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Freelance Looker Developer Jobs in Texas (NOW HIRING)

Experience with Looker and LookML for reporting and semantic data modeling. * Proficiency in Python ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Freelance Looker Developer information

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Manager Data Engineering

Solomon Page

Houston, TX • On-site

$80/hr

Contractor

Medical, Dental, Retirement

Posted 5 days ago


Job description

We are seeking an experienced Manager, Data Engineering to lead end-to-end data management for a Retail Media Network platform. In this role, you will oversee data pipelines, cloud data platforms, governance, analytics enablement, and reporting solutions that support media performance, retail operations, and executive decision-making. You'll collaborate with cross-functional teams to deliver scalable, high-quality data products that drive business insights.
  • Pay Range :$75/hr on w2 to $80/hr on w2

Responsibilities:
  • Lead end-to-end data management across ingestion, transformation, integration, quality, governance, and analytics.
  • Design and oversee scalable ETL/ELT pipelines using cloud platforms such as Snowflake, Google BigQuery, and Microsoft Azure.
  • Manage data integration across multiple enterprise systems while ensuring reliability, performance, and data integrity.
  • Define and enforce data quality, governance, metadata, and compliance standards.
  • Oversee data modeling, semantic modeling (LookML), and analytics-ready datasets for self-service reporting.
  • Partner with business stakeholders to translate requirements into scalable data solutions.
  • Support retail media reporting, campaign performance measurement, audience insights, promotional analytics, and operational reporting.
  • Lead data engineers and analysts while coordinating with IT, marketing, and business teams to deliver high-impact data initiatives.
  • Develop documentation for data definitions, mappings, transformation logic, and business rules.
  • Drive continuous improvements in data architecture, monitoring, pipeline performance, and reporting accuracy.

Required Qualifications:
  • Proven experience in Data Engineering, Data Management, Business Intelligence, or Analytics, including leadership or management responsibilities.
  • Strong expertise in SQL, ETL/ELT pipelines, data integration, and cloud data platforms.
  • Hands-on experience with Snowflake, Google BigQuery, Microsoft Azure, and Azure data services.
  • Experience with Looker and LookML for reporting and semantic data modeling.
  • Proficiency in Python and data processing libraries such as Pandas, NumPy, or PySpark.
  • Strong understanding of data governance, metadata management, data quality, and compliance best practices.
  • Experience supporting retail, marketing, media, or advertising datasets; Retail Media Network experience is highly preferred.
  • Excellent communication, stakeholder management, analytical, and problem-solving skills.
  • Ability to lead cross-functional teams and deliver scalable, business-focused data solutions.

If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
Opportunity Awaits.

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