Master Data Engineer - 3594658

Charlotte, NC, US • Posted 2 days ago • Updated 8 hours ago
Full Time
On-site
USD $75.00 - 80.00 per hour
Fitment

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Job Details

Skills

  • Master Data Management
  • Mobile Device Management
  • Cloud Computing
  • Real-time
  • Streaming
  • Extract
  • Transform
  • Load
  • ELT
  • Modeling
  • Business Intelligence
  • Partnership
  • DevOps
  • Collaboration
  • Data Governance
  • Regulatory Compliance
  • Privacy
  • Data Quality
  • Root Cause Analysis
  • Reliability Engineering
  • Mentorship
  • Emerging Technologies
  • Artificial Intelligence
  • Documentation
  • Data Architecture
  • Data Engineering
  • Python
  • Amazon S3
  • Amazon DynamoDB
  • Amazon Redshift
  • Snow Flake Schema
  • API
  • Distribution
  • OLTP
  • Dimensional Modeling
  • Performance Tuning
  • Amazon Web Services
  • SQL
  • Agile
  • Continuous Integration
  • Continuous Delivery
  • Workflow
  • Computer Science
  • Information Systems
  • Analytics

Summary

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 You'll 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 organization's 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 You'll 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
  • Bachelor's degree in Computer Science, Information Systems, Analytics, or related technical field (or equivalent practical experience)

Pay Range: $75-80/hr

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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: 10114206
  • Position Id: 404b0173fd6e461a3d4e22f85f7408ee
  • Posted 2 days ago
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