About The Position

PNC Bank is seeking a Junior Data Engineer to support the design, development, and maintenance of scalable data pipelines and data platforms that enable analytics, reporting, and regulatory compliance. This role is ideal for early-career professionals eager to build hands-on experience in enterprise data engineering within the financial services domain.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • 1–3 years of experience or strong academic/project experience in data engineering or data analytics.
  • Proficiency in SQL (joins, subqueries, performance tuning basics).
  • Working knowledge of Python for data processing.
  • Basic understanding of ETL concepts, data modeling, and data warehousing.
  • Familiarity with relational databases (Oracle, PostgreSQL, SQL Server, or similar).
  • Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
  • Experience with version control tools such as Git.

Nice To Haves

  • Exposure to Big Data technologies (Spark, Hadoop).
  • Familiarity with cloud data services (AWS S3, Glue, Redshift, Azure Data Factory, Snowflake).
  • Understanding of banking or financial data, including transactions, risk, or regulatory reporting.
  • Knowledge of data quality frameworks and basic data governance concepts.
  • Experience with workflow orchestration tools (Airflow, Control-M).

Responsibilities

  • Assist in building and maintaining ETL/ELT pipelines to ingest, transform, and load data from multiple source systems.
  • Support development of batch and near real-time data processing workflows.
  • Work with structured and semi-structured data using SQL and Python.
  • Participate in data validation, reconciliation, and quality checks to ensure accuracy and completeness.
  • Collaborate with senior data engineers, data analysts, and business stakeholders to understand data requirements.
  • Help manage data storage solutions such as data warehouses and data lakes.
  • Assist with documentation of data models, pipelines, and operational processes.
  • Follow data governance, security, and compliance standards relevant to banking and financial services.
  • Monitor data pipelines and troubleshoot failures under guidance.
  • Support deployment and version control using Git and CI/CD practices.
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