Senior Data Management Professional - Data Engineer - Loans Data

Bloomberg

Montgomery (AL)

On-site

USD 110,000 - 190,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Comprehensive benefits plan

Merit increases

Paid holidays and time off

401(k) + match

Wellness programs

Job summary

A leading financial data company is seeking a Mid-Senior level Data Engineer to enhance their loans data product. This full-time role involves improving data quality, managing data pipelines, and collaborating with cross-functional teams. The ideal candidate has extensive programming experience, strong data modeling skills, and a proven project management background. The position offers a salary range of $110,000 to $190,000 plus benefits and bonuses.

Qualifications

4+ years of programming experience in a development and/or production environment.
Strong data modelling principles and technologies.
Experience profiling new datasets for building ETL pipelines.

Responsibilities

Handle and improve the financial data that feeds Bloomberg products.
Identify workflow efficiencies and implement technical solutions.
Manage data for the loans product and automate data alignment.

Skills

Programming experience

Scripting languages

Data modeling

ETL pipelines

Data quality standards

Project management

Customer-focused mindset

Education

Advanced degree/Master’s in Finance, STEM, or relevant field

Job description

Senior Data Management Professional - Data Engineer - Loans Data

Join to apply for the Senior Data Management Professional - Data Engineer - Loans Data role at Bloomberg

This role involves leveraging AI-powered insights within Bloomberg's data ecosystem to deliver accurate, real‑time financial information.

Base pay range

$110,000.00/yr - $190,000.00/yr

Location

Skillman

Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. In Data, we are responsible for delivering data, news and analytics through innovative technology – quickly and accurately. We apply problem‑solving skills to identify innovative workflow efficiencies, and implement technology solutions to enhance our systems, products and processes.

Our Team – The Securities Credit Data team is responsible for timely and accurate entry of new bonds and loans, secondary market review, updates, and client support. Responsibilities also include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, and expanding data sets in collaboration with Engineering, Core Product, News, and Enterprise.

What’s the role? As a Data Engineer for Loans, you will:

Handle and improve the financial data that feeds Bloomberg products.
Identify workflow efficiencies and implement technical solutions.
Establish links with key players in the financial market.
Manage data for our loans product, create pipelines from additional sources, and automate data alignment and quality strategies.
Lead technical implementation of onboarding new datasets.
Define fit‑for‑purpose data products and deliver a roadmap aligned to the overall product vision.

We’ll Trust You To

Develop data‑driven strategies and collaborate with engineering, product, and enterprise data teams.
Analyze internal processes for improvement and implement innovative solutions.
Design data models for raw and enriched data storage, following FAIR data principles.
Develop data quality strategies for the Loans dataset and implement scalable solutions.
Use data visualisation skills to report on ongoing operations and projects.

You’ll Need To Have

4+ years of programming experience in a development and/or production environment.
Proficiency in scripting languages for building pre‑processing services integrated into data pipelines.
Strong data modelling principles and technologies for requirement analysis and conceptual, logical, and physical modelling.
Experience profiling new datasets and building high‑volume, low‑latency ETL pipelines.
Understanding of data quality standards to improve dataset value.
Proven project management track record and a customer‑focused mindset.

We’d Like To See

Advanced degree/Master’s or equivalent in Finance, STEM, or relevant field; CFA designation (or pursuit).
Familiarity with statistical methods such as Machine Learning, AI, NLP.
Experience designing optimal database structures.
Experience working in an Agile development team.

Apply if you think we're a good match. The next steps will be communicated directly to you.

Salary Range: $110,000 – $190,000 USD annually + Benefits + Bonus.

We offer a comprehensive benefits plan, including merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, disability benefits, 401(k) + match, life insurance, and wellness programs.

Seniority level