Data Engineer

Description

Title: Data Engineer

Reports To: Director, Business Intelligence

Department: Revenue Strategy and Planning

Location: Cincinnati, OH

Position Status: Salary Exempt

About DMG:

Divisions Maintenance Group provides facility maintenance services to retail chains and distribution and fulfillment centers across the country.

We are leading the way with our technology, creating world-class products that are revolutionizing the industry and fulfilling our brand promise of “Uninterrupted Peace of Mind.”

DMG is a Certified Great Place to Work with a strong, inclusive culture and top-notch benefits.

Job Summary:

The Data Engineer will join the Business Intelligence team within the Revenue Strategy & Planning organization.

This role focuses on building and maintaining the data infrastructure that powers analytics, reporting, and decision-making across the business. The Data Engineer will design scalable data pipelines, ensure data quality and governance, and support analytics teams with reliable, well-structured datasets. While this role is more technically focused than stakeholder-facing, you’ll partner with BI analysts, data scientists, and technical stakeholders to translate business needs into robust data solutions.

This role is designed for a mid-career engineer with strong technical fundamentals who can own data systems end-to-end, balance platform engineering with analytics enablement, and operate effectively in a fast-moving environment.

What You'll Do:

Data Platform & Pipeline Engineering

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows that power analytics and reporting.
• Develop and optimize data models in the warehouse to support downstream analytics, BI dashboards, and operational reporting.
• Implement orchestration and scheduling for reliable, automated data processing.
• Monitor pipeline performance, troubleshoot failures, and ensure uptime and reliability of critical data systems.
• Optimize queries and data structures for performance and cost efficiency.

Data Quality & Governance

• Establish and enforce data quality standards, validation checks, and monitoring to ensure accuracy and consistency.
• Document data lineage, transformation logic, and schema definitions for transparency and governance.
• Partner with stakeholders to define data contracts, naming conventions, and architectural standards.
• Build reusable frameworks and patterns that improve consistency across datasets.

Analytics Enablement

• Collaborate with BI analysts and data scientists to understand requirements and deliver clean, structured datasets.
• Support the creation of core dimensional models and analytics-ready tables that enable self-service reporting.
• Provide technical guidance on data usage, best practices, and troubleshooting to analytics team members.
• Balance platform-level work with responsiveness to evolving business analytics needs.

Automation & AI-Assisted Workflows

• Use AI tools (e.g., ChatGPT, Claude) to accelerate development, documentation, code review, and troubleshooting.
• Leverage low-code/no-code automation tools (e.g., Zapier, Make, or similar) to streamline data workflows and integrations where appropriate.
• Identify opportunities to reduce manual effort through smart automation while maintaining data quality and governance standards.
• Build pragmatic solutions that balance technical rigor with speed and business impact.

Other

• Other duties as assigned by management.

What You Need:

• Bachelor’s degree in Computer Science, Data Engineering, Computer Engineering, or a related technical field.
• 3–5 years of experience in data engineering, analytics engineering, or a related role.
• Strong SQL skills with experience writing complex queries, optimizing performance, and designing data models.
• Experience building and maintaining production data pipelines using modern tools (e.g., Airflow, dbt, Fivetran, or similar).
• Proficiency in Python for data transformation, automation, and pipeline development.
• Working knowledge of cloud data platforms (e.g., Snowflake, BigQuery, Redshift, or Databricks).
• Familiarity with data modeling best practices (dimensional modeling, normalization, slowly changing dimensions).
• Understanding of data governance principles including lineage, quality monitoring, and documentation.
• Experience with version control (Git) and CI/CD practices for data workflows.
• Comfort using AI tools to accelerate coding, problem-solving, and documentation.
• Willingness to leverage low-code/no-code tools when they provide practical solutions without compromising data integrity.
• Ownership-oriented mindset with attention to detail and a focus on reliability.
• Ability to manage the stress of a fast-paced environment.
• Ability to meet the in-person requirements of the team and/or business needs.

What You'll Get:

At DMG, you’ll be part of an amazing team that encourages learning, growth, and advancement. Our company has an entrepreneurial spirit that rewards self-starters and encourages employees to take charge of their own careers. 

Some of our many benefits include:

• Health, dental and vision coverage on day 1.
• Dollar-for-dollar 401K match up to 4% of salary with immediate 100% vesting.
• Paid Primary and Secondary Caregiver leave.
• Employee Assistance Program to assist with everyday challenges.
• Paid time off to volunteer.

Divisions Maintenance Group is an equal opportunity employer.