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Google Looker Developer Jobs in Virginia (NOW HIRING)

Ampcus Inc

AI Program Coordinator

Chantilly, VA · On-site

... to appropriate engineering or data science teams. • Monitor program KPIs and SLAs (model ... Google Slides); experience building simple dashboards (Power BI, Tableau, or Looker) a plus. • ...

Interon IT Solutions

GCP Data Architect

Chantilly, VA · On-site

$65.25 - $84/hr

Experience with dbt, Looker, Data Catalog, Apigee, Cloud Run, or Vertex AI. * Experience ... Google Professional Cloud Architect or Professional Data Engineer certification.

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Google Looker Developer information

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

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The top searched job categories for Google Looker Developer jobs in Virginia are:

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Google Looker Developer jobs near you

Google Cloud Platform Data Engineer

Interon IT Solutions LLC

Chantilly, VA • On-site

$117K - $140K/yr

Other

Posted 4 days ago

Job description

#W2 role

Role: Senior Google Cloud Platform Data Engineer
Location:Remote
Experience: 8+ years

Job Description

Our client is looking for an experienced Google Cloud Platform Data Engineer to build and support cloud-based data solutions for healthcare, pharmacy, claims, member, and operational data.

This is a hands-on development role. The engineer will work with architects, analysts, product owners, and other engineering teams to build reliable batch and real-time data pipelines on Google Cloud Platform.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Google Cloud Platform services.

  • Build batch and streaming solutions using Dataflow, Pub/Sub, BigQuery, Cloud Storage, Dataproc, and Cloud Composer.

  • Develop data-processing applications using Python, SQL, Spark, and Apache Beam.

  • Create BigQuery tables, views, stored procedures, and data models.

  • Apply partitioning and clustering strategies to improve BigQuery performance and cost.

  • Ingest and transform healthcare, pharmacy, claims, member, provider, and operational data.

  • Build data validation, reconciliation, error-handling, and monitoring processes.

  • Troubleshoot pipeline failures, data-quality issues, and performance problems.

  • Support data migration from legacy and on-premises platforms to Google Cloud Platform.

  • Protect PHI, PII, and other sensitive information using appropriate security and access controls.

  • Develop automated build and deployment pipelines using Git, Jenkins or GitLab CI/CD, and Terraform.

  • Participate in code reviews, production releases, and operational support.

Required Qualifications

  • 8+ years of data engineering or software development experience.

  • 4+ years of hands-on experience with Google Cloud Platform data services.

  • Strong experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Cloud Composer.

  • Advanced Python and SQL development skills.

  • Experience with Spark, Apache Beam, and Airflow.

  • Strong understanding of ETL/ELT, data warehousing, data lakes, and distributed data processing.

  • Experience building both batch and streaming data pipelines.

  • Experience with Docker, Kubernetes, Terraform, Git, and CI/CD.

  • Strong troubleshooting and communication skills.

Preferred Qualifications

  • Healthcare, pharmacy, PBM, claims, or health insurance experience.

  • Understanding of HIPAA, PHI, and PII requirements.

  • Experience with dbt, Dataplex, Data Catalog, Cloud Run, Cloud Functions, or Looker.

  • Google Professional Data Engineer certification.

Apply