Data Engineer II: Build Scalable AWS/Snowflake Pipelines

Eightelevengroup; Miami (FL); Hybrid; USD 76,000 - 83,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

Brooksource is seeking a Data Engineer II for a contract-to-hire role in a hybrid setting based in Miami, FL or Dallas, TX. The candidate will build scalable data pipelines, support an AWS/Snowflake migration, and collaborate with data scientists and stakeholders to enable data-driven decisions.

The role requires 2-4 years of data engineering experience, strong SQL, and proficiency in Python or Java/Scala, with exposure to ETL tools and data governance practices. Hybrid work schedule offered.

Qualifications

• Bachelor’s degree in CS, Engineering, IT, or related field
• 2-4 years of Data Engineering experience delivering data solutions
• Proficient SQL writing, optimization, and tuning
• Production AWS data services and Snowflake experience
• Strong Python/Java/Scala coding for data processing

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL for large volumes of data
• Collaborate with data scientists, analysts, and stakeholders to translate requirements
• Implement data governance and security measures
• Develop data integrations between internal systems and third-party providers
• Document pipelines and data models
• Mentor junior data engineers and promote best practices
• Write clean Python code for ingestion and orchestration
• Maintain data quality frameworks and pipeline observability
• Contribute to IaC with Terraform
• Support end-to-end project ownership

Skills

SQL

AWS data services

Snowflake

Python

NoSQL databases

Apache Spark

ETL pipelines

Terraform

Airflow

Data governance

Education

Bachelor’s degree in Computer Science, Engineering, IT, or related field

Tools

dbt

Glue

Lambda

S3

Qlik

Apache Spark

Hadoop

Job description

Brooksource is seeking a Data Engineer II for a contract-to-hire role in a hybrid setting based in Miami, FL or Dallas, TX. The candidate will build scalable data pipelines, support an AWS/Snowflake migration, and collaborate with data scientists and stakeholders to enable data-driven decisions.

The role requires 2-4 years of data engineering experience, strong SQL, and proficiency in Python or Java/Scala, with exposure to ETL tools and data governance practices. Hybrid work schedule offered.