Senior Data Engineer leading scalable data infrastructure design at Spellbook. Collaborating with distributed teams to transform contract data into actionable insights.
About the role
- Senior Data Engineer building scalable analytics infrastructure at CreatorIQ for enterprise partners. Focused on data architecture and real-time insights for influencer marketing.
Responsibilities
- Design and implement ETL pipelines migrating from transactional databases to analytical data warehouses
- Create real-time data ingestion systems processing campaign data, user metrics, and business intelligence
- Build multi-tenant data models with proper partitioning strategies for enterprise-scale clients
- Develop data quality frameworks with comprehensive validation, monitoring, and alerting
- Implement Row-Level Security (RLS) and Role-Based Access Control (RBAC) in analytical databases
- Design dynamic permission models supporting organization-level and division-level data access
- Build session-based context management for secure multi-tenant queries
- Create comprehensive audit trails and access logging for compliance requirements
- Design database schemas with advanced partitioning and indexing strategies
- Build materialized views and aggregated tables for real-time analytics
- Implement query optimization, data skipping, and compression techniques
- Handle high-concurrency embedded dashboard usage with sub-second query performance
- Build dashboard data sources with optimized SQL transformations
- Handle complex data structures and parsing requirements
- Create flat, denormalized tables optimized for embedded analytics consumption
- Implement custom field handling for tenant-specific metadata requirements
Requirements
- 5+ years of data engineering experience with production-scale systems
- Expert-level SQL skills with analytical databases (columnar databases preferred)
- Strong Python programming with data libraries: pandas, numpy, pyarrow
- Experience with ETL orchestration tools: Apache Airflow, Prefect, dbt, or similar
- Deep understanding of analytical databases, partitioning strategies, and OLAP optimization
- Experience building SaaS data platforms with tenant isolation requirements
- Knowledge of Row-Level Security (RLS) implementation in analytical databases
- Understanding of RBAC patterns and session-based access control
- Experience with authentication flows in data systems
- Familiarity with compliance requirements (SOC2, GDPR) for multi-tenant data
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
- Surprise meal stipends
- Whole Health Package
- Work from home stipend
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Data Engineer role focused on building and optimizing data pipelines within Microsoft Fabric at AIM. Collaborating closely with analysts and developers to deliver scalable data solutions.
Senior Software Engineer focusing on data engineering and machine learning for Workday. Involves data ingestion, governance, and collaboration using modern technologies.
LP
Data Warehouse Tester / Developer
LinkedIn Recruiter Post
Hiring Data Warehouse Tester/Developer in Toronto, ON (Hybrid). Requires 6 - 8 years exp in Databricks, PySpark, Python, SQL, Azure, ADF, DevOps, Informatica.
Lead Data Engineering and Analytics team to oversee data infrastructure design and governance for robotic deliveries. Collaborate cross - functionally to enable data - driven decision - making across departments.
Senior Data Architect delivering enterprise - scale data and analytics solutions at 3Pillar. Leading design and delivery of analytics platforms in mixed prem and cloud environments.
Cloud Data Engineer responsible for modern Data & AI solutions on Microsoft Azure. Collaborating with clients and teams to develop production - ready data platforms and support analytics.
Senior Data Engineer at Solana Foundation collaborating with blockchain engineers on data indexing and pipeline creation. Ensuring efficient data processing and metrics formulation for decentralized applications.
Senior Engineer on Data Platform team designing and building systems for data flow at Movable Ink. Collaborating with engineering, analytics, and infrastructure teams to power data ingestion and processing.
Senior Data Engineer responsible for designing and maintaining event streaming pipelines at Movable Ink. Working with modern technologies to enhance data availability and reliability.