Description
At Kroll our professionals combine analytical rigor deep market insight and independence to deliver defensible analysis and practical solutions. We think globally act with transparency and encourage our people to do the same. Join our collaborative and supportive environment where your work makes a real impact this is the Kroll difference.
We are strengthening our data engineering capabilities to transform how we deliver internal business intelligence and external client reporting. As a Lead Data Engineer you will take ownership of complex initiatives guide best practices and mentor other engineers while remaining deeply hands-on. This role will report to the Portfolio Valuation service line supporting their strategic data initiatives and client delivery goals.
At Kroll your work helps protect restore and maximize value for our clients. Join usand together well maximize the value of your career.
RESPONSIBILITIES :
REQUIREMENTS :
Bachelors degree in computer science Engineering or related field (masters 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
DESIRED SKILLS
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.
Your recruiter will be happy to walk you through your U.S.-specific benefits which include :
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.
Please note that benefits may vary by region department and role. We encourage you to speak with your recruiter to learn more about the specific benefits available for your position.
About Kroll
Join the global leader in risk and financial advisory solutionsKroll. With a nearly century-long legacy we blend trusted expertise with cutting-edge technology to navigate and redefine industry complexities. As a part of One Team One Kroll youll contribute to a collaborative and empowering environment propelling your career to new heights. Ready to build protect restore and maximize our clients value Your journey begins with Kroll.
In order to be considered for a position you must formally apply via .
We are proud to be an equal opportunity employer and will consider all qualified applicants regardless of gender gender identity race religion color nationality ethnic origin sexual orientation marital status veteran status age or disability.
The current salary range for this position is $90000 to $200000
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Required Experience :
Manager
Key Skills
Hospitality Experience,Go,Management Experience,React,Redux,Node.js,AWS,Mechanical Engineering,Team Management,Leadership Experience,Mentoring,Distributed Systems
Employment Type : Full-Time
Experience : years
Vacancy : 1
Engineering Manager Data • Atlanta, Georgia, USA