Senior Data Engineer - Hybrid (Finance, Python, Kubernetes)

Softova Inc; Jersey City (NJ); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Softova Inc is seeking a Senior Data Engineer to design, build and optimize large-scale data pipelines in a hybrid Jersey City environment. The contract is 12+ months, with in-person interviews and W2 employment only.

The ideal candidate has 10+ years of data engineering experience, strong Python skills, and hands-on work with Airflow/DBT and Kubernetes in finance. You will collaborate with data science and analytics teams to deliver reliable data platforms and support real-time insights.

Qualifications

• Minimum 10 years of data engineering experience.
• Strong Python skills for data pipelines and tooling.
• Experience with Airflow/DBT and Kubernetes in finance.

Skills

Python

Airflow/DBT

Kubernetes

Financial exp.

Tools

Airflow/DBT

Kubernetes

Job description

Softova Inc is seeking a Senior Data Engineer to design, build and optimize large-scale data pipelines in a hybrid Jersey City environment. The contract is 12+ months, with in-person interviews and W2 employment only.

The ideal candidate has 10+ years of data engineering experience, strong Python skills, and hands-on work with Airflow/DBT and Kubernetes in finance. You will collaborate with data science and analytics teams to deliver reliable data platforms and support real-time insights.