Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Apply Offsite

Intone Networks, Inc

Senior Data Engineer

Pay: Not specified

Posted: 7 weeks ago

Location: Malvern, PA (Onsite)

Last Updated: 1 week ago

Hours: Full-Time

Expires: 9/22/2026

Career Insights for Data Engineer

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on Pennsylvania data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.

$113,315 / year median in Pennsylvania

+12% projected growth

Explore Career

Job Description

REQ-00051648Senior Data EngineerMalvern}Contract

Duration:

06+ Months Key Responsibilities

Design & Development:

Lead the design and development of custom AWS utilities that allow analysts to query disparate data sources (S3 and Redshift) with minimal effort and high productivity.

Pipeline Engineering:

Build and maintain scalable data pipelines using AWS Glue, PySpark, and Spark SQL to ingest and transform data across platforms.

Resiliency & Scalability:

an "enterprise-grade" development mindset. Build solutions that are resilient, scalable, and capable of quick automated recovery in the event of failure.

Utility Creation:

Create tools to streamline the user experience for analysts, such as building automated processes to convert SQL outputs for multi-source tables.

Infrastructure Ops:

Utilize CloudFormation to manage and deploy infrastructure components. Required Technical Skills

AWS Core:

Deep proficiency in AWS Glue, S3, Lambda, IAM, and Step Functions.

Data Engineering:

Expert-level knowledge of PySpark and Spark SQL.

Querying & SQL:

Extensive experience with Athena and Presto; strong SQL skills for complex data manipulation. Infrastructure as

Code:

Proven experience with CloudFormation for operational excellence.

Development Mindset:

Ability to write clean, maintainable code for automation and custom utility development.

Dremio:

Experience with Dremio implementation (reflections, views, using system tables). Required Qualifications 6-8+ years of Data Engineering or IT experience. 4+ years of AWS cloud development experience. Expert Python programming skills. Advanced SQL development experience. Strong hands-on experience with Apache Spark / PySpark. Experience building cloud-native ETL pipelines. Strong understanding of distributed computing. Experience designing scalable data models. Experience with Git and CI/CD pipelines. Strong analytical and problem-solving skills. Build scalable and auto recoverable pipelines. Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline. Nice to Have

Tableau:

Familiarity with Tableau for end-user data consumption. Less Posted on: 07-17-2026 Posted by: Anand Srivastava