ZipRecruiter

Log In

1

Senior Looker Developer Jobs in Georgia (NOW HIRING)

QGenda

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform ... Looker, Tableau, Power BI, etc. * DevOps: Git, CI/CD, Terraform/CloudFormation Not Required, But ...

Accenture

Google Data Specialist

Atlanta, GA · On-site

$70K - $196K/yr

Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ... Looker. * Exposure to AI/ML development or experimentation with Vertex AI, Gemini models ...

QGenda

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform ... Looker, Tableau, Power BI, etc. * DevOps: Git, CI/CD, Terraform/CloudFormation Not Required, But ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

We are looking for Senior Machine Learning Engineer who may be looking to make the move to a big ... Business intelligence tools (e.g., Tableau, Knime, Looker) * Data security and privacy (e.g. GDPR ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

We are looking for Senior Machine Learning Engineer who may be looking to make the move to a big ... Business intelligence tools (e.g., Tableau, Knime, Looker) * Data security and privacy (e.g. GDPR ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

We are looking for Senior Machine Learning Engineer who may be looking to make the move to a big ... Business intelligence tools (e.g., Tableau, Knime, Looker) * Data security and privacy (e.g. GDPR ...

Harver

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Query and analyze data using Looker and SQL from internal databases * Collaborate with Data ... Collaborate with a senior team of data scientists and engineers * Contribute to cutting-edge work ...

Warnerbros

Sr Technical Product Manager

Atlanta, GA

$121K - $160K/yr

... engineering, design, data science, and business stakeholders to define strategy, prioritize ... Looker, or Tableau. * Preferred: Background in streaming media, entertainment, or consumer ...

The Weather Company

Senior Product Analyst

Atlanta, GA · On-site

Collaborate with engineering to validate that event instrumentation is firing correctly before and ... Experience with data visualization tools such as Preset, Looker, or Tableau, and familiarity with ...

Reserv, Inc.

Sr. Data Analyst - Transport

Atlanta, GA · On-site +1

$82K - $104K/yr

... our engineering and operations teams. If you are ready to help shape the vision for Reserv ... Python (Pandas to NLTK), Postgres/dbt, Looker, Excel, etc. * Lead client calls through technical ...

next page

Showing results 1-20

All JobsLooker Developer JobsSenior Looker Developer JobsSenior Looker Developer Jobs in Georgia

Senior Looker Developer information

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

To thrive as a Senior Looker Developer, you need advanced experience in data modeling, SQL, and business intelligence concepts, typically supported by a bachelor’s degree in computer science or a related field. Expertise with Looker’s LookML language, dashboard development, and integration with SQL databases is essential, as are certifications in Looker or other BI tools. Strong analytical thinking, problem-solving, and clear communication skills help you understand business requirements and deliver actionable insights. These skills ensure you can build scalable, efficient data solutions that drive informed decision-making across the organization.

What is a Senior Looker Developer?

A Senior Looker Developer is a data professional responsible for designing, building, and optimizing business intelligence solutions using Looker, a data analytics and visualization platform. They create data models, develop dashboards, and ensure that data is accessible and accurate for business users. Senior Looker Developers often collaborate with data engineers, analysts, and business stakeholders to translate business requirements into actionable insights. Their expertise includes LookML (Looker's modeling language), SQL, and best practices for data visualization and reporting. They also mentor junior developers and help drive the adoption of data-driven decision-making within organizations.

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

AspectSenior Looker DeveloperData Analyst
Required CredentialsExperience with Looker, SQL, data modelingStatistical or data analysis degrees, Excel, SQL
Work EnvironmentData teams, BI departments, technical rolesBusiness units, reporting teams, cross-functional
Employer & Industry UsageTech, finance, retail, healthcareMarketing, finance, operations, consulting
Common Search & ComparisonFocus on BI tools, data modeling, dashboardsFocus on data interpretation, reporting, insights

The main difference is that a Senior Looker Developer specializes in building and maintaining Looker dashboards and data models using Looker and SQL, while a Data Analyst focuses on interpreting data, generating reports, and providing insights across various tools. Both roles require strong SQL skills, but the Senior Looker Developer is more technical and platform-specific, whereas the Data Analyst emphasizes data interpretation and business understanding.

