Data Management Engineer

At Towne Park, it’s more than a job, you can make an impact.

A career with us is rewarding in more ways than one.

As a hospitality services company, our commitment is to create smiles by delivering exceptional experiences. When you work with us, you have an opportunity to impact the millions of patients, visitors and guests we proudly serve. Whether providing compassionate service that eases the anxiety of a patient and their family, creating a memorable experience for a guest in a new city, or helping a colleague, every day is a new opportunity to brighten someone else’s day and make an impact.

When we see a customer, a client or one of our own team members smile, we know we made an impact. It’s why we do what we do.

Towne Park is a place where you can make a difference and create smiles every day.

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Compensation: Towne Park is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location. The annual base pay range for this position is $120,000 - $130,000.

Benefits: Employees are eligible to enroll in medical, dental, and vision insurance, accident insurance, critical illness insurance, hospital indemnity insurance, and telemedicine benefits. Employees are provided company‑paid basic life and AD&D insurance as well as short‑term and long‑term disability. Employees are also able to enroll in the company’s 401k retirement savings plan.

Paid Time Off: Employees accrue 0.0654 hours of PTO per hour worked up to a maximum of 136 hours per calendar year. Employees receive 6 paid holidays throughout the calendar year and employees accrue up to a maximum of 4 paid floating holidays per calendar year.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

The Data Engineer will play a key role in designing, building, and optimizing data pipelines that power analytics and business intelligence across the organization. This role involves developing and maintaining scalable ETL/ELT processes, managing data integration between Azure and Snowflake environments, and ensuring data quality, reliability, and performance.

The ideal candidate is a hands‑on data professional with strong SQL and Snowflake expertise, experience in Azure data tools, and a solid understanding of modern data architecture principles. The role requires close collaboration with analysts, data scientists, and business stakeholders to deliver clean, well‑modeled, and accessible data for reporting and decision‑making.

Reasonable accommodations may be made to enable individuals with disabilities to perform all functions.

Descriptive Statement(s)

% of Time

Design, build, and maintain data pipelines and ETL/ELT processes for analytics and reporting.

15%

Work with Azure Data Tools, SQL Server, and Snowflake to manage data ingestion and transformation.

15%

Develop and optimize SQL queries, stored procedures, and data models in Snowflake.

15%

Implement data quality checks, monitoring, and error handling in data workflows.

15%

Collaborate with data analysts and business stakeholders to understand data requirements.

15%

Support the migration of data from Azure VM SQL Server to Snowflake environments.

15%

Contribute to the development and maintenance of data governance, metadata, and documentation.

10%

The total amount of time for all functions of the job

100%

Education:

• Bachelor’s or master’s degree in computer science, Data Management, Data Engineering

Work Experience:

• 3–5 years of professional experience as a Data Engineer or in a similar role.

Knowledge &

Skills:

• Medium to Strong hands‑on experience with:
  • Azure Data Tools (Power BI, Power Automate, Webhooks, etc.)
  • SQL Database
  • Snowflake Data Warehouse
  • SQL development and optimization skills.
• Familiarity with data modeling, ETL/ELT frameworks, and data lake architectures.
• Experience using Python/C /C# .NET…