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Looker Lookml Developer Jobs (NOW HIRING)

Resonance

Data and Analytics Engineer

New York, NY · On-site +1

$125K - $150K/yr

About the Role We're seeking a talented Data and Analytics Engineer to build, maintain, and scale ... Experience with Looker, LookML, and creating intuitive, interactive analytics products.

Tech Holding

Looker Data Engineer (Contract)

We are seeking a Looker Data Engineer for a project-based assignment to support a key client ... Develop and maintain Looker data models, including LookML, models, and explores * Build and ...

Current

Senior Business Intelligence Engineer

New York, NY · On-site

$150K - $205K/yr

Senior Business Intelligence Engineer About Current Current is a leading consumer fintech platform ... Strong experience with Looker / LookML development, visualization, and administration. * Expert ...

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 ... Looker based Dashboards, LookML and reporting requirements across multiple Data warehouses and data ...

McKesson

Sr. Manager, Data Product Management

Irving, TX

$121K - $160K/yr

Partner with Product Management and Engineering to implement LookML fields and indicators aligned ... Experience working with SAP, Snowflake, Looker/LookML, or similar enterprise data ecosystems.

McKesson

Sr. Manager, Data Product Management

Irving, TX

$121K - $160K/yr

Partner with Product Management and Engineering to implement LookML fields and indicators aligned ... Experience working with SAP, Snowflake, Looker/LookML, or similar enterprise data ecosystems.

McLane Company

Sr Business Intelligence Engineer

Temple, TX · Hybrid

$41.25 - $53.50/hr

Looker (LookML), Power BI, Tableau, Cognos. * Hands-on experience with Alteryx, Microsoft Fabric ... Experience working in data engineering/BI environments with modern data stacks. * Strong ...

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Looker Lookml Developer information

What are the key skills and qualifications needed to thrive as a Looker LookML Developer, and why are they important?

To thrive as a Looker LookML Developer, you need expertise in SQL, data modeling, and a strong understanding of business intelligence concepts, often supported by a degree in computer science or a related field. Proficiency in Looker, LookML, and familiarity with data warehouses like BigQuery or Redshift are typically required, and Looker certifications are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate business requirements into actionable data solutions. These skills ensure accurate, scalable data models and empower business users with reliable insights for decision-making.

What are some common challenges Looker LookML Developers face when collaborating with data analysts and business stakeholders?

Looker LookML Developers often encounter challenges in translating business requirements into efficient data models and dashboards. Effective communication is key, as stakeholders may not always be familiar with data structures or technical constraints. Developers must strike a balance between performance optimization and user-friendly reporting while managing version control and documentation in shared environments. Additionally, aligning on data definitions and governance standards is crucial to ensure consistency and accuracy across teams.

What are Looker LookML Developers?

Looker LookML Developers are professionals who specialize in creating and managing data models using LookML, the modeling language for Looker. They design, develop, and optimize data models that transform raw data into accessible, meaningful insights for business users. Their responsibilities typically include defining dimensions, measures, and data relationships, implementing business logic, and ensuring data security within Looker. These developers collaborate closely with data analysts, engineers, and business stakeholders to enable self-service analytics and robust reporting. Their expertise helps organizations make data-driven decisions by leveraging the full capabilities of Looker.

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

AspectLooker Lookml DeveloperData Analyst
Primary RoleDesigns and maintains Looker data models using LookMLAnalyzes data to generate reports and insights
Skills & CertificationsLookML, SQL, data modeling, BI toolsExcel, SQL, data visualization tools
Work EnvironmentData teams, BI departments, cloud-based platformsBusiness units, analytics teams, reporting platforms
Industry UsageTech, finance, e-commerce, any data-driven industryMarketing, finance, operations, business units

While both roles work with data, a Looker Lookml Developer specializes in creating and managing Looker data models using LookML, focusing on data structure and platform configuration. A Data Analyst interprets data to produce reports and insights, often using various tools. The roles are complementary but distinct in scope and technical focus.

