The Senior Data Engineer will play a crucial role in developing, improving, and maintaining our data infrastructure and Business Intelligence systems. This position requires expertise in Snowflake and other modern data technologies to transform raw data into actionable insights, automated reports, and interactive dashboards. The ideal candidate will work closely with business units and technical teams to drive data-driven decision-making across the organization.
ESSENTIAL JOB DUTIES/RESPONSIBILITIES
Design, develop, and optimize data pipelines using Snowflake, focusing on efficient ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes and adhering to data warehouse best practices
Implement and manage scalable data models and transformations using tools like dbt (Data Build tool) in conjunction with Snowflake
Create and maintain complex SQL queries, stored procedures, and user-defined functions in Snowflake
Develop reports, dashboards, and analytics solutions using Snowflake and compatible BI tools
Collaborate with data architects, DBAs, and other stakeholders to ensure data solutions are reliable, scalable, and maintainable
Proactively identify and resolve data quality issues, improving data integrity across systems
Document data processes, architectures, and code to ensure knowledge transfer and maintainability
Mentor junior team members and provide technical guidance on Snowflake best practices
Perform other duties as assigned and modified at manager’s discretion
KNOWLEDGE, SKILLS AND ABILITIES
Advanced-level business acuity
In-depth knowledge and understanding of general/core job-related functions, practices, processes, procedures, techniques and methods
Extensive experience with Snowflake, including data modeling, performance tuning, and security features
Strong proficiency in SQL and experience with Python or other programming languages
Expertise in data warehouse concepts and modern data architectures
Experience with cloud platforms (AWS, Azure, or GCP) and data integration tools
Familiarity with BI tools compatible with Snowflake (e.g., Tableau, Power BI, or Looker)
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders
Advanced skill in Microsoft Office Suite products including Excel, Word, PowerPoint and Outlook; competent in other systems required for the position
Ability and willingness to travel locally, regionally and/or nationally up to 10% of the time; flexible to work evening, weekends and/or holidays as needed
Spoken and written fluency in English
This job requires use and exercise of independent judgment
EDUCATION AND EXPERIENCE CRITERIA
BA/BS degree in Computer Science, Data Engineering, or related field; Master’s degree preferred OR additional experience above the minimum may be considered in lieu of the required education on a year-for-year basis
A minimum of 5 years’ work experience in data engineering or related roles required
Experience with real-time data streaming and processing
Knowledge of machine learning concepts and their data requirements
Familiarity with data governance and security best practices
Experience in the healthcare or finance industry
PAY RANGE
$99,369 - $141,957. The posted pay range represents the base hourly rate or base annual full-time salary for this position. Final compensation will depend on a variety of factors including but not limited to experience, education, geographic location, and other relevant factors. This position may also be eligible for bonuses or commissions.
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