Senior Data Analytics Engineer

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare Technology, SaaSIndustries

Requirements

Candidates should have 5+ years of experience in Data Analytics and/or Data Engineering, with proven experience implementing ETL/ELT processes. Strong proficiency in SQL is required, along with experience using dbt for transformation stages and working with cloud data warehouses like Snowflake, BigQuery, or Redshift. Hands-on experience in data modeling, schema design, and optimization techniques is essential. Proven experience maintaining data transformation pipelines, ensuring data availability and quality, meeting SLAs, and communicating status to downstream consumers is necessary. A deep understanding of data engineering best practices, including version control, testing, and CI/CD methodologies, is required. The ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, along with a learning mindset and keen interest in new technologies, is also expected. Bonus points for experience with a Customer Data Platform (CDP), ops practices and tools for automated deployment, CI pipeline definition, infrastructure management, and previous leadership or mentorship experience in a data engineering team.

Responsibilities

The Senior Data Analytics Engineer will work cross-functionally to help define, build, and deploy the Enterprise Data Warehouse to serve reporting and analytical needs across Fullscript. They will partner with Fullscript’s engineering team and other business stakeholders to define and implement the Customer Data Platform (CDP), using data from various sources to power decision-making about customer acquisition and the customer journey. This role involves writing data transformation code in ELT pipelines and working with data delivery tools to ensure data supports decision-making. The engineer will mentor and provide technical guidance to junior team members and influence practitioners of the Analytics Engineering craft throughout the company. Ensuring data models are properly tested and optimized for scalability and performance is a key responsibility, as is creating and maintaining data documentation and definitions.

Skills

Data Warehousing

ELT

Data Modeling

Customer Data Platform (CDP)

Data Transformation

Analytics Engineering

Data Science

Business Intelligence

SQL

Fullscript

Platform for managing supplement plans

About Fullscript

Fullscript provides a platform for healthcare practitioners to create and manage supplement plans for their patients. The platform simplifies the workflow for health professionals, allowing them to personalize treatment plans with custom protocols and features. It serves over 70,000 practitioners, including doctors and nutritionists, and operates in a two-sided market by selling high-quality supplements directly to patients or in-office, with prices set by the practitioners. Fullscript also offers educational resources to help patients adhere to their supplement plans, including infographics, handouts, and an award-winning blog covering various wellness topics. The company's goal is to improve patient outcomes and make wellness more affordable through better support and resources for both practitioners and patients.

Ottawa, CanadaHeadquarters

2011Year Founded

$265.7MTotal Funding

LATE_VCCompany Stage

Education, Healthcare, Consumer GoodsIndustries

501-1,000Employees