Senior Data Engineer, Business Intelligence

🔥 13 hours ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🏄 California, Florida, +8 more states – Remote

🏄 California – Remote 🐊 Florida – Remote 🗻 New Hampshire – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote

💵 $80k - $110k / year

⏰ Full Time

🟠 Senior

📊 Business Intelligence Developer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Harris Computer

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1976

🏥 Healthcare

Healthcare

Harris Computer is a subsidiary of Constellation Software, Inc. , specializing in mission-critical software solutions. The company serves a diverse range of sectors including the Public Sector, Healthcare, Utilities, and Private Sector, providing tailored software for various needs across North America, Europe, Asia, and Australia.

📋 Description

• 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

• 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

• 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