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Sr Full Stack Net Developer Jobs in Pennsylvania

Senior Full-Stack Data EngineerJob Overview We are seeking an experienced Senior Full-Stack Data Engineer with 10-15 years of hands-on experience in data engineering, data architecture, and cloud ...

The Senior Full Stack Software Engineer is responsible for software development, maintenance, monitoring, problem resolution of both front- and back-end systems development solutions with or within

New

Designs, documents, and builds new systems and enhancements across the full stack, including UI/UX, ... Applies prompt engineering techniques to improve the effectiveness of AI-generated outputs

Hybrid 4 days onsite in Pittsburgh, PA Our client seeks a high-impact senior full-stack engineer to drive stability, quality, and delivery in a risk-sensitive environment. You will work hands-on ...

\n \n \n \n \n We are working with a reputable and rapidly expanding global client in South East Ireland to help them secure 4x new Senior Full Stack Developers with strong Angular on the front end. ...

Senior Full stack

Whitehall, PA · On-site

$51.75 - $68.25/hr

Flairstech Corporation is seeking an Intermediate Senior NET C and Angular Engineer to join our ever-growing team. You will collaborate with one of Flairstech's key partners in the Education ...

\n \n \n \n \n Our client has a requirement for an experienced Full\-Stack Developer to be a key part at every stage of the SDLC. \n \n \n \n \n \n \n Experience working in a similar role is required ...

W HAT YOU'LL DO. Full Stack Developers at Chemistry bring ideas to life - from interface to ... Net-based CMS platforms (Umbraco, Kentico, Episerver, Sitecore, etc.). * Collaborate with Project ...

Showing results 21-40

Sr Full Stack Net Developer information

What cities in Pennsylvania are hiring for Sr Full Stack Net Developer jobs?

Cities in Pennsylvania with the most Sr Full Stack Net Developer job openings:

Full Stack Data Engineer

Erie, PA • On-site

K-Tek Resourcing LLC
Recruiting and Staffing Services • 11 - 50 employees

Other

This job post has expired today. Applications are no longer accepted.


Job description

Senior Full-Stack Data EngineerJob Overview

We are seeking an experienced Senior Full-Stack Data Engineer with 10–15 years of hands-on experience in data engineering, data architecture, and cloud-native data platforms. The ideal candidate will have strong expertise in AWS, SQL, Python, PySpark, ETL/ELT, and modern data technologies.

This role will be responsible for designing, developing, optimizing, and supporting next-generation data platforms at scale. The candidate will also provide technical leadership, contribute to architectural decisions, mentor team members, and deliver high-impact data solutions in a fast-paced environment.

Key Responsibilities
  • Design and develop scalable data pipelines, ETL/ELT frameworks, and cloud-based data platforms.
  • Architect and optimize data solutions using AWS services and modern data engineering technologies.
  • Build and maintain high-volume, petabyte-scale data infrastructure in cloud-native environments.
  • Develop robust data processing solutions using Python, PySpark, and SQL.
  • Work with data lake and lakehouse technologies, including Apache Iceberg and AWS Glue Catalog.
  • Develop and optimize data models and transformations using dbt Core.
  • Work with data warehouses and query engines such as Snowflake, Redshift, and Athena.
  • Implement and support data integration solutions using Talend and AWS services.
  • Leverage AWS streaming technologies for near-real-time data processing.
  • Implement appropriate security, access controls, networking, and governance using AWS IAM, VPC, S3, and related services.
  • Use Git and modern development practices for source control, collaboration, and CI/CD.
  • Monitor and troubleshoot data platforms and pipelines using tools such as Splunk.
  • Collaborate with architects, developers, analysts, and business stakeholders to deliver reliable data solutions.
  • Provide technical leadership, code reviews, mentoring, and guidance to other data engineers.
Required Skills & Experience
  • 10–15 years of progressive experience in Data Engineering, Data Architecture, or Full-Stack Data Engineering.
  • Strong understanding of data engineering principles, ETL/ELT patterns, data modeling, metadata management, and data governance.
  • Extensive hands-on experience with AWS, particularly S3, IAM, VPC, Glue, Athena, and related services.
  • Strong programming skills in Python and PySpark.
  • Advanced SQL skills with experience in performance tuning and complex data transformations.
  • Experience with Talend, dbt Core, Apache Iceberg, and AWS Glue Catalog.
  • Hands-on experience with Snowflake, Amazon Redshift, and Amazon Athena.
  • Experience with AWS streaming services and large-scale data processing.
  • Strong understanding of Git, CI/CD, and software engineering best practices.
  • Experience designing and managing large-scale or petabyte-scale data platforms.
  • Strong problem-solving, communication, and technical leadership skills.
Preferred Qualifications
  • Experience in the insurance industry or other data-intensive enterprise environments.
  • Experience with cloud-native data lake/lakehouse architecture.
  • Knowledge of data security, governance, lineage, and metadata management.
  • Experience mentoring engineers and driving technical architecture decisions.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred.