Senior Data Engineer
New
Western States or MidwestFull-TimeSenior
Salary120,000 - 126,000 USD per year
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Job Details
- Experience
- 7 or more years
- Required Skills
- PythonMicrosoft SQL ServerData modelingAzure DevOps
Requirements
- 7 or more years of Data Engineering experience in an oversight capacity
- Extensive domain-specific experience in the Financial Services industry
- Experience with Microsoft cloud-based technologies in a hybrid architecture
- RDBMS expertise with Microsoft SQL Server (on prem and Azure SQL): advanced T SQL, query design, execution plans, index strategies
- Data modeling mastery: 3NF normalization, star/snowflake schemas, surrogate vs. natural keys, temporal tables
- Extensive experience with Microsoft Fabric: pipelines, notebooks, Lakehouse/Warehouse concepts, and Medallion architecture
- Experience with Azure DevOps: CI/CD pipelines for AIS and Fabric assets
- ETL/ELT and data movement experience (SSIS, ADF, dbt, Airflow)
- Experience in reverse-engineering, refactoring and migrating legacy applications
- Security and governance experience: RBAC, least privilege, PII handling, encryption, and compliance (e.g., SOC2, HIPAA, GDPR)
Responsibilities
- Design, implement and maintain a robust, efficient and compliant application data repository and integration architecture.
- Work with Business and IT stakeholders to assist with data-related technical issues and provide application support.
- Coordinate, direct and oversee the work of third-party engineers through solution design reviews, code reviews and process reviews.
- Identify, design, and implement internal process improvements like, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Research and analyze new technologies, methodologies and architectures for viability.
- Build and maintain a service-based architecture for web and mobile applications.
- Work independently within a scrum delivery team, with oversight from domain and enterprise architects, in support of business-critical applications.
- Contribute to the development of frameworks, guidelines, best practices and examples to ensure data structures and integration processes are accurate, compliant and secure.
- Implement telemetry indicators to monitor performance, quality metrics to track accuracy and access controls to ensure compliance.
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