Data & Analytics Engineer — Onsite in Springfield

DIGITAL MONITORING PRODUCTS; Springfield (MO); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Onsite medical clinic

Medical

Dental

401k

Life Insurance

Disability

Paid vacation/holidays

Security system protection

Free UPS shipping

Job summary

Digital Monitoring Products is seeking a Data and Analytics Engineer to design, build, and maintain scalable data pipelines and data platforms across the full data lifecycle. You will enable reliable analytics, dashboards, and actionable insights while ensuring data quality and governance.

The role requires 3+ years in analytics/data engineering with strong SQL, Python, and API experience. Onsite in Springfield, MO, with a focus on BI tools like Power BI, Tableau, Domo, Looker and governance

Qualifications

• Bachelor’s degree in computer science, data science, information systems, or related field or equivalent experience.
• 3+ years of analytics engineering, data engineering, BI development, or related role.
• Experience building and maintaining data pipelines, models, and BI solutions in production.
• Experience working cross-functionally to translate requirements into data products.
• Proficiency in SQL for data modeling, transformations, and performance optimization.
• Experience using APIs for data ingestion, integration, and automation.
• Familiarity with lakehouse architectures and data transformation pipelines.
• Strong BI and data visualization experience with Power BI/Tableau/Domo/Looker.
• Experience with version control and modern data development practices.
• Knowledge of data governance, metadata, and data quality practices.
• Able to clearly explain technical concepts to non-technical audiences.

Responsibilities

• Design, build, and maintain scalable data pipelines and automated workflows.
• Develop and maintain data warehouses, data lakes, and related platforms.
• Implement data quality tests and optimize queries.
• Monitor pipeline performance, data freshness, and security; troubleshoot issues.
• Collaborate with business stakeholders to deliver data products.
• Contribute to documentation, playbooks, and knowledge sharing.
• Stay current on tools and methods and recommend improvements.
• Transform raw warehouse data into structured datasets for BI dashboards.
• Perform predictive and statistical analyses to identify trends and insights.

Skills

SQL

Python

APIs

Communication

Problem solving

Education

Bachelor’s degree in computer science, data science, information systems, or related field

Tools

Power BI

Tableau

Domo

Looker

Git

Job description

Digital Monitoring Products is seeking a Data and Analytics Engineer to design, build, and maintain scalable data pipelines and data platforms across the full data lifecycle. You will enable reliable analytics, dashboards, and actionable insights while ensuring data quality and governance.

The role requires 3+ years in analytics/data engineering with strong SQL, Python, and API experience. Onsite in Springfield, MO, with a focus on BI tools like Power BI, Tableau, Domo, Looker and governance