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Google Looker Developer Jobs (NOW HIRING)

Google Cloud Professional Machine Learning Engineer or equivalent AWS/Azure ML certification. * Looker certificationor demonstratedadvancedLookMLexperience. * Security+ or equivalent certification.

Details: Sr. BI Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok ... Have experience with Google Looker or Equivalent, Interfacing with Big Query or Equivalent, to ...

Senior Data Engineer

$108K - $147K/yr

... Google Looker, Tableau, or similar tools. * Experience with CI/CD tools (e.g., GitLab, Azure DevOps, Jenkins) and data pipeline monitoring tools (e.g., Airflow, Apache NiFi, Azure Data Factory)

Google Looker/Sheets and Microsoft Power Platform (Power Apps / Power Automate) * Google Drive and Microsoft OneDrive * Manage business teams and developers with: * Site and environment provisioning

New

Google Looker/Sheets and Microsoft Power Platform (Power Apps / Power Automate) * Google Drive and Microsoft OneDrive * Manage business teams and developers with: * Site and environment provisioning

New

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Google Looker Developer information

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How much do google looker developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for google looker developer in the United States is $45.29, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $54.81 per hour, depending on experience, location, and employer.

What is the difference between Google Looker Developer vs Data Analyst?

AspectGoogle Looker DeveloperData Analyst
Primary RoleDesigns and develops data visualizations and dashboards using LookerAnalyzes data to identify trends and generate reports
Required SkillsLooker platform expertise, SQL, data modelingData analysis, Excel, SQL, reporting tools
CertificationsLooker certifications, SQL knowledgeData analysis certifications (e.g., Microsoft, Tableau)
Work EnvironmentData teams, BI departments, cloud-based platformsBusiness units, analytics teams, reporting environments

Google Looker Developers focus on creating data visualizations and dashboards using Looker, requiring expertise in Looker and SQL. Data Analysts analyze data to generate insights and reports, often using various tools. While both roles work with data, Looker Developers specialize in visualization development, whereas Data Analysts focus on data interpretation and reporting.

What is the salary of Google Looker developer?

The salary of a Google Looker developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Senior roles or those in high-cost areas may offer higher compensation, and proficiency in SQL and data visualization tools can influence salary levels.
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Cities with the most Google Looker Developer job openings:

What states have the most Google Looker Developer jobs?

States with the most job openings for Google Looker Developer jobs include:

What are popular job titles related to Google Looker Developer jobs?

For Google Looker Developer jobs, the most frequently searched job titles are:

Infographic showing various Google Looker Developer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $94,200 per year, or $45.3 per hour.

Data Scientist (Looker/AI/BI)

Bethesda, MD โ€ข On-site

Northramp LLC
IT Servicesย โ€ขย 11 - 50 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Opportunity Overview

Northrampis seeking a Data Scientist to join the team supporting a mission-critical effort toconsolidate, modernize, andoperateour client'senterprise cloud services across IaaS, PaaS, and SaaS environments.

You will develop analytical models, business intelligence solutions, and AI/ML capabilities that helpthe clientderive actionable insight fromitsenterprise data. The role spans statistical analysis, machine learning, and data visualization โ€” with Looker as the primary BI delivery platform โ€” in support of program operations, resource planning, and mission-critical decision-making.

This role is part ofNorthrampโ€™sintegrated delivery model, where engineers and advisors work as one team to bring sound judgment, disciplined execution, and deep federal experience to high-stakes modernization programs.

Location & Work Arrangement

Hybrid, based in the Washington, DC metro area. On-site presence atdesignated client locations is expected on a cadence aligned to program needs. Remote work is supported around mission and security requirements. This role is not open to candidates outside the DC, Maryland, Virginia region.

The Ideal Candidate

You turn data into decisions that program managers and agency leaders actually act on.You know when to reach for a simple statistical model and when the complexity of ML isactually warranted, andyouโ€™vedelivered BI solutions that get used rather than ignored. You communicate findings clearly to non-technicalstakeholdersand youoperatewith rigor around data quality and reproducibility.

