Data Engineer Associate - Asset Management Group (PySpark, Hadoop, SQL)

PNC•Strongsville, OH

21h•Onsite

About The Position

As a Data Engineer Associate within PNC's Asset Management Group (AMG) organization, you will be based in Pittsburgh, PA; Cleveland, OH; Dallas, TX; or Birmingham, AL. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Requirements

Hands on experience with PySpark and Hadoop ecosystems, including developing and maintaining data pipelines using Spark, Hive, and HDFS.
Strong SQL skills with the ability to understand business logic, write optimized queries, and work with large analytical datasets in Hive/Impala.
Experience building and supporting data ingestion and transformation pipelines, including source to target mappings, data validation, and quality checks.
Familiarity with agile delivery models, collaborating within cross functional teams (developers, analysts, QA, product owners) and participating in sprint based development and releases.
Working knowledge of data governance and tooling, such as metadata management (e.g., Alation), documentation standards, and controlled promotion of data to production environments.
University / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Nice To Haves

Analytical Thinking
Competitive Advantages
Data Analytics
Data Mining
Data Science
Machine Learning (ML)
Understanding Data Competencies
Application Delivery Process
Big Data Management and Analytics
Business Intelligence
Data Analysis - Software
Data Architecture
Database Structures
Effective Communications
Problem Solving
Software Development Life Cycle

Responsibilities

Assists in developing, supporting and implementing data solutions for multiple applications in order to meet business objectives and user requirements.
Leverages technical knowledge and industry experience to design, build and maintain technology solutions.
Performs data requirement analysis and the data preparation process development for targeted data solutions.
Assists in designing and building data service infrastructure on multiple data platforms, according the workflow.
Participates the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability.
Consults on data migration and transformation to ensure the accuracy and security of data solutions.

Benefits

medical/prescription drug coverage (with a Health Savings Account feature)
dental and vision options
employee and spouse/child life insurance
short and long-term disability protection
401(k) with PNC match
pension and stock purchase plans
dependent care reimbursement account
back-up child/elder care
adoption, surrogacy, and doula reimbursement
educational assistance, including select programs fully paid
a robust wellness program with financial incentives
maternity and/or parental leave
up to 11 paid holidays each year
9 occasional absence days each year, unless otherwise required by law
between 15 to 25 vacation days each year, depending on career level; and years of service