Data Analytics Engineer

Data Analytics Engineer

As a Data Analytics Engineer at John W. Danforth Company, you will play a critical role in enabling data-driven decision-making across the organization. You will design, build, and maintain scalable data pipelines, data models, and analytics-ready datasets. In this role, you will partner closely with analytics, IT, and business teams to ensure reliable, efficient, and accessible data solutions that support reporting and advanced analytics initiatives.

• Build, maintain, and optimize ETL/ELT pipelines to support scalable data processing and integration across systems.

• Integrate data from internal and external sources while ensuring accuracy, consistency, and availability.

• Develop and maintain logical and physical data models, including analytics-ready data layers for reporting and insights.

• Deliver clean, reliable datasets that enable self-service analytics and support business intelligence tools.

• Implement data quality checks, validation processes, and monitoring to ensure data integrity.

• Support data governance initiatives, including metadata management, lineage, and compliance with security and regulatory standards.

• Optimize data pipelines, queries, and storage solutions to improve performance, scalability, and cost efficiency.

• Collaborate with IT, engineering, and business stakeholders to translate requirements into scalable data solutions.

• Troubleshoot production issues, provide enhancements, and contribute to continuous improvement efforts.

• 3–7+ years of experience in data engineering, analytics engineering, or a related field.

• Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)

• Strong SQL skills and experience with data modeling concepts and techniques.

• Experience with ETL/ELT tools and frameworks.

• Familiarity with cloud platforms such as Azure, AWS, or GCP.

• Knowledge of data warehousing concepts (e.g., dimensional modeling).

• Proficiency in programming or scripting languages such as Python, Spark, or similar.

• Strong problem-solving, analytical, and communication skills.

• Ability to manage multiple priorities and work collaboratively across teams.

Compensation Range: $80,000-$110,000

Bonus eligible

We are committed to providing employees a comprehensive benefits package which includes medical, dental, and vision coverage, along with health savings and flexible spending accounts, life insurance, disability, a 401(k) Savings Plan, and an employee assistance program.