Hiring.Camp

Data Tech Lead

Mmc

·

Aug 19, 2026

Salary
$139 – $277
Location
Chicago - 155 Wacker, United States of America
Workplace
Hybrid
Type
Full-time
Department
IT
Seniority
Lead
Source
Workday

Description

Company:

Description:

• Defines data flows, i.e., which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition.
Develops, implements, and deploys custom data pipelines powering machine learning algorithms, insights generation, client benchmarking tools, business intelligence dashboards, reporting and new data products.

• Defines reference architecture, which is a pattern that others can follow to create and improve data systems
 
• Innovates new ways to leverage multiple large datasets to drive revenues via the development of new products with the Data Strategy team, as well as the enhanced delivery of existing products  

• Consumes data from a variety of sources (relational DBs, APIs, NetApp and other cloud storage, FTPs) & formats (Excel, CSV, XML, parquet, unstructured)) 

• Constructs and maintains data pipelines between internal/external sources and the data lake utilizing modern ETL frameworks

• Owns the role of data steward for a variety of high value datasets and implement innovative quality assurance practices, including automated validation with frameworks like dbt or Great Expectations.

• Establishes and implements metadata management standards and capabilities, including lineage mapping

• Enforces strong development standards across the team through code reviews, unit/integration testing, and monitoring 

• Performs basic exploratory data analysis to create & validate requirements for data pipelines

• Evangelizes data engineering techniques and best practices throughout the company

• Keeps up to date on the latest trends and innovation in data technology and how these trends apply to GC's business and data strategy

For U.S. colleagues only, click here to review additional responsibilities and our reasonable accommodations standards.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting [email protected].

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

The applicable base salary range for this role is $139.000 to $277.900.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

Skills

Machine LearningData EngineeringETLExcel

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