Senior Data Engineer

AECOMHouston, TX
$140,000 - $175,000Hybrid

About The Position

As a Senior Data Engineer, you will build the data foundation that powers the Oscar platform. This role is focused on scalable ingestion and cross-cloud integration, enabling expansion of the platform’s knowledge base and downstream AI capabilities. This position will offer flexibility for hybrid work schedules to include both in-office presence and telecommute/virtual work, to be based from either Houston or Dallas, TX.

Requirements

  • Bachelor's Degree plus at least 8 years of data engineering experience, or demonstrated equivalency of experience and/or education
  • Strong experience with ETL/ELT pipelines and large-scale data systems
  • Hands-on experience with Azure and AWS data services
  • Microsoft Azure hands-on: Azure Data Factory (ADF), Azure Synapse Analytics, Azure SQL Database, Azure AI Services
  • Hand-on building data replication and synchronization between AWS and Azure using ADF and Synapse or Azure SQL
  • Proven experience with API-based and event-driven data integration patterns
  • Familiarity with Data Lake architecture (AWS S3 with Lake Formation governance)
  • Proficiency in Python, SQL, and data processing frameworks
  • Experience building a reliable, production-grade data pipeline

Nice To Haves

  • Experience with cross-cloud architectures and integrations
  • Exposure to AI/ML data pipelines or feature stores
  • Familiarity with attribute-Based Access Control (ABAC) using AWS Lake Formation tags
  • Amazon Web Services (AWS): S3 Data Lake, Lake Formation (Tag-Based ABAC), IAM, Glue, Lambda
  • Monitoring & logging (Azure Monitor, AWS CloudWatch)

Responsibilities

  • Design and build scalable, production-grade data ingestion pipelines
  • Enable and optimize data integration across Azure and AWS environments
  • Own data modeling and transformation to support AI and analytics use cases
  • Ensure data quality, reliability, and observability across pipelines
  • Partner with platform and AI teams to support evolving data needs
  • Drive best practices for performance, cost, and scalability

Benefits

  • medical
  • dental
  • vision
  • life
  • AD&D
  • disability benefits
  • paid time off
  • leaves of absences
  • voluntary benefits
  • perks
  • flexible work options
  • well-being resources
  • employee assistance program
  • business travel insurance
  • service recognition awards
  • retirement savings plan
  • employee stock purchase plan
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