Role: Data Engineer (Mid-Level)
Location: Remote (US-based candidates only)
Position Type: Contract - 4 weeks (Short-term engagement)
Start Date: October 21st
Position Summary
Data Meaning is a Business Intelligence consulting company. We provide top consulting services to companies throughout the US, generating flexible solutions for our clients in the areas of Business Intelligence, Data Warehousing, and Project Management.We are a Tableau Preferred Partner, a Microsoft Gold Partner, and the 2020 Alteryx Global Partner of the Year!
We are looking for a Mid-Level Data Engineer with strong experience in SQL Server Integration Services (SSIS) to join our team for a short-term, 4-week project. The ideal candidate will have a solid background in ETL processes, data integration, and database management. This is a fully remote position, but the candidate must be based in the United States.
Responsibilities
- Design, develop, and maintain ETL processes using SSIS to ensure smooth data flows between systems
- Collaborate with stakeholders to understand data requirements and translate them into actionable data integration solutions
- Optimize and troubleshoot SSIS packages for performance and reliability
- Manage, transform, and integrate large datasets from various sources into existing databases
- Ensure data quality and consistency throughout the ETL lifecycle
- Document data workflows, processes, and technical requirements
- Review and document all dependencies between SSIS jobs and other systems (databases, applications, or external data sources)
- Capture the detailed logic of each SSIS package, including data sources, transformations, and destinations
- Document how error handling and logging are set up within each SSIS job
- Review and document the scheduling mechanism (e.g., SQL Server Agent) for SSIS job execution, along with any automation or trigger conditions
Requirements
- 3+ years of experience working as a Data Engineer, with a strong focus on SSIS
- Proficient in SQL and experience with SQL Server database management
- Hands-on experience with ETL design, development, and implementation
- Solid understanding of data modeling, data warehousing, and data transformation techniques
- Familiarity with data governance, data quality principles, and best practices
- Strong analytical and problem-solving skills with attention to detail
- Ability to work independently and manage time effectively in a fast-paced environment
- Must be US-based and eligible to work in the US (US Citizen/Permanent Resident)
Preferred Skills:
- Experience working with cloud data platforms (e.g., Azure, AWS).
- Familiarity with other ETL tools or scripting languages like Python.
- Understanding of data security and compliance standards
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