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Remote Looker Developer Jobs in Philadelphia, PA

CEI

Data Engineer - Databricks, AWS, Python

Philadelphia, PA · Remote

$109K - $131K/yr

Data Engineer - Databricks, AWS, Python 100% Remote / MUST interview on-site: Phila., PA 19103 $125 ... Yield Looker-to-Tableau migration, and Supply/Yield Data Engineering initiatives through the ...

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Remote Looker Developer information

What is a remote Looker developer?

A Remote Looker Developer is a data professional who specializes in creating, managing, and optimizing data models, dashboards, and reports using Looker, a business intelligence and data visualization platform. They work remotely, collaborating with teams via digital communication tools to gather requirements, transform data sources, and deliver analytics solutions that help organizations make data-driven decisions. Remote Looker Developers are skilled in LookML (Looker's modeling language), SQL, and often have experience with cloud data warehouses and analytics best practices.

What are the key skills and qualifications needed to thrive as a remote Looker developer?

To thrive as a Remote Looker Developer, you need strong skills in SQL, data modeling, and business intelligence, typically supported by experience with Looker and a background in computer science or data analytics. Familiarity with LookML, version control systems (such as Git), and cloud data warehouses like BigQuery or Redshift is essential. Excellent communication, problem-solving abilities, and self-motivation are important soft skills for collaborating virtually and translating business requirements into data solutions. These skills ensure effective data visualization, actionable insights, and seamless teamwork in a remote environment.

What are some common challenges faced by remote Looker developers, and how can they be addressed?

Remote Looker Developers often encounter challenges such as collaborating effectively with distributed data teams, managing different time zones, and ensuring data security across remote environments. To address these, it's important to establish clear communication channels (like Slack or project management tools), schedule regular check-ins, and follow best practices for version control and documentation. Utilizing secure VPN connections and adhering to company data governance policies also helps maintain data integrity and compliance while working remotely.

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

AspectRemote Looker DeveloperData Analyst
Primary RoleDesigning and developing dashboards and reports using LookerAnalyzing data to identify trends and insights
Skills & CertificationsLooker certifications, SQL, data modelingExcel, SQL, data visualization tools
Work EnvironmentRemote, tech-focused teams in various industriesRemote or on-site, across multiple industries
Employer UsageCompanies using Looker for BI solutionsOrganizations seeking data-driven decision making

While both roles involve working with data, a Remote Looker Developer specializes in creating dashboards and reports within Looker, requiring technical skills like data modeling and Looker certifications. A Data Analyst focuses on interpreting data to provide insights, often using a broader set of tools. Both roles can be remote and are vital in data-driven organizations, but their core responsibilities differ.

What are the most commonly searched types of Looker Developer jobs in Philadelphia, PA?

The most popular types of Looker Developer jobs in Philadelphia, PA are:

What are popular job titles related to Remote Looker Developer jobs in Philadelphia, PA?

For Remote Looker Developer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Remote Looker Developer jobs in Philadelphia, PA look for?

The top searched job categories for Remote Looker Developer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Looker Developer jobs?

Cities near Philadelphia, PA with the most Remote Looker Developer job openings:

Remote Looker Developer jobs near you
Infographic showing various Remote Looker Developer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 100% Remote job distribution.

Data Engineer - Databricks, AWS, Python

CEI

Philadelphia, PA • Remote

$109K - $131K/yr

Full-time

Posted 16 days ago

Job description

Data Engineer – Databricks, AWS, Python
100% Remote / MUST interview on-site: Phila., PA 19103
$125,000 - $135,000/yrRole OverviewWe are seeking a Data Engineer to support the development, modernization, and delivery of data engineering assets, and the Yield Looker-to-Tableau migration, and Supply/Yield Data Engineering initiatives through the remainder of 2026. This role will focus on building reliable ETL pipelines, enhancing legacy jobs, supporting migration work, and delivering core data assets that feed analytics and reporting in Tableau Cloud.Key Responsibilities
  • Develop, test, and maintain ETL and data engineering jobs that bring data into Databricks and support downstream analytics and reporting.
  • Work with business and technical stakeholders to understand requirements and translate them into scalable, production-ready data pipelines.
  • Build and maintain pipelines across AWS, Databricks, and Snowflake environments.
  • Enhance existing legacy data engineering jobs as part of broader modernization and migration efforts.
  • Create and maintain technical documentation, technical specifications, test plans, and operational support materials.
  • Perform testing and quality assurance to validate data accuracy, pipeline reliability, and readiness for production deployment.
  • Use Terraform to provision, configure, and manage cloud infrastructure supporting data engineering workloads.
  • Set up and maintain CI/CD pipelines using Concourse, GitHub Actions, or similar tooling to enable smooth, repeatable deployments.
  • Troubleshoot pipeline issues, resolve defects quickly, and help ensure data jobs run reliably within expected service levels.
  • Provide post-delivery support, including issue investigation, defect resolution, and operational handoff.
  • Identify and mitigate risks, including single points of failure, reliability gaps, and operational dependencies.
  • Collaborate with engineers, analysts, and reporting teams to share knowledge, strengthen best practices, and improve delivery quality.
Project ScopeThe Data Engineer will augment capacity on the Supply/Yield Data Engineering team and support priority work related to INVENTORY ART, including migration activities and the development of core data pipelines and assets. These assets will support analytics and reporting used by Steve S.’s teams in Tableau Cloud. The role will also provide additional support for the Yield Looker-to-Tableau migration and related modernization efforts.Required Skills and Experience
  • Hands-on experience developing ETL, ELT, or data engineering pipelines in production environments.
  • Strong experience with Databricks, Spark-based processing, and modern data pipeline development.
  • Experience working with AWS cloud services and Snowflake data platforms.
  • Proficiency with infrastructure-as-code practices, preferably Terraform.
  • Experience implementing CI/CD practices using Concourse, GitHub Actions, or comparable deployment automation tools.
  • Ability to write clear technical specifications, documentation, and support materials.
  • Strong testing, quality assurance, troubleshooting, and operational support skills.
  • Ability to work collaboratively with cross-functional teams and translate requirements into working technical solutions.
Preferred Qualifications
  • Experience supporting analytics or BI migrations, especially from Looker to Tableau.
  • Experience developing data assets for Tableau Cloud reporting and analytics use cases.
  • Familiarity with supply, yield, inventory, or advertising-related data domains.
  • Experience modernizing or enhancing legacy data engineering jobs.
  • Strong understanding of operational reliability, risk mitigation, and single-point-of-failure reduction.

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