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Data Engineer (HealthTech)

23 hours, 43 minutes ago
United States
Full-time
Senior
Data Engineer
Software Development
Apache Apache Spark Azure dbt GCP Hadoop Hive Java Linux MapReduce Power BI Python Salesforce Snowflake SQL Tableau
Apply Now
AssistRx

AssistRx

AssistRx is a technology solutions company that connects pharmaceutical and biotech manufacturers with prescribers, patients, and providers. Their flagship product, iAssist, simplifies the prescribing process for specialty therapies, focusing on accura...

Pharmaceuticals
251-1K
Founded 2009
View All Jobs 6

Description

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

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 experience designing and optimizing queries for large datasets.
  • Hands-on experience with ETL tools such as Informatica, Talend, dbt, or Azure Data Factory.
  • Experience with healthcare data and PHI/PII compliance requirements.
  • Strong background in cloud-based data warehousing such as Snowflake or BigQuery.
  • Familiarity with open-source platforms and scripting languages such as Python, Java, Linux, and Apache.
  • Working knowledge of BI and reporting tools such as Power BI, Tableau, or Cognos.
  • Experience with big data technologies such as Spark, Hadoop, Hive, or MapReduce.
  • Excellent communication, problem-solving, and collaboration skills with a proactive approach.

Benefits

  • Competitive pay structure.
  • Matching 401(k) with immediate vesting.
  • Medical, dental, vision, life, and 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.
  • Career growth opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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