Senior Data Engineer: Scalable Pipelines & Snowflake

Anblicks

Dallas (TX)

On-site

USD 110,000 - 150,000

Full time

13 hours ago
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Job summary

Anblicks in Dallas is seeking a data engineer to design, build, and maintain scalable data pipelines that support analytics, reporting, and BI needs.

You will optimize dbt workflows, architect Snowflake data models, integrate data from multiple sources using ETL/ELT tools, troubleshoot issues, and document architecture for the team. The role emphasizes collaboration with data analysts and business stakeholders to drive reliable insights.

Qualifications

  • Experience designing and implementing scalable data pipelines.
  • Strong SQL and data modeling skills.
  • Ability to collaborate with analysts and stakeholders.
  • Familiarity with data quality checks and monitoring.

Responsibilities

  • Design, build, and maintain scalable data pipelines for analytics and BI.
  • Develop and optimize dbt workflows with modularity and tests.
  • Architect Snowflake data models and warehousing for performance.
  • Integrate data from multiple sources using ETL/ELT tools.
  • Troubleshoot pipeline issues with strong analytical skills.
  • Document architecture and pipeline logic for knowledge sharing.
  • Implement data quality checks, monitoring, and alerts.
  • Optimize SQL queries and warehouse performance.
  • Stay current with new data engineering tools and practices.
  • Collaborate with analysts, scientists, and stakeholders.

Skills

SQL
Python
Data Modeling
Analytics
Collaboration

Tools

dbt
Snowflake
ETL Tools
Airflow

Job description

Anblicks in Dallas is seeking a data engineer to design, build, and maintain scalable data pipelines that support analytics, reporting, and BI needs.

You will optimize dbt workflows, architect Snowflake data models, integrate data from multiple sources using ETL/ELT tools, troubleshoot issues, and document architecture for the team. The role emphasizes collaboration with data analysts and business stakeholders to drive reliable insights.

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