Guidehouse

Business Intelligence Data Developer

Guidehouse

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $113,000 - $188,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureBigQueryCloudGoogle Cloud PlatformLinuxVMware

About the role

  • As a Business Intelligence Data Developer you will be working in a GCP environment bringing strong BigQuery and large data experience
  • Supporting and developing BigQuery BI Platform
  • Designing data models, data transformations, ingestion from external data sources, and creating performant capabilities for dashboarding and reporting needs on the program
  • Expanding existing reporting and analytics functionality and performance
  • Working in a fast-paced innovative environment
  • 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

Requirements

  • 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
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.)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
BigQuerydata modelingdata transformationdata ingestionreportingdata analysisdebuggingAgile methodologyDevOpscloud platforms
Soft skills
team playerinnovative thinkingtroubleshootingcollaborationprioritizationcommunicationproblem-solvingadaptabilitytime managementcustomer focus
Certifications
Public Trust Clearance
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