Key Facts

Remote From:

Uruguay , Brazil , Colombia , Argentina , Mexico

Category: Data Engineer

Full time

Senior (5-10 years)

English

Hard Skills

Salesforce Data Engineering SQL (Programming Language) Salesforce JIRA Data Governance Intestate Data Modeling Data Quality Data Management +8 more

Other Skills

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Collaboration
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Communication

Roles & Responsibilities

5+ years of professional experience as a Data Engineer
Deep, hands-on engineering experience within Snowflake
Expert-level SQL skills for complex data transformation
Direct experience integrating with Salesforce

Requirements:

Build, scale, and maintain high-performing data pipelines for Snowflake
Develop Snowflake pipeline objects and advanced transformation logic
Lead the technical ingestion and modeling of Salesforce and Jira data
Implement data quality checks and pipeline monitoring

In All Media

About In All Media

In All Media is a trailblazing Nearshore Managed Service Provider, laser-focused on Team Augmentation for software development. We craft bespoke, highly specialized teams that effortlessly merge with our client's processes and culture, delivering unparalleled results. Our Austin headquarters anchors our global reach, with a diverse talent pool distributed across the Americas, Europe, and Asia. This allows us to execute our Nearshore model efficiently in all three regions. Since our inception, we have employed an agile, remote, and distributed model, allowing us to tap into the world's finest technical talent, regardless of location, adapting methodologies like SAFe to perfectly align with our client's needs. We source our exceptional talent from Coderfull, our exclusive community boasting over 5,000 rigorously vetted engineers. Our teams are formed and trained within this community, with specialized interest groups focusing on cutting-edge technologies making In All Media a true Community Lead Enterprise. Our Community teams have a proven track record of collaboration, in-depth knowledge of each other's strengths, and exceptional team dynamics. This synergy results in rapid onboarding, heightened productivity, and an unwavering commitment to success. Our teams embrace flexibility and benefit from a thriving community spirit, abundant career growth opportunities, and a stable compensation model. Our proprietary Community Management platform streamlines talent management, empowering them to efficiently handle daily work, career development, and administrative tasks. AI has captivated our community with its potential to revolutionize our industry so we are harnessing AI to augment, not replace, human skills investing heavily in AI tools, training, and partnerships, to increase our team’s productivity and guide our clients toward a future-ready AI adoption strategy. Experience the In All Media difference today.

Founded: 2018

Company size: 1001 - 5000

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Job description

Position: Senior Data Engineer (Salesforce & Jira Integration)

Location: Remote from LATAM

Contract Type: Full-time (Vendor)

Time Zone Alignment: CT (Consistent overlap with US-Based Stakeholders)

About In All Media

We are a Managed Nearshore Teams provider headquartered in Austin, Texas, specializing in building and embedding high-performing software development teams. From design to deployment, we deliver customized solutions by connecting global talent with innovative client projects. Our model allows you to work on international challenges, collaborate with diverse teams, and grow your career while being part of a company that values expertise, creativity, and impact.

Project Overview

In this role, you will anchor a business-critical cloud data engineering initiative, partnering with enterprise IT and commercial stakeholders to integrate complex business operations workflows. You will design, build, and optimize robust ETL/ELT pipelines that stream data from core enterprise SaaS platforms—specifically Salesforce and Jira—into a centralized Snowflake data warehouse.

Built for collaborative, highly technical problem solvers, you will transform raw operational records into high-performance, reporting-ready layers. This project requires a strong understanding of data governance, security boundaries, and schema design, ensuring that downstream Power BI developers and executive audiences have reliable, secure, and lightning-fast access to commercial insights.

Key Responsibilities

Pipeline & ETL/ELT Engineering: Build, scale, and maintain high-performing data pipelines to ingest structured and semi-structured data from enterprise SaaS systems into Snowflake.
Snowflake Architecture & Transformation: Develop Snowflake pipeline objects, staging environments, advanced transformation logic, and aggregations to build optimized, reporting-ready data structures.
SaaS Ecosystem Integration: Lead the technical ingestion and modeling of Salesforce commercial data (opportunities, accounts, and custom A&A approval workflows) and Jira process data (custom fields, workflow configurations, and issue routing).
Data Quality & Pipeline Monitoring: Implement rigorous data quality checks, automated error handling, reconciliation scripts, and proactive end-to-end pipeline monitoring.
Governance & Enterprise Security: Work strictly within enterprise security architectures, access-control boundaries, and role-based permissions to protect sensitive commercial and operational data.
Cross-Functional Collaboration: Partner with Power BI developers, Jira/Salesforce administrators, and business analysts to validate data availability, map transformation logic, and support executive dashboards.
Agile Delivery & Documentation: Produce comprehensive technical designs, data flow documentation, and operational handoffs while actively participating in standard Agile/Scrum ceremonies.

Must-Have Skills

Experience Tenure: 5+ years of professional experience working as a Data Engineer, with a proven track record of architecting cloud-based pipelines.
Snowflake Mastery: Deep, hands-on engineering experience within Snowflake, specifically focusing on ingestion, staging strategies, stream/task management, and query optimization.
Advanced SQL: Expert-level SQL skills for complex data transformation, validation, performance tuning, and building clean analytics schemas.
Salesforce Data Competency: Direct experience integrating with Salesforce, including a strong understanding of its data model, REST/Bulk APIs, permissions, and commercial objects (opportunities, sales operations, approvals).
Workflow Data Modeling: Proven experience ingesting and modeling data from Jira or similar enterprise-level ticketing and workflow management platforms.
Fluent English: Excellent verbal and written communication skills for seamless daily technical collaboration and documentation with US-based stakeholders.

Nice-to-Have Skills

Modern Data Stack Toolkit: Familiarity with modern data orchestration and transformation tools such as dbt, Airflow, Fivetran, Matillion, Informatica, or Azure Data Factory.
Downstream Visualization Layer: Experience with Power BI, including data modeling, native connector configurations, dashboard support, or writing DAX.
DevOps & CI/CD: Experience utilizing version control (Git), automated testing frameworks for data pipelines, and CI/CD deployment workflows.
Jira Mechanics: Advanced understanding of Jira Software or Jira Service Management, including custom automation rules, cloud migration nuances, or hybrid cloud/on-premise reporting configurations.
Commercial Ops Domain Knowledge: Prior experience supporting analytics for sales operations, deal desk, quoting, bid authorization, or professional services workflows.
Distributed Team Dynamics: Prior experience working effectively as part of a distributed nearshore team aligned with US corporations.

Time Zone & Collaboration

This role is 100% remote from LATAM and requires consistent overlap with teams (CT/ET). Flexibility is expected to accommodate key ceremonies, stand-ups, sprint planning, and collaborative sessions within standard US business hours.