Project - Data Engineer

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced **Data Engineer \- Project Delivery Analyst** you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long\-term, onsite client service delivery. Recruiting for this role ends on June 30th , 2026\. **Work you'll do/Responsibilities** You will support a Data \& Analytics Foundry across numerous business product teams (scaled program with \~235 onshore/offshore resources), building reliable pipelines and curated datasets for analytics and downstream consumption. * Build and enhance data pipelines on AWS using Python to ingest, transform, and deliver data to Snowflake and downstream consumers. * Develop and maintain Snowflake objects (schemas, tables, views) and performant SQL transformations to produce curated, analytics\-ready datasets. * Implement workflow automation and scheduling (e.g., Airflow/MWAA, Step Functions, Glue) with proper dependencies, retries, and logging. * Apply data quality checks and basic observability (validation rules, reconciliation, alerts) and support incident triage and remediation. * Optimize pipeline and query performance with guidance (efficient Python, partitioning/file formats in S3, Snowflake warehouse usage and query tuning). * Follow CI/CD and IaC standards (e.g., Git\-based workflows, Terraform/CloudFormation changes) to promote code across environments. * Collaborate with analysts, product owners, and source\-system teams to clarify requirements and validate outputs; participate in sprint ceremonies and estimations. * Contribute to code reviews (give/receive), unit tests, and peer debugging; learn and apply team engineering standards. * Communicate