(Remote) Senior Data & Business Intelligence Engineer

Posted 2 Hours Ago
17 Locations
Remote
80K-110K Annually
Senior level
Healthtech
The Role
Build and support enterprise data lakes, lakehouses, ETL/ELT pipelines, streaming platforms, and business intelligence solutions. Responsibilities include processing large-scale data, implementing data quality, governance, metadata, lineage, monitoring, anomaly detection, and observability frameworks, and supporting production Linux-based distributed data platforms. The role also provides technical leadership, mentorship, code and design reviews, performance optimization, and support for secure handling of sensitive information.
Summary Generated by Built In

Systems & Software, a division of Harris; is seeking a Senior Data and Business Intelligence Engineer who will join the S&S Data Platform & Analytics team.


We are a data-driven organization committed to leveraging information as a strategic asset to improve decision-making, operational efficiency, and business performance of our utility customers. Our Analytics team partners with stakeholders across the organization to develop scalable data solutions that deliver trusted insights and drive measurable customer value.


As we continue to invest in our modern data platform, we are seeking a Senior Data and Business Intelligence Engineer to play a key role in building and evolving our enterprise analytics ecosystem.


The successful candidate will report to the DBA and Analytics Manager.


This remote role welcomes 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. This includes either passport based visa exemption or possession of any required travel visas for entry into Canada, the United States, and the Caribbean. Preference will be given to candidates who can work in EST timezone.


Salary:

80K - 110K



AI & Innovation Mindset

We are committed to leveraging emerging technologies to improve how we work, serve our customers, and drive business outcomes. The successful candidate will demonstrate curiosity and a willingness to actively adopt and leverage AI tools to improve workflows, solve problems, and increase efficiency. Candidates should be comfortable using AI enabled technologies, including copilots, chat based AI assistants, and automation tools, as part of their everyday work while maintaining appropriate judgment, security, and compliance standards.


What your impact will be:

  • 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.

What we are looking for:

  • 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.

What would make you stand out:

  • 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.

What we can offer:

  • 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!

About Systems & Software:

Systems & Software, a subsidiary of Harris Computer and part of Constellation Software, has been serving utilities and municipalities since 1973. Headquartered in Vermont, the company provides the enQuesta CIS platform to manage billing and utility operations for electric, water, gas, wastewater, solid waste, and property taxes. Our solutions enable utilities to manage complex rate structures, streamline operations, and enhance customer service, all without the need for custom code or disconnected systems. With cloud-based deployment, SOC 2 Type II certification, and interoperability with meter data systems, GIS, and financial tools, Systems & Software delivers stability, security, and flexibility that utilities can trust. Our commitment to ongoing investment ensures continuous innovation and a strong partnership with our customers across North America.


About Harris:

Harris is a leading provider of mission critical software to the public sector in North America. As a wholly owned subsidiary of Constellation Software Inc. (“CSI”, symbol CSU on the TSX), Harris has become the cornerstone for CSI’s investment in utility, local government, school districts, public safety, and healthcare software verticals. Our success has been realized through investments in our proprietary software and market expertise. This focus, combined with acquiring businesses that build upon or complement our offerings, has helped drive our success. Harris will continue to growth through reinvestment – both in the people and products that we offer and making investments in acquiring new businesses.


#LI-remote

Skills Required

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, a related field, or equivalent education and professional experience
  • 5+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or a related discipline
  • 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 modern data lakehouse and real-time analytics technologies, including Oracle Database, Debezium, Kafka, Apache Flink, Apache Iceberg, Nessie, StarRocks, Spark, Kyuubi, and Power BI
  • Experience with change data capture, event-driven architectures, real-time data processing, data cataloging, schema evolution, data versioning, and enterprise-scale ETL/ELT
  • Experience supporting large-scale data ingestion, transformation, reconciliation, backfill processes, and distributed analytics platforms
  • Experience troubleshooting and optimizing production data services and distributed analytics platforms
  • Familiarity with observability, monitoring, and SRE practices using Prometheus, VictoriaMetrics, and Grafana
  • Strong experience supporting production Linux environments, including system administration, systemd services, performance tuning, automation, monitoring, and troubleshooting
  • Advanced SQL development, data modeling, and performance tuning skills
  • Experience with dimensional modeling, semantic-layer design, and analytical data structures
  • 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, semantic models, and analytical query engines
  • Ability to support secure handling of PII, customer data, confidential business information, and regulated data
  • Ability to provide technical leadership, mentor team members, conduct code and design reviews, and develop engineering standards
  • Current valid passport and legal eligibility to travel internationally

Harris healthcare Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harris healthcare and has not been reviewed or approved by Harris healthcare.

  • Leave & Time Off Breadth PTO and paid holidays are characterized as generous, with ample time off emphasized. This breadth of time-off options is highlighted alongside favorable impressions of vacation and sick leave.
  • Flexible Benefits Remote-work flexibility and trust to work from home are emphasized, indicating adaptable arrangements for many roles. Flexibility is positioned as a tangible part of the overall package.
  • Healthcare Strength Core coverage includes medical, dental, and vision, along with life and disability insurance and HSA/FSA options. Health plans are often characterized as good, contributing to a solid foundational offering.

Harris healthcare Insights

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The Company
HQ: Niagara Falls, New York
185 Employees
Year Founded: 1993

What We Do

For over 25 years, Harris Healthcare has been rising to the challenge of bringing together the most innovative and sustainable solutions for today’s ever-changing healthcare environment, in order to improve patient care and safety. Each one of our solutions brings organizational efficiencies on its own. Powerful synergies are achieved when multiple solutions are implemented together. The Harris Healthcare portfolio includes the following solutions: ♦ HARRIS Flex - an enterprise-level EHR solution that improves patient safety and clinical workflows. It includes a full complement of applications integrated in one single database, provides solid clinical decision support to your clinicians and helps standardize care while enforcing protocols and best practices at any Healthcare Organization. HARRIS Flex conveys the digital solution’s flexibility and strength. Healthcare organizations are continuously faced with new challenges and situations and require flexible EHR’s that can be rapidly adapted to their evolving clinical practice. Contrary to other EHR solutions which are inflexible and where customizations require costly support from the vendor, HARRIS Flex gives you the freedom to "flex" your EHR as you need it entirely on your own. The enhanced HARRIS Flex solution comes with new functionality including: ♦Flex Telehealth which enables virtual visits directly from within the EHR/EPR, and ♦Flex Clinical Insight which facilitates extraction and analysis of your EHR/EPR data to improve your processes and outcomes. ♦ SynergyCheck – a proactive interface monitoring solution watching over Clinical, Financial and other interfaces 24/7 to ensure data is flowing between systems

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