Data Engineer: ELT, Python & Snowflake (Hybrid — Miami/Austin)

Harnham; Florida; Hybrid; USD 149,000 - 182,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model

Job summary

Harnham is seeking a Data Engineer to build scalable data pipelines and model data for analytics in a hybrid role based in Miami, FL or Austin, TX. Relocation assistance is offered to local candidates ready to join a growing data platform team.

You will implement ELT pipelines, optimize dbt models, and collaborate with analytics and business teams to deliver trusted datasets and a modern cloud data warehouse solution.

Qualifications

• Approximately 3+ years of experience in Data Engineering, Analytics Engineering, or a related field.
• Strong SQL skills with experience working with large datasets.
• Hands-on Python experience for data processing and automation.
• Experience building and maintaining dbt models.
• Exposure to data warehousing concepts and cloud-based data platforms.
• Understanding of ETL/ELT processes and data transformation best practices.
• Strong problem-solving skills and ability to learn in a fast-paced environment.
• Excellent communication and collaboration across technical and business teams.

Responsibilities

• Build and maintain data pipelines using SQL, Python, and modern ELT practices.
• Develop and optimize dbt models that support analytics and business reporting.
• Integrate data from multiple business systems into a centralized cloud data warehouse.
• Improve data quality, reliability, and accessibility across the organization.
• Partner with analytics and business teams to deliver trusted datasets.
• Support the implementation of a new Snowflake environment and modern data platform.
• Contribute to data governance, documentation, and best practices as the platform grows.

Skills

SQL

Python

dbt

ETL/ELT

Tools

Snowflake

Fivetran

Domo

Job description

Harnham is seeking a Data Engineer to build scalable data pipelines and model data for analytics in a hybrid role based in Miami, FL or Austin, TX. Relocation assistance is offered to local candidates ready to join a growing data platform team.

You will implement ELT pipelines, optimize dbt models, and collaborate with analytics and business teams to deliver trusted datasets and a modern cloud data warehouse solution.