AssistRx

Data Engineer – HealthTech

AssistRx

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

ApacheAzureBigQueryCloudCognosETLHadoopInformaticaJavaLinuxMapReducePythonSparkSQLTableau

About the role

  • 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**

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
ETL pipelinesdata cleansingdata validationdata transformationadvanced SQLbig data technologiescloud-based data warehousingdata integration toolsdata lakesdata vaults
Soft skills
communicationproblem-solvingcollaborationefficiency improvementautomationdata consistencyproactive approach
Certifications
Bachelor’s degree