Kroll ยท 10 hours ago
Manager II, Data Engineering
Kroll is a global leader in risk and financial advisory solutions, seeking a Lead Data Engineer to enhance their data engineering capabilities. The role involves designing scalable data infrastructure, mentoring engineers, and collaborating with valuation professionals to meet strategic data initiatives and client delivery goals.
AccountingConsultingNavigationRisk ManagementSecurity
Responsibilities
Design and build scalable, reliable data infrastructure and pipelines
Mentor junior and mid-level engineers through code reviews, coaching, and knowledge sharing
Identify and implement process improvements (automation, optimization, monitoring)
Collaborate with valuation professionals to understand the business needs and requirements
Lead complex technical implementation work, ensuring performance and quality standards
Collaborate with global teams to deliver fault-tolerant, high-quality data solutions
Drive engineering excellence by enforcing coding standards, automated unit testing, and CI/CD best practices
Lead and participate in global trainings to enhance the understanding of the infrastructure by valuation professions
Contribute to architecture discussions and proof-of-concepts, providing input without direct ownership of roadmap
Qualification
Required
Bachelor's degree in computer science, Engineering, or related field (master's preferred). Equivalent experience considered
5+ years of experience in data engineering or software engineering, with at least 2 years in a senior or lead role
Proven experience building and managing ETL/ELT pipelines
Advanced proficiency with Azure, AWS, and Databricks (with a focus on data services)
Deep knowledge of Python, Spark ecosystem (PySpark, Spark SQL), and relational databases
Experience building REST APIs, Python SDKs, libraries, Spark-based data services and tools like FastAPI, Pydantic, Polars, Pandas, Delta Lake, Docker, Kubernetes
Understanding of Lakehouse architecture, Medallion architecture, and data governance
Experience with pipeline orchestration tools (e.g., Airflow, Azure Data Factory)
Strong communication skills and ability to work cross-functionally with international teams
Skilled in data profiling, cataloging, and mapping for technical data flows
Understanding of API product management principles, including lifecycle strategy, documentation standards, and versioning
Experience with CI/CD, Git, and DevOps best practices
Preferred
Familiarity with financial statements and valuation methodologies (income approach, market approach, etc.)
Broader cloud architecture awareness (networking, security, cost optimization)
Experience tuning complex SQL/Spark queries and pipelines for performance
Hands-on experience building Lakehouse solutions using Azure Databricks, ADLS, and/or Snowflake as part of a modern data platform architecture
Benefits
Healthcare Coverage: Comprehensive medical, dental, and vision plans.
Time Off and Leave Policies: Generous paid time off (PTO), paid company holidays, generous parental and family leave.
Protective Insurances: Life insurance, short- and long-term disability coverage, and accident protection.
Compensation and Rewards: Competitive salary structures, performance-based incentives, and merit-based compensation reviews.
Retirement Plans: 401(k) plans with company matching.
Company
Kroll
Kroll is a provider of risk solutions that helps clients make confident risk management decisions.
H1B Sponsorship
Kroll 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 (21)
2024 (14)
2023 (10)
2022 (15)
2021 (7)
Funding
Current Stage
Late StageTotal Funding
unknown2023-12-13Acquired
Recent News
Morningstar.com
2025-12-02
2025-11-19
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