Make Your Mark with a Job at Alphanumeric


Job Details

Engineer, Data Framework  Collegeville, PA  Posted: 7/26/2022
Job Description

Job ID#:


Positions Available:


Alphanumeric is hiring a Data Platform Engineer to work remotely in the Collegeville, PA area with one of the largest pharmaceutical companies in the world.

Shift: Standard 1st Shift Monday - Friday
Hybrid: Can be remote but need to be able to come to the UP office when needed (should be very infrequent). Candidates need to be located within a reasonable driving distance from site.

We are looking for a skilled and experienced Data Platform Engineer to join our growing team. Data Platform Engineers take full ownership of delivering high-performing, high-impact data framework products, and services, from a description of a problem customer Data Engineers are trying to solve all the way through to final delivery (and ongoing monitoring and operations). They are standard bearers for software engineering and quality coding practices within the team and are expected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project. They devise useful metrics ensuring their services are meeting customer demand, having an impact, and iterate to deliver and improve on those metrics in an agile fashion.

This position requires that all workers be fully vaccinated against COVID-19 and proof of vaccination will be required. Considerations will be made for those seeking Medical Exemption under ADA or Religious exemption under Title VII

Job Requirements


Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
* Bachelor's degree in Computer Science with a focus in Software Engineering or Data Engineering, etc, plus 8 years job experience
* Demonstrated excellence writing production at least one common programming language Python, Java, or Scala
* Demonstrated experience building reusable software components
* Experience with building complex software and data solutions
* Experience with common distributed data tools in a production setting (Spark, Kafka, Airflow, Presto, etc.)
* Experience with public cloud providers like AWS, Azure and GCP
* Practical experience with agile software development and DevOps-forward ways of working

Preferred Qualifications:

If you have the following characteristics, it would be a plus:
* Experience building and designing a DevOps first way of working
* Experience with specialized data architecture (e.g. data lake, lake house, data fabric, data mesh, optimizing physical layout for access patterns)
* Metrics-first mindset


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