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Senior Data Management Professional - Data Engineer - Private DealsBloombergUnited States
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Senior Data Management Professional - Data Engineer - Private Deals

Bloomberg
  • US
    United States
  • US
    United States
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Senior Data Management Professional - Data Engineer - Private Deals
This range is provided by Bloomberg. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. 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. We combine data and context to paint a complete picture for our clientsaround the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technologyquickly and accurately. We apply product thinking, domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape. Our Team
The Private Deals Data team is responsible for Bloombergs private transactions data modelan essential foundation for understanding global private markets. This data defines and enriches private companies, linking them to. Private company data plays a critical role in research, investment analysis, compliance, and due diligence. Integrating diverse datasets with our core private company data helps clients uncover insights, validate exposures, monitor evolving risks, and identify new opportunities in opaque and fast-growing markets. The Role
We are seeking a Data Engineer to design, build, and maintain the data pipelines, models, and integrations that power Bloombergs private company data ecosystem. This role focuses on embedding M&A and Private Market data into Bloombergs semantic model and analytical frameworks such as BQLenabling richer discoverability and seamless integration across client workflows. You will develop robust ETL processes, manage schema mappings, and implement scalable data transformations to ensure consistency and reliability. Youll also contribute to enhancing Bloombergs private company valuation product by extending the data model, implementing versioning, and ensuring data provenance is fully traceable. Working closely with Product, Engineering, and Data teams, youll play a central role in shaping the technical foundation that underpins Bloombergs evolving private market offerings. You Will Design, build, and maintain data pipelines and models to integrate M&A and Private data into Bloombergs semantic model and BQL. Perform schema mapping, normalization, and transformation to align diverse datasets with internal standards. Implement scalable ETL processes ensuring completeness, accuracy, and transparency of data. Extend the valuation data model to support company-level valuations, versioning, and auditability. Partner with Product and Data teams to define and implement data quality and consistency checks. Develop documentation and reusable frameworks for data ingestion and integration. Support discoverability and search capabilities by ensuring data is optimized for BQL and function-layer exposure. Contribute to continuous improvement of data engineering practices and tools.
Required Skills
3+ years of experience in data engineering, software engineering, or related fields. Strong programming skills in Python, Java, or Scala, with proficiency in data processing frameworks (e.g., Spark, Flink, or Beam). Solid understanding of data modeling, schema design, and ETL architecture. Experience working with relational and columnar data stores (e.g., SQL, Postgres, BigQuery). Familiarity with semantic data models or knowledge graphs. Understanding of data versioning, provenance tracking, and metadata management. Strong problem-solving and debugging skills with attention to scalability and performance. Comfort working in collaborative, cross-functional environments.
Wed Love To See
Experience integrating financial or private market data. Familiarity with Bloomberg Query Language (BQL) or similar query interfaces. Understanding of valuation data, company financials, or transaction modeling. Experience working in Agile teams. Passion for building high-quality, transparent, and auditable data systems.
Apply
Apply if you think were a good match. Well get in touch to let you know what the next steps are! Benefits
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. Salary
Salary Range = $110,000 - $190,000 USD Annually + Benefits + Bonus. The referenced salary range is based on the Companys 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. EEO Statement
Bloomberg values diversity and inclusion. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. #J-18808-Ljbffr
  • United States

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  • English
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