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Looker Developer Jobs (NOW HIRING)

MSR Cosmos

GCP Databricks Architect

Davidson, NC · On-site

$59 - $76/hr

Develop semantic models and dashboards in Looker * Enable selfservice analytics and governance Data Engineering * Build and maintain data workflows using Dataform and Databricks * Implement best ...

NAVA Software Solutions

Sr. BI Engineer

Washington, DC · On-site

Details: Sr. BI Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok ... Work with Business Owners, Data Warehouse teams and Business Intelligence teams [On Looker/Tableau ...

Credence

Lead Analytics Developer

Mclean, VA · On-site

The ideal candidate is an experienced analytics professional with deep experience across modern BI ecosystems (e.g., Google/Looker, Power BI, Tableau, Qlik), strong data engineering foundations, and ...

Credence

Lead Analytics Developer

Dayton, OH · On-site

The ideal candidate is an experienced analytics professional with deep experience across modern BI ecosystems (e.g., Google/Looker, Power BI, Tableau, Qlik), strong data engineering foundations, and ...

Credence

Lead Analytics Developer

Dayton, OH · On-site

The ideal candidate is an experienced analytics professional with deep experience across modern BI ecosystems (e.g., Google/Looker, Power BI, Tableau, Qlik), strong data engineering foundations, and ...

Credence

Lead Analytics Developer

Dayton, OH · On-site

The ideal candidate is an experienced analytics professional with deep experience across modern BI ecosystems (e.g., Google/Looker, Power BI, Tableau, Qlik), strong data engineering foundations, and ...

Storable

Senior DevOps Engineer

$133K - $170K/yr

They are seeking a Senior Data DevOps Engineer to enhance their data platform and automation ... that power Looker dashboards and reports. • Implement observability (logging, monitoring ...

The Maven Group, LLC

BigQuery Developer

Raleigh, NC · Remote

Experience with BigQuery and Looker is required along with as much Google Cloud Platform (GCP ... BigQuery Developer, Support Engineer, Network Visualization Engineer and Ingestion Engineers. All ...

The Maven Group, LLC

BigQuery Developer

Raleigh, NC · On-site

Experience with BigQuery and Looker is required along with as much Google Cloud Platform (GCP ... BigQuery Developer, Support Engineer, Network Visualization Engineer and Ingestion Engineers. All ...

The Maven Group, LLC

BigQuery Developer

Raleigh, NC · Remote

Experience with BigQuery and Looker is required along with as much Google Cloud Platform (GCP ... BigQuery Developer, Support Engineer, Network Visualization Engineer and Ingestion Engineers. All ...

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$134.4K

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How much do looker developer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for looker developer in the United States is $134,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $168,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Looker Developers, and how can they be successfully managed?

Looker Developers often encounter challenges such as transforming complex business requirements into efficient Looker dashboards, ensuring data accuracy, and managing evolving datasets. Staying updated with the latest Looker features and best practices for LookML can help address technical hurdles, while proactive communication with business users is key to clarifying requirements. Collaboration with data engineers and analysts is typically necessary when troubleshooting data quality or modeling issues. By maintaining an organized workflow and seeking ongoing training, Looker Developers can navigate these obstacles and deliver valuable analytics solutions.

What is a Looker Developer job?

A Looker Developer is a data professional responsible for designing, developing, and optimizing data models, dashboards, and reports using Looker, a business intelligence (BI) and data visualization tool. They work closely with data analysts, engineers, and business stakeholders to translate data into actionable insights. Their tasks often include writing LookML, optimizing SQL queries, and ensuring data accuracy and performance. Looker Developers help organizations make data-driven decisions by creating user-friendly visualizations and scalable data solutions.

What are the key skills and qualifications needed to thrive in the Looker Developer position, and why are they important?

To thrive as a Looker Developer, you need expertise in data modeling, SQL, business intelligence concepts, and experience with the Looker platform. Familiarity with tools like LookML, version control systems, and possibly certifications such as Looker Business Analyst or Developer are highly valued. Strong problem-solving abilities, clear communication, and a collaborative mindset are important soft skills in this role. These skills are crucial to effectively transform raw data into actionable insights and support decision-making for diverse business stakeholders.

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Looker Developer jobs near you
Data Scientist (Looker / AI / BI)

Data Scientist (Looker / AI / BI)

Northramp LLC

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Opportunity Overview
Northramp is seeking a Data Scientist to join the team supporting client's Cloud program - a mission-critical effort to consolidate, modernize, and operate client's enterprise cloud services across IaaS, PaaS, and SaaS environments under FedRAMP High authorization.
You will develop analytical models, business intelligence solutions, and AI/ML capabilities that help client derive actionable insight from its enterprise data. The role spans statistical analysis, machine learning, and data visualization - with Looker as the primary BI delivery platform - in support of program operations, resource planning, and mission-critical decision-making.
This role is part of Northramp's integrated 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 at designated 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 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 is actually warranted, and you've delivered BI solutions that get used rather than ignored. You communicate findings clearly to non-technical stakeholders and you operate with rigor around data quality and reproducibility.
Key Responsibilities
  • Design, develop, and maintain LookML data models, Looks, and Looker dashboards that deliver actionable business intelligence to client program 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, or PyTorch) and cloud AI/ML services (Vertex AI, SageMaker, or Azure ML).
  • Conduct exploratory data analysis, statistical modeling, and hypothesis testing to surface patterns and insights in client operational and program data.
  • Develop and maintain feature engineering pipelines, model training workflows, and model serving infrastructure integrated with cloud data platforms and BigQuery.
  • Partner with Data Engineers to define data requirements, validate pipeline outputs, and ensure analytical datasets meet quality and completeness standards.
  • Collaborate with program leadership and client government stakeholders to translate mission requirements into analytical problem definitions and measurable KPIs.
  • Implement responsible AI practices - model explainability, bias assessment, and documentation standards - consistent with federal AI governance frameworks.
  • Build and maintain automated 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.

Requirements
Required Qualifications
  • 3 to 6 years of progressive, hands-on experience in data science or applied analytics with production model deployment experience.
  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
  • Proficiency in Python for data science (pandas, NumPy, scikit-learn, statsmodels) and SQL for data extraction and analysis.
  • Hands-on experience with Looker - LookML modeling, 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 of BigQuery or 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 with MLOps principles: model versioning, experiment tracking (MLflow or Vertex AI Experiments), and deployment pipelines.
  • Understanding of federal AI governance guidance (OMB M-24-10 or equivalent) and FedRAMP data handling requirements.
  • U.S. Citizenship and the ability to obtain and maintain a DHS suitability / Public Trust clearance.

Desired Qualifications
  • Google Cloud Professional Machine Learning Engineer or equivalent AWS/Azure ML certification.
  • Looker certification or demonstrated advanced LookML experience.
  • 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 are required for 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.
About Northramp
Northramp is a federal consulting firm that helps agencies modernize and operate mission-critical systems with sound judgment, disciplined execution, and deep federal experience. We specialize in high-stakes digital 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 operator's mindset to move organizations from strategy to execution with confidence.
We hold high standards because our clients' missions demand it, and we support our people in meeting them. Northramp is where you are challenged, trusted, and supported - a place for people who take pride in their work, value clarity and follow-through, and want to make a meaningful impact through technology.
Equal Opportunity
Northramp is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. Northramp participates in E-Verify.
Benefits
  • 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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