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Fivetran Administrator​/Data Integration Engineer

Job in Lebanon, Hunterdon County, New Jersey, 08833, USA
Listing for: Veriipro
Full Time position
Listed on 2026-07-05
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Fivetran Administrator / Data Integration Engineer
Location: Lebanon

Roles and Responsibilities

  • Configure, deploy, and manage Fivetran connectors across ERP, CRM, SaaS, databases, APIs, and flat files.

  • Monitor connector health, performance, and SLAs; troubleshoot and resolve data sync issues.

  • Onboard new data sources in collaboration with analytics and business teams.

  • Optimize ingestion pipelines for performance, cost efficiency, and scalability.

  • Design and implement self-service ingestion frameworks with governance controls and standardized templates.

  • Ensure secure, compliant data ingestion with RBAC, encryption, and audit trails.

  • Support downstream data transformations and collaborate on data quality monitoring.

Required Qualifications
  • 5–7 years of experience with enterprise data platforms and data integration tools.

  • Hands‑on experience administering Fivetran in production environments.

  • Strong experience with cloud data platforms:
    Databricks, Amazon Redshift.

  • Expertise integrating SaaS systems (Salesforce, Workday, SAP, Net Suite, etc.).

  • Strong SQL skills and solid understanding of data warehousing concepts.

  • Experience with cloud platforms (AWS, Azure, GCP).

  • Knowledge of data governance, access control, and compliance frameworks.

  • Experience managing service requests and ingestion SLAs.

Preferred Qualifications
  • Experience with dbt, Airflow, or other orchestration tools.

  • Familiarity with data quality tools and observability platforms.

  • Experience building reusable ingestion frameworks or onboarding accelerators.

  • Understanding of Dev Ops/CI-CD practices for data pipelines.

  • Exposure to supporting AI/ML or advanced analytics initiatives.

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