Careers

Lead Data Engineer

Location: Houston, TX- On-site (local candidates only)

Rate: $70 C2C

Job Description:

We are seeking a Lead Data Engineer with deep AWS expertise to guide the design, development, and optimization of our enterprise-scale data pipelines and products. In this role, you will not only contribute technically but also provide leadership to a team of data engineers, partner closely with data architects, and play a key role in planning, estimating, and resourcing major data initiatives. You’ll work on high-impact projects that integrate and transform large volumes of data from multiple enterprise systems into reliable, accessible, and high-quality data products that power analytics, reporting, and decision-making across the organization. 

Key Responsibilities:

• Lead the end-to-end design, development, and optimization of scalable data pipelines and products on AWS, leveraging services such as S3, Glue, Redshift, Athena, EMR, and Lambda.
• Provide day-to-day technical leadership and mentorship to a team of data engineers—setting coding standards, reviewing pull requests, and fostering a culture of engineering excellence.
• Partner with data architects to define target data models, integration patterns, and platform roadmaps that align with AECOM’s enterprise data strategy.
• Own project planning, estimation, resourcing, and sprint management for major data initiatives, ensuring on-time, on-budget delivery.
• Implement robust ELT/ETL frameworks, including orchestration (e.g., Airflow or AWS Step Functions), automated testing, and CI/CD pipelines to enable rapid, reliable deployments.
• Champion data quality, governance, and security; establish monitoring, alerting, and incident-response processes that keep data products highly available and trustworthy.
• Optimize performance and cost across storage, compute, and network layers; conduct periodic architecture reviews and tuning exercises.
• Collaborate with analytics, reporting, and business teams to translate requirements into reliable, production-ready data assets that power decision-making at scale.
• Stay current with the AWS ecosystem and industry best practices, continuously evaluating new services and technologies to enhance Customer’s data platform.
• Provide clear, concise communication to stakeholders at all levels, articulating trade-offs, risks, and recommendations in business-friendly language.