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Open nowPosted 5 hours agoWe saw it 67 min after it went up

Principal Engineer I - Data Engg & AI

Anblicks91 open roles

Where
Dallas
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Your applicationOpen nowPrincipal Engineer I - Data Engg & AIAnblicks · Dallas

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Anblicks's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Anblicks postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 5 hours ago

Anblicks median: 2 days open

The posting

  • Lead the design, development, optimization, and maintenance of scalable data pipelines using Snowflake and dbt.
  • Own data engineering solutions end-to-end, from requirements analysis and data modeling through development, testing, and production deployment.
  • Design efficient data models and transformation frameworks supporting enterprise analytics and business consumption.
  • Develop and optimize complex SQL transformations, incremental processing, CDC, and ELT workflows.
  • Troubleshoot complex data issues, perform root cause analysis, and implement sustainable engineering solutions.
  • Establish engineering best practices around code quality, modularity, reusability, performance optimization, and cost efficiency.
  • Build robust data quality, reconciliation, monitoring, and validation frameworks.
  • Collaborate with architects, business stakeholders, and engineering teams to translate business requirements into scalable technical solutions.
  • Lead technical design reviews, mentor engineers, and ensure high-quality deliverables.
  • Identify opportunities for automation, simplification, and continuous improvement.

Required Technical Skills

  • Snowflake: Strong hands-on expertise in Snowflake architecture, performance tuning, query optimization, warehouse sizing, Snowpark, and data loading strategies.
  • dbt: Advanced experience with dbt models, incremental strategies, macros, Jinja, testing, snapshots, documentation, and CI/CD integration.
  • SQL: Expert-level SQL skills, including complex joins, window functions, query optimization, and troubleshooting.
  • Python: Strong programming skills for data engineering, automation, and integration.
  • Data Modeling: Experience with dimensional modeling, medallion architecture, data warehousing, and enterprise data models.
  • Data Engineering: Strong understanding of ETL/ELT, batch and incremental processing, CDC, data quality, and reconciliation.
  • Cloud Platforms: Experience with Azure data services.
  • DevOps: Experience with Git, CI/CD pipelines, deployment automation, and engineering standards.
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