Infographic showing various Looker Lookml Developer job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 3% Temporary, and 13% Contract. Highlights an 65% In-person, 3% Hybrid, and 32% Remote job distribution.
Data and Analytics Engineer

Data and Analytics Engineer

Resonance

New York, NY • On-site, Remote

$125K - $150K/yr

Full-time

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.

Job description

About Us

Resonance is transforming the fashion industry by building a more sustainable and valuable ecosystem for designers, brands, manufacturers, consumers, and the planet. Our AI-powered operating system, ONE, empowers brands to design, sell, and make products efficiently and sustainably. Resonance ONE drives end-to-end garment creation with minimal environmental impact, eliminating overproduction and unnecessary inventory.

With headquarters in New York City and Santiago, Dominican Republic, Resonance partners with leading brands-including THE KIT and Rebecca Minkoff-to significantly reduce resource use: 97% less dye, 70% less water, and 50% less material compared to traditional fashion brands.

About the Role

We're seeking a talented Data and Analytics Engineer to build, maintain, and scale our data infrastructure. You'll play a crucial role in shaping our analytical capabilities, enabling Resonance to leverage data-driven insights effectively across our complex, integrated technology stack.

In this role, you'll develop and maintain robust ELT pipelines, transforming data from diverse sources-including telemetry data, Shopify, SendGrid, CreateOne, and other internal platforms-into structured, accessible datasets within Snowflake. Additionally, you'll craft sophisticated LookML models to power interactive analytics, dashboards, and explorers used daily by our business teams.

Responsibilities

  • Design, build, and maintain scalable ELT pipelines that reliably transform raw data from sources such as Shopify, SendGrid, telemetry services, and proprietary applications (CreateOne) into our Snowflake data lake and data warehouses.
  • Create efficient, maintainable data models within Snowflake that serve as the foundation for analytics, reporting, and data-driven decision-making.
  • Develop and refine LookML models, enabling intuitive exploration, dashboards, and actionable analytics for non-technical business users.
  • Collaborate closely with product teams, engineers, and business stakeholders to identify data needs, gather requirements, and deliver high-impactdata solutions.
  • Continuously improve data quality, governance, and accessibility, implementing best practices for data management and compliance.
  • Proactively monitor and optimize ELT performance, reliability, and cost-effectiveness.
  • Stay updated on the latest data engineering technologies, approaches, and analytics tools to ensure Resonance maintains industry-leading capabilities.

Requirements

Minimum Qualifications

  • 4+ years of relevant experience in data engineering, analytics engineering, or a related field.
  • Strong proficiency in building robust ELT/ETL data pipelines using modern tools and practices.
  • Hands-on experience with Snowflake or similar cloud data warehousing platforms.
  • Proficiency with SQL and database modeling techniques for analytics.
  • Experience building analytics layers and semantic models (LookML strongly preferred; experience with similar BI tools like dbt or Tableau considered).
  • Familiarity integrating data from external sources such as Shopify, SendGrid, or other SaaS platforms.
  • Strong analytical mindset, problem-solving capabilities, and attention to detail.
  • Excellent collaboration and communication skills in remote, cross- functional environments.

Preferred Qualifications

  • Previous startup or rapid-growth environment experience.
  • Advanced knowledge of Snowflake performance optimization and cost management.
  • Experience with Looker, LookML, and creating intuitive, interactive analytics products.
  • Familiarity with Python scripting for data pipelines and automation.
  • Interest or experience in sustainability, e-commerce, fashion-tech, or manufacturing domains.

Benefits

We offer comprehensive benefits (medical, dental, and vision), competitive salary, equity participation, and remote work flexibility.

Resonance Companies is an equal opportunity employer committed to diversity, inclusion, and innovation. All employment decisions are based solely on qualifications, merit, and business need.

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