Senior Data Engineer, Business Intelligence

Harris Computer

. Design, build, and support enterprise Data Lake solutions from the ground up .

Posted 9/23/2026full-timeRemote • United States, CanadaSenior💰 $80,000 - $110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building enterprise Data Lakes and Lakehouses, with strong capabilities in developing scalable ETL/ELT solutions and supporting real-time analytics platforms. Proficient in data governance, quality, and lineage processes, while providing technical leadership and mentoring within data engineering teams.

Highest-signal resume keywords

Data Lake DesignETL/ELT DevelopmentReal-Time Analytics PlatformsLinux Environment SupportData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalytics EngineeringBusiness Intelligence EngineeringSQL DevelopmentData ModelingPerformance TuningChange Data CaptureDimensional ModelingData Quality ImplementationAnomaly Detection

Soft Skills

Technical LeadershipMentoringCollaboration

Tools & Technologies

Oracle DatabaseDebeziumKafkaApache FlinkApache IcebergPower BIPrometheusGrafanaVictoriaMetricsStarRocks

Industry Keywords

Data GovernanceData LineageData CatalogingSelf-Service AnalyticsBusiness IntelligenceRegulated Data HandlingObservabilitySite Reliability Engineering

Tech Stack

Tools & technologies

ApacheETLGrafanaKafkaLinuxOraclePrometheusSparkSQL

About the role

Key responsibilities & impact

Design, build, and support enterprise Data Lake solutions from the ground up
Develop scalable ETL solutions and data pipelines
Move and process terabytes of data efficiently
Implement data quality, data governance, metadata, and lineage processes
Develop anomaly detection, monitoring, and alerting capabilities
Support modern Data Lakehouse and real-time analytics platforms
Support large-scale data ingestion, transformation, reconciliation, and backfill processes
Troubleshoot and optimize production data services and distributed analytics platforms
Support production Linux environments and distributed data and analytics platforms
Support enterprise reporting, self-service analytics, and business intelligence solutions
Ensure data platforms handle sensitive and regulated information appropriately
Provide technical leadership, mentor team members, conduct code and design reviews, and contribute to engineering standards and best practices
Report to the DBA and Analytics Manager

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field, or an equivalent combination of education, professional experience, and demonstrated technical expertise
5+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or related discipline
Proven experience designing and building enterprise Data Lakes, Lakehouses, or analytical data platforms
Strong experience developing enterprise ETL/ELT solutions and scalable data pipelines
Experience designing, implementing, and supporting modern Data Lakehouse and real-time analytics platforms using Oracle Database, Debezium, Kafka, Kafka Connect, Apache Flink, Apache Iceberg, Nessie, StarRocks, Spark, Kyuubi, and Power BI
Experience with Change Data Capture (CDC), event-driven architectures, real-time data processing, data cataloging, schema evolution, data versioning, and enterprise-scale ETL/ELT solutions
Experience supporting large-scale data ingestion, transformation, reconciliation, backfill processes, and distributed analytics platforms, including troubleshooting and performance optimization of production data services
Familiarity with observability, monitoring, and Site Reliability Engineering (SRE) practices using Prometheus, VictoriaMetrics, and Grafana
Strong experience supporting production Linux environments (Oracle Linux, RHEL, CentOS, or equivalent), including system administration, systemd-managed services, performance tuning, automation, monitoring, troubleshooting, and operational support of distributed data and analytics platforms
Advanced SQL development, data modeling, and performance tuning skills
Experience with dimensional modeling, semantic-layer design, and analytical data structures
Experience processing and managing large-scale data environments
Hands-on experience implementing data quality, reconciliation, monitoring, and observability frameworks
Experience with metadata management, data lineage, governance, and data cataloging practices
Experience implementing monitoring, alerting, anomaly detection, and operational support processes for production data platforms
Experience supporting enterprise reporting, self-service analytics, and business intelligence solutions that leverage curated datasets, semantic models, and high-performance analytical query engines
Ability to ensure enterprise data platforms and analytics solutions adhere to requirements for handling PII, customer data, confidential business information, and other regulated data types
Ability to provide technical leadership on complex data and analytics initiatives, mentor team members, conduct code and design reviews, and contribute to engineering standards and best practices
Current, valid passport and legal eligibility to travel internationally, including required travel visas or passport-based visa exemption for Canada, the United States, and the Caribbean

Benefits

Comp & perks

3 weeks’ vacation and 5 personal days
Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment
Employee stock ownership
RRSP/401k matching programs
Lifestyle rewards
Remote work