Data Engineer – HealthTech

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October 9

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AssistRx

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Healthcare Insurance • Pharmaceuticals • SaaS

AssistRx is a company that specializes in providing technology-enabled solutions and expertise to enhance patient access to therapy and improve healthcare outcomes. They offer integrated solutions for therapy initiation, patient support, and analytics, focusing on connecting all stakeholders in the specialty pharmaceutical industry, including patients, healthcare providers, specialty pharmacies, and life sciences organizations. AssistRx's platforms aim to streamline enrollment, reduce therapy disruptions, and utilize real-time data to improve the patient experience. Their solutions are designed to be flexible, interoperable, and scalable, enabling better results in the delivery and management of specialty therapies.

501 - 1000 employees

Founded 2011

⚕️ Healthcare Insurance

💊 Pharmaceuticals

☁️ SaaS

📋 Description

• Design and implement robust **ETL pipelines** using **Azure Data Factory, dbt, Snowflake, and Salesforce** for client data migrations and integrations. • Build processes for **data cleansing, validation, and transformation** to ensure high data quality before migration and reporting. • Create and maintain detailed **data flow documentation** for all client implementations and internal processes. • Partner with internal stakeholders to support the **architecture and scalability** of Salesforce multi-tenant solutions and downstream data products. • Continuously evaluate and implement **new data integration tools and technologies**, training peers on best practices. • Identify opportunities to improve **efficiency, automation, and data consistency** across shared data processes. • Contribute to the development of **enterprise data lakes, data vaults, and MDM solutions** that support business intelligence and analytics.

🎯 Requirements

• **Bachelor’s degree** in Computer Science, Math, Software Engineering, or a related field. • **6+ years** of experience in data engineering, data analytics, or software development. • **Advanced SQL** skills with strong experience designing and optimizing queries for large datasets. • Hands-on experience with **ETL tools** (e.g., Informatica, Talend, dbt, Azure Data Factory). • Experience with **healthcare data**, including PHI/PII compliance requirements. • Strong background in **cloud-based data warehousing** (Snowflake, BigQuery, etc.). • Familiarity with **open-source platforms and scripting languages** (Python, Java, Linux, Apache). • Working knowledge of **BI and reporting tools** (Power BI, Tableau, Cognos). • Experience with **big data technologies** such as Spark, Hadoop, Hive, or MapReduce. • Excellent **communication, problem-solving, and collaboration** skills with a proactive approach to

🏖️ Benefits

• Supportive, progressive, fast-paced environment • Competitive pay structure • Matching 401(k) with immediate vesting • Medical, dental, vision, life, & short-term disability insurance • Opportunity to impact patient outcomes through data-driven healthcare technology. • Collaborative and mission-driven culture that values innovation and continuous learning. • Access to cutting-edge cloud technologies and modern data engineering tools. • Competitive compensation, comprehensive benefits, and career growth opportunities**