Job Details

Posted

21

May

Data Engineer


: Available
: 05/21/2025
: Pasadena, TX
: Yes
: No
: $100,000.00 - $130,000.00
: DH
:

Data Engineer | Flexible Hybrid | Azure & BI Focus

We’re hiring a detail-driven Data Engineer with hands-on experience in data pipelines, analytics tools, and cloud-based architecture. This role is a great fit for someone who thrives on solving complex data challenges and building end-to-end solutions that drive business decisions.

Why You’ll Love It Here:

  • Build scalable ETL/ELT pipelines from the ground up

  • Use your Python, R, SQL & Power BI skills daily

  • Collaborate with a smart team of analysts and stakeholders

  • Work in a modern Azure data environment

  • Flexibility to work hybrid or remote where needed

What You’ll Do:

  • Design, build, and optimize ETL pipelines for data transformation

  • Develop scalable datasets/models to support reporting

  • Collaborate cross-functionally to understand business needs

  • Build dashboards in Power BI that deliver insights

  • Maintain and improve Azure-based data infrastructure

  • Troubleshoot performance issues and ensure data integrity

What You Bring:

  • 3+ years of data engineering experience

  • Strong knowledge of Python (2+ yrs), R, SQL, and Excel

  • Hands-on Power BI development experience

  • Familiarity with Azure Data Factory and SQL Database

  • A passion for building scalable and elegant data systems

: Bachelor's degree in a related field preferred
: Proven experience developing data pipelines and infrastructure Cloud-based data environment experience Previous dashboard/reporting creation for business stakeholders
: Information Technology
:
  • Build and optimize ETL pipelines

  • Maintain datasets and models for reporting

  • Collaborate with stakeholders on data needs

  • Use Python, R, and SQL for transformation/automation

  • Maintain Azure data infrastructure

  • Create Power BI dashboards and reports

  • Monitor performance and resolve issues

  • Document pipelines and workflows

:
  • Data pipeline design (ETL/ELT)

  • Python, R, SQL, and Excel

  • Power BI dashboard/report building

  • Azure Data Factory & SQL Database

  • Data wrangling, automation, transformation

  • Data quality checks and monitoring

:
  • 3+ years in data engineering or similar role

  • Proficient in Python (2+ years), R, SQL, Excel

  • Experience with Azure services

  • Power BI proficiency

  • Strong documentation and collaboration skills

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