Senior IT Engineer

JoCo

Dallas (TX)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

JoCo in Wisconsin seeks a Senior IT Engineer to design, build, and optimize cloud-based data platforms using Snowflake, dbt, and Fivetran. You will scale ELT pipelines, implement engineering best practices, and deliver production-ready data solutions with minimal oversight.

You will collaborate with stakeholders, create reusable dbt models, improve Snowflake performance, and automate with Python while adopting Git-based workflows and CI/CD.

Qualifications

  • 10+ years of experience in Data Engineering or Analytics Engineering.
  • Hands-on production experience with Snowflake, dbt, and Fivetran.
  • Advanced SQL skills for complex transformations.
  • Strong Python programming for automation and data engineering.
  • Experience with Git version control, collaboration, and CI/CD.
  • Knowledge of dimensional modeling, data warehousing, and data quality.
  • Experience with Airflow, Astronomer, or similar orchestration tools preferred.
  • Financial services or banking industry experience preferred.

Responsibilities

  • Design, build, and optimize cloud-based data platforms.
  • Develop and support scalable ELT pipelines using Fivetran, dbt, Snowflake.
  • Create modular dbt models, macros, tests, and docs.
  • Optimize Snowflake performance and costs.
  • Build automation and tooling with Python.
  • Implement Git-based development workflows, code reviews, and CI/CD.
  • Monitor and maintain production data pipelines.
  • Collaborate with stakeholders to deliver high-quality data solutions.

Skills

SQL
Python programming
Git & CI/CD
Dimensional modeling
Data warehousing
Data quality
Snowflake
dbt
Fivetran
Airflow
Astronomer

Tools

Snowflake
dbt
Fivetran
Airflow
Astronomer
Git

Job description

The Senior IT Engineer will design, build, and optimize modern cloud-based data platforms using Snowflake, dbt, and Fivetran. This role is ideal for an experienced, hands-on engineer who thrives in developing scalable data solutions, implementing engineering best practices, and driving reliable, production-ready data pipelines with minimal oversight.

Responsibilities
  • Develop and support scalable ELT pipelines utilizing Fivetran, dbt, and Snowflake.
  • Create and maintain reusable dbt models, macros, testing frameworks, and documentation.
  • Design efficient data models while improving Snowflake performance and cost optimization.
  • Build automation and operational tools using Python.
  • Implement Git-based development workflows, code reviews, and CI/CD deployment processes.
  • Monitor, troubleshoot, and maintain reliable production data pipelines.
  • Partner with technical and business stakeholders to deliver high-quality data solutions.
Requirements
  • 10+ years of experience in Data Engineering or Analytics Engineering.
  • Extensive hands-on experience with Snowflake, dbt, and Fivetran in production environments (required).
  • Advanced SQL skills with experience developing complex data transformations.
  • Strong Python programming experience for automation and data engineering.
  • Experience with Git version control, collaborative development, and CI/CD pipelines.
  • Knowledge of dimensional modeling, data warehousing, and data quality best practices.
  • Experience with Airflow, Astronomer, or similar orchestration tools is preferred.
  • Financial services or banking industry experience is preferred.
You would be really happy here if
  • You can be counted on in crucial times, maintaining strong focus while delivering projects successfully and efficiently.
  • Roadblocks don’t intimidate you. You understand how to evaluate challenges and develop effective solutions.

JoCo is an Equal Opportunity Employer. We are committed to providing a diverse and inclusive workplace and do not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, national origin, disability, age, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business needs.

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