Senior Data Engineer

Responsibilities

• Create Azure Policies and baseline rules.
• Handle KPIs and corresponding dashboard development and maintenance.
• Design and implement scalable data architectures, ensuring high availability, reliability, and performance of data systems.
• Architect, design, develop, and implement efficient information systems and/or operations systems in support of core enterprise functions.
• Understand business requirements, study existing application landscape, and identify redundant/ineffective systems.
• Build, maintain, and optimize data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses or data lakes.
• Create data migration/system integration strategies.
• Conceptualize technical solutions to complex problems and maximize benefit of systems investments.
• Manage and optimize databases (both SQL and NoSQL), ensuring data consistency, quality, and security.
• Integrate data from disparate sources, including APIs, flat files, and third-party data, ensuring comprehensive data availability for analytics and reporting.
• Implement and monitor data quality measures to ensure accuracy, completeness, and reliability of data.
• Design and develop/maintain reports, primarily in Power BI.
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Work closely with clients to gain organizational commitment for all systems and software plans, as well as evaluate and guide the selection of technologies required to complete those plans.
• Automate repetitive tasks to improve data processing efficiency and reduce manual intervention.
• Monitor system performance to detect and resolve problems during deployment and support change management.
• Maintain comprehensive documentation for data processes, systems, and pipelines to facilitate knowledge sharing and onboarding.
• Provide excellent communication to handle Office Hours or support work.

Requirements

• Microsoft Azure
• Kusto
• PL/SQL
• Microsoft Power BI
• Microsoft SQL Server 2012 Business Intelligence

Benefits

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision
• Disability Planning & Insurance
• Pet Insurance Plans
• Maternal & Parental Leaves
• Auto & Home Insurance
• Identity Theft Protection
• Commuter Benefits
• Certification & Training Reimbursement
• Vacation, Time Off, Sick Leave & Holidays
• Legal Assistance
• 401K Plan
• Performance Bonus
• College Fund
• Student Loan Refinancing

Pay

$64,000 - $99,000 a year