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