Data Engineer – Scalable Pipelines & Analytics (Hybrid, NY)

Willsfly Technologies Inc

New York (NY)

Hybrid

USD 115,000 - 145,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Performance bonus
Learning budget
Certification support

Job summary

Willsfly Technologies Inc in New York, NY is seeking a Data Engineer to advance enterprise-scale data initiatives. You will build and optimize data pipelines, ensure data quality, and collaborate with analytics and engineering teams to support product decisions.

The role requires 5–7 years in data engineering, ETL, or analytics delivery, a Bachelor's in a related field, and experience with Spark and Snowflake. Hybrid work and a generous benefits package are offered.

Qualifications

  • 5+ years of experience in data engineering, ETL systems, or analytics platform delivery.
  • Strong knowledge of scalable data movement, transformation logic, and engineering discipline.
  • Experience with structured enterprise data systems and production‑aware delivery models.
  • Ability to work inside cross‑functional enterprise teams.

Responsibilities

  • Build and optimize data pipelines that support enterprise product, platform, and analytics environments.
  • Support reliable movement of enterprise data with quality, observability, and governance awareness.
  • Collaborate with engineering and analytics teams to improve data readiness for products and decisions.
  • Contribute to scalable data platform execution with secure integration logic and maintainability.
  • Help improve platform maturity across ingestion, transformation, and operational reporting layers.

Skills

Spark
Snowflake
ETL pipelines
Data quality
Secure APIs

Education

Bachelor’s degree in Computer Science, Data Engineering, Analytics, or related discipline

Job description

Willsfly Technologies Inc in New York, NY is seeking a Data Engineer to advance enterprise-scale data initiatives. You will build and optimize data pipelines, ensure data quality, and collaborate with analytics and engineering teams to support product decisions.

The role requires 5–7 years in data engineering, ETL, or analytics delivery, a Bachelor's in a related field, and experience with Spark and Snowflake. Hybrid work and a generous benefits package are offered.

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