Veracity Software Inc

Data Platform Engineer

Veracity Software Inc Jersey City, NJ
Veracity Software Inc

Data Platform Engineer

Veracity Software Inc Jersey City, NJ
3 weeks ago
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Job Title: Data Platform Engineer

Location: Jersey City, NJ

Key Responsibilities:

  • Data Pipeline & Orchestration
  • Design, develop, and maintain complex Airflow DAGs for batch and event-driven data pipelines
  • Implement best practices for DAG performance, dependency management, retries, SLA monitoring, and alerting
  • Optimize Airflow scheduler, executor, and worker configurations for high-concurrency workloads
  • dbt Core & Data Modeling
  • Lead dbt Core implementation, including project structure, environments, and CI/CD integration
  • Design and maintain robust dbt models (staging, intermediate, marts) following analytics engineering best practices
  • Implement dbt tests, documentation, macros, and incremental models to ensure data quality and performance
  • Optimize dbt query performance for large-scale datasets and downstream reporting needs
  • Cloud, Kubernetes & OpenShift
  • Deploy and manage data workloads on Kubernetes / OpenShift platforms
  • Design strategies for workload distribution, horizontal scaling, and resource optimization
  • Configure CPU/memory requests and limits, autoscaling, and pod scheduling for data workloads
  • Troubleshoot container-level performance issues and resource contention
  • Performance & Reliability
  • Monitor and tune end-to-end pipeline performance across Airflow, dbt, and data platforms
  • Identify bottlenecks in query execution, orchestration, and infrastructure
  • Implement observability solutions (logs, metrics, alerts) for proactive issue detection
  • Ensure high availability, fault tolerance, and resiliency of data pipelines
  • Collaboration & Governance
  • Work closely with data architects, platform engineers, and business stakeholders
  • Support financial reporting, accounting, and regulatory data use cases
  • Enforce data engineering standards, security best practices, and governance policies

Required Skills & Qualifications:

Experience

  • 10+ years of professional experience in data engineering, analytics engineering, or platform engineering roles
  • Proven experience designing and supporting enterprise-scale data platforms in production environments
  • Must-Have Technical Skills
  • Expert-level Apache Airflow (DAG design, scheduling, performance tuning)
  • Expert-level DBT Core (data modeling, testing, macros, implementation)
  • Strong proficiency in Python for data engineering and automation
  • Deep understanding of Kubernetes and/or OpenShift in production environments
  • Extensive experience with distributed workload management and performance optimization
  • Strong SQL skills for complex transformations and analytics
  • Cloud & Platform Experience
  • Experience running data platforms on cloud environments
  • Familiarity with containerized deployments, CI/CD pipelines, and Git-based workflows
  • Preferred Qualifications
  • Experience supporting financial services or accounting platforms
  • Exposure to enterprise system migrations (e.g., legacy platform to modern data stack)
  • Experience with data warehouses (Oracle)

  • Seniority level

    Mid-Senior level

  • Employment type

    Full-time

  • Job function

    Other

  • Industries

    IT Services and IT Consulting
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