Key Responsibilities
  • Design, develop, and maintainLookMLdata models, Looks, and Looker dashboards that deliver actionable business intelligence toclientprogram stakeholders and leadership.
  • Build and deploy machine learning models for classification, prediction, anomaly detection, and natural language processing use cases using Python (scikit-learn, TensorFlow, orPyTorch) and cloud AI/ML services (Vertex AI, SageMaker, or Azure ML).
  • Conduct exploratory data analysis, statistical modeling, and hypothesis testing to surface patterns and insightsinclientoperational and program data.
  • Develop andmaintainfeature engineering pipelines, model training workflows, and model serving infrastructure integrated with cloud data platforms andBigQuery.
  • Partner with Data Engineers to define data requirements,validatepipeline outputs, and ensure analytical datasets meet quality and completeness standards.
  • Collaborate with program leadership andclientgovernment stakeholders to translate mission requirements into analytical problem definitions and measurable KPIs.
  • Implement responsible AI practices โ€” model explainability, bias assessment, and documentation standards โ€” consistent with federal AI governance frameworks.
  • Build andmaintainautomated reporting and alerting workflows that surface operational metrics and anomalies to the right stakeholders at the right time.
  • Document data science methodologies, model assumptions, validation results, and performance metrics to support ATO and audit requirements.
  • Mentor junior analysts and support adoption of data-driven practices across the delivery team.
Required Qualifications
  • 3 to 6 years of progressive, hands-on experience in data science or applied analytics with production model deployment experience.
  • Bachelorโ€™s orMasterโ€™s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
  • Proficiencyin Python for data science (pandas, NumPy, scikit-learn,statsmodels) and SQL for data extraction and analysis.
  • Hands-on experience with Looker โ€”LookMLmodeling, dashboard development, and content management.
  • Experience training,validating, and deploying machine learning models in cloud environments (Vertex AI, SageMaker, or Azure ML).
  • Strong grounding in statistical methods: regression, classification, time series analysis, and A/B testing.
  • Working knowledge ofBigQueryor equivalent cloud data warehouses for large-scale analytical workloads.
  • Experience with data visualization best practices and BI tooling beyond Looker (e.g., Tableau, Power BI, or Google Looker Studio).
  • Familiarity withMLOpsprinciples: model versioning, experiment tracking (MLflowor Vertex AI Experiments), and deployment pipelines.
  • Understanding offederal AI governance guidance (OMB M-24-10 or equivalent) and FedRAMP data handling requirements.
  • U.S. Citizenship and the ability to obtain andmaintaina DHS suitability / Public Trust clearance.
Desired Qualifications
  • Google Cloud Professional Machine Learning Engineer or equivalent AWS/Azure ML certification.
  • Looker certificationor demonstratedadvancedLookMLexperience.
  • Security+ or equivalent certification.
  • Experience with NLP, computer vision, or generative AI application development.
  • Federal data science or analytics program experience.
  • Active Public Trust or higher clearance.
Clearance

DHS suitability and a Public Trust background investigation arerequiredfor this role. Active Public Trust or higher clearance is preferred. Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to controlled or classified information.

AboutNorthramp

Northrampis a federal consulting firm that helps agencies modernize andoperatemission-critical systems with sound judgment, disciplined execution, and deep federal experience. We specialize in high-stakesdigital transformation in highly regulated environments where failure is not an option. Our integrated delivery model brings engineers and advisors together as one team, combining technical depth with an operatorโ€™s mindset to move organizations from strategy to execution with confidence.

We holdhigh standardsbecause our clientsโ€™ missions demand it, and we support our people in meeting them.Northrampis where you are challenged, trusted, and supported โ€” a place for people who take pride in their work, valueclarityand follow-through, and want to make a meaningful impact through technology.

Equal Opportunity

Northrampis an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminateon the basis ofrace, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law.Northrampparticipates in E-Verify.

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Wellness Resources
  • Employee Bonus Programs
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