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Marsh McLennan

Senior Data Engineer

Dayton
$95.9k – $167.9k/yr
Posted about 18 hours ago
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Marsh McLennan Agency

Our not-so-secret sauce.

Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. The industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Senior Data Engineer at MMA.

Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh (NYSE: MRSH).

A day in the life.

As a Senior Data Engineer on the MMA National IT Team, we will count on you to:

  • Develop and maintain scalable data pipelines
  • Enhance data models
  • Provide subject matter expertise in data acquisition and consumption pipelines in Azure cloud solutions including and not limited to Databricks, ADF and other ETL/ELT tools

It involves developing best practices, reusable code, libraries, and frameworks for cloud-based data warehousing and ETL, and uses multi-cloud, programming languages like Scala, Python, SQL, in Unity Catalog, SQL Server and other RDBMS, NoSQL databases, and design enterprise data warehouse platforms.

By fostering collaboration and aligning with business objectives, you will have the opportunity to elevate data models, drive data-driven decision-making, and enhance data accessibility throughout the organization. Join us in championing data-driven decision-making and becoming an essential contributor to our data-driven success.

Our future colleague.

We’d love to meet you if your professional track record includes these skills:

  • Minimum of 10 years of practical data engineering experience in enterprise settings.
  • Strong proficiency with Azure services, particularly Azure Databricks, Azure Functions, and Azure Data Factory (preferred).
  • Advanced skills in Apache Spark using PySpark, Python and Databricks SQL, including query optimization and performance tuning.
  • In-depth knowledge of ETL/ELT processes, data pipeline development, and orchestration/scheduling and workflows.
  • Hands-on experience with Delta Lake features such as Change data capture, ACID transactions, optimization, and schema drifting/evolution.
  • Solid background in data modeling techniques, including normalized, dimensional, and Lakehouse models.
  • Experience handling both batch and real-time/streaming data processing using technologies like Kafka or Event Hub.
  • Strong understanding of data architecture principles, distributed systems, and cloud-native design patterns.
  • Ensure data quality, integrity, and security throughout the data lifecycle
  • Build, deploy and manage AI and machine learning applications on Databricks using Agents Bricks and custom MCP servers
  • Build and deploy Databricks Genie workspaces and enable conversational analytics on custom datasets

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Along with the above, you will also excel in:

  • Familiarity with CI/CD tools such as Azure DevOps and Git.
  • Experience with Infrastructure as Code (IaC) tools like Terraform and ARM templates.
  • Knowledge of data governance and cataloging solutions, including Unity Catalog for enabling Attribute and Role based access controls.
  • Experience supporting machine learning or business intelligence workloads on Databricks.
  • Exposure to Insurance and healthcare data domains is a huge plus.
  • Certifications in Databricks, data engineering and Azure cloud is a plus.

We know there are excellent candidates who might not check all of these boxes. Don’t be shy. If you’re close, we’d be very interested in meeting you.

Valuable benefits.

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We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work.

Some benefits included in this role are:

  • Generous time off, including personal and volunteering
  • Tuition reimbursement and professional development opportunities
  • Remote work
  • Charitable contribution match programs
  • Stock purchase opportunities

To learn more about a career at MMA, check us out on our website or flip through our recruiting brochure.

Follow us on social media to meet our colleagues and see what makes us tick:

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Who you are is who we are.

We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.

Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

#LI-REMOTE

The applicable base salary range for this role is $95,900 to $167,900.

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.

Applications will be accepted until:

August 24, 2026

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Skills

Azure Databricks
Azure Data Factory
Python
PySpark
SQL
ETL/ELT
Data modeling
Delta Lake
Data warehousing
Kafka
Event Hub
Terraform
Azure DevOps
Unity Catalog
Machine learning
Data architecture

Location

San Ramón de la Nueva Orán, Salta, Argentina

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