PJM Interconnection, LLC

Data Engineer I (II)

Audubon, PA

full time

On-site

Oil and Gas

About This Job

Flexible Work Arrangement: Hybrid

The Data Engineer is responsible for designing and implementing methods to improve data: reliability, security and quality across the enterprise. They combine raw information from different sources to create consistent and machine-readable formats. They also develop, test and build algorithms, architectures and infrastructure that enable data extraction and transformation for various modeling needs; for example predictive or prescriptive modeling.

Essential Functions:

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Analyze and organize raw data, cataloging fields and entities

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Building data architectures and data pipelines to collectively bring together data

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Analyzing, planning, and defining data architecture framework(s), including security, reference data, metadata, and master data

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Participation in analyzing business needs and objectives with analysts, data Architects and engineers, developers, report writers and report consumers

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Inform and support the organizations data strategy

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Conduct data analysis and collaboration with analysts, developers and business users

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Build algorithms and prototypes to support data integration and other data related functions

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Identify opportunities for data acquisition and determine data update velocity

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Collaborating with other teams within the organization to devise and implement data strategies, build models, and assess business partners needs and goals

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Work with Data Architects in developing and supporting patterns that data engineers, developers and others can follow

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Support and inform data governance practices

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Create and implement data management processes and procedure

Characteristics & Qualifications:

Required:

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Bachelor's Degree in Computer Science or Information Systems, or 0-5 years of experience in a Data Engineer role

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0-5 years of experience with SQL

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Ability to produce high-quality work products with attention to detail

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Ability to visualize and solve complex problems

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Ability to apply analytical and mathematical solutions

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Strong knowledge of SQL Knowledge of algorithms, data structures, complexity analysis and software design

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Knowledge of managing application configurations Knowledge of Unix, AIX, Debian, Windows operating systems, containers, container orchestrators

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Knowledge of git based code repositories

Preferred:

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Master's Degree in Computer Science

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0-5 years of experience with programming e.g. SAS, Python, PySpark

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0-5 years of experience with Alteryx or Qlik Replicate

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0-5 years of experience with data pipeline and data workflow management tools

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0-5 years of experience in Big Data technologies (e.g. Spark, Databricks)

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0-5 years of experience building and optimizing 'big data' data pipelines, architectures, and data sets

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0-5 years of experience with NoSQL

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0-5 years of experience in Azure data engineering and cloud data processing services

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Experience with PJM operations, markets, and planning functions

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Experience with Alteryx, SSIS or Qlik Replicate

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Experience with one or more of the following: Java, Python or C#

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Experience with visualization and reporting tools such as Tableau, Qlik etc.

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Experience in end to end delivery and lifecycle of analytical business solutions

Data Engineer I (II)

About This Job

Characteristics & Qualifications:

Required:

Preferred:

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