Hybrid NYC Senior Data Engineer: Pipelines, Python & SQL

Khealthcareers; New York (NY); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Hybrid work schedule

18 vacation days

Stock options

Paid parental leave

401(k) benefit

Commuter benefits

Competitive health insurance

Job summary

Khealthcareers is seeking an experienced Data Engineer to design and optimize data services and pipelines. The role is pivotal in ensuring data quality across the organization. Responsibilities include managing large-scale data systems and collaborating with cross-functional teams. Ideal candidates possess 5+ years of relevant experience, strong SQL and Python skills, and a passion for data quality.

Benefits include a hybrid work schedule, stock options, and competitive health insurance. Compensation ranges from $150,000 to $200,000 USD.

Qualifications

• 5+ years of experience as a Data Engineer / Backend Engineer.
• Proven ability to build services and data pipelines using Python.
• Deep experience in crafting complex SQL queries.

Responsibilities

• Design, develop, and optimize data services and solutions.
• Implement data quality standards and best practices.
• Manage large-scale data storage and processing systems.

Skills

SQL expertise

Python proficiency

Data modeling

Data processing

Tools

AWS

Azure

GCP

Airflow

Kubernetes

Job description

Khealthcareers is seeking an experienced Data Engineer to design and optimize data services and pipelines. The role is pivotal in ensuring data quality across the organization. Responsibilities include managing large-scale data systems and collaborating with cross-functional teams. Ideal candidates possess 5+ years of relevant experience, strong SQL and Python skills, and a passion for data quality.

Benefits include a hybrid work schedule, stock options, and competitive health insurance. Compensation ranges from $150,000 to $200,000 USD.