Senior Data Engineer: Pipelines, Quality & ML Enablement

Scotts Miracle-Gro; United States; Remote; USD 116,000 - 136,000; Full time

Benefits offered by this job

Live Total Health

Wellness reimbursement

401K match

Stock discount

Career growth

Maven Family Planning

Adoption assistance

Employee Resource Groups

Community service

Job summary

Scotts Miracle-Gro is seeking a Senior Analyst in Data Engineering to enhance data processing, integration, and delivery across projects. This role bridges data engineers and analysts to optimize data-driven initiatives and ensure reliable pipelines for decision-making.

The position emphasizes ETL design, data quality, database optimization, and collaboration with data scientists. You will support BI teams, automate workflows, document processes, and contribute to scalable, secure data solutions.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field.
• Required: Databricks, Python, Spark SQL, Airflow.
• Desired: AWS Certified Data Engineer.
• 6+ years of experience in Data Engineering; 4-7 years preferred.
• Strong communication skills to consult with stakeholders.

Responsibilities

• Perform ETL processes and design complex data transformation logic.
• Ensure accuracy and reliability of data processing tasks.
• Manage and optimize databases for storage and retrieval.
• Support analysts and data scientists in reporting and analytics solutions.
• Collaborate with data scientists to integrate ML models into pipelines.
• Identify opportunities for process automation in data workflows.
• Document data engineering processes and share knowledge.

Skills

Data pipelines

Databricks, Python, Spark

Airflow

AWS Cloud

SQL querying

Data modelling

Education

Bachelor's degree in CS/Engineering/Math

Job description

Scotts Miracle-Gro is seeking a Senior Analyst in Data Engineering to enhance data processing, integration, and delivery across projects. This role bridges data engineers and analysts to optimize data-driven initiatives and ensure reliable pipelines for decision-making.

The position emphasizes ETL design, data quality, database optimization, and collaboration with data scientists. You will support BI teams, automate workflows, document processes, and contribute to scalable, secure data solutions.