Senior Data Engineer

Prudential Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Newark, NJ
Salary
$104,000–$171,600 / yr
Posted
35 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k
This role $138k
$91k most similar roles pay here $224k

This role pays less than 77% of similar roles. Most pay $141,887–$211,200 — the shaded band above. At the midpoint, this role pays about $138k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Prudential Financial

Prudential Financial is a global financial services leader and premier active global investment manager.

Prudential Financial currently has 32 open roles on FindRole.

Listed pay typically runs $123,700–$202,050 across 32 roles with salary data.

Most-posted roles

View all roles at Prudential Financial

At a glance

TL;DR · Senior Data Engineer

Senior Data Engineer As a Senior Data Engineer on the FM Management Reporting team, you will partner with architects, infrastructure engineers, machine learning engineers, data scientists, and analysts to improve financial data lakes. You will analyze, design, develop, and maintain high-quality data pipelines that drive platform delivery while solving complex business problems through innovative products and services. Your daily work involves building and optimizing data pipelines, logic, and storage systems using modern design patterns. You will utilize a technical stack including Python, R, SQL, Java, Scala, Pyspark/Apache Spark, and Shell scripting. Additionally, you will work with AWS Redshift, Snowflake, Kinesis, Kafka, Airflow, and various infrastructure tools like Ansible and CloudFormation. The role focuses on data ingestion, transformation, real-time analytics, and ensuring data security within the financial services domain to enhance reliability and quality.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Build and optimize high-quality data pipelines using modern design patterns and coding standards.
  • Develop well-documented code for the management reporting team's financial data lakes.
  • Perform complex data analysis and prepare raw information for predictive and prescriptive modeling.
  • Execute automated testing, including unit, integration, and functional tests to ensure software quality.
  • Manage data ingestion, transformation, and storage across various relational and NoSQL database systems.
  • Implement serverless data pipelines using AWS tools like Glue, Lambda, and Step Functions.
  • Maintain and manage data infrastructure within cloud environments using Infrastructure as Code (IaC) frameworks.
  • Resolve complex technical problems by evaluating multiple factors to improve data reliability and efficiency.

What we're looking for

  • Bachelor of Computer Science or Engineering or experience in related fields.
  • Experience with DevOps automation tools and practices and knowledge of the full software development life cycle (SDLC).
  • Proficiency in programming languages including Python, R, SQL, Java, Scala, Pyspark/Apache Spark, and Shell scripting.
  • Experience in data ingestion, integration, and transformation from multiple sources to analytics platforms.
  • Experience with database management systems including relational, NoSQL, Graph, AWS Redshift, and Snowflake.
  • Knowledge of real-time analytics (Spark, Kinesis), workflow orchestration (Airflow, CloudWatch), and data visualization tools.
  • Knowledge of data protection, security principles, and infrastructure as code frameworks like Ansible or CloudFormation.
  • Experience with cloud computing fundamentals, specifically AWS architectural principles and core services.

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