Sr. Data Engineer

GTN Technical Staffing; Miami (FL); Hybrid; USD 90,000 - 135,000; Full time

Job summary

GTN Technical Staffing is seeking a Data Engineer to design, build, and operate governed data pipelines enabling analytics and decision‑making at scale.

You will partner with analysts, product owners, and architects to deliver automated data products while focusing on observability, performance, and cost optimization.

Qualifications

• 3–5+ years of experience as a Data Engineer, Software Developer, or Automation Engineer.
• Strong hands‑on experience with SQL and Python.
• Experience building cloud‑based data pipelines and data warehouses.
• Production experience with Snowflake and Informatica IICS.
• Experience with Git and CI/CD pipelines.
• Strong understanding of data modeling concepts (Kimball or Inmon).
• Ability to translate business and operational needs into automated data solutions.
• Comfortable working with cross‑functional, multicultural teams.
• Fluent in English and Spanish.

Responsibilities

• Design, develop, and optimize ETL/ELT pipelines.
• Build reusable and governed data models.
• Translate business requirements into reliable data products.
• Implement data pipeline monitoring and alerting.
• Optimize performance and manage data platform costs.
• Develop pipelines using Snowflake, Informatica IICS, and dbt.
• Build analytics-ready datasets for forecasting, logistics, and analytics.
• Support BI and reporting use cases.
• Implement CI/CD pipelines for data workflows.
• Automate testing and deployments.
• Manage source control using Git.
• Apply data governance, security, and compliance standards.
• Document data lineage and transformations.
• Partner with analysts, product owners, automation engineers, and architects.
• Mentor junior engineers and contribute to standards.

Skills

SQL

Python

Data Pipelines

Data Warehousing

Data Modeling

Data Observability

Git

CI/CD Pipelines

Azure DevOps

dbt

Tools

Snowflake

Informatica IICS

Azure Data Services

Power BI

Git

Azure DevOps

Job description

Job Title

Data Engineer

Department

Data & Analytics

Location

Hybrid, located in Miami

Employment Type

Contract to Hire

Role Summary

As a Data Engineer, you will design, build, and operate reliable, governed, and cost-efficient data pipelines that connect core platforms and support analytics, operations, and digital decision-making at scale. This role blends hands‑on engineering with ownership of how data moves across the enterprise, with a strong focus on automation, observability, and performance.

You will partner closely with analysts, product owners, automation engineers, and architects to turn complex business needs into well‑designed, automated data products.

Key Responsibilities

Data Engineering & Pipelines

• Design, develop, and optimize ETL/ELT pipelines
• Build reusable and governed data models
• Translate business requirements into reliable data products
• Implement data pipeline monitoring and alerting
• Optimize performance and manage data platform costs

Data Platforms & Tools

• Develop pipelines using Snowflake, Informatica IICS, and dbt
• Build analytics‑ready datasets for forecasting, logistics, and member analytics
• Support BI and reporting use cases

Automation & DevOps

• Implement CI/CD pipelines for data workflows
• Automate testing and deployments
• Manage source control using Git

Governance & Security

• Apply data governance, security, and compliance standards
• Document data lineage, transformations, and operational processes

Collaboration & Leadership

• Partner with analysts, product owners, automation engineers, and architects
• Mentor junior engineers
• Contribute to data engineering standards and best practices

Required Skills

Data Engineering

• ETL / ELT
• Data Pipelines
• Data Warehousing
• Data Modeling (Kimball, Inmon)
• Data Lineage
• Data Observability

Cloud & Platforms

• Snowflake
• Informatica IICS (CDI, CAI)
• Azure Data Services
• Power BI

Programming & Querying

• SQL
• Python

DevOps & Automation

• Git
• CI/CD Pipelines
• Azure DevOps
• DataOps
• Automated Testing

Governance & FinOps

• Data Governance
• Data Security
• Compliance
• Cost Optimization
• FinOps

Ways of Working

• Cross-functional collaboration
• Technical documentation
• Mentorship

Qualifications

• 3–5+ years of experience as a Data Engineer, Software Developer, or Automation Engineer
• Strong hands‑on experience with SQL and Python
• Experience building cloud‑based data pipelines and data warehouses
• Production experience with Snowflake and Informatica IICS
• Experience with Git and CI/CD pipelines
• Strong understanding of data modeling concepts (Kimball or Inmon)
• Ability to translate business and operational needs into automated data solutions
• Comfortable working with cross‑functional, multicultural teams
• Fluent in English and Spanish

Nice‑to‑Have Skills

• Experience with dbt
• Experience implementing monitoring and alerting for data platforms
• Experience with FinOps or cost governance for cloud data platforms
• Experience supporting analytics and BI teams

Cultural Attributes

• Self‑directed and comfortable working with minimal supervision
• Calm under pressure and adaptable when constraints change
• Comfortable moving forward with imperfect information
• Brings positive energy and curiosity to the team
• Enjoys building things and solving messy problems