Senior Data Management Professional: Automation Engineer – Entities jobs in United States
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Bloomberg · 8 hours ago

Senior Data Management Professional: Automation Engineer – Entities

Bloomberg is a leading global financial services and technology company, and they are seeking a Senior Data Management Professional: Automation Engineer. The role involves building data arbitration and decision engines, improving data ingestion pipelines, and ensuring data governance and quality across Bloomberg's financial products.

AnalyticsBusiness Information SystemsFinancial ServicesInformation ServicesNews
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Design and build the data arbitration and decision engine to resolve conflicts across multiple data sources, determining which values to publish
Drive the standardization and automation of our ingestion pipelines across structured, unstructured, and internal sources
Conduct data profiling and analysis to identify quality gaps, inconsistencies, and opportunities for process improvement
Implement data lineage, observability, and monitoring frameworks to ensure transparency, traceability, and reliability
Collaborate with Engineering and Product to define and evolve platform requirements and technical architecture
Apply a data product mindset—balancing engineering efficiency with data quality, client needs, and long-term maintainability
Support the integration of AI/LLM-based tools as part of our larger data processing and enrichment strategy

Qualification

Data engineeringData automationData governanceData profilingPythonSQLAI/MLCloud servicesAnalytical mindsetCommunication skills

Required

4+ years of experience in data engineering, data architecture, or data automation roles
Experience working with financial data, especially within reference or entity/company data domains
Strong proficiency in a programming language (e.g., Python, Java, Scala) and modern data tooling (e.g., Spark, Airflow, Kafka)
Strong SQL skills for data transformation, validation, and reconciliation
Demonstrated experience working with large-scale datasets, ideally in domains such as reference or entity data
Experience with multi-source data arbitration, data normalization, and resolving conflicts across heterogeneous datasets
Deep understanding of data governance, quality frameworks, and metadata management
Strong analytical mindset and experience with data profiling and validation techniques
Proven ability to work independently and cross-functionally in a fast-evolving environment
Excellent communication skills and the ability to explain technical decisions to stakeholders with varying levels of technical knowledge
Experience building decision engines using rules-based logic and/or AI/ML or LLM-based models

Preferred

Familiarity with frameworks like DCAM or DAMA-DMBOK
Experience working in AWS and/or Azure for cloud-native data processing and storage
Proficiency with Git and CI/CD pipelines for reliable, production-grade deployments
Familiarity with cloud data services (e.g., S3, EMR, Glue, ADLS, Data Factory, Databricks)
Experience implementing data observability tools (e.g., Monte Carlo, OpenLineage, or custom solutions)

Benefits

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
Various wellness programs

Company

Bloomberg

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Bloomberg provides news, data, analytics, and communication services for the global business and financial world.

H1B Sponsorship

Bloomberg has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (496)
2024 (382)
2023 (363)
2022 (426)
2021 (442)
2020 (588)

Funding

Current Stage
Late Stage

Leadership Team

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David Rosenberg
Head of Machine Learning Strategy, CTO Office
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Nabil Bitar
CTO - Head of Network Architecture
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