Senior Data Engineer
Senior Data Engineer
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USD 123098 - 184971
1 Vacancy
Job Description
OilDri Corporation of America is a leading manufacturer and supplier of specialty sorbent products for consumer and businesstobusiness markets that has been voted as a Top 100 workplaces in the Chicago Tribune. OilDris products are sold in the pet care animal health fluids purification agricultural sports field industrial and automotive markets. OilDri controls millions of tons of specialty mineral reserves including calcium bentonite attapulgite and diatomaceous shale. The companys mines and manufacturing facilities are located in Georgia Mississippi Illinois and California. OilDri is a familycontrolled and operated organization that emphasizes honesty integrity and accountability. The company is dedicated to fulfilling its mission to Create Value From Sorbent Minerals.
Job Summary
We are looking for a Senior Data Engineer to join our Enterprise Data team to drive analytics and data initiatives. In thisrole youll spend approximately 75 of your time designing building and maintaining data pipelines and architecture and 25 analyzing data to deliver actionable insights that support decisionmaking across the organization. This position is ideal for a candidate with a strong foundation in data engineering who also enjoys diving into data analysis to uncover trends and insights.
Essential Functions
Data Engineering:
- Data Pipeline Development: Design develop and maintain scalable ETL (Extract Transform Load) pipelines to integrate cleanse and process data from various sources into our enterprise data warehouse.
- Database Design: Assist in the design of effective data models to support analytics initiatives.
- Data Infrastructure Management: Set up and manage databases data lakes and other data storage solutions to ensure efficient and secure data access.
- Data Quality Assurance: Implement data validation and integrity checks within pipelines to ensure data accuracy and reliability.
- Automation: Automate repetitive data workflows and processes to improve efficiency and reduce manual work.
- Optimization: Monitor and optimize data processing performance and storage identifying areas for improvement and reducing data processing time.
- Collaboration: Work closely with customers from various business functions to understand data requirements and ensure alignment with business goals.
- Documentation: Document data engineering workflows structures and procedures to enable teamwide understanding and continuity.
Data Analysis:
- Reporting and Visualization: Develop semantics layers within the reporting tools as well as dashboards reports and visualizations to communicate findings and insights to technical and nontechnical stakeholders effectively.
- Data Exploration: Assist users in the analysis of data to identify patterns trends and insights that support business initiatives and inform strategic decisions.
- Collaboration with Business Units: Work with business units to understand data needs and align analysis with organizational goals.
Qualifications
Education:
- Bachelors Degree in Computer Science Data Science Engineering or a technical field.
Experience:
- 7 years of data engineering experience with data analysis exposure.
Technical Skills:
- Data Engineering: Proficiency with SQL and data warehousing solutions.
- Experience with the Microsoft Fabric platform and tools such as Data Factory is preferred or experience with other platforms and tools for storage and ETL (such as AWS Redshift Google BigQuery Snowflake Informatica Matillion Talend).
- Data Storage: Familiarity with databases and advanced SQL.
- Data Analysis: Experience with data visualization tools (e.g. Tableau Power BI).
Soft Skills:
- Strong analytical and problemsolving skills.
- Ability to communicate technical concepts effectively to both technical and nontechnical stakeholders.
- Adaptability to work on both engineering and analytical tasks.
- Excellent time management skills to balance engineering and analytical responsibilities.
Preferred Qualifications:
- Experience in cloud platforms (AWS GCP or Azure).
- Experience in the Microsoft suite of data tools
- Familiarity with machine learning workflows.
- Previous experience in a similar hybrid role in a fastpaced environment.
Compensation and Benefits
Compensation
- $123098 $184971
Benefits
- 401(k) with 6 match (Fully Vested at 2 Years)
- Annual Incentive Bonus
- Annual Merit increase opportunity
- Employee Stock Purchase Plan
- 11 Corporate Holidays
- Paid Parental Leave
- PreTax Transit
- Fitness & Gym Reimbursement
- Employer Contribution Health Dental Vision
OilDri is committed to providing equal opportunity for all teammates and qualified candidates without regard to race color creed religion sex age sexual orientation national origin ancestry citizenship marital status mental or physical disability veteran status or any other characteristic protected by federal state or local laws. Accordingly all employment decisions and personnel actions or programs such as hiring promotion discipline compensation benefits transfers reductions in workforce and training etc. will be consistent with the principle of equal employment opportunity.
Other details
- Pay TypeSalary
- Min Hiring Rate$123098.00
- Max Hiring Rate$184971.00
Required Experience:
Senior IC
Employment Type
Full-Time
