Remotery

Senior Data Engineer – Enterprise B2B Marketplace

Posted Jun 11

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Data Platform Evolution: Lead the foundational architecture, scaling strategies, and strategic roadmap of the enterprise data platform.

• Pipeline Engineering: Design and oversee the creation of highly scalable data pipelines utilizing Airflow, dbt, and Python.

• Modern Stack Integration: Construct and sustain high-throughput integrations across essential modern data stack tools, including Fivetran, Redshift, and Sigma.

• Serverless Architecture: Create and refine serverless data services and ingestion layers leveraging AWS infrastructure (e.g., AWS Lambda).

• Advanced Data Modeling: Collaborate with cross-functional stakeholders to establish reliable and high-performance data warehouse architectures and analytical datasets.

• Observability & Reliability: Execute automated testing, implement rigorous monitoring frameworks, and utilize tracing to enhance pipeline reliability and minimize operational downtime.

• Technical Leadership & Governance: Guide data engineers and analysts on engineering best practices while promoting continuous improvements in data governance and documentation.


⛳️ Requirements

• Must-Have Technical Expectations & Core Skills:

• Professional Longevity: 8+ years of demonstrated experience in designing and constructing production-grade data pipelines and large-scale analytics infrastructure.

• Transformation & Orchestration: Strong, expert-level experience with dbt and Apache Airflow (or highly comparable orchestration and transformation frameworks).

• Data Warehousing & Ecosystems: Extensive expertise in modern data warehouse architecture, particularly scaling and optimizing platforms like Amazon Redshift, along with tools such as Fivetran and Sigma.

• Engineering Stack: Advanced Python programming skills for the development of complex pipelines, automation scripts, and serverless data processing.

• Data Mastery: Expert-level SQL proficiency with significant experience in modeling large, intricate datasets for high-performance extraction.

• Cloud Infrastructure: In-depth practical knowledge of AWS cloud ecosystems, specifically in deploying serverless computing architectures