Company
In All Media is a global technology consulting company that partners with leading organizations to design, build, and scale high-impact digital products. Our teams specialize in software engineering, data platforms, artificial intelligence solutions, and enterprise program delivery.
We operate with distributed teams across the Americas and collaborate with enterprise clients that rely on our engineering and delivery expertise to execute complex technology initiatives at scale.
Project ContextWe are seeking talent to join an ADP Engineering team, a specialized division within their Central Analytics Organization. This team is responsible for building, scaling, and running a core Marketplace Analytics Data Platform.
The current mission centers on modernizing their ecosystem—shifting away from legacy, brittle ETL scripts and moving into highly observable, software-engineered data models. By managing a cutting-edge modern data stack, this team generates the fundamental data products that all other business units within the client's organization rely on to track hiring metrics, platform performance, and overall marketplace health.
Role OverviewWe are seeking an experienced professional to join our team as a Senior Data Engineer (Analytics / Modeling Focus). You will provide critical technical execution and analytical leadership, acting as a driving force in translating raw data into robust, production-ready data models. Your work will ensure that cross-functional teams have seamless access to un-compromised, highly performant, and real-time datasets.
Open Position & QualificationsSenior Data Engineer (Analytics / Modeling Focus)Project Description: Marketplace Analytics & Data Platform Modernization
As the company scales its analytics capabilities, this project focuses on upgrading our core data backbone using a modern stack (Snowflake, dbt, Dagster). You will be responsible for dismantling legacy data workflows, engineering scalable data pipelines, and establishing rigorous validation standards to guarantee data reliability and pipeline health across the enterprise.
Must Haves:- Proven Seniority: 3 to 5+ years of professional experience in dedicated data-focused engineering or advanced analytics roles.
- Advanced SQL: Exceptional ability to write, debug, and tune complex SQL queries for heavy data transformations, validation, and analytics reporting.
- Python Scripting: Strong hands-on experience using Python to build custom data processing workflows, automation scripts, and pipeline connectors.
- Modern Cloud Data Warehousing: Direct experience designing, managing, and indexing performant data models natively within Snowflake.
- Modern ELT Frameworks: Production experience developing modular, tested, and documented data transformation code using dbt.
- Cloud Infrastructure: Practical familiarity with AWS cloud environments (e.g., S3, EC2, or related data orchestration services) supporting scalable storage and execution.
- Reliability Engineering: Strong understanding of data validation, data quality frameworks, and pipeline health troubleshooting.
- Modern Orchestration: Familiarity with next-generation data orchestrators like Dagster or Apache Airflow.
- Marketplace Analytics: Prior experience working with marketplace dynamics, transactional data, matching algorithms, or user-behavior metrics.
- Advanced BI Tools: Hands-on experience connecting modeled data layers to frontend visualization suites (e.g., Tableau, Looker, or PowerBI).
- Remote position from LATAM
- Working hours aligned with Central Time (United States)
At In All Media, you will collaborate with highly experienced engineers, architects, and delivery leaders working on complex technology initiatives for global organizations.
Our environment encourages technical excellence, strong ownership, and continuous learning while delivering impactful solutions that shape the future of digital platforms and advanced technologies.
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Skills Required
- 3 to 5+ years of professional experience in data-focused engineering or advanced analytics roles
- Exceptional ability to write, debug, and tune complex SQL queries
- Strong hands-on experience using Python for data processing workflows
- Direct experience designing and managing data models within Snowflake
- Production experience developing data transformation code using dbt
- Familiarity with AWS cloud environments like S3, EC2
- Strong understanding of data validation and quality frameworks
What We Do
In All Media is a cutting-edge technology and innovation consulting organization, facilitating digital transformation in multiple industries. We have partnered with top-tier organizations such as NBCUniversal, Sony DADC, Aclara Technologies, and Dun & Bradstreet, among other leading companies worldwide. In All Media harnesses the collaborative synergy of all our international talent pool using Agile methodologies, to deliver excellence efficiently and with the utmost quality. At In All Media, we believe in diversity and autonomy. Our new model brings together a global managed community, with experts guiding and managing talented engineers; working to bring together the best talent in the world, regardless of where they are. We are not only evolving in terms of technology, but also in terms of In All Media as a re-imagined technology consultancy in step with the Fourth Industrial Revolution. Our community of 200+ experts and engineers are very motivated by different challenges in their field, and apply continuous learning to stay ahead of the curve in their expertise on new developments and innovative technologies. Our delivery model is based on Agile, On-site, and Near Shore capabilities to maximize team integration and provide the best value to our clients. We partner holistically with our clients in the co-creation of services and products, and follow streamlined Agile processes throughout. This makes In All Media a truly global company driven by a community of dedicated, talented individuals self-organizing into multi-disciplinary teams, producing the best possible output for our world-class clients. We're hiring! Email us your CV: [email protected] Contact Us: [email protected]
