Data Engineer

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 SkillsÂ

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