Data Engineer job opportunity at Adoreal, Inc..

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Date2026-02-05T13:47:26.139Z bot
Adoreal, Inc. Data Engineer
Experience: 5-years
Pattern: Contract
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Canada

Who We Are  We are a fast-growing vertical SaaS company that leverages innovation and disruptive technologies to improve consumer experiences, outcomes, and predictability in elective medicine. Our team thrives on challenges, embraces change, and is dedicated to transforming our industry.   Adoreal is scaling rapidly, and this role is designed to support growth. As we automate more of our content production, scheduling, and reporting processes, we are looking for a strategic operator who can take on high-impact work that supports both our social media and broader growth marketing efforts.  Who We Are Looking For We are looking for a highly motivated Data Engineer with to join our team. The ideal candidate will be passionate about data, skilled at translating complex information into actionable insights, and comfortable working across diverse teams. You will also collaborate directly with clients, making your ability to communicate effectively with both technical and non-technical audiences essential.  Responsibilities Collect, analyze, and interpret large datasets to drive strategic decisions across the organization.  Build dashboards and reports using BI tools to track performance and identify trends.  Partner with cross-functional teams (product, sales, support, executives) to deliver data-driven insights that inform decision-making.  Collaborate directly with customers to understand data requirements and provide tailored analytical support.  Develop and optimize SQL queries to extract, transform, and analyze data from multiple sources.  Support the data infrastructure by working with Snowflake, Redshift, MySQL, MSSQL, and PostgreSQL environments.  Translate business needs into analytical solutions and present findings in a clear, compelling manner. 3–5 years of professional experience in data engineering , with hands-on responsibility for building and maintaining production data pipelines. Strong proficiency in SQL and solid experience using Python (or a similar language) for data transformation, automation, and pipeline development. Experience working with cloud data warehouses and relational databases such as Snowflake, Amazon Redshift, BigQuery, MySQL, or PostgreSQL. Hands-on experience with ETL/ELT frameworks and orchestration tools (e.g., dbt, Airflow, Prefect, Fivetran, or similar). Working knowledge of data modeling concepts , including fact/dimension tables, schema design, and optimization for analytics and product use cases. Ability to troubleshoot data quality issues and improve pipeline reliability, performance, and monitoring . Strong collaboration and communication skills, with experience working closely with analytics, product, and engineering partners. Experience working with healthcare-related data or other regulated datasets (HIPAA familiarity a plus).

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