Data Engineer III

itD is seeking a Data Engineer to support a high-impact enterprise data migration initiative focused on transitioning business-critical operations from Salesforce to an internal entity-modeled data platform. This role will contribute directly to the success of Meta’s Developer Ecosystem Success organization by building scalable ETL pipelines and ensuring reliable, AI-ready data infrastructure across distributed systems.

Responsibilities:

• Design and build bidirectional ETL/ELT data pipelines between Salesforce, distributed data warehouses, and internal operational data platforms
• Develop and maintain streaming data pipelines using Kafka, Kinesis, Pulsar, or equivalent distributed event-streaming systems
• Design and manage dimensional and entity-modeled schemas, including access permissions and mutation rules
• Build data validation, reconciliation, and monitoring frameworks to ensure data quality, consistency, and auditability throughout migration activities
• Develop and maintain schema documentation, transformation logic, data dictionaries, and source-to-target mapping documentation
• Collaborate with software engineers, Salesforce administrators, and business stakeholders to define data contracts, SLAs, and migration requirements
• Investigate and resolve data quality issues, pipeline failures, and reconciliation discrepancies across batch and streaming workloads
• Utilize AI-assisted development tools such as GitHub Copilot, Cursor, and Claude Code to accelerate development workflows and schema migrations
• Support data restructuring and transformation initiatives to prepare datasets for downstream AI and analytics applications
• Attend regular internal practice community meetings
• Collaborate with your itD practice team on industry thought leadership
• Complete client case studies and learning material (blogs, media material)
• Build out material to contribute to the Digital Transformation practice
• Attend internal itD networking events (in person and virtual)
• Work with leadership on career fast-track opportunities

Requirements:

• 5+ years of professional data engineering experience
• Strong proficiency in SQL and relational databases such as MySQL
• Experience with Hack/PHP development and GraphQL
• Hands-on experience building and maintaining large-scale ETL/ELT pipelines in distributed data warehouse environments such as Hive, Spark, Presto/Trino, BigQuery, Snowflake, or Databricks
• Experience with real-time event-streaming systems including Kafka, Pulsar, Kinesis, or equivalent technologies
• Experience with ORM frameworks and entity/schema modeling
• Strong understanding of data quality engineering, validation, reconciliation, and monitoring frameworks
• Experience using AI-assisted coding tools such as GitHub Copilot, Claude Code, or Cursor within development workflows
• Strong troubleshooting, problem-solving, and communication skills with the ability to work independently
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field required
• Experience with Salesforce data migrations and integrations
• Familiarity with AI-ready data architecture and AI development workflows
• Experience supporting event and subscription handling systems
• Prior experience working within large-scale technology or distributed systems environments
• Experience collaborating with cross-functional engineering and business operations teams