Government Representative 1 Senior Data Platform Engineer #464-26

About this role

• Company New Jersey Department of Children and Families Role Full-time Location Trenton, NJ Copy Link Share Share Tweet Back-end Engineering Operations New Jersey Department of Children and Families is Hiring a Government Representative 1 Senior Data Platform Engineer #464-26 Job Title: Government Representative 1 Senior Data Platform Engineer (464-26) SALARY: $120,000 - $150,000 The Senior Data Platform Engineer reports to the Assistant Director in the Data Platform Unit of the Office of Data Management and Reporting.
• The Senior Data Platform Engineer designs, builds, and operates cloud native data pipelines, storage, compute, and serving layers.
• Applies expertise in distributed processing, orchestration, and cloud engineering to deliver scalable, high quality data products and services.
• This role is hands-on, code oriented, and production focused, capable of deep-diving into performance, reliability, and cost optimization while ensuring consistency, security, and data integrity across the platform.
• Responsibilities include: Data Engineering Design, develop, and optimize data pipelines that extract, process, and deliver data from diverse structured and unstructured sources.
• Apply distributed computing frameworks (e.g., Spark) for large-scale transformation and processing operations, ensuring performance, reliability, and scalability.
• Build and maintain batch, streaming, API, and CDC ingestion patterns.
• Integrate data from databases, data warehouses, APIs, and external systems while ensuring data consistency and integrity.
• Apply data cleansing, enrichment, aggregation, and filtering techniques as part of transformation workflows.
• Tune and optimize data pipelines by identifying performance bottlenecks and applying techniques such as efficient partitioning, indexing, and caching.
• Cloud Platform Engineering & Infrastructure Automation Contribute to the strategic direction for implementation of Infrastructure as Code (Terraform/Bicep/CloudFormation) to provision, manage, and secure cloud resources.
• Build robust CI/CD pipelines to automate deployment of data pipelines, models, and transformations.
• Recommend cloud security best practices including RBAC/ABAC, key management, secrets management, encryption, network controls, and data access patterns.
• Monitor and tune cloud resource utilization for both cost efficiency and performance.
• Observability, Reliability & Production Operations Implement platform observability using logs, metrics, traces, dashboards, and end to end lineage.
• Configure runtime orchestration and workflow management (Airflow, ADF, Databricks Jobs, Step Functions, etc.).
• Provide on call support for production systems; lead incident response, triage, and root-cause analysis.
• Establish and maintain SLOs for latency, data freshness, reliability, and resource efficiency.
• Data Quality, Lineage & Governance Integration Implement automated data validation, quality checks, and integrity rules within pipelines.
• Ensure lineage is captured and integrated with enterprise metadata/catalog platforms.

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