Sr. Data Analytics Engineer

City: Glendale, CA/ Burbank, CA Onsite/ Hybrid/ Remote: Onsite (4 days a week) Duration: 12 months Rate Range: Up to$96/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: • Expert-level SQL (data modeling, optimization, query performance) • Hands-on experience with Snowflake • dbt for data transformation and analytics modeling • Proficiency in Python for scripting and automation • Familiarity with AWS cloud services • Version control using GitHub/GitLab • Experience in Agile/Scrum environments Responsibilities: • Build and maintain analytical data models and assets within Snowflake, transforming raw data into trusted, consumable datasets. • Partner with Product Managers and stakeholders to translate business requirements into scalable data products. • Develop and manage transformation workflows using dbt and SQL for analytics use cases. • Ensure quality and performance of data assets through query optimization and validation. • Collaborate with Data Architects, SRE, and Platform teams within an Agile pod structure. • Support model deployment, version control, and documentation using Git-based workflows. • Maintain communication and alignment with cross-functional partners, ensuring deliverables meet evolving business needs. Qualifications: • Bachelor’s degree in Computer Science, Information Systems, or a related STEM field (required). • 5+ years of experience as an Analytics Engineer or Data Engineer in enterprise-scale environments. • Strong understanding of data warehousing principles, dimensional modeling, and pipeline design. • Working knowledge of AWS ecosystem (e.g., S3, Lambda, Glue). • Strong communication and collaboration skills, with the ability to manage multiple priorities in a fast-paced environment. • Experience working in Agile/Scrum teams with structured DevOps processes (pull requests, merge requests, version control).