Data Engineer I (II)

PJM Interconnection

4.8

Audubon, PA

Ranked as one of the Best Consulting Companies for Women in 2023

4.8/5 in overall job satisfaction

4.8/5 in supportive management

91% say women are treated fairly and equally to men

91% would recommend this company to other women

96% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members.

PJM employees have shown they can adapt to new work environments, PJM offers flexibility in remote, hybrid and on-site work.

We provide four weeks (160 hours) of paid paternity leave.

PJM has two Employee Resource Groups that support women at the company.

#REQ-2025-4047

a Architects and engineers, developers, report writers and report consumers

Inform and support the organizations data strategy
Conduct data analysis and collaboration with analysts, developers and business users
Build algorithms and prototypes to support data integration and other data related functions
Identify opportunities for data acquisition and determine data update velocity
Collaborating with other teams within the organization to devise and implement data strategies, build models, and assess business partners needs and goals
Work with Data Architects in developing and supporting patterns that data engineers, developers and others can follow
Support and inform data governance practices
Create and implement data management processes and procedure

Characteristics & Qualifications:

Required:

Bachelor's Degree in Computer Science or Information Systems, or 0-5 years of experience in a Data Engineer role
0-5 years of experience with SQL
Ability to produce high-quality work products with attention to detail
Ability to visualize and solve complex problems
Ability to apply analytical and mathematical solutions
Strong knowledge of SQL Knowledge of algorithms, data structures, complexity analysis and software design
Knowledge of managing application configurations Knowledge of Unix, AIX, Debian, Windows operating systems, containers, container orchestrators
Knowledge of git based code repositories

Preferred:

Master's Degree in Computer Science
0-5 years of experience with programming e.g. SAS, Python, PySpark
0-5 years of experience with Alteryx or Qlik Replicate
0-5 years of experience with data pipeline and data workflow management tools
0-5 years of experience in Big Data technologies (e.g. Spark, Databricks)
0-5 years of experience building and optimizing 'big data' data pipelines, architectures, and data sets
0-5 years of experience with NoSQL
0-5 years of experience in Azure data engineering and cloud data processing services
Experience with PJM operations, markets, and planning functions
Experience with Alteryx, SSIS or Qlik Replicate
Experience with one or more of the following: Java, Python or C#
Experience with visualization and reporting tools such as Tableau, Qlik etc.
Experience in end to end delivery and lifecycle of analytical business solutions