Data and Analytics Engineer

On Site Full TimeSpringfield, Missouri, United StatesDigital Monitoring Products

Role Overview

The Data and Analytics Engineer plays an important role in developing and supporting the company’s data and analytics environment. This position works across data engineering, business intelligence, and analytics to manage the full data lifecycle.

What You Will Do

Design, build, and maintain scalable data pipelines and automated workflows to extract, ingest, integrate, and process data from multiple sources.

Why It Might Be a Fit

The ideal candidate is a hands-on problem-solver with strong SQL and Python skills, experience with API integrations, and a passion for making data accessible, accurate, and useful throughout the organization.

Requirements

  • Bachelor’s degree in computer science, data science, information systems, or a related field; or equivalent professional experience.
  • 3+ years of experience in analytics engineering, data engineering, BI development, or a closely related role.
  • Demonstrated experience building and maintaining data pipelines, models, and BI solutions in production environments.
  • Experience working cross-functionally with business teams to translate requirements into data products.
  • Proficiency in SQL for data modeling, transformations, and performance optimization.
  • Experience working with APIs for data ingestion, integration, and automation.
  • Familiarity with medallion/lakehouse architectures and developing transformation pipelines.
  • Strong skills in BI and data visualization tools such as Power BI, Tableau, Domo, Looker, or equivalent platforms.
  • Experience with version control tools (such as Git) and modern data development practices.
  • Experience administering BI platforms, including governance, permissions, and content management.
  • Knowledge of data governance, metadata management, and data quality practices.
  • Ability to communicate technical concepts clearly to non-technical audiences.
  • Strong problem-solving skills and comfort taking ownership across the full data lifecycle.
  • Ability to develop and execute complex research projects with minimal supervision.

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To apply for this job please visit secure6.saashr.com.

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