Master Data Engineer

Lighthouse Technology Services is partnering with our client to fill their MDM Data Engineer position! This is a 6 months contract-to-hire and will be remote in Charlotte NC. This role will be a W2 employee of Lighthouse Technology Services. No C2C or subcontracting arrangements will be considered.

What Youll Be Doing:

• Design and deploy scalable cloud-native data architectures across AWS including data lakes warehouses and real-time streaming pipelines that support enterprise-wide analytics and operations
• Build and maintain robust ETL/ELT workflows using AWS Glue Lambda and Python to orchestrate data movement from ingestion through modeling and delivery
• Develop and optimize APIs that enable seamless data access for business intelligence platforms analytics tools and operational systems across the organization
• Lead integration efforts with third-party APIs and external data sources to expand the organizations data ecosystem and support new business capabilities
• Establish and enforce architectural best practices CI/CD pipelines and Infrastructure as Code (IaC) standards in partnership with DevOps teams
• Collaborate with data scientists analysts and software engineers to design reusable scalable data models that meet cross-functional business needs
• Implement data governance frameworks security protocols and compliance standards to ensure data quality privacy and regulatory adherence
• Troubleshoot and resolve data quality issues and pipeline failures applying root cause analysis to improve system reliability and data accuracy
• Mentor team members on AWS innovations modern data engineering practices and emerging technologies including AI-assisted development tools
• Create and maintain comprehensive documentation architecture diagrams and data lineage maps for technical and non-technical stakeholders

What Youll Need to Have:

• 5 years of experience in data architecture data engineering or related technical roles with proven ability to design scalable data solutions
• 3 years of hands-on Python programming experience building production-grade data pipelines and applications
• Strong proficiency with AWS data services including Lambda Glue S3 DynamoDB Athena Redshift and Snowflake
• Solid experience designing and implementing APIs and integrating with API-driven workflows for data access and distribution
• Deep understanding of OLTP systems operational data stores and dimensional modeling techniques for analytics environments
• Proven expertise in serverless architecture patterns performance optimization and AWS best practices for secure cost-effective deployments
• Strong SQL skills with ability to write complex performant queries across diverse data stores and optimize query execution
• Experience working in agile development environments with CI/CD workflows and collaborative team structures
• Bachelors degree in Computer Science Information Systems Analytics or related technical field (or equivalent practical experience)

Pay Range: $55-60/hr

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