Data Engineer

Job not on LinkedIn

🕒 July 23

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 38%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fresh Consulting

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2007

💼 Consulting

🤖 Artificial Intelligence

🏥 Healthcare

Consulting • Artificial Intelligence • Healthcare

Fresh Consulting is an innovation services firm that specializes in helping organizations grow by designing and building products, systems, teams, and experiences. Their holistic capabilities include strategy, design, software, and hardware development, making them an end-to-end partner for innovation across various sectors, including healthcare, technology, and fintech.

📋 Description

• Design, build, and operate modern, end-to-end, cloud-native data warehouses • Develop and maintain robust ELT/ETL pipelines that integrate multiple internal systems (servicing, origination, CRM) and third-party data feeds • Create scalable data models for reporting, BI (semantic layer), and future AI/ML initiatives • Implement data quality, governance, and security practices aligned with stringent U.S. financial regulations • Work closely with C-suite stakeholders and directors in the U.S. to translate business requirements into technical data architecture • Optimize the performance of queries, pipelines, and workflows to ensure efficiency and cost control

🎯 Requirements

• 4 to 7 years of verifiable experience building end-to-end cloud data warehouses • Microsoft Fabric (highly preferred) OR portable stacks (BigQuery, Snowflake, Databricks) • Cloud Infrastructure: Azure data stack (Data Factory, Synapse, Fabric) or equivalent on AWS/GCP • Core Languages: Advanced SQL (dimensional modeling, performance optimization) and Python (transformation, orchestration, scripting) • BI Tools: Power BI or equivalent (Looker, Tableau, Mode) • Orchestration and Transformation: Azure Data Factory, Airflow, dbt, Dagster, or similar tools • Valid US Visa (Minimum B1/B2): Confirmed availability to travel to the US quarterly • Direct Exposure to Stakeholders: Experience working directly with executives in the U.S.

🏖️ Benefits

• Remote work options • Professional development opportunities