What are some common challenges faced by Senior Looker Developers when working on large-scale BI projects?

Senior Looker Developers often encounter challenges such as optimizing complex data models for performance, managing version control in Looker projects, and ensuring data consistency across multiple sources. Collaborating with data engineers, analysts, and business stakeholders to translate business requirements into effective LookML code can also be demanding. Staying current with Looker updates and best practices is essential to deliver scalable, maintainable solutions that meet evolving organizational needs.
What are the most commonly searched types of Looker Developer jobs in Georgia? The most popular types of Looker Developer jobs in Georgia are:
What are popular job titles related to Senior Looker Developer jobs in Georgia? For Senior Looker Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Senior Looker Developer jobs in Georgia look for? The top searched job categories for Senior Looker Developer jobs in Georgia are:
What cities in Georgia are hiring for Senior Looker Developer jobs? Cities in Georgia with the most Senior Looker Developer job openings:
Senior Looker Developer jobs near you
Senior Data Engineer

Senior Data Engineer

QGenda

Atlanta, GA • Hybrid

$101K - $138K/yr

Other

Posted 22 days ago

Job description

About Your Role 

As a Senior Data Engineer, you will design, build, and optimize the data platform, including pipelines, models, and infrastructure that power analytics, reporting, and data-driven decision making across the QGenda product lines. You will serve as a technical leader with the team, contributing to architectural direction, driving best practices, and supporting complex data initiatives. This role requires deep technical expertise, strong cross-functional collaboration, and the ability to deliver scalable, high-performing data systems that meet evolving business needs.

How You'll Make an Impact 

Deliver High-Quality, Scalable Data Engineering Solutions

  • Architect, develop, test, and maintain ELT/ETL pipelines and data workflows supporting high-volume analytics
  • Implement advanced data processing solutions and observability techniques to ensure data is accurate, fresh, and reliable
  • Design and refine data models and semantic layers that support analytical self-service and advanced reporting.
  • Build data visualizations and dashboards supporting analytics use cases

Strengthen Data Engineering Practices and Technical Standards

  • Translate complex business and analytics requirements into efficient, scalable data solutions
  • Apply best practices for version control, documentation, CI/CD, Infrastructure as Code, and data governance
  • Participate in code reviews, identify opportunities for architectural improvement,, and contribute to continuous improvement efforts

Collaborate Across Teams

  • Partner with data engineers, DBAs, managers, and business stakeholders to deliver high-impact data products
  • Provide technical guidance, informal mentorship, and support to other engineers in order to elevate team capabilities
  • Communicate technical decisions, risks, and recommendations to both technical and non-technical audiences

Drive Technical Excellence

  • Optimize data pipelines and warehouse performance for speed, cost, and scalability
  • Evaluate, prototype, and influence adoption of new tools, frameworks, and architectural patterns that enhance the data platform
  • Contribute to data observability, incident response, and root-cause analysis for complex data issues
  • Design and deliver AI-ready data products, ensuring data structures, metadata, and pipelines are suitable for natural language processing, predictive analytics, and other AI-driven capabilities
Who You Are
  • Exceptional analytical, problem solving, and debugging skills
  • Strong communication with the ability to simplify and articulate technical concepts
  • Ability to work collaboratively, influence architecture, and take ownership of deliverables
  • Commitment to quality, reliability, and continuous improvement
Experience You Bring 
  • 5-7+ years in data engineering/analytics engineering, or related field
  • Bachelor's degree specializing in computing, data engineering, or related discipline
  • Expertise in distributed data processing, data modeling, and performance tuning
  • Strong proficiency in SQL and Python
  • Experience with modern data stack components, such as:
    • Cloud: AWS, GCP, Azure
    • Warehouses: Snowflake, Redshift, BigQuery, etc.
    • Orchestration: Airflow, MWAA, Composer, etc.
    • Transformation: dbt, etc.
    • Observability: data lineage/monitoring tools
    • BI: Looker, Tableau, Power BI, etc.
    • DevOps: Git, CI/CD, Terraform/CloudFormation
Not Required, But Nice to Have 
  • Experience preparing datasets and data structures for AI/ML use cases, including NLP-driven analytics
  • Experience with Glue, Dataflow

#LI-Hybrid

Apply