Data Engineer II, Financial Intelligence
Plantation, Florida, United States of America
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- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and maintain scalable data models in dbt Cloud and Snowflake
Partner with Finance and Accounting to define requirements and metric definitions
Implement data quality controls and validation for financial data
Investigate and resolve data discrepancies between source systems and financial reporting
Optimize SQL and dbt models for performance and cost efficiency
From the employer’s posting
Design, develop, and maintain scalable data models in dbt Cloud and Snowflake
Partner directly with Finance, Accounting, and business stakeholders to understand business processes, reporting requirements, data definitions, and analytical needs.
Implement data quality controls and validation to ensure the accuracy, completeness, consistency, and reliability of financial data.
Investigate and resolve data discrepancies, reporting issues, transformation failures, and differences between source systems and downstream financial reporting.
Optimize SQL and dbt models for performance, maintainability, scalability, and cost efficiency
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Finance, or a related field, or equivalent practical experience.
- 5+ years of experience in data engineering, analytics engineering, business intelligence engineering, or a related data discipline.
- Strong proficiency in SQL, including experience developing complex transformations and analytical data models.
- Experience working with Snowflake or a similar cloud data warehouse.
- Strong understanding of dimensional data modeling, including fact tables, dimensions, grain, relationships, slowly changing dimensions, and reusable analytical datasets.
- Demonstrated experience working directly with business users and analysts to gather requirements, validate solutions, troubleshoot data issues, and explain technical concepts in business terms.
Qualification wording
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Finance, or a related field, or equivalent practical experience.
5+ years of experience in data engineering, analytics engineering, business intelligence engineering, or a related data discipline.
Strong proficiency in SQL, including experience developing complex transformations and analytical data models.
Experience working with Snowflake or a similar cloud data warehouse.
Strong understanding of dimensional data modeling, including fact tables, dimensions, grain, relationships, slowly changing dimensions, and reusable analytical datasets.
Demonstrated experience working directly with business users and analysts to gather requirements, validate solutions, troubleshoot data issues, and explain technical concepts in business terms.
Education & alternatives
What You’ll Need: - Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Finance, or a related field, or equivalent practical experience. - 5+ years of experience in data engineering, analytics engineering, business intelligence engineering, or a related data discipline.
Tools in this posting
- SQL
- dbt
- Snowflake
Source — Tool mentions in context
In this role, you will focus on transforming complex financial and operational data into reliable, well-structured, and reusable data models using dbt Cloud and Snowflake. You will work closely with Finance, Accounting, Analytics, and other business partners to understand business processes, define requirements, and translate those needs into scalable technical solutions and trusted data products. The ideal candidate brings strong SQL, dbt, Snowflake, and data modeling expertise, along with the ability to work directly with business users and explain technical concepts in clear business terms. This is an opportunity to strengthen Chewy's Financial Intelligence data foundation, improve the consistency and usability of financial data, and help Finance and Accounting teams access trusted information more efficiently. What You’ll Do:
- Investigate and resolve data discrepancies, reporting issues, transformation failures, and differences between source systems and downstream financial reporting. - Optimize SQL and dbt models for performance, maintainability, scalability, and cost efficiency while documenting model dependencies, transformations, and metric definitions. - Identify opportunities to simplify data transformations, reduce manual Finance processes, improve self-service access to trusted data, and apply practical automation where it adds value.
- 5+ years of experience in data engineering, analytics engineering, business intelligence engineering, or a related data discipline. - Strong proficiency in SQL, including experience developing complex transformations and analytical data models. - Strong hands-on experience with dbt, including model development, testing, documentation, dependencies, reusable components, and development best practices.
At Chewy, Financial Intelligence is building trusted, scalable, and well-governed data solutions that enable Finance and Accounting teams to make faster, more informed decisions. We are seeking an experienced Data Engineer II to design, develop, and maintain the data models and pipelines that support financial reporting, analytics, planning, and operational decision-making across the enterprise. In this role, you will focus on transforming complex financial and operational data into reliable, well-structured, and reusable data models using dbt Cloud and Snowflake. You will work closely with Finance, Accounting, Analytics, and other business partners to understand business processes, define requirements, and translate those needs into scalable technical solutions and trusted data products. The ideal candidate brings strong SQL, dbt, Snowflake, and data modeling expertise, along with the ability to work directly with business users and explain technical concepts in clear business terms. This is an opportunity to strengthen Chewy's Financial Intelligence data foundation, improve the consistency and usability of financial data, and help Finance and Accounting teams access trusted information more efficiently.
