Data Engineer III - Chandler, AZ, Tampa, FL, Austin, TX, Atlanta, GA, Baltimore, MD

Job Title: Data Engineer III
Location: Chandler, AZ, Tampa, FL, Austin, TX, Atlanta, GA, Baltimore, MD
Can do Only w2, No C2C

Job Summary:

• We are seeking an experienced Data Engineer III to join an Enterprise Data team focused on modernizing and consolidating cloud-based data platforms. The ideal candidate will design, develop, and optimize scalable data pipelines, ingestion frameworks, and data models supporting analytics, reporting, operational insights, and near real-time data delivery.
• This role requires strong expertise in cloud data engineering, AWS, Snowflake, SQL, Python, ETL/ELT frameworks, streaming technologies, and data governance. The candidate will collaborate with engineering teams and business stakeholders to translate requirements into secure, scalable, and high-performing data solutions.

Key Responsibilities:

• Design, build, maintain, and optimize scalable and reliable data pipelines and ETL/ELT workflows.
• Develop and enhance cloud-based data ingestion frameworks using AWS data services, including Glue and DataSync.
• Build and support data solutions using Snowflake, dbt, and modern data engineering platforms.
• Implement ingestion strategies for structured and unstructured data from databases, APIs, and streaming sources.
• Ensure data quality, accuracy, security, and compliance across enterprise data platforms.
• Develop and maintain scalable data models supporting analytics, reporting, and business intelligence needs.
• Troubleshoot and resolve issues related to data pipelines, ingestion jobs, workflows, and data processing.
• Monitor data ecosystem performance and perform performance tuning to identify and resolve bottlenecks.
• Support real-time and near real-time data delivery requirements.
• Integrate operational and QoS telemetry datasets to improve visibility and reporting capabilities.
• Apply data governance standards, regulatory compliance requirements, and security best practices.
• Partner with technical and business stakeholders to gather requirements and deliver scalable data architectures.
• Provide technical guidance, communicate project status, and drive ownership of assigned deliverables.

Required Skills:

• 5+ years of experience in Data Engineering designing and supporting scalable data solutions.
• Strong hands-on experience with:
• Snowflake
• SQL
• Python
• dbt
• ETL / ELT processes
• Data Modeling
• Experience designing and developing enterprise-scale data pipelines.
• Strong understanding of:
• Data ingestion frameworks
• Extract, Transform, Load (ETL) processes
• Workflow orchestration
• Data quality management
• Data governance

Experience working with:

• Apache Kafka
• Apache NiFi / Apache Flow-based tools
• Streaming and batch processing frameworks
• Hands-on experience with Amazon Web Services (AWS) data services.
• Experience handling structured and unstructured data sources.
• Knowledge of databases, messaging platforms, and real-time data processing.
• Experience with analytics, reporting, and operational data solutions.
• Ability to perform data platform troubleshooting and performance optimization.

Preferred Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
• Experience building cloud-native enterprise data platforms.
• Familiarity with:
• AWS Glue
• AWS DataSync
• Snowflake schema concepts
• Modern data architecture patterns
• Experience supporting artificial intelligence and advanced analytics workloads.
• Exposure to Apache HTTP Server and related infrastructure technologies.

Soft Skills:

• Strong communication skills with the ability to explain technical concepts to technical and non-technical audiences.
• Excellent decision-making and problem-solving abilities.
• Strong organizational skills with the ability to prioritize tasks and manage workload effectively.
• Ability to collaborate with cross-functional teams.
• Strong ownership mindset with attention to detail.
• Ability to work independently and manage multiple priorities.

Mandatory Skills:

• Must Have Technologies / Skills:
• Data Engineering
• Snowflake
• SQL
• Python
• dbt
• ETL / ELT
• Data Modeling
• AWS (Amazon Web Services)
• Apache Kafka
• Apache NiFi
• Data Pipelines
• Data Ingestion
• Streaming Data
• Batch Processing
• Data Quality
• Data Governance
• Performance Tuning