Data Engineer (Analytics/Modeling)

Location: Remote from LATAM

Contract Type: Full-time contractor

Time Zone Alignment: CT ±2 hours

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 Context We 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 Overview We 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 & Qualifications Senior 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.

Nice to Haves: 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 ).

Work Modality Remote position from LATAM Working hours aligned with Central Time (United States)

Why Join In All Media 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.

#LI