Senior Data Engineer

Kroll

Senior Data Engineer at Kroll, designing and implementing data pipelines for analytics and automation. Collaborating with teams to scale data infrastructure that supports AI and business insights.

Posted 5/6/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $60,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudDockerETLKubernetesPandasPythonSQLTableau

About the role

Key responsibilities & impact

Design and build scalable organizational data infrastructure and Medallion architecture within a Lakehouse environment
Develop robust, fault-tolerant ETL/ELT applications for seamless data ingestion, transformation, and distribution to enable analytics, reporting, and AI workloads
Work with different stakeholders and teams to assist with data related technical solutions and support their data infrastructure needs
Explore and experiment with new use cases, frameworks, and tools to enhance AI capabilities, ensuring data integrity, quality, and reliability
Identify and implement infrastructure re-designs to improve scalability, optimize data delivery, and automate manual workflows
Collaborate with cross-functional teams to understand data requirements, create robust data models, and deliver actionable insights
Monitor, troubleshoot, and optimize jobs for performance, addressing data pipeline bottlenecks and ensuring cost efficiency

Requirements

What you’ll need

Bachelor’s or master’s degree in computer science, engineering, or a related field
5+ years of proven experience in data engineering, delivering business-critical software solutions for large enterprises with a consistent track record of success
Experience writing ETL/ELT jobs
Experience with Azure and Databricks Platform
Experience with Python, SQL, and REST APIs
Cloud architecture principles: compute, storage, networks, security, cost
Proficiency in using open-source tools, frameworks like FastAPI, Pydantic, Polars, Pandas, Delta Lake, Docker, Kubernetes
Knowledge of CI/CD, Git, or infrastructure-as-code concepts
Strong project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously in an Agile environment
Understanding of how data engineering feeds into Business Intelligence and reporting tools (Power BI/Tableau)
Strong problem-solving and analytical skills
Strategic thinker and strong execution orientation
Ability to work in cross-functional teams
Attention to detail and data quality

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringETLELTPythonSQLREST APIscloud architectureCI/CDinfrastructure-as-codedata modeling

Soft Skills

project managementproblem-solvinganalytical skillsstrategic thinkingexecution orientationattention to detailcollaborationprioritizationcommunicationadaptability