Cloud Data Engineer II

RadNet, Inc.; Miami (FL); On-site; USD 110,000 - 150,000; Full time

Job summary

BankUnited is seeking a Cloud Data Engineer II to design and optimize cloud data pipelines. The role emphasizes AWS, Snowflake, dbt, and data governance to support analytics, reporting, and AI initiatives.

You will build scalable data models, ensure data quality, and collaborate with teams to enforce enterprise standards while advancing cloud architecture and automation.

Qualifications

• Bachelor’s degree in a technical field or equivalent experience.
• 3+ years of data/cloud engineering experience in enterprise settings.
• Hands-on AWS, Snowflake, and dbt experience with data modeling.
• Strong SQL, Python, and PySpark for data transformation workloads.
• Experience building ETL/ELT pipelines in cloud environments.

Responsibilities

• Designs, builds, and optimizes cloud-based data pipelines and ELT processes.
• Leverages AWS, Snowflake, dbt to enable analytics and AI/ML initiatives.
• Maintains data quality, lineage, and governance across platforms.
• Collaborates with cross-functional teams to define cloud data standards.
• Supports CI/CD and IaC practices for reliable deployments.

Skills

SQL

Python

PySpark

Analytical thinking

Communication

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS

Snowflake

dbt

Airflow

Redshift

GitHub Actions

Job description

Job Summary: The Cloud Data Engineer II will play a pivotal role in managing and optimizing cloud infrastructure and services. This position is responsible for implementing and maintaining cloud-based solutions to support the organization's data and analytics initiatives. The ideal candidate will have a strong background in cloud data engineering, with expertise in AWS and Snowflake data platforms.

Essential Duties and Responsibilities

• Designs, develops, and implements cloud-based data and analytics solutions leveraging AWS, Snowflake, dbt, and related technologies.
• Builds, maintains, and optimizes scalable data pipelines, ELT processes, and transformation frameworks supporting enterprise reporting, analytics, and AI/ML initiatives.
• Ingests and integrates data from diverse sources, including relational databases, APIs, and streaming platforms, into cloud data lakes and data warehouses.
• Develops and maintains reusable dbt models and data transformation frameworks in accordance with enterprise data modeling, governance, and coding standards.
• Designs and optimizes data models for performance, scalability, storage efficiency, and analytics using Redshift, Athena, DynamoDB, Snowflake, and other cloud-native technologies.
• Automates and orchestrates data workflows using AWS Glue, Step Functions, Apache Airflow, dbt Cloud, and related tools.
• Implements data quality, reconciliation, monitoring, lineage, and auditing controls to ensure trusted, reliable, and compliant data assets.
• Ensures solutions adhere to enterprise data governance, information security, risk management, and regulatory requirements, including appropriate data access controls and encryption standards.
• Monitors, supports, and maintains cloud data platforms, pipelines, and infrastructure to ensure operational stability, reliability, and cost efficiency.
• Participates in production support activities, including incident management, root cause analysis, problem resolution, and continuous service improvement initiatives.
• Proactively monitors platform and pipeline performance, identifying and resolving issues before they affect business operations.
• Supports CI/CD processes through source control, automated testing, and deployment methodologies to enable efficient and reliable solution delivery.
• Leverages Infrastructure-as-Code (IaC) and automation practices to improve platform consistency, scalability, reliability, and operational efficiency.
• Collaborates with cross-functional teams to establish cloud architecture standards, best practices, and continuous improvement initiatives.
• Provides technical leadership, mentorship, and support to junior team members and business partners.
• Troubleshoots complex technical issues across cloud infrastructure, data platforms, and integration services.
• Stays current with emerging cloud, data engineering, analytics, and AI technologies to drive innovation and operational excellence.
• Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e., Bank Secrecy Act, US PATRIOT Act, etc.).
• Adheres to Bank policies and procedures and completes required training.
• Identifies and reports suspicious activity.

Qualifications

Education

• Bachelor's Degree in Computer Science, Information Technology, Information Systems, Engineering, or a related field.
• Equivalent combination of education and relevant experience may be considered.

Experience

• Minimum of 3 years of experience in Data Engineering, Cloud Engineering, or a related technology role, required.
• Hands‑on experience designing and supporting cloud‑based data solutions utilizing AWS services, required.
• Experience with Snowflake Data Cloud, including data modeling, performance optimization, and security best practices, required.
• Experience developing and maintaining data transformation frameworks using dbt Cloud and/or dbt Core, required.
• Strong proficiency in SQL, Python, and PySpark for data transformation, automation, and analytics workloads, required.
• Experience building and supporting ETL/ELT pipelines in cloud environments, required.

Preferred Qualifications

• Experience with CI/CD practices and tools such as Git, GitHub, Jenkins, GitHub Actions, Terraform, or similar technologies.
• Experience with workflow orchestration tools such as Apache Airflow, AWS Step Functions, or similar platforms.
• AWS, Snowflake, or dbt certifications.
• Experience in financial services, banking, or other highly regulated industries.
• Exposure to data analytics, machine learning, or AI‑enabled data platforms.

Licenses and Certifications

Relevant certifications such as AWS Certified Solutions Architect, Azure Solutions Architect, or similar are preferred.

Knowledge, Skills, and Abilities

• Strong understanding of cloud architecture, including infrastructure as code (IaC) and containerization technologies.
• Familiarity with serverless architectures for data processing.
• Excellent problem‑solving and analytical skills.
• Strong communication and collaboration skills.
• Knowledge of data warehousing and business intelligence best practices.
• Familiarity with big data technologies such as Hadoop, Spark, and Kafka.

Additional Information

Candidates residing in locations within BankUnited's footprint may be given preference.

Equal Opportunity Employer

BankUnited is an Equal Opportunity Employer. BankUnited does not discriminate against individuals on the basis of race, creed, color, gender, religion, national origin, age, disability, veteran status, pregnancy, marital status, citizenship status, sexual orientation, gender identity, genetic information, or any other classification protected by applicable laws.