Looker Data Engineer (Contract)

About us:Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.The Role:We are seeking a Looker Data Engineer for a project-based assignment to support a key client initiative. This role will focus on building and optimizing data models, developing scalable reporting solutions, and enabling data-driven decision-making through Looker and modern data stack technologies. The ideal candidate will have strong hands-on experience with Looker development, data modeling, and programmatic reporting, along with a solid foundation in SQL and cloud data platforms.Key Responsibilities:Develop and maintain Looker data models, including LookML, models, and exploresBuild and optimize scalable, consumable data models to support business intelligence and strategic decision-makingUtilize Looker API 4.0 to enable programmatic access to dashboards, looks, and exploresAutomate report generation and delivery using Looker API endpointsWrite and optimize complex SQL queries to improve performance and efficiencyWork with Snowflake, dbt, and Python to support data transformation and pipeline developmentCollaborate with stakeholders to translate data requirements into scalable BI solutionsEnsure data accuracy, consistency, and performance across reporting layersRequired Skills:3+ years Looker development experience (LookML, models, explores)Experience working with Looker API 4.0 for programmatic accessExperience automating reporting using Looker API endpointsAbility to transform complex data into scalable, consumable data modelsHands-on experience with Snowflake, dbt, and PythonSQL experience with query optimizationNice to Have:Looker administration experienceExperience working with BigQueryExperience with modern data pipelines and ELT workflowsFamiliarity with data governance, data quality, or BI best practicesExperience working in a client-facing or consulting environmentEmployment Type:Contract*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this timeTech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR Originally posted on Himalayas

About us:Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.The Role:We are seeking a Looker Data Engineer for a project-based assignment to support a key client initiative. This role will focus on building and optimizing data models, developing scalable reporting solutions, and enabling data-driven decision-making through Looker and modern data stack technologies. The ideal candidate will have strong hands-on experience with Looker development, data modeling, and programmatic reporting, along with a solid foundation in SQL and cloud data platforms.Key Responsibilities:Develop and maintain Looker data models, including LookML, models, and exploresBuild and optimize scalable, consumable data models to support business intelligence and strategic decision-makingUtilize Looker API 4.0 to enable programmatic access to dashboards, looks, and exploresAutomate report generation and delivery using Looker API endpointsWrite and optimize complex SQL queries to improve performance and efficiencyWork with Snowflake, dbt, and Python to support data transformation and pipeline developmentCollaborate with stakeholders to translate data requirements into scalable BI solutionsEnsure data accuracy, consistency, and performance across reporting layersRequired Skills:3+ years Looker development experience (LookML, models, explores)Experience working with Looker API 4.0 for programmatic accessExperience automating reporting using Looker API endpointsAbility to transform complex data into scalable, consumable data modelsHands-on experience with Snowflake, dbt, and PythonSQL experience with query optimizationNice to Have:Looker administration experienceExperience working with BigQueryExperience with modern data pipelines and ELT workflowsFamiliarity with data governance, data quality, or BI best practicesExperience working in a client-facing or consulting environmentEmployment Type:Contract*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this timeTech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR Originally posted on Himalayas