(Remote) Senior Data & Business Intelligence Engineer
About The Position
Systems & Software, a division of Harris, is seeking a Senior Data and Business Intelligence Engineer to join the S&S Data Platform & Analytics team. This is a data-driven organization committed to leveraging information as a strategic asset to improve decision-making, operational efficiency, and business performance for its utility customers. The Analytics team partners with stakeholders across the organization to develop scalable data solutions that deliver trusted insights and drive measurable customer value. As the company continues to invest in its modern data platform, this role will play a key part in building and evolving the enterprise analytics ecosystem. The successful candidate will report to the DBA and Analytics Manager. This is a remote role open to candidates anywhere in Canada and the US. Travel is required as needed, approximately 1-2 times per year to Vermont/Customer Site/Some other destinations. Candidates must hold a current, valid passport and be legally eligible to travel internationally. Preference will be given to candidates who can work in the EST timezone. Salary: 80K - 110K. The role emphasizes an AI & Innovation Mindset, encouraging the use of emerging technologies and AI tools to improve workflows, solve problems, and increase efficiency, while maintaining appropriate judgment, security, and compliance standards.
Requirements
- 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 technologies such as Oracle Database, Debezium, Kafka, Kafka Connect, Apache Flink, Apache Iceberg, Nessie, StarRocks, Spark, Kyuubi, and Power BI.
- Experience building scalable, reliable data pipelines that support both batch and streaming data workloads is highly desirable.
- 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 technologies such as 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.
- Ensure enterprise data platforms and analytics solutions adhere to organizational requirements for the handling of sensitive information, including PII, customer data, confidential business information, and other regulated data types.
- Demonstrated ability to provide technical leadership on complex data and analytics initiatives, mentor team members, conduct code and design reviews, and contribute to the development of engineering standards and best practices.
Nice To Haves
- Strong preference will be given to candidates with experience supporting modern Data Lakehouse architectures utilizing Oracle Database CDC, Debezium, Kafka, Flink, Apache Iceberg, Nessie, StarRocks, Spark, Prometheus, VictoriaMetrics, and cloud-native data platforms.
- Experience supporting real-time analytics, event-driven architectures, data observability, and large-scale distributed systems is highly desirable.
Responsibilities
- 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.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
