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

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building enterprise Data Lakes and scalable ETL solutions, with a strong focus on data quality, governance, and performance optimization. Proven ability to provide technical leadership and mentor team members in complex data and analytics initiatives.

Highest-signal resume keywords

Data Lake DesignETL/ELT Solutions DevelopmentOracle Database ExperienceAdvanced SQL DevelopmentData Governance Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalytics EngineeringBusiness Intelligence EngineeringData ModelingPerformance TuningChange Data CaptureReal-Time Data ProcessingDimensional ModelingData Quality FrameworksAnomaly Detection

Soft Skills

Technical LeadershipMentoringCode ReviewCollaboration

Tools & Technologies

Apache KafkaApache FlinkApache IcebergPower BIPrometheusGrafanaVictoriaMetricsDebeziumStarRocksKyuubi

Industry Keywords

Data GovernanceData LineageData CatalogingObservabilitySite Reliability EngineeringEvent-Driven ArchitecturesDistributed AnalyticsLarge-Scale Data EnvironmentsPII ComplianceOperational Support

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
Provide technical leadership on complex data and analytics initiatives
Mentor team members and conduct code and design reviews
Contribute to engineering standards and best practices
Support production data and analytics platforms, including troubleshooting and performance optimization

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 with 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
Familiarity with observability, monitoring, and Site Reliability Engineering (SRE) practices using Prometheus, VictoriaMetrics, and Grafana
Strong experience supporting production Linux environments, including system administration, systemd-managed services, performance tuning, automation, monitoring, troubleshooting, and operational support
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
Experience supporting enterprise reporting, self-service analytics, and business intelligence solutions
Ability to ensure platforms adhere to requirements for handling PII, customer data, confidential business information, and regulated data
Ability to provide technical leadership, mentor team members, conduct code and design reviews, and contribute to engineering standards
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 and RRSP/401k matching programs
Lifestyle rewards
Remote work and more!