Lead Data Engineer - Hybrid, Databricks/Azure Tech Lead

Healing Strides Counseling

Short Hills (NJ)

Híbrido

USD 103.000 - 117.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Medical, dental, and vision plans
401(k)
Referral bonuses
Commuter savings
Mobile payroll app access

Descripción de la vacante

Healing Strides Counseling in Short Hills, NJ, seeks a hands-on Lead Data Engineer to guide a team, own data delivery, and architect enterprise-scale data solutions. Hybrid work with 2 days on-site; contract-to-hire arrangement.

The role emphasizes PySpark, SQL, Databricks, Azure, data lakes, ETL/ELT, CI/CD, and production pipelines. Expect live coding interviews and a strong leadership component to mentor engineers and shape technical direction.

Formación

  • Strong hands-on experience with Python, PySpark, SQL and Databricks.
  • Strong experience with Azure/cloud data platforms.
  • Proven technical/team leadership experience.
  • Experience designing and implementing enterprise-scale data solutions.
  • Strong understanding of Data Lakes, ETL/ELT, data modeling and performance tuning.
  • Experience with CI/CD and production data pipelines.
  • Ability to mentor engineers, conduct code reviews and provide technical direction.
  • Experience with streaming technologies such as Kafka/Kinesis is a plus.
  • Experience in regulated/enterprise environments is preferred.
  • 5-8 years of Data Engineering/Data Integration experience.

Conocimientos

Python
PySpark
SQL
Databricks
Azure
Leadership
CI/CD
Data pipelines
Streaming (Kafka/Kinesis)
Data modeling

Herramientas

Databricks
Azure
Kafka/Kinesis

Descripción del empleo

Healing Strides Counseling in Short Hills, NJ, seeks a hands-on Lead Data Engineer to guide a team, own data delivery, and architect enterprise-scale data solutions. Hybrid work with 2 days on-site; contract-to-hire arrangement.

The role emphasizes PySpark, SQL, Databricks, Azure, data lakes, ETL/ELT, CI/CD, and production pipelines. Expect live coding interviews and a strong leadership component to mentor engineers and shape technical direction.

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