Guidehouse · 2 months ago
Business Intelligence Data Developer
Guidehouse is a professional services firm that provides consulting, technology, and managed services. The Business Intelligence Data Developer will work in a GCP environment, focusing on BigQuery and large data, while supporting and developing the BigQuery BI Platform and enhancing reporting and analytics capabilities.
AdviceConsultingManagement Consulting
Responsibilities
Design and maintain new data models within BigQuery
Collaborate with data team to migrate existing transformations, data warehouse, and reporting from legacy tools to BigQuery, and Looker
Leverage GitLab and pipelines to promote and deploy artifacts
Work with report developers and data scientists to support team needs for BigQuery/DataForm and Looker product development
Document technical improvements, and structures
Leverage UI/UX designs and incorporate them into development efforts
Work closely with a team of systems, data, and analytics-oriented individuals
Work with data, development, and systems architects
Review vulnerability scans and remediate vulnerabilities in addition to participating in periodic security audits
Coordinate with multiple teams to continually improve the delivery of products to customers
Maintain and drive the modernization of legacy applications, tools, and systems
Design, implement, and ensure quality and security controls are met
Prioritize work based on customer priorities and complete tickets in a timely manner
Qualification
Required
US Citizenship and the ability to obtain and maintain a federal Public Trust Clearance
6+ Years of IT experience
Experience within the Google BigQuery (primary) or equivalent (Snowflake, DataBricks) environments
BI Tool Depth; such as Power BI, Domo, Looker, Qlik, Sisense
Ability to analyze, troubleshoot, and resolve large data issues in a complex data environment
Strong GCP Experience
Experience with Linux (RHEL preferred)
Debugging experience (code, script, database)
Team player that fully embraces innovative thinking, eliminating barriers, and DevOps culture
VMware or VirtualBox experience
Bitbucket (Git) experience
Hands on experience with BigQuery deployment environments
Experience in working with cloud platforms (AWS, Google Cloud, Azure, etc.)
Hands on experience with BigQuery and Looker BI Tools (or Power BI)
Experience with Agile methodology, working within a Scrum framework
Preferred
PostgreSQL or equivalent (MySQL, MS SQL Server, Oracle) on Linux (preferred)
SQL query optimization (analyzing explain plans, index management)
Experience with Cloud Storage
GCP Certification
Experience in supporting and maintaining Looker environments
Test data generation and database benchmarking experience
Large scale data experience
NoSQL Database management (Mongo DB) experience
Experience with containerization (Docker)
Nexus - Artifact Repository experience
Understanding of security scanning/vulnerability remediation (Nessus, Retina, etc.)
Benefits
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus
Company
Guidehouse
Guidehouse offers consulting services for public and commercial markets with expertise in management, technology, and risk consulting.
Funding
Current Stage
Late StageTotal Funding
$0.75MKey Investors
Mission Daybreak
2023-11-06Acquired
2023-02-16Grant· $0.75M
Recent News
Washington Technology
2026-01-09
Washington Technology
2025-11-20
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