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ScottsMiracle-Gro

Sr Analyst, Data Engineer

14111 Scottslawn Rd, Marysville, OH 43040-7800

Full-time · $116k–$136k (as posted)

First seen by offpeak October 4, 2026

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Here at ScottsMiracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply!


The Senior Analyst in Data Engineering is a technical role that supports data processing and integration efforts. You'll use your advanced analytical skills to improve data pipelines and ensure data delivery is consistent across projects. This role bridges the gap between data engineers and data analysts/scientists to optimize data-driven initiatives. 

In this role you will :

Data Processing and Transformation:      
- Perform data extraction, transformation, and loading (ETL) processes.        
- Design and implement complex data transformation logic to meet business requirements.        
- Ensure the accuracy and reliability of data processing tasks.

Data Quality and Validation: 
- Implement and execute data quality checks to identify and address anomalies. 
- Collaborate with stakeholders to define and enforce data quality standards. 
- Monitor and troubleshoot data quality issues to maintain high standards.

Database Management: 
- Manage and optimize databases to support efficient data storage and retrieval. 
- Implement database schemas, indexes, and structures for optimal performance.

- Collaborate with database administrators to ensure database integrity and security.

Reporting and Analytics Support: 
- Support data analysts and data scientists in creating reports and analytics solutions. 
- Collaborate with business intelligence teams to integrate data for reporting purposes. 
- Ensure data availability and accuracy for analytical purposes.

Collaboration with Data Scientists: 
- Work closely with data scientists to understand their data requirements and provide support. 
- Assist in the integration of machine learning models into data engineering pipelines. 
- Optimize data processing for machine learning tasks.                                
Process Automation: 
- Identify opportunities for process automation within data engineering workflows. 
- Implement automation scripts and tools to streamline repetitive tasks. 
- Enhance operational efficiency through the use of automation.  

Documentation and Knowledge Sharing: 
- Document data engineering processes, workflows, and best practices. 
- Share knowledge and provide training to team members and other stakeholders. 
- Maintain up-to-date documentation for reference and training purposes.  

What you'll need to be successful:

-Bachelors Degree in Computer Science in Engineering, mathematics, or related technical field

Required : Databricks, python, Spark SQL, Airflow

Desired : AWS Certified Data Engineer          

-4-7 years of experience preferred

-6+ years of experience in Data Engineering

-Strong communication skills to timely and effectively convey information and consult with others

Skills:

-6+ years of developing and maintaining data pipelines (ETL/ELT)

-6+ years of programming experience in Databricks, Python, and Apache Spark

-Experience with Apache Airflow

-Experience in deploying solution in AWS Cloud with emphasis on Amazon S3, Glue, Athena, EMR, RDS, and lake formation

-Experience in data modelling and writing complex SQL queries                    
                                
                                     
                                
                                                                
                                                                
                                
                                                                
                                
                                                                
                                
                                                           
                                
                                

                                       
                                        
                                        
                                        
                                        
                                        

The starting budgeted pay range for this role will generally fall between $115,900.00 - $136,400.00 per year. Scotts will consider various factors in determining the actual pay including your skills, qualifications, experience, and geographical location.In addition to the determined base salary, this role is also incentive eligible under our corporate bonus programs.For remote roles where the final candidate resides in Alaska, California, Colorado, Illinois, New York, Oregon or Washington, state required pay thresholds will be factored into base salary.

Here at ScottsMiracle-Gro, we believe providing an enriching and engaging employee experience is what sets us apart from other organizations. We recognize our employees are so much more than just their job title so we offer programs and benefits that support them in all aspects of their lives. Wondering how we do it? Below is a glimpse of our highlight reel…

Not interested in this role? Stay up to date on future opportunities by joining our ScottsMiracle-Gro talent communities.


Scotts is an EEO Employer, dedicated to a culturally diverse, drug free workplace.


EEO/AA Employer/Minority/Female/Disability/Veteran/Sexual Orientation/Gender Identity


Notification to Agencies:

Please note that the Scotts Miracle-Gro company does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Master Service Agreement, and specific approval to submit resumes to an approved requisition, the Scotts Miracle-Gro company will not consider or approve payment regarding recruiter fees or referral compensations.


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