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.