Software Engineer Lead - Data Product Organization (Cloudera Hadoop, Neo4j, Spark/PySpark)

PNC

Quick summary

Work type: On-site
Location: Two Pnc PlazaStrongsville, OHDenver, COPhoenix, AZBirmingham, AL
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

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Similar $177k

$132k most similar roles pay here $235k

This listing doesn't post a salary. Most similar roles pay $142,300–$211,200.

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About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 175 open roles on FindRole.

Listed pay typically runs $86,250–$185,150 across 59 roles with salary data.

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At a glance

TL;DR · Software Engineer Lead - Data Product Organization (Cloudera Hadoop, Neo4j, Spark/PySpark)

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This senior Data Engineer role at PNC involves developing and maintaining a complex Treasury Management payment network hosted on Hadoop and Neo4j. The candidate will work independently to meet intricate data requirements while collaborating closely with Data Scientists, Architects, and other technical teams. Key responsibilities include leveraging Cloudera Hadoop, Hive, Impala, Beeline, and Neo4j for data processing and analysis, as well as utilizing Spark/PySpark and Iceberg for efficient data management. The ideal candidate possesses strong Linux skills and experience with Apache Kafka and application development, contributing to process improvements and release management within a large-scale financial services environment.

Skills

Cloudera Hadoop Hive HQL Impala Beeline HDFS Neo4j Spark PySpark Iceberg Linux Apache Kafka Terraform CI/CD

What you'll do

Develop and maintain a complex Treasury Management payment network using Hadoop and Neo4j.
Independently handle complex data requirements for the Treasury Management system.
Lead experience as a Data Engineer, guiding team members effectively.
Proven expertise in Cloudera Hadoop tools including Hive, Impala, Beeline, and HDFS.
Strong communication skills to collaborate with technical resources like Data Scientists.
Experience working with streaming technologies such as Apache Kafka and Iceberg.

What we're looking for

Proven experience in Cloudera Hadoop and related tools (HDFS, Hive, Impala)
Expertise in Neo4j graph database and streaming technologies like Iceberg
Strong background as a Data Engineer with leadership capabilities
Experience working independently on complex data requirements and projects
Proficiency in Spark/PySpark and Linux operating systems

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