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Looker Developer Jobs (NOW HIRING)

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 ...

... Python programming, Shell Scripting and Powershell Scripting Identify and implement various ... Experience with Looker Setup and Administration Requirements Architect and develop data models, ETL ...

... Python programming, Shell Scripting and Powershell Scripting Identify and implement various ... Experience with Looker Setup and Administration Requirements Architect and develop data models, ETL ...

... Python programming, Shell Scripting and Powershell Scripting Identify and implement various ... Experience with Looker Setup and Administration Requirements Architect and develop data models, ETL ...

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 ...

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 ...

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Looker Developer information

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$46.5K

$134.4K

$200.5K

How much do looker developer jobs pay per year?

As of Jun 27, 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.

More about Looker Developer jobs
What cities are hiring for Looker Developer jobs? Cities with the most Looker Developer job openings:
What are the most commonly searched types of Looker Developer jobs? The most popular types of Looker Developer jobs are:
What states have the most Looker Developer jobs? States with the most job openings for Looker Developer jobs include:
What job categories do people searching Looker Developer jobs look for? The top searched job categories for Looker Developer jobs are:
Infographic showing various Looker Developer job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 11% Part Time, 11% Temporary, and 6% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $134,438 per year, or $64.6 per hour.

Tableau Developer ( Migration from Looker to Tableau ) Remote

Ruri Software Technologies LLC

Remote

Other

Posted 4 days ago


Job description

Tableau Expert - (Migration from Looker to Tableau)
Job Details
Job Title
Tableau Expert - (Migration from Looker to Tableau)
Department
Business Intelligence / Data Analytics
Employment Type
Contract
Location
Remote
Experience Required
10
Key Responsibilities
Migration & Development
• Migrates existing Looker Pro dashboards, reports, and Looks to Tableau Desktop/Server/Online.
• Re-create LookML models, dimensions, and measures in Tableau using calculated fields, data sources, and extracts.
• Ensure 1:1 parity of KPIs, metrics, and visualizations between Looker Pro and Tableau.
• Develop complex Tableau dashboards with interactivity - filters, parameters, drill-downs, and actions.
• Convert Looker Explore queries into optimized Tableau data connections and custom SQL.
Data & Analytics
• Connect Tableau to various data sources including cloud warehouses (BigQuery, Snowflake, Redshift, etc.).
• Design and optimize data extracts and live connections for performance.
• Build and maintain reusable data sources, calculated fields, and Tableau Prep flows.
• Validate migrated reports against source data to ensure accuracy and consistency.
Stakeholder Collaboration
• Collaborate with business teams to understand reporting requirements and translate them into Tableau solutions.
• Conduct demos and training sessions to help end-users adopt Tableau post-migration.
• Document migration mappings, data lineage, and Tableau best practices.
• Communicate migration progress, blockers, and timelines to project stakeholders.
Governance & Best Practices
• Establish and follow Tableau development standards, naming conventions, and version control practices.
• Manage Tableau Server/Online: publish workbooks, manage permissions, user groups, and schedules.
• Ensure report performance through query optimization and efficient dashboard design.
Required Skills & Qualifications
Tableau (Expert Level - Must Have)
• 5+ years of hands-on experience with Tableau Desktop, Tableau Server, or Tableau Online.
• Proficiency in building complex dashboards with calculated fields, LOD expressions, table calculations, and parameters.
• Strong knowledge of Tableau data connections - live, extract, published data sources.
• Experience with Tableau Prep Builder for data transformation and cleaning.
• Familiarity with Tableau REST API and admin capabilities.
• Ability to optimize dashboards for performance - extract optimization, query reduction, layout best practices.
Looker Pro (Working Knowledge - Must Have)
• Solid understanding of Looker Pro's interface, Explores, Looks, and Dashboards.
• Ability to read and interpret LookML - models, views, dimensions, measures, and explores.
• Experience running Looker queries, extracting data, and analyzing existing report logic.
• Understanding of Looker's data modeling concepts to accurately map them to Tableau equivalents.
Technical Skills
• Strong SQL skills - writing complex queries, CTEs, window functions, and query optimization.
• Experience with cloud data warehouses: BigQuery, Snowflake, Redshift, or Azure Synapse.
• Working knowledge of data modeling concepts (star schema, data marts, aggregations).
• Familiarity with Git or version control for managing workbook/code changes.
Preferred / Nice-to-Have Qualifications
• Tableau Desktop Specialist or Tableau Certified Data Analyst certification.
• Prior experience in a formal BI migration project (tool-to-tool or on-prem to cloud).
• Knowledge of Python or R for data prep or automation scripts.
• Experience with dbt (data build tool) for data transformation.
• Exposure to other BI tools such as Power BI, Qlik, or MicroStrategy.
• Understanding of Agile/Scrum methodology and working in sprint-based teams.
Key Competencies & Soft Skills
• Strong analytical mindset with attention to detail in data accuracy and validation.
Excellent communication skills - ability to explain technical concepts to non-technical stakeholders.
• Self-driven with the ability to manage multiple migration workstreams simultaneously.
• Problem-solving attitude when encountering gaps between Looker and Tableau capabilities.
• Collaborative team player who can work across data engineering, analytics, and business teams.
Regards
Surya
Surya@rurisoft.com