Loopback Analytics

Where Health Systems & Life Sciences Connect.

Senior Data Engineer

Data EngineerData EngineerFull TimeRemoteTeam 51-200Since 2009H1B No SponsorCompany SiteLinkedIn

Location

Texas

Posted

28 days ago

Salary

Not specified

Bachelor Degree6 yrs expEnglishApacheAWSAzureCloudETLHadoopJavaKafkaPythonScalaSparkSQL

Job Description

• Design and build data pipelines for collecting, processing, and storing healthcare clinical data, and continuously improve them. • Collaborate with data scientists, data integration specialists, analysts, and other stakeholders to understand data requirements and translate them into scalable solutions. • Implement data validation, cleansing, and transformation processes to ensure data accuracy and consistency. • Proactively monitor and troubleshoot pipeline performance, identifying and resolving issues before they become problems. • Ensure data security and compliance with industry regulations, including HIPAA. • Partner with the DevOps team to deploy and manage data pipeline infrastructure in our Azure cloud environment. • Evaluate and adopt emerging tools, frameworks, and techniques that can improve our data platform: bring recommendations, not just questions. • Leverage AI-assisted development tools and modern engineering workflows to accelerate delivery and improve code quality.

Job Requirements

  • 6+ years of hands-on data engineering experience, with significant exposure to healthcare clinical data.
  • Proficient with Databricks for building and optimizing data pipelines.
  • Strong programming skills in Python, Scala, or Java for data processing and automation.
  • Experience with big data technologies such as Apache Spark, Hadoop, or Kafka.
  • Working knowledge of cloud-based data platforms (Azure preferred; AWS or Google Cloud also valued) and related services.
  • Strong SQL skills for data manipulation, querying, and performance optimization.
  • Solid understanding of data modeling, ETL/ELT design principles, and data warehouse architecture.
  • Demonstrated ability to troubleshoot complex data issues and deliver practical, well-documented solutions.

Benefits

  • Health insurance
  • Professional development opportunities

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