Senior Data Engineer

This is a fully remote position, open to applicants in United States, +39 more locations.

📋 Description

• Design and construct scalable, production-level data pipelines and data models for downstream analytics and enterprise reporting.

• Implement and uphold data validation, testing, and quality assurance standards across data models.

• Collaborate with App Engineering to gain insights into source systems and define the capture and modeling of downstream data.

• Work alongside Analytics Engineering, BI, Finance, Marketing, Product, and other business stakeholders.

• Convert ambiguous reporting requirements into scalable, well-structured datasets.

• Ensure compliance of data models with GDPR, CCPA, GLBA, and other data security and privacy regulations through access controls and monitoring.

• Mentor fellow data engineers on modeling best practices, documentation, and data processing methodologies.

• Utilize AI-assisted development tools to enhance engineering efficiency, code quality, and observability.

• Deliver production-ready datasets that serve as reliable sources of truth for reporting and decision-making.

• Enhance data quality and stakeholder confidence through consistent validation and quality assurance standards.

⛳️ Requirements

• Over 4 years of experience in data engineering, analytics engineering, or dimensional modeling roles, focused on building production data models.

• Advanced proficiency in SQL.

• Experience in transforming data from various sources into a scalable warehouse or lakehouse.

• Strong skills in Python, including Pandas and NumPy.

• Expertise in dimensional modeling, ELT workflows, and contemporary data architecture patterns.

• Demonstrated capability to model raw, complex data into well-structured, analytics-ready datasets.

• Familiarity with Databricks, Snowflake, or Redshift.

• Ability to interpret ambiguous business requirements and create scalable, well-designed datasets.

• Outstanding written and verbal communication abilities.

• Capacity to convey complex technical concepts to non-technical stakeholders.

• Must be able to live and work full-time in one of Kin’s listed states, or Ontario for eligible remote technical positions in Canada.

🏝️ Benefits

• Company equity through Restricted Stock Units (RSUs).

• 401(k) with company matching up to 4% of eligible earnings.

• Various medical plan options available.

• Dental and vision insurance coverage.

• Company-funded HSA contributions.

• Company-paid life insurance and short-term disability coverage.

• Supplemental long-term disability, critical illness, accident, legal, and pet insurance.

• Mental health support and confidential counseling services.

• Flexible paid time off (PTO) for exempt employees (most employees typically take 15–20 days annually).

• 8 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.

• Opportunities for career mobility and internal growth.

• Professional development budgets for certifications, conferences, and learning, subject to management approval.

• Remote-first work culture.

• Global and remote collaboration with office locations in Chicago and St. Petersburg.