Senior Data Automation Engineer – People Data

Bloomberg; New York (NY); On-site; USD 110,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401(k) + match

Paid holidays

Job summary

Bloomberg in New York seeks a Senior Data Management Professional to drive automation of People Data data quality and acquisition. You will design scalable solutions, reduce manual workflows, and implement AI-enabled workflows to classify, extract, and validate data at scale.

You will collaborate with Data, Product, and Engineering teams to monitor data quality, define success metrics, and accelerate coverage expansion while maintaining production-grade data workflows.

Qualifications

• BA/BS degree or higher in Computer Science, Mathematics, Information Systems, Finance, or related field, or equivalent experience.
• 3+ years of professional experience in Data Quality Management, Data Management, Data Operations, Data Acquisition, Data Governance, or related disciplines within Finance or Technology industries.
• Experience applying AI, ML, NLP, or rules-based automation to data acquisition, enrichment, validation, or operational workflows.
• Experience developing data quality metrics and business rules as part of a broader data architecture or operational framework.
• Understanding of data pipelines, workflow orchestration, and automation frameworks used to acquire, transform, and maintain data at scale.
• Experience identifying workflow inefficiencies and partnering with technical teams to deliver scalable data solutions.
• Experience writing production-ready code and conducting unit/integration testing.
• Strong Python skills with production-grade data workflows, automation solutions, and analytical tooling.
• Understanding of Data Engineering best practices.

Responsibilities

• Design and implement scalable solutions to improve data quality, automate data acquisition, and expand coverage across the People Data product.
• Identify recurring manual processes, bottlenecks, and quality failure points, then translate them into automation opportunities and preventive controls.
• Design, build, and deploy automation solutions that improve data quality, expand coverage, and scale data onboarding and maintenance across datasets.
• Investigate complex operational challenges and independently develop scalable solutions that reduce manual effort and improve data reliability.
• Perform data profiling and apply analytical methods to support data quality measurements, rulesets, and monitoring frameworks.
• Collaborate with domain experts in Data, Product, Enterprise, and Engineering to design and implement solutions that improve data quality and scale acquisition systems.
• Design and implement AI-enabled workflows to classify, extract, enrich, reconcile, validate, and prioritize People Data at scale.
• Define success metrics to measure automation impact, data quality improvement, operational efficiency, and coverage expansion.
• Educate and empower colleagues on data quality, automation, and scalable data management principles.
• Keep up with industry trends, standards, and innovation across data quality, data operations, AI, and engineering domains.
• Work in a fast-paced, multifaceted, and collaborative setting.

Skills

Python

Data quality

Automation

Data operations

AI workflows

Communication

Education

BA/BS in CS or related field

Tools

Tableau

QlikSense

Job description

Bloomberg in New York seeks a Senior Data Management Professional to drive automation of People Data data quality and acquisition. You will design scalable solutions, reduce manual workflows, and implement AI-enabled workflows to classify, extract, and validate data at scale.

You will collaborate with Data, Product, and Engineering teams to monitor data quality, define success metrics, and accelerate coverage expansion while maintaining production-grade data workflows.