Senior Data Engineer
Job in
Lehi, Utah County, Utah, 84043, USA
Listed on 2026-01-15
Listing for:
SafeStreets
Full Time
position Listed on 2026-01-15
Job specializations:
-
IT/Tech
Data Engineer, Data Science Manager, Cloud Computing, Data Analyst
Job Description & How to Apply Below
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Base pay range$/yr - $/yr
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.
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
- 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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Inferred from the description for this jobMedical insurance
401(k)
Apply BELOW
Position Requirements
10+ Years
work experience
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