Senior Data Engineer

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About the Role Safe Streets is seeking a Senior Data Engineer to lead the design and implementation of scalable data infrastructure that powers analytics, reporting, and AI/ML initiatives across the organization. This role is for experienced engineers who can drive architectural decisions, mentor team members, and deliver high-impact data solutions that support business-critical decisions.

• Lead the design and architecture of scalable data warehouse solutions in Snowflake
• Design, build, and optimize complex ETL/ELT pipelines to ingest, transform, and store data from multiple sources
• Architect and implement real-time streaming data pipelines using Kafka
• Define and implement data modeling standards and best practices across the organization
• Drive technical decisions on data platform tooling, architecture, and infrastructure
• Collaborate with cross-functional teams to align data solutions with business objectives
• Implement enterprise-grade data quality frameworks, monitoring, and alerting systems
• Architect integrations between Salesforce and centralized data platforms
• Mentor junior and mid-level data engineers on best practices and technical skills
• Lead data-focused code reviews and technical design discussions
• Champion data governance, security, and compliance initiatives

• 5+ years of experience in data engineering or related data-focused roles
• Expert-level proficiency in SQL and advanced relational database design
• Extensive experience designing and building ETL/ELT pipelines at scale using tools such as Apache Airflow, dbt, or similar
• Strong proficiency in Python for data processing and pipeline development
• Deep experience with Snowflake, including performance optimization and best practices
• Experience with streaming data platforms, particularly Kafka
• Strong understanding of data modeling concepts and ability to design optimal schemas for various use cases
• Experience leading technical projects and mentoring engineers
• Strong architectural thinking and communication skills
• Track record of delivering high-quality, production-grade data solutions

• Experience with Salesforce data extraction, APIs, and enterprise integration patterns
• Experience designing and implementing real-time streaming architectures at scale
• Proficiency with BI tools and supporting self-service analytics
• Experience with AWS services (S3, Glue, Lambda, Kinesis)
• Experience with data governance frameworks and data catalog tools
• Experience with CI/CD pipelines and infrastructure-as-code for data platforms
• Exposure to machine learning pipelines, feature stores, and MLOps practices
• Experience with data mesh or modern data architecture patterns
• Interest in AI systems and building data foundations for ML/AI initiatives

• Competitive salary and benefits
• Collaborative, supportive engineering culture
• Clear growth and leveling opportunities
• Meaningful, real-world technical challenges
• Inclusive and respectful workplace

• Mid-Senior level

• Full-time

• Information Technology

• Consumer Services

Location:

Lehi, UT

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Medical insurance

401(k)

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