Senior Data Management Professional - Data Quality Engineer - Company Financials

Bloomberg • New York, New York State, United States • $110k - $190k / year • 3m ago

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our Team:

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by our industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in and our clients’ current and future needs.

What’s the role?

The Company Financials team is looking for a Data Quality Engineer who is passionate about ensuring the integrity, accuracy, and reliability of data across complex systems. In this role, you will have the autonomy to investigate issues independently, build scalable solutions, and collaborate closely with data scientists, engineers, and business stakeholders.

You won’t just be identifying data problems; you’ll be solving them and taking them from proof-of-concept to scaling across our datasets. We want someone who takes full ownership of the quality of our data pipelines, develops robust validation systems, and leverages statistical thinking to anticipate and detect anomalies before they impact business decisions.

We’ll trust you to:

Take ownership of data quality initiatives that span multiple critical data pipelines.
Lead projects globally to improve data quality across all datasets under Company Financials
Harness both new and existing tools and systems for proactive data monitoring, validation, and anomaly detection.
Use statistical techniques and identify machine learning opportunities to profile our data sets and find clear data inconsistencies or trends.
Collaborate with a wide array of stakeholders across industries, product, engineering, and operations to solve problems at their root issues.
Act as the point of escalation for systemic data quality issues; investigating, resolving, and preventing them independently, while balancing urgency with an aversion to technical debt.

You’ll need to have:

A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience
4+ years of Python programming and scripting in a production environment
4+ years experience in data analysis, financial market research, and/or information technology
Sound understanding of data quality as a domain of data management (DAMA CDMP, DCAM certification a plus)
Demonstrable ability to conduct data profiling and data analysis (using Python is a plus) and visualize results with tools such as python libraries, Qlik Sense or Tableau
Strong analytical abilities with passion for data and evidence-based decision-making
Superb communication and project management skills; you can explain things to both technical and non-technical audiences
Understanding of basic equity markets concepts and their application to financial data
Solid ability to combine technical skills with business insight

We’d love to see:

Master's degree or equivalent experience or certification such as a CFA charter holder or CAIA
Experience with data observability platforms (e.g., Great Expectations, Soda)
Exposure to distributed systems like Spark
Background in statistics or machine learning
Experience with navigating complex data environments

Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

ACCOMMODATIONS

Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for.

EQUAL OPPORTUNITY

Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a “Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.