Data Engineer

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 implementor who can take on high-impact work in sales and marketing automation.

We’re looking for a hybrid Data Engineer with experience (or strong interest) in analytics and Data Science to help build Adoreal’s data infrastructure from the ground up. In this multifaceted role, you’ll build scalable data infrastructure, conduct deep analysis, and support the integration of machine learning models and generative AI solutions.  

You’ll collaborate with engineering, product, and operations teams to build end-to-end data pipelines, design experiments, and deploy models.  

Data Engineering  

• Design and maintain scalable ETL/ELT pipelines using tools like AWS, Apache Airflow, dbt, or Step Functions  

• Ingest, clean, and transform structured and unstructured data (e.g., text, logs, embeddings)  

• Manage cloud-native data infrastructure   

• Implement robust data quality checks, lineage tracking, and observability practices  

Analytics & Insights  

• Write advanced SQL queries and produce business dashboards (Looker, Tableau, Power BI)  

• Conduct exploratory data analysis and hypothesis testing to support decision-making  

• Work with product and operations teams to design A/B tests and interpret results  

MLOps & AI Engineering  

• Experience using AI tools to help implement solutions  

• 2–5 years of hands-on experience in data engineering, analytics, or data science roles  

• Proficiency in SQL and Python for data transformation, analysis, and automation  

• Experience building and maintaining ETL/ELT pipelines using modern tools such as AWS, dbt, Airflow, or custom scripts  

• Solid understanding of data modeling principles (e.g., star/snowflake schemas), schema evolution, and partitioning strategies  

• Familiarity with ETL/ELT best practices including:  

• Incremental processing vs full refresh  

• Idempotent jobs and failure recovery  

• Data validation and quality checks (e.g., null checks, duplication handling)  

• Efficient job orchestration and dependency management  

• Experience with cloud-based data ecosystems (especially AWS, e.g., S3, Redshift, Athena)  

• Solid grounding in statistical methods, A/B testing, and exploratory data analysis  

• Exposure to LLMs, NLP, or embedding-based search, with an interest in integrating AI into analytics workflows  

Joining Adoreal means becoming part of a high-performing, ambitious team that works hard, achieves extraordinary results, and enjoys the rewards that follow. Every employee receives equity, aligning us all in our shared success. Promotions and growth opportunities are limitless, driven only by your performance and dedication to our core principles: 
 

• We do what is best for the company, not what is best for individuals of the company—we take pride in our work, but not in pride itself—the success of Adoreal is more important than our egos. 

• We always share relevant information and admit our mistakes freely and openly (even when it is worrisome or uncomfortable to do so). Candid communication and a solution-oriented mindset is rewarded. 

• We innovate by finding the right problems, then solving them. We thrive on change that minimizes complexity and improves situations for our stakeholders. 

• We incentivize efficient results & people over process and focus only on the work that creates the most value for our stakeholders. 

• We are quietly confident and openly humble, being tenacious in our quest to perform and inspire others with our thirst for excellence. 

• We do not bow up and knock down—we care about our teammates and treat all of them with respect, regardless of their level within the company. 

• We are steadfast in our pursuit to better our company, our colleagues, and ourselves. When we hire, we only hire people who bleed our principles and who will hopefully be our replacement one day. 

At this time, Adoreal is not offering visa sponsorship for this position. Candidates must have current and valid authorization to work in the country where they are applying. We comply with all applicable employment and immigration laws, including U.S. regulations, and encourage applicants to verify their work authorization status before applying.

 
 
Adoreal is an equal opportunity employer committed to fostering a diverse, inclusive, and fair workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic under applicable U.S. law (EEOC) or local employment regulations where we operate. We encourage applications from candidates of all backgrounds. 
Accommodations for disabilities are available upon request throughout the recruitment process. 
 
*We are not working with search firms for this role, thank you*