Senior Data Engineer

skillventory - A Leading Talent Research Firm

Data Engineer developing advanced data solutions for Fidelity’s Asset Management Technology team. Designing robust data models and ETL pipelines for critical investment decisions.

Posted 7/9/2026full-timeDurham • New Hampshire, North Carolina • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing advanced data engineering solutions, including robust data models and ETL pipelines, while applying modern DevOps and Agile practices. Proficient in Oracle PL/SQL, SQL Scripting, and data warehousing technologies to support critical investment decisions.

Highest-signal resume keywords

Oracle PL/SQL DevelopmentETL Tools (Informatica)Data Warehousing (Snowflake)Data Modeling (Quantitative and Multi-Dimensional Analysis)Agile Methodologies (Kanban and SCRUM)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQL ScriptingDatabase Performance TuningData Composition ConceptsTransactional StructuresData Mart StructuresData Warehouse StructuresJavaPythonREST APIAWS

Soft Skills

Excellent Written CommunicationExcellent Oral CommunicationProblem-SolvingInnovative ThinkingPassion for Learning

Industry Keywords

Financial IndustryData EngineeringDevOpsAgile PracticesData Analysis

Tech Stack

Tools & technologies

AWSETLInformaticaJavaOraclePythonSQL

About the role

Key responsibilities & impact

Develop advanced data engineering solutions that power critical investment decisions
Design robust data models and ETL pipelines
Apply modern DevOps and Agile practices

Requirements

What you’ll need

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
Passion for learning new technologies and analyzing data to identify gaps and build solutions
Ability to independently address technical challenges and develop innovative solutions
Strong data modeling skills using Quantitative and Multi-Dimensional Analysis
In-depth knowledge of data composition concepts including Transactional, Data Mart, and Data Warehouse structures
Basic proficiency in Java, Python, REST API, and AWS is advantageous
Experience with Agile methodologies (Kanban and SCRUM) is a plus
Excellent written and oral communication skills

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible working hours
Paid time off
Professional development opportunities