Alignment
- Team Collaboration
- Quality Assurance
- AI-Augmented Workflows
- GitHub Copilot
- LLM integrations
Experience Level
- Intermediate Individual Contributor
- 3-5 years
Salary/Compensations
- $96,100.00 - $115,500.00
Benefits
- Health, dental and vision insurances
- Retirement savings plan
- Paid time off
- Health savings account
- Flexible spending accounts
- Life insurance
- Disability insurance
- Tuition reimbursement
About the Company
- WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being.