Senior Data Engineer, PL/SQL

Fidelity Financial Services

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Durham, NC
Posted: 15 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $164k

$111k $212k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$202,120.

Based on 240 similar postings.

Employer

About Fidelity Financial Services

Fidelity Investments is one of the largest financial services companies in the world, offering brokerage services, mutual funds, retirement planning, wealth management, and life insurance to individuals and institutions. Industry: Financial Services & Investment Management

Fidelity Financial Services currently has 141 open roles on FindRole.

Listed pay typically runs $107,000–$216,000 across 35 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer, PL/SQL

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The Senior Data Engineer - PL/SQL joins the Asset Management Technology team to develop advanced data engineering solutions powering critical investment decisions. This role involves designing robust data models, building scalable ETL pipelines, and developing high-quality data processing solutions for a multi-terabyte data platform. The successful candidate will utilize Oracle PL/SQL, SQL Scripting, and database performance tuning while working with Informatica and Snowflake. Core responsibilities include data modeling using Quantitative and Multi-Dimensional Analysis and managing Transactional, Data Mart, and Data Warehouse structures. Technical skills include Java, Python, REST API, and AWS, alongside DevOps practices using Maven, Jenkins, Git, and Docker. The role addresses technical challenges within the financial industry, specifically supporting managed account offerings and investment management functions for wealth management services.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

Skills

Oracle PL/SQL SQL Informatica Snowflake Data Warehousing ETL Java Python AWS REST API Maven Jenkins Git Docker DevOps Agile Kanban SCRUM AutoSys

What you'll do

Develop scalable data processing solutions and robust ETL pipelines.
Design complex data models using Quantitative and Multi-Dimensional Analysis.
Perform Oracle PL/SQL development, SQL scripting, and database performance tuning.
Manage data warehousing platforms and ETL tools like Informatica and Snowflake.
Implement software delivery using DevOps, Continuous Integration, and Continuous Delivery practices.
Analyze data to identify gaps and build innovative technical solutions.
Participate in an after-hours on-call rotation for production support and incident response.

What we're looking for

Demonstrated expertise in crafting high-quality data engineering solutions.
Strong software development background in the Financial Industry.
Expertise in Oracle PL/SQL development, SQL Scripting, and database performance tuning.
Proven understanding of ETL tools like Informatica and Data Warehousing platforms such as Snowflake.
Strong data modeling skills using Quantitative and Multi-Dimensional Analysis.
In-depth knowledge of Transactional, Data Mart, and Data Warehouse structures.
Basic proficiency in Java, Python, REST API, and AWS (preferred).
Experience with Agile methodologies (Kanban and SCRUM) (preferred).

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