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Sr Analyst, Data Engineer

Scottsmiraclegro Open · verified Oct 24, 2026
Marysville Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Scottsmiraclegro. Marysville · full-time · $115,900–$136,400 base.

SalaryStated by Scottsmiraclegro
$115,900 – $136,400
Base salary for this role, in USD per year, as published in the posting.
RoleData Engineering
SenioritySenior
LocationMarysville
EmploymentFull-time
Base pay$115,900–$136,400
PostedSep 23, 2026 · 4w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build ETL workflows and complex transformations, keeping data accurate and dependable across projects
  • Set up data checks, resolve anomalies, and work with stakeholders to maintain shared quality standards
  • Tune databases, schemas, indexes, and storage structures so data can be retrieved efficiently
  • Help analysts and scientists connect data to reports, and incorporate machine learning models into pipelines
  • Automate repeatable workflow steps and document processes so teammates can use and learn them

What you bring

  • A bachelor's degree in computer science, engineering, mathematics, or another related technical field
  • At least six years building and maintaining data pipelines, with six or more years in data engineering
  • Hands-on experience with Databricks, Python, Spark, and Airflow
  • AWS deployment experience with S3, Glue, Athena, or another listed service, plus data modeling and complex SQL

Who this fits

This senior technical role suits someone who can connect data engineering work with analysts’ and scientists’ needs, while communicating clearly and consulting with others. The role is based in Marysville, United States.

From the employer

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…

  • Our Live Total Health program provides you with options to align to your personal needs. Selections range from medical, dental and vision coverage for you, your spouse/domestic partner and dependents to an outstanding wellness reimbursement program to an unbelievable 401K match (up to 7.5%) as well as a 15% discount on company stock and much more

  • We know our talent is our most precious asset and your unique development contributes to our organization’s success now and in the future. Career growth at our company is not always a ladder. It’s much more like a rock climbing adventure. Grow through exploration and experiences rather than a predictable linear path.

  • We value the importance of family. We provide access to Maven Family Planning and up to $30,000 to accommodate for adoption, fertility and surrogacy.

  • Be part of something bigger by joining one of our Employee Resource Groups focusing on diversity and inclusion, family, education and sustainability: Scotts Women’s Network, Scotts Black Employees’ Network, Scotts Veterans Network, Scotts Young Professionals, Scotts Pride Network (GroPride), Scotts Associates for a Greener Earth (SAGE), Scotts Family TREE and our Associate Boards.

  • Join a company with a strong belief in giving back to the communities where we live and work. We have a shared passion for service and volunteerism and believe participating in community service benefits our communities and strengthens our team.

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.


Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering$110k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.