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Job Details

Skills

Pivotal
Management
Reporting
Relational Databases
Streaming
Storage
Amazon Redshift
Amazon DynamoDB
Data Quality
Auditing
Data Governance
Information Security
Risk Management
Access Control
Encryption
Production Support
Incident Management
Root Cause Analysis
Business Operations
Version Control
Automated Testing
Scalability
Operational Efficiency
Continuous Improvement
IT Management
Mentorship
IaaS
Microsoft SSIS
Innovation
Operational Excellence
Policies and Procedures
Training
Supervision
Computer Science
Information Technology
Information Systems
Data Engineering
Data Modeling
Performance Tuning
SQL
Python
PySpark
Analytics
Extract
Transform
Load
ELT
Cloud Computing
Continuous Integration
Continuous Delivery
Git
Jenkins
GitHub
Terraform
Workflow
Orchestration
Apache Airflow
Step-Functions
Snow Flake Schema
Financial Services
Banking
Data Analysis
Machine Learning (ML)
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Cloud Architecture
Data Processing
Problem Solving
Conflict Resolution
Analytical Skill
Communication
Collaboration
Data Warehouse
Business Intelligence
Big Data
Apache Hadoop
Apache Spark
Apache Kafka

Pivotal
Management
Reporting
Relational Databases
Streaming
Storage
Amazon Redshift
Amazon DynamoDB
Data Quality
Auditing
Data Governance
Information Security
Risk Management
Access Control
Encryption
Production Support
Incident Management
Root Cause Analysis
Business Operations
Version Control
Automated Testing
Scalability
Operational Efficiency
Continuous Improvement
IT Management
Mentorship
IaaS
Microsoft SSIS
Innovation
Operational Excellence
Policies and Procedures
Training
Supervision
Computer Science
Information Technology
Information Systems
Data Engineering
Data Modeling
Performance Tuning
SQL
Python
PySpark
Analytics
Extract
Transform
Load
ELT
Cloud Computing
Continuous Integration
Continuous Delivery
Git
Jenkins
GitHub
Terraform
Workflow
Orchestration
Apache Airflow
Step-Functions
Snow Flake Schema
Financial Services
Banking
Data Analysis
Machine Learning (ML)
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Cloud Architecture
Data Processing
Problem Solving
Conflict Resolution
Analytical Skill
Communication
Collaboration
Data Warehouse
Business Intelligence
Big Data
Apache Hadoop
Apache Spark
Apache Kafka

Summary

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 orchestrate 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, support and maintain 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.
Collaborate 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.

SUPERVISORY RESPONSIBILITIES
N/A

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL193219
Position Id: c7c07c3f0fcf03a214efbee0feed1322
Posted 2 days ago

AWS Cloud Data Engineer

Remote

•

24d ago

Job Title: AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model: Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES Design, build, and maintain scalable data pipelines and processing solutions within AWS cloud environments. Partner with AWS Cloud DBAs and cross-functional teams to migrate data from legacy applications to AWS while ensuring performance, reliability, and

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Cloud Data Engineer II

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Cloud Data Engineer II

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