SafeStreets
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This range is provided by SafeStreets. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $130,000.00/yr - $145,000.00/yr
About the Role
SafeStreets 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.
What You’ll Do
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
Required Qualifications
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
Preferred Qualifications
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
What We Offer
Competitive salary and benefits
Collaborative, supportive engineering culture
Clear growth and leveling opportunities
Meaningful, real-world technical challenges
Inclusive and respectful workplace
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Consumer Services
Location: Lehi, UT
Referrals increase your chances of interviewing at SafeStreets by 2x
Inferred from the description for this job Medical insurance
401(k)
Get notified about new Senior Data Engineer jobs in
Lehi, UT .
#J-18808-Ljbffr
This range is provided by SafeStreets. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $130,000.00/yr - $145,000.00/yr
About the Role
SafeStreets 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.
What You’ll Do
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
Required Qualifications
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
Preferred Qualifications
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
What We Offer
Competitive salary and benefits
Collaborative, supportive engineering culture
Clear growth and leveling opportunities
Meaningful, real-world technical challenges
Inclusive and respectful workplace
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Consumer Services
Location: Lehi, UT
Referrals increase your chances of interviewing at SafeStreets by 2x
Inferred from the description for this job Medical insurance
401(k)
Get notified about new Senior Data Engineer jobs in
Lehi, UT .
#J-18808-Ljbffr