IT Systems Engineer - Cloud Data and Analytics

Envera Systems; Saint Petersburg (FL); On-site; USD 85,000 - 110,000; Full time

Job summary

A leading security technology firm in the United States seeks an experienced IT Systems Engineer - Cloud Data and Analytics. You will design and manage secure cloud-native data pipelines primarily in AWS, ensuring data governance and compliance while working closely with various stakeholders. The ideal candidate has 3-5 years of experience in cloud data engineering, strong SQL abilities, and familiarity with ETL automation using Python.

Qualifications

• 3-5 years of cloud data engineering or analytics experience in AWS environments.
• Experience with Physical Security infrastructure is a plus.
• Certifications like AWS Solutions Architect or Azure Architect are desirable.

Responsibilities

• Design and manage data lakes and warehouses on AWS.
• Build secure, automated ETL/ELT pipelines.
• Ensure encryption and compliance for data assets.
• Monitor system performance and optimize queries.

Skills

Cloud solutions on AWS

SQL & schema design

Python for ETL automation

Event-driven architectures

IAM roles and encryption standards

Education

Bachelor's degree in Computer Science, Data Engineering, or Information Systems

Tools

AWS

Tableau

Power BI

Quicksight

Job description

IT Systems Engineer - Cloud Data and Analytics

About The Organization

Envera Systems is a leader in physical security and monitoring solutions, running a 100% cloud-native IT platform. We are scaling our data and analytics practice to better deliver intelligence and insights to both internal operations and customers.

Description

The IT Systems Engineer - Cloud Data & Analytics will design, build, and optimize secure cloud-native data pipelines and warehouse environments primarily in AWS. The engineer will work closely with our clients, development teams, infrastructure teams, data & analytics team, and other stakeholders to ensure the successful implementation and operation of cloud services. The Engineer will also ensure data availability, governance, and scalability while applying best practices in security and automation.

Responsibilities & Expectations

• Design and manage data lakes and warehouses on AWS and other platforms as needed.
• Build secure, automated ETL/ELT pipelines leveraging Lambda, Step Functions, Glue, and API integrations.
• Ensure encryption, secure access (IAM policies, RBAC), and compliance for data assets.
• Monitor system performance, optimize queries, and introduce partitioning, caching, or indexing strategies.
• Develop metadata management and data catalog solutions for consistent business definitions.
• Collaborate with BI analysts to develop data sources optimized for Tableau, Power BI, or Quicksight.
• Troubleshoot failures and implement proactive monitoring on data pipelines.

Required Skills & Certifications

• Strong experience in designing, implementing, and managing cloud solutions on the AWS platform (Azure and GCP is a plus).
• Strong proficiency in SQL & schema design, plus Python for ETL automation preferred.
• Familiarity with event-driven architectures and message queues (SNS, SQS, Kafka).
• Knowledge of IAM roles for services, encryption standards (AES-256, TLS 1.2+), and tokenized data exchange.
• Preferred certifications: AWS Data Analytics Specialty or AWS Database Specialty.

Education/Experience

• Experience with Physical Security infrastructure, hardware and software is a strong plus.
• Certifications such as AWS Solutions Architect, Azure Architect, PMP, or CSM are a plus.
• Experience in high-growth or service-based organizations strongly preferred.
• Experience in a for-profit, fast-paced technology environment is ideal.
• Bachelor's degree in Computer Science, Data Engineering, or Information Systems or equivalent work experience.
• 3-5 years of cloud data engineering or analytics experience in AWS environments.

Employment type: Full-time

Seniority level: Mid-Senior level

Job function: Information Technology

Industries: Security Systems Services

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