Remote Data Engineer - Advanced Analytics Leader

Children's Medical Center

Dallas (TX)

Remote

USD 100,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Parental Leave
Caregiver Leave
Retirement plan match

Job summary

Children’s Health in Dallas, TX seeks a Data Engineer to design and deliver scalable data pipelines and curated data products that empower analytics and data science teams. You will work within Advanced Analytics to integrate diverse data sources and support enterprise decision-making in a healthcare setting.

The role emphasizes data architecture, governance, and collaboration across cross-functional teams in an agile environment, contributing to modern data platforms and reusable components.

Qualifications

  • 5+ years in data engineering or data architecture roles.
  • 5+ years with SQL (SQL Server, Oracle, etc.).
  • 3+ years of Python.
  • 5+ years ETL/data pipelines (SSIS, ADF).
  • 5+ years data warehouses in big data environments (Snowflake, SAP Hana).

Responsibilities

  • Design and deliver scalable data pipelines and architectures.
  • Collaborate with cross-functional teams to translate business needs into data solutions.
  • Maintain data quality, governance, and documentation across platforms.
  • Lead implementation of modern data platforms and tools.
  • Mentor junior team members and promote reusability and best practices.

Skills

SQL
Python
ETL pipelines
Data warehouses
Cloud computing
BI tools (Tableau/Power BI)
Git
Data modeling
Data governance

Education

Bachelor's degree in Computer Science / related field

Tools

Azure Data Factory
Snowflake
SSIS
Power BI
Tableau

Job description

Children’s Health in Dallas, TX seeks a Data Engineer to design and deliver scalable data pipelines and curated data products that empower analytics and data science teams. You will work within Advanced Analytics to integrate diverse data sources and support enterprise decision-making in a healthcare setting.

The role emphasizes data architecture, governance, and collaboration across cross-functional teams in an agile environment, contributing to modern data platforms and reusable components.

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