Senior Data Engineer

Harrisburg, PA - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

***This job req is subject to overtime discounts (0.95x exempt; 1.35x non-exempt) and a 10******** discount after six months of service***

**** THE CANDIDATE S NAME AND CITY & STATE OF RESIDENCE MUST BE AT THE TOP OF EACH RESUME

**** SUPPLIER LOGO BILL RATES PERSONAL EMAIL AND PHONE NUMBERS ARE NOT PERMITTED ON RESUMES ****

PLEASE SUBMIT IN WORD FORMAT IF POSSIBLE

THERE ARE 3 RESOURCES NEEDED FOR THIS ROLE

** START DATES: 2 RESOURCES WILL START ON 1/6/26 AND 1 RESOURCE WILL START ON 3/15/26

** Wage and bill rates max exceed set rates for highly qualified candidates

Work location: Remote

Work hours: Standard EST work hours / East coast US time zone is desired for US resources because many of the Development resources are in central Europe or India. We will need overlap at the beginning of the day with those teams.

On Call: No

Must work EST time zone hours

Extension: Yes

Contract to Hire: Yes

Travel: No

US CITIZENSHIP REQUIRED: No

Job Description:

What success looks like in this role:

Design develop and maintain robust scalable data-driven applications combining data processing transformation and business logic.
Enforce best practices across software and data layers through strong architecture and design principles.
Collaborate with developers architects and stakeholders to align application design with data strategies and business requirements.
Build test and maintain reliable data pipelines integrated with application components.
Support deployment monitoring and operational stability of data-centric applications in cloud or managed platform environments.
Stay up-to-date with emerging technologies tools and best practices in both application development and data engineering.

You will be successful in this role if you have:

At least 5 years of professional experience in software development or data engineering projects
Proven ability to contribute to architecture and design discussions encompassing application and data platform interactions.
Proficiency in programming languages commonly used in data processing and application development including Python Scala SQL C#.
Deep understanding of data engineering principles and broader software architecture practices including microservices APIs and integration patterns.
Experience with both SQL and NoSQL databases ensuring efficient data modeling storage and transformation.
Familiarity with cloud platforms (e.g. Azure AWS Google Cloud) and deploying scalable applications in these environments.
Knowledge of containerization (e.g. Docker) and infrastructure-as-code practices is a plus.
Experience with Databricks is a plus.
Strong problem-solving communication and leadership skills with the ability to mentor team members and drive technical decisions.
Ability to work independently and collaboratively in an agile fast-paced high-impact environment.
Strong written and verbal communication skills in English

***This job req is subject to overtime discounts (0.95x exempt; 1.35x non-exempt) and a 10******** discount after six months of service*** **** THE CANDIDATE S NAME AND CITY & STATE OF RESIDENCE MUST BE AT THE TOP OF EACH RESUME **** SUPPLIER LOGO BILL RATES PERSONAL EMAIL AND PHONE NUMBERS ...