Loopback Analytics logo
Loopback Analytics

Where Health Systems & Life Sciences Connect.

Data Engineer

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

Location

Texas

Posted

60 days ago

Salary

C$120K - C$130K / year

Seniority

Senior

Bachelor Degree3 yrs expEnglishAzureCloudETLPythonSQL

Job Description

Data Engineer

Loopback Analytics

• Design, build, and maintain scalable data pipelines to ingest, transform, and deliver data across diverse sources and environments • Develop and manage ETL/ELT processes within cloud-based data platforms (e.g., Snowflake, Databricks) • Own and maintain data transformation logic, codebases, and supporting documentation • Model and optimize data structures within data lakes and data warehouses to support analytics and reporting use cases • Ensure data reliability, integrity, and performance to meet client and application SLA requirements • Manage evolving data ingestion formats across Health Systems, Life Sciences, and Enterprise partner ecosystems • Drive automation and continuous improvement of data workflows to reduce manual effort and increase efficiency • Implement data quality checks, monitoring, and validation processes • Collaborate with business and technical stakeholders to gather requirements and translate them into scalable data solutions • Develop and promote best practices in data engineering, data modeling, and pipeline design • Conduct data profiling and support testing efforts in partnership with QA and DevOps teams

Job Requirements

  • 3–5 years of experience in Data Engineering, Data Integration, or a related field
  • Experience designing and building data pipelines and transformation workflows
  • Hands-on experience with cloud data platforms (Snowflake, Databricks) and cloud environments (Azure)
  • Strong experience with SQL and at least one programming language (e.g., Python, C#)
  • Experience with relational and non-relational data modeling, schema design, and performance optimization
  • Familiarity with data lake and data warehouse architecture

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