What You’ll Do: - Design, develop, and maintain scalable data models in dbt Cloud and Snowflake that support Finance, Accounting, reporting, planning, and analytical use cases. - Partner directly with Finance, Accounting, and business stakeholders to understand business processes, reporting requirements, data definitions, and analytical needs.
- Strong proficiency in SQL, including experience developing complex transformations and analytical data models. - Strong hands-on experience with dbt, including model development, testing, documentation, dependencies, reusable components, and development best practices. - Experience working with Snowflake or a similar cloud data warehouse.
- Strong hands-on experience with dbt, including model development, testing, documentation, dependencies, reusable components, and development best practices. - Experience working with Snowflake or a similar cloud data warehouse. - Strong understanding of dimensional data modeling, including fact tables, dimensions, grain, relationships, slowly changing dimensions, and reusable analytical datasets.
Posting record
Report an errorMay be filledThe employer has taken this listing down, so the role may be filled. Check their website before applying.
- Status in our records
- No longer listed
- First seen by us
- Aug 25, 2026 · 60 days ago
- Recorded sightings
- 124
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description:
Our Opportunity:
At Chewy, Financial Intelligence is building trusted, scalable, and well-governed data solutions that enable Finance and Accounting teams to make faster, more informed decisions. We are seeking an experienced Data Engineer II to design, develop, and maintain the data models and pipelines that support financial reporting, analytics, planning, and operational decision-making across the enterprise.
In this role, you will focus on transforming complex financial and operational data into reliable, well-structured, and reusable data models using dbt Cloud and Snowflake. You will work closely with Finance, Accounting, Analytics, and other business partners to understand business processes, define requirements, and translate those needs into scalable technical solutions and trusted data products.
The ideal candidate brings strong SQL, dbt, Snowflake, and data modeling expertise, along with the ability to work directly with business users and explain technical concepts in clear business terms. This is an opportunity to strengthen Chewy's Financial Intelligence data foundation, improve the consistency and usability of financial data, and help Finance and Accounting teams access trusted information more efficiently.
What You’ll Do:
Design, develop, and maintain scalable data models in dbt Cloud and Snowflake that support Finance, Accounting, reporting, planning, and analytical use cases.
Partner directly with Finance, Accounting, and business stakeholders to understand business processes, reporting requirements, data definitions, and analytical needs.
Translate business requirements into well-designed, reusable, and maintainable dimensional, fact, aggregation, and analytical data models.
Build and support ETL/ELT processes that transform source data into trusted analytical datasets, with a primary emphasis on transformation and modeling.
Implement data quality controls and validation to ensure the accuracy, completeness, consistency, and reliability of financial data.
Investigate and resolve data discrepancies, reporting issues, transformation failures, and differences between source systems and downstream financial reporting.
Optimize SQL and dbt models for performance, maintainability, scalability, and cost efficiency while documenting model dependencies, transformations, and metric definitions.
Identify opportunities to simplify data transformations, reduce manual Finance processes, improve self-service access to trusted data, and apply practical automation where it adds value.
What You’ll Need:
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Finance, or a related field, or equivalent practical experience.
5+ years of experience in data engineering, analytics engineering, business intelligence engineering, or a related data discipline.
Strong proficiency in SQL, including experience developing complex transformations and analytical data models.
Strong hands-on experience with dbt, including model development, testing, documentation, dependencies, reusable components, and development best practices.
Experience working with Snowflake or a similar cloud data warehouse.
Strong understanding of dimensional data modeling, including fact tables, dimensions, grain, relationships, slowly changing dimensions, and reusable analytical datasets.
Demonstrated experience working directly with business users and analysts to gather requirements, validate solutions, troubleshoot data issues, and explain technical concepts in business terms.
Experience supporting Finance, Accounting, FP&A, financial reporting, or other financial data domains preferred, with strong analytical, communication, documentation, and stakeholder partnership skills.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Plantation, Florida, United States of America
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Experience supporting Finance, Accounting, FP&A, financial reporting, or other financial data domains preferred, with strong analytical, communication, documentation, and stakeholder partnership skills. Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
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