

Kastech Software Solutions Group
Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Jersey City, NJ, lasting long-term, with a pay rate of "TBD." Requires 8+ years of experience in Apache Airflow, dbt Core, Kubernetes, and Python, focusing on scalable data pipelines for financial platforms.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
April 7, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Jersey City, NJ
-
π§ - Skills detailed
#Kubernetes #Scala #Data Modeling #Cloud #dbt (data build tool) #Python #Data Engineering #Apache Airflow #Data Pipeline #Airflow
Role description
π Hiring: Data Platform Engineer (Senior Data Engineer)
π Location: Jersey City, NJ (Onsite 3 days/week β 185 Hudson St #1150) β No relocation
β³ Duration: Long-Term
Weβre looking for a Senior Data Engineer (8+ years experience) with strong expertise in:
β Apache Airflow & DAG development
β dbt Core (data modeling & implementation)
β Kubernetes / OpenShift
β Python
β Strong communication skills
This role focuses on building and optimizing scalable data pipelines for enterprise financial platforms, handling high-volume workloads in a cloud-native environment.
π§© Interview Process:
β’ 2 Rounds (1 Virtual + 1 In-Person)
π Interested candidates or referrals, please reach out or share your profile!
π Hiring: Data Platform Engineer (Senior Data Engineer)
π Location: Jersey City, NJ (Onsite 3 days/week β 185 Hudson St #1150) β No relocation
β³ Duration: Long-Term
Weβre looking for a Senior Data Engineer (8+ years experience) with strong expertise in:
β Apache Airflow & DAG development
β dbt Core (data modeling & implementation)
β Kubernetes / OpenShift
β Python
β Strong communication skills
This role focuses on building and optimizing scalable data pipelines for enterprise financial platforms, handling high-volume workloads in a cloud-native environment.
π§© Interview Process:
β’ 2 Rounds (1 Virtual + 1 In-Person)
π Interested candidates or referrals, please reach out or share your profile!






