W2 - Sr Data Engineer (SQL, Python, MS FABRIC, Azure SQL, Warehousing, CI/CD, ADO, Git) - Remote
Duties: Implement data pipelines using best practices for ETL / ELT, data management, and data governance. Analyze and process complex data sources in a fast-paced environment. Perform data modeling against large data sets for peak efficiency. Identify, design, and implement process improvement solutions that automate manual processes and leverage standard frameworks and methodologies. Understand and incorporate data quality principles that ensure optimal reliability, impact, and user experience. Partner across teams to support cross-platform operations. Create and document functional and technical specifications. Drive exploration of new features, versions, and related technologies, and provide recommendations to enhance our offerings. Mentor junior engineers within the team null
Skills:
- SQL
- PYTHON
- MICROSOFT FABRIC
Education: Bachelor's degree in Computer Science, Information Technology or related field; OR equivalent 5+ years of experience. 5+ years of hands-on experience programming in SQL. 3+ years of experience building and maintaining automated data pipelines and data assets using batch and/or streaming processes null
Schedule Notes: Microsoft Fabric Infrastructure experience.
Scope of Work:
- Prepare and configure the Azure Microsoft Fabric instance to support integration with Cogito Cloud
- Build and deploy required data infrastructure by July 2026 to align with Cogito Cloud readiness
- Design and implement scalable data pipelines, transformations, and platform components within Fabric
- Support data validation, lineage, and certification processes to ensure trusted data delivery
- Partner with stakeholders to ensure successful integration, testing, and readiness for go-live
Core Requirements:
- 5+ years of experience in data engineering / data platform development
- Hands-on experience with Microsoft Fabric (required), including: -Lakehouse architecture -Data Factory (Fabric pipelines) -Dataflows Gen2 -Warehousing / SQL endpoints
- Strong experience with Azure data services (ADLS, Synapse, Azure SQL)
Technical Skills: Proficiency in: Python and/or PySpark, SQL (advanced)
Experience building and optimizing: ETL/ELT pipelines, Data ingestion frameworks (batch & streaming)
Strong understanding of:
- Medallion architecture (Bronze/Silver/Gold layers)
- Delta Lake and parquet-based storage
- Experience with CI/CD and DevOps practices (Azure DevOps, Git)
Data & Platform Expertise: Data modeling experience (dimensional + semantic layer support)
Experience integrating data for:
- Reporting (Power BI preferred)
- Downstream analytics and AI/ML use cases
- Familiarity with data governance and security (RBAC, HIPAA, data policies)
Nice to Have: Experience with:
- Power BI semantic models / datasets
- Real-time analytics in Fabric
- Exposure to data catalog / lineage tools
Hours Per Day: 8.00
Hours Per Week 40.00
Pay rate: $60/hr on W2.
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