Senior Data Engineer
Experience: 6–8 years
Work Schedule: Must be able to provide some overlap with US Pacific Time for client meetings
About the Role
We are looking for a Senior Data Engineer with strong experience in SQL Server, ETL/ELT, data modeling, and data quality to build and maintain reliable data pipelines and a shared data foundation across multiple source systems.
The ideal candidate will be comfortable working with complex and inconsistent data environments, legacy systems, flat-file/report-based integrations, and multiple databases. This role requires strong analytical and problem-solving skills, along with the ability to work independently and communicate data-related issues clearly to technical and business stakeholders.
Key Responsibilities
- Extract and integrate data from SQL databases, spreadsheets, ERP report exports, and other source systems.
- Clean, standardize, match, and reconcile data across multiple systems.
- Perform data quality checks, deduplication, validation, and reconciliation.
- Design, develop, and maintain reliable ETL/ELT pipelines and data loads.
- Build standardized data models that integrate data from multiple source systems.
- Develop and maintain operational and reporting data models.
- Create and maintain a data dictionary with agreed definitions, mappings, and business rules.
- Develop reliable integration processes for systems with limited or no APIs using report exports, flat files, or other appropriate methods.
- Write and optimize complex SQL queries, stored procedures, and database processes.
- Perform SQL Server performance tuning and troubleshoot database-related issues.
- Implement appropriate data masking, access controls, and least-privilege practices.
- Investigate data discrepancies and identify root causes.
- Collaborate with BI analysts and application developers to support reporting and application requirements.
- Document data processes, mappings, and technical solutions.
- Communicate technical findings and data issues clearly to stakeholders.
Required Qualifications
- 6–8 years of professional experience in Data Engineering.
- Strong hands-on expertise with Microsoft SQL Server.
- Advanced SQL skills, including query optimization and performance tuning.
- Strong experience with ETL/ELT development and data integration.
- Experience with one or more of the following:
- SSIS
- Azure Data Factory
- Python
- Strong understanding of data modeling for operational and reporting environments.
- Hands-on experience with data quality processes, including:
- Data cleansing
- Data matching
- Deduplication
- Data validation
- Data reconciliation
- Experience integrating data from ERP systems through reports, exports, flat files, or similar methods.
- Experience with data masking, security, and access controls.
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to work independently and manage data engineering tasks with minimal supervision.
- Strong written and verbal communication skills.
Preferred Qualifications
- Experience creating Power BI data models.
- Experience working with inventory, procurement, supply-chain, or ERP data.
- Experience in agriculture, food, manufacturing, or related industries.
- Experience working directly with client-side IT teams and business stakeholders.
- Experience working with legacy systems and highly inconsistent or fragmented data.
What You'll Bring
- Strong ownership and attention to detail.
- A structured approach to solving complex data problems.
- Ability to work effectively with messy and incomplete data.
- Ability to translate technical data issues into clear business explanations.
- A proactive approach to identifying data-quality and integration challenges.
- Ability to collaborate effectively with technical and non-technical stakeholders.
If you are a hands-on Senior Data Engineer with strong SQL Server, ETL, data modeling, and data-quality experience, we’d love to hear from you.
