Senior Python Data Engineer - (Remote)

Kroll Bond Rating Agency, LLC

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• Own the end-to-end design, development, and optimization of KBRA’s flagship financial-analytics data platform, serving thousands of daily queries from credit-rating analysts, portfolio managers, and external clients.
• Architect and maintain resilient, low-latency data pipelines that ingest, validate, and enrich billions of rows of structured and unstructured market, fundamental, and alternative data from 50+ global sources (Bloomberg, Refinitiv, S&P, SEC filings, loan-level tapes, ESG feeds, satellite imagery, news sentiment, etc.).
• Write clean, idiomatic, test-driven Python (3.10+) code using modern tooling—asyncio, pandas, polars, pydantic, FastAPI, Airflow, Dagster, Great Expectations, dbt, pytest, tox, pre-commit, and mypy—to guarantee deterministic, reproducible, and auditable data transformations.
• Design and evolve a cloud-native lakehouse on AWS (S3, Glue, EMR, Lambda, Step Functions, Redshift Spectrum, Athena) with Infrastructure-as-Code (Terraform, CDK) that scales horizontally and keeps compute costs predictable while meeting sub-second SLAs for interactive dashboards.
• Partner with quant-research, credit-analytics, and ESG teams to translate complex business logic into reusable data products—e.g., cash-flow waterfalls, transition matrices, PD/LGD models, climate-risk scenarios—delivered as versioned Python packages and REST/GraphQL micro-services.
• Implement rigorous data-quality frameworks that surface anomalies in real time, trigger automated remediation workflows, and provide full lineage provenance required for regulatory audits (SEC, ESMA, PRA).
• Champion DevOps and MLOps best practices: containerization (Docker), CI/CD (GitHub Actions), blue-green deployments, feature stores, model registries, and observability (Datadog, CloudWatch, Prometheus, Grafana).
• Lead code reviews and pair-programming sessions, mentoring junior engineers and fostering a culture of continuous learning, psychological safety, and blameless post-mortems.
• Collaborate with InfoSec to enforce encryption in transit & at rest, role-based access control, secret management (AWS KMS, Vault), and vulnerability scanning across the data stack.
• Drive the migration of legacy on-prem Spark jobs to a modern, cost-efficient serverless architecture, cutting annual cloud spend by 30% while improving job reliability from 92% to 99.9%.
• Contribute to open-source projects (pandas, Airflow, dbt) and represent KBRA at PyData, PyCon, and local meetups, elevating our engineering brand and attracting top-tier talent.
• Translate regulatory changes (Basel III, IFRS 9, CECL, SFDR) into technical requirements, ensuring our data models remain compliant and future-proof.
• Build self-service analytics portals (Streamlit, Dash, Superset) that empower non-technical analysts to explore curated datasets without writing SQL.
• Establish SLAs, SLOs, and error budgets; use statistical process control to detect drift and alert stakeholders before downstream models degrade.
• Create comprehensive documentation (ADR, runbooks, API specs) and deliver brown-bag sessions to demystify the data platform for cross-functional partners.

🎯 Requirements

• 6+ years of production-grade Python engineering, including async, type-hinted codebases and packaging (setuptools, poetry).
• Expert-level SQL (PostgreSQL, Redshift, Snowflake) and hands-on experience with columnar formats (Parquet, ORC) and lakehouse architectures (Iceberg, Delta, Hudi).
• Proven track record designing event-driven ETL/ELT pipelines at petabyte scale on AWS or GCP with Infrastructure-as-Code (Terraform, CloudFormation, CDK).
• Deep understanding of data-modeling patterns (star, snowflake, data vault) and performance tuning (partitioning, clustering, vectorized execution).
• Nice-to-have: master’s in CS, Math, or quantitative finance; experience with credit-risk models, fixed-income analytics, or regulatory reporting; contributions to open-source data engineering projects.

🏖️ Benefits

• Fully remote-first culture with quarterly team off-sites in global hubs (NYC, London, Singapore) and a $2,000 annual travel stipend.
• Competitive base salary ($180k–$220k) plus 20% performance bonus and equity in KBRA Holdings, LLC.
• Comprehensive health, dental, vision, and mental-wellness coverage for you and dependents—100% employer-paid premiums.
• 25 days PTO, 12 company holidays, and a 4-week paid sabbatical every 4 years to recharge and pursue personal projects.

Skills & Technologies

Python

Senior

Remote

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

Kroll Bond Rating Agency, LLC

Visit Website

About Kroll Bond Rating Agency, LLC

Kroll Bond Rating Agency, LLC (KBRA) is a leading credit rating agency providing trusted analysis and transparent surveillance across various financial markets. The company specializes in delivering insightful bond ratings, detailed research, and comprehensive data-centric applications through its premier KBRA Analytics platform. KBRA serves a diverse clientele including investors, originators, and the broader financial community, enabling deeper analysis and rapid discovery with high-quality data and advanced analytics. Their seasoned industry specialists cover sectors such as corporates, structured credit, financial institutions, and public finance, offering critical insights to monitor market performance and trends. With a foundation built since 2010, KBRA remains a vital resource for credit intelligence.

View Company Profile