Senior Data Engineer, Business Intelligence

🔥 12 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.

👻 Ghost score 0%

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Harris Computer

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Harris Computer is a company that provides mission-critical software solutions across various industries, including the public sector, healthcare, utilities, and private sector verticals. They focus on acquiring businesses with growth potential, managing them effectively, and building them for future success. Harris Computer serves over 100,000 customers with a global presence in North America, Europe, Asia, and Australia, employing over 12,000 people. Their mission is to empower customers to deliver on their goals by offering tailored software and services.

📋 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 Linux environments and operational services for data and analytics platforms • Support enterprise reporting, self-service analytics, and business intelligence solutions • Ensure platforms handle sensitive and regulated data according to organizational requirements • Provide technical leadership, mentor team members, conduct code and design reviews, and develop engineering 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 with Oracle Database, Debezium, Kafka, Kafka Connect, Apache Flink, Apache Iceberg, Nessie, StarRocks, Spark, Kyuubi, and Power BI • Experience with batch and streaming data workloads • 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 compliance with requirements for handling PII, customer data, confidential business information, and other regulated data • Ability to provide technical leadership, 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 visa exemption for Canada, the United States, and the Caribbean • Preference for candidates who can work in EST timezone

🏖️ 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