Senior Data Platform Engineer – Telework Eligible

NaSPA, Inc.; Trenton (NJ); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Alternative Workweek Program

Deferred Compensation

Health, Dental and Life Insurance

Flexible Spending Accounts

Pension

Telework

Public Service Loan Forgiveness

Benefit Leave (Vacation, Sick, Admin.)

Job summary

NaSPA, Inc. in New Jersey is seeking a Senior Data Platform Engineer to design, build, and operate cloud-native data pipelines, storage, compute, and serving layers. You will be hands-on, production-focused, ensuring data integrity, security, and cost optimization across the platform.

The role emphasizes data engineering, cloud infrastructure automation, observability, and governance, with 5–8+ years of cloud data experience and strong Python/SQL/Spark skills, plus hands-on AWS/Azure experience.

Qualifications

• 5-8+ years in cloud data engineering roles.
• Strong hands-on proficiency in Python, SQL, Spark, orchestration frameworks, and CI/CD.
• Experience integrating and validating data from multiple storage systems, APIs, and external systems.
• Experience with data quality, data validation, and lineage tooling.
• Hands-on experience with Azure or AWS data services (e.g., ADLS/S3, ADF/Glue, Databricks/EMR).

Responsibilities

• Design, develop, and optimize data pipelines that extract, process, and deliver data from diverse sources.
• Apply distributed computing frameworks (e.g., Spark) for large-scale transformations.
• Build and maintain batch, streaming, API, and CDC ingestion patterns.
• Mentor junior engineers and contribute to engineering best practices.
• Implement Infrastructure-as-Code and CI/CD pipelines for data platforms.
• Establish and monitor SLOs for latency and data accuracy.

Skills

Python

SQL

Spark

orchestration

CI/CD

Tools

Azure services

S3/ADLS

ADF/Glue

Databricks/EMR

Job description

NaSPA, Inc. in New Jersey is seeking a Senior Data Platform Engineer to design, build, and operate cloud-native data pipelines, storage, compute, and serving layers. You will be hands-on, production-focused, ensuring data integrity, security, and cost optimization across the platform.

The role emphasizes data engineering, cloud infrastructure automation, observability, and governance, with 5–8+ years of cloud data experience and strong Python/SQL/Spark skills, plus hands-on AWS/Azure experience.