Data Engineer – Analytics, Modeling

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In All Media

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.

📋 Description

• Provide critical technical execution and analytical leadership, acting as a driving force in translating raw data into robust, production-ready data models. • Ensure cross-functional teams have seamless access to un-compromised, highly performant, and real-time datasets. • Responsible for dismantling legacy data workflows, engineering scalable data pipelines, and establishing rigorous validation standards to guarantee data reliability and pipeline health.

🎯 Requirements

• 3 to 5+ years of professional experience in dedicated data-focused engineering or advanced analytics roles. • Exceptional ability to write, debug, and tune complex SQL queries for heavy data transformations, validation, and analytics reporting. • Strong hands-on experience using Python to build custom data processing workflows, automation scripts, and pipeline connectors. • Direct experience designing, managing, and indexing performant data models natively within Snowflake. • Production experience developing modular, tested, and documented data transformation code using dbt. • Practical familiarity with AWS cloud environments (e.g., S3, EC2, or related data orchestration services) supporting scalable storage and execution. • Strong understanding of data validation, data quality frameworks, and pipeline health troubleshooting. • Familiarity with next-generation data orchestrators like Dagster or Apache Airflow (Nice to have). • Prior experience working with marketplace dynamics, transactional data, matching algorithms, or user-behavior metrics (Nice to have).

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities