• Design and execute technical processes to migrate data from Oracle (Clarity) to Google BigQuery. • Handle complex schema mappings, specifically resolving incompatibilities between Oracle data types and BigQuery (e.g., handling timestamps, numerics, and character sets). • Troubleshoot pipeline failures related to hardware latency and legacy infrastructure constraints. • Develop automated SQL scripts and testing frameworks to validate data replication accuracy at scale. • Perform deep-dive root cause analysis on data inconsistencies, distinguishing between genuine data errors and artifacts of the conversion process. • Create technical documentation for data lineage and conversion logic. • Optimize SQL queries for performance within the BigQuery environment to manage costs and reduce latency. • Collaborate with Data Analysts to verify business logic and ensure the migrated data meets clinical reporting standards.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description GovCIO is currently hiring for Data Warehousing Specialist (Network Engineer) of Infrastructure Operations. This position will be located within the United States and will be fully remote. - Develop and apply best practices and tools for data ingestion, indexing, and management to optimize data sources and refine data collection processes to capture only pertinent data. - Plan and perform Cribl platform upgrades (Leader, Worker, and Edge nodes) following defined change control procedures. - Manage and optimize the Cribl distributed infrastructure, ensuring scalability, stability, and efficient data routing. - Continuously monitor Cribl performance, including throughput, queue depth, and worker health metrics. - Develop and maintain Cribl pipelines for new data sources, implementing filtering, sampling, and enrichment logic. - Migrate existing Splunk forwarder-based data inputs to Cribl for improved control and flexibility. - Build and maintain Cribl Packs for standardized configurations across multiple environments. - Implement data reduction and enhancement workflows to minimize ingestion volume and improve data quality. - Maintain and enhance Ansible playbooks for automated deployments, configurations, and upgrades. - Integrate GitOps CI/CD pipelines (e.g., GitLab, Jenkins, Terraform) to manage configuration-as-code for both Splunk and Cribl. - Develop, test, and review merge requests related to dashboards, alerts, saved searches, and data onboarding pipelines. - Perform Splunk core upgrades (indexers, search heads, cluster masters, deployers) ensuring backward compatibility and minimal downtime. - Upgrade and validate Splunk Add-ons and Apps, maintaining functionality and CIM compliance. - Develop and maintain custom props, transforms, eventtypes, and lookups to normalize data consistently. - Ensure CIM compliance for all add-ons and sourcetypes used across the platform. - Handle escalations from Operations and perform deep-dive troubleshooting on ingestion, parsing, or performance issues. - Perform break/fix analysis on Splunk core services such as KVStore, clustering, deployment server, and scheduler. - Conduct performance tuning for search optimization, bucket management, and scheduler balancing across SHC. - Design and maintain retention, archival, and index management strategies to align with business and compliance goals. - Manage license allocation, volume forecasting, and capacity planning across indexer clusters. - Develop and maintain monitoring and alerting integrations for Cribl and Splunk infrastructure health. - Collaborate with Operations on incident triage, root cause analysis, and postmortem documentation. - Create and maintain runbooks and engineering guides for deployments, upgrades, and troubleshooting. - Participate in architecture and design discussions to ensure Splunk and Cribl meet enterprise scaling and reliability needs. - Implement security and compliance controls including token rotation, TLS configurations, and secret management via Vault or GCP Secret Manager. - Perform disaster recovery testing and validate replication and failover processes across clusters. - Collaborate with governance teams to align on data retention, anonymization, and privacy requirements. - Support continuous improvement by analyzing ingestion efficiency, performance benchmarks, and automation opportunities. - Lead knowledge-sharing sessions and technical handoffs with Operations for newly deployed features or pipelines. Qualifications - Bachelor's with 13+ years (or commensurate experience) OR - Masters Degree or higher (in a related discipline) with 10 years - Skills in data warehousing and specifically processing of computer generated log data. Requirements - Clearance Required: Must be able to obtain and maintain AOUSC Public Trust Preferred Skills and Experience - Extensive experience with Cribl data engine Benefits - Employee Assistance Program (EAP) - Corporate Discounts - Learning & Development platform, to include certification preparation content - Training, Education and Certification Assistance* - Referral Bonus Program - Internal Mobility Program - Pet Insurance - Flexible Work Environment Company Description GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. Posted Pay Range The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. Posted Salary Range: USD $125,000.00 - USD $140,000.00 /Yr.

• Be responsible for designing, developing, and maintaining large-scale data systems that support advanced analytics and business intelligence initiatives across Mitek. • This role involves building sustainable and scalable data pipelines, processes, and platforms that enable efficient collection, transformation, and analysis of data throughout the organization. • You’ll have a huge impact on how our business operates through building infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, and recent advances in distributed systems (i.e. MapReduce, noSQL databases). • You will work closely with Product Management, Data Analytics, Software Development, and business stakeholders to deliver reliable, high-performing data feeds, enterprise-level reports, and data solutions that support both strategic business decisions and offline machine use cases.

• Manage and implement the data architecture of NextGen Healthcare and external business partner’s automated systems • Support the Life Sciences and Strategic Alliances Group (LSSA) with the management of business metrics and revenue • Monitor the proper operation of business systems • Identify new business systems and features to improve and support new business partners and existing operations • Perform architecture of new business systems and modifications of existing systems • Manage the implementation of new systems and modifications of existing systems • Communicate data system architecture and implementation processes to stakeholders and internal teams • Provide system and process information to leadership to support decision making • Collaborate with internal and external technical business partners to ensure business systems and operations • Perform data and system analysis, assessment, and resolution for defects and incidents of moderate complexity • Assist with the development, support, and implementation of data solutions for multiple applications and products