Data Engineer Jobs

About The Position

Requirements

• At least 4 years of experience in data engineering, analytics engineering, or dimensional modeling roles, building production data models.
• Advanced SQL skills and experience transforming data from multiple sources into a scalable warehouse or lakehouse.
• Proficiency in Python, including tools such as Pandas and NumPy, for data transformation and pipeline development.
• Expertise in dimensional modeling, ELT workflows, and modern data architecture patterns.
• Proven ability to model raw, complex data into well-structured, analytics-ready datasets.
• Experience working with platforms such as Databricks, Snowflake, or Redshift.
• Ability to translate ambiguous business requirements into scalable, well-modeled datasets.
• Excellent written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.
• Must be able to live and work full-time in an eligible listed U.S. state, or in Ontario for remote technical positions based in Canada.

Responsibilities

• Design and build scalable, production-grade data pipelines and data models for downstream analytics and enterprise reporting.
• Implement and enforce data validation, testing, and QA standards across data models to ensure accuracy and reliability.
• Partner with App Engineering to understand source systems and define how raw data should be captured and modeled downstream.
• Collaborate with Analytics Engineering, BI, and business stakeholders to translate ambiguous reporting needs into scalable, well-modeled datasets.
• Ensure data models comply with data security and privacy regulations, including GDPR, CCPA, and GLBA, through access controls and monitoring.
• Mentor other data engineers on modeling best practices, documentation, and data processing patterns.
• Use AI-assisted development tools where appropriate to improve engineering efficiency, code quality, and observability.

Benefits

• Competitive salary and company equity through Restricted Stock Units (RSUs), based on role and level.
• 401(k) with company match up to 4% of eligible earnings.
• Multiple medical plan options, plus dental and vision coverage.
• Company-funded HSA contributions, based on medical plan selection.
• Company-paid life insurance and short-term disability.
• Supplemental benefit options, including long-term disability, critical illness, accident, legal, and pet insurance.
• Access to mental health support and confidential counseling resources.
• Flexible PTO for exempt employees; most employees take 15–20 days per year.
• Eight company-observed holidays.
• Paid parental leave, including up to 14 weeks at 100% pay for birthing parents and 8 weeks at 100% pay for non-birthing parents.
• Career mobility and internal growth opportunities.
• Professional development budgets for certifications, conferences, and learning, subject to management approval.