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Remote Looker Developer Jobs in Frisco, TX (NOW HIRING)

Sr. Data Engineer (Remote)

Dallas, TX · On-site +1

$150K - $175K/yr

JOB SUMMARY The Senior Data Engineer will build and own the data foundation / data ecosystem that ... Ability to connect and optimize datasets for visualization and BI platforms like Tableau, Looker ...

Sr. Data Engineer (Remote)

Dallas, TX · Remote

$150K - $175K/yr

JOB SUMMARY The Senior Data Engineer will build and own the data foundation / data ecosystem that ... Ability to connect and optimize datasets for visualization and BI platforms like Tableau, Looker ...

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ... Lead metric alignment conversations with Data, Product, and Engineering; represent Support ...

From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers ... You'll partner closely with product, analytics, and engineering teams to build scalable acquisition ...

Remote Looker Developer information

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

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 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 most commonly searched types of Looker Developer jobs in Frisco, TX? The most popular types of Looker Developer jobs in Frisco, TX are:
What are popular job titles related to Remote Looker Developer jobs in Frisco, TX? For Remote Looker Developer jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Remote Looker Developer jobs in Frisco, TX look for? The top searched job categories for Remote Looker Developer jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Remote Looker Developer jobs? Cities near Frisco, TX with the most Remote Looker Developer job openings:
Infographic showing various Remote Looker Developer job openings in Frisco, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Sr. Data Engineer (Remote)

Sr. Data Engineer (Remote)

Vision Radiology

Dallas, TX • On-site, Remote

$150K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

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


Job description

COMPANY DESCRIPTION
Vision Radiology was founded in 2003 by several radiology alumni from The Johns Hopkins University who shared the core values of dedication to diagnostic radiology and a commitment to patient welfare. Our mission from day one has been to set the highest standards of quality, timeliness, and client service in the practice of radiology.
JOB SUMMARY
The Senior Data Engineer will build and own the data foundation / data ecosystem that Vision will leverage for business analytics, machine learning, and artificial intelligence applications. This includes working with key vendors to set up a data lake of the Practice's data from various key systems, building and maintaining the connections that feed the database, and maintaining the code and tables to transform the data into a data warehouse. This role sits in Operations, but will work closely with IT and other departments.
Please Note: This is a remote position that can be performed anywhere within the United States. A high-bandwidth, stable, and reliable internet connection is required.
ROLE RESPONSIBILITIES
  • Data Modeling & Transformation: Build clean, scalable, and reusable data models that act as a single source of truth for the company
  • Pipeline Development: Design and manage Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines to automate data flows
  • Quality Assurance: Implement data testing, anomaly detection, and validation checks to ensure high data integrity
  • Cross-Functional Collaboration: Partner with operational leaders and future analytics hires to define metrics and maintain data dictionaries
  • Vendor Management: Manage the PACS API relationship and evaluate, select, and manage data warehouse and tooling vendors in partnership with IT
  • Integrate our PACS through a direct API and change-data-capture, replacing today's manual CSV export and Excel macro
  • Build reliability in from day one: monitoring, alerting, data-quality checks, refresh SLAs, and documentation
  • Handle PHI responsibly - access controls, de-identification where appropriate, and audit - in partnership with IT and the CIO
  • Feed downstream reporting and applications (billing, payroll, dashboards), and prepare the layer for forecasting and the matching / optimization engine
  • Own data systems end to end: build it, keep it running, and iteratively make it better
  • Other related responsibilities as assigned

QUALIFICATIONS AND EDUCATION REQUIREMENTS
  • 5+ years in data engineering or analytics engineering, owning pipelines and data models in production
  • Strong SQL and data modeling (dimensional / data-warehouse design)
  • ELT / ETL plus streaming or change-data-capture, and workflow orchestration
  • Bachelor's degree: Computer Science, Information Technology, Data Science, or a related field
  • Advanced proficiency in SQL and Python
  • Hands-on production experience with a cloud data warehouse (e.g., Snowflake, BigQuery, Redshift, or Postgres at scale)
  • API integration experience - pulling, reconciling, and maintaining data from third-party systems
  • A high-reliability mindset: data quality, observability, and documentation as defaults
  • Comfort as a founding builder - high autonomy, end-to-end ownership, pragmatic about trade-offs
  • Occasional travel required

PREFERRED SKILLS AND EXPERIENCE
  • Experience with HL-7 and/or FHIR
  • Experience with DICOM metadata
  • Experience with data transformation tools (e.g., dbt Labs)
  • Skill sets dealing with unstructured data for ML/AI (e.g.,report text, clinical history, LLMs) for us to train models on
  • Familiarity with Git, continuous integration, and data documentation
  • Ability to connect and optimize datasets for visualization and BI platforms like Tableau, Looker, or Power BI
  • Ability to translate complex technical data models into strategic business insights
  • Experience with streaming architectures and event brokers (e.g., Apache Kafka, Azure event hubs)
  • Experience working with PHI in a HIPAA-regulated environment

WHAT SUCCESS LOOKS LIKE IN YEAR ONE
  • A direct API and change-data-capture feed from the PACS is live, replacing the manual CSV export and Excel macro
  • A governed, documented data warehouse serves billing, payroll, and operational dashboard reporting as the single source of truth
  • Monitoring, alerting, and data-quality checks run automatically against defined refresh SLAs
  • The data layer is ready to support forecasting and the radiologist supply-demand matching and optimization engine

Compensation: $150,000-$175,000 total compensation, including base salary plus performance bonus, commensurate with experience and qualifications.
COMPANY BENEFITS
  • 401(k) employer matching
  • Medical/Dental/Vision Insurance (including additional ancillary benefits)
  • FSA or HSA
  • Unlimited Paid Time Off Policy
  • Paid Parental Leave
  • Variety of company perk programs (i.e., health & wellness, learning & development, etc.)

Vision Radiology is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, marital status, or any other status protected by applicable law. Reasonable accommodations are available for qualified individuals with disabilities upon request.