Data Engineer III

About this role

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, designing data architectures, and ensuring reliable, AI-ready data infrastructure across distributed systems. The ideal candidate will bring strong expertise in data engineering, schema modeling, real-time data streaming, and large-scale distributed warehouse environments, along with a proven track record delivering robust data migration and pipeline solutions.


Location
: Remote – United States


Duration
: 6 Months


We provide comprehensive medical benefits, a 401k plan, paid holidays, and more.


Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.


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 de...