Data Engineer (Short-Term Engagement) at Serverless Guru LLC. | Torre
Data Engineer (Short-Term Engagement)
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Serverless Guru LLC.

Data Engineer (Short-Term Engagement)

Serverless Guru LLC.
Emma
Emma
You'll deliver high-impact data solutions, enabling smarter decision-making and scalable analytics.
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Full-time

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Emma of Torre.ai
 about 1 month ago

Requirements and responsibilities

We are looking for 5+ years of overall data engineering experience, with expert-level hands-on experience in CData, Snowflake, and Looker schema development. As a senior data engineer, you will bring best practices for modern data architecture, data modeling, and analytics enablement, helping ensure that data pipelines and reporting layers are performant, scalable, and easy for business users to consume. Your expertise in data integration and modeling will be critical to the success of this short-term engagement and will directly impact the client’s ability to make data-driven decisions.About the RoleAs a Data Engineer, you will work closely with technical and business teams to build and optimize data pipelines and analytics layers. You will be responsible for integrating multiple data sources using CData, transforming and modeling data within Snowflake, and creating structured, scalable Looker schemas to support reporting and insights.Key ResponsibilitiesDesign, build, and optimize data pipelines using CData connectorsIngest and transform data into Snowflake for analytics and reportingDevelop and maintain scalable data models within SnowflakeBuild and optimize Looker schemas (LookML) for business intelligence use casesEnsure data quality, consistency, and reliability across systemsCollaborate with stakeholders to understand reporting requirements and translate them into technical solutionsTroubleshoot and resolve data pipeline and modeling issuesImplement best practices for data governance, performance optimization, and scalabilityRequired Skills & Experience5+ years of overall data engineering experienceExpert-level experience with CData (connectors, integrations, and data ingestion)Strong expertise in Snowflake (data modeling, performance tuning, ETL/ELT)Extensive experience building Looker schemas (LookML)Strong SQL skills and experience working with large datasetsExperience designing and implementing end-to-end data pipelinesFamiliarity with data integration patterns and best practicesExperience working in Agile development environmentsStrong problem-solving and communication skillsPreferred QualificationsExperience with BI tools beyond LookerFamiliarity with modern data stack toolsExperience with data governance and data quality frameworksExposure to cloud-based data ecosystemsExperience with manufacturing or distribution data (nice to have)Engagement DetailsDuration: 4-5 weeks (40 hrs/week)Timezone: ESTClient industry: manufacturing and distribution (related industry experience not required; the role is fully on the data side)Join our team and help deliver a high-impact data solution that enables smarter decision-making and scalable analytics for our client.
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