Data Engineer – Salesforce, Snowflake

Job not on LinkedIn

🔥 19 hours ago

🌐 Colombia, Costa Rica, +3 more countries – Remote

🇨🇴 Colombia – Remote 🇨🇷 Costa Rica – Remote 🇦🇷 Argentina – Remote 🇵🇪 Peru – Remote 🇳🇮 Nicaragua – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🌐👩‍💻 Salesforce Developer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 1 day.
• Jobs at this company usually fill in 51 days.
• 95 open roles for a team of 187.
• No salary listed.

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In All Media

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

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

• Architect, build, and scale reliable data pipelines and analytical data models for GTM operations, enterprise reporting, and Data Science initiatives • Design, build, and maintain scalable batch ETL/ELT pipelines with hourly and daily incremental loads • Ingest and integrate multi-source enterprise and SaaS data into Snowflake and AWS data lakes • Design and evolve dimensional and domain-oriented analytical Data Mesh models supporting GTM functions and Salesforce integrations • Optimize distributed data processing and SQL query performance across high-volume datasets • Implement automated data quality validation, pipeline testing, monitoring, and alerting in Git-controlled CI/CD workflows • Partner with Data Science and Machine Learning teams to productionize curated datasets and feature sets • Communicate architectural decisions, data contracts, and delivery progress with technical and non-technical GTM stakeholders • Align with US Central Time business hours, participate in daily standups, and attend live architectural syncs

🎯 Requirements

• Bachelor’s degree with 5+ years of related data engineering experience, or a Master’s degree with 3+ years of experience • Strong SQL skills • Hands-on proficiency in Python, Java, or Scala • Extensive experience with relational, SQL, and NoSQL databases • Mandatory production experience with Snowflake and AWS managing modern data warehouses or lakehouses • Deep expertise in Apache Airflow or equivalent enterprise schedulers • Expert understanding of hourly/daily incremental loading strategies, query and performance tuning, and distributed processing across tens of millions of rows and hundreds of GB to low TB • Strong foundation in dimensional and analytical data modeling, including scalable domain-oriented models • Hands-on experience building ETL/ELT pipelines integrating AWS, Snowflake, and Salesforce • Experience implementing automated data validation, monitoring/alerting, Git version control, and CI/CD pipelines • Experience leveraging AI-assisted coding tools such as Cursor and Claude • English required for interviews, technical documentation, architectural reviews, daily team syncs, and operational communications • Preferred: Salesforce-to-Snowflake integration, Salesforce object model, API rate limits, incremental extraction, deleted-record handling, SaaS API ingestion, Kafka, dbt, data catalogs, data observability platforms, ML pipelines or feature stores, online marketplaces, search, advertising, recommendation systems, Terraform, and Kubernetes

🏖️ Benefits

• 100% remote work • Full-time contractor engagement directly managed with In All Media • Alignment with US Central Time • Collaboration with international clients and distributed teams worldwide

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