We’re looking for a talented and experienced Senior Data Engineer to join our team and help design, build, and scale modern data platforms. In this role, you’ll lead the development of robust data pipelines, optimize data architecture, and ensure high-quality, reliable data flows across systems. You’ll collaborate closely with product managers, software engineers, analysts, and business stakeholders to translate complex requirements into scalable data solutions that power reporting, analytics, and decision-making. If you’re passionate about clean, efficient data models, resilient ETL/ELT processes, and building infrastructure that turns raw data into actionable insight, we’d love to hear from you.
This position is a full-time role. We are 100% remote but candidates must reside and be authorized to work in the United States.
Responsibilities
Design and implement cloud-based data platforms, pipelines, and data hubs for client engagements
Support modernization and migration of legacy data systems to cloud-native architectures
Build and maintain high-quality, scalable data pipelines with strong observability and reliability
Combine data from multiple sources to create comprehensive, trusted data assets
Set up cloud compute and storage (AWS, Azure, SaaS/PaaS, SSO) based on project requirements
Design and implement centralized Data Hubs supporting AI/ML, KPI dashboards, SSO, and integrations across platforms (e.g., MarTech, eCommerce, EdTech, DXP, learning systems)
Develop reusable components for ingesting, normalizing, transforming, and serving data (DWH, reporting, dashboards, AI/ML use cases)
Implement lightweight, effective data modeling strategies focused on performance and maintainability
Ensure high availability, data quality, observability, governance, and cataloguing best practices
Required
10+ years of experience in data engineering, data platforms, BI engineering, and/or data architecture
Proven experience with end-to-end data management, including data governance, cataloguing, observability, and quality.
Advanced SQL expertise (query optimization, performance tuning, complex transformations).
Hands-on Azure Fabric experience
Strong SSIS and SSAS experience
Strong Power BI experience, including data modeling, report/dashboard development, and performance optimization
Experience designing and optimizing Data Lakes and enterprise data warehouses
Demonstrated leadership in legacy system modernization to cloud (Azure preferred)
Strong debugging and root-cause analysis skills
Experience with at least one major cloud (Azure strongly preferred; AWS/GCP acceptable)
Experience with Git and CI/CD best practices
Excellent communication and client-facing skills
Nice To Have
Experience with AWS, Azure, or GCP (multi-cloud exposure a plus)
Experience with tools such as FiveTran, Snowflake, dbt, Google Analytics, Tableau
Experience designing and deploying solutions on AWS (Lambda, RDS, DMS, S3, Snowflake or similar cloud data warehouse)
Python experience building data pipelines, automation scripts, and AI/ML workflows, including integration with cloud services and data platforms.
Experience supporting AI/ML infrastructure and workflows
Exposure to Large Language Models (LLMs)
DevOps experience including Infrastructure as Code and deployment automation
Benefits
This is a remote full-time W2 employee position with the following benefits:
Competitive Base Salary - Great work deserves great pay. We offer a base salary range between $120,000 - $140,000, commensurate with years of experience, technical expertise, and overall qualifications. This salary covers a standard 40-hour work week, and we strongly value maintaining a healthy work-life balance.
Optional Paid Overtime - At JBS, overtime is never required, but if you choose to work additional hours beyond 40 in a week, those hours are compensated at an overtime rate. The decision to take on extra work is entirely employee-driven; we respect your time and encourage a balance that works best for you.
Generous PTO policy - Take the time you need to rest, recharge, or travel the world
401k with company match - Contribute to your 401(k), and we’ll match up to 4%
Comprehensive Health Coverage - Medical, dental, and vision plans for you and your family, with 90% or more of your deductible completely covered
Fully remote - We’ve always been (and always will be) 100% remote
As an equal opportunity employer, JBS does not discriminate in hiring or terms and conditions of employment on the basis of any federal, state, or locally protected class. JBS only hires individuals authorized for employment in the United States on a W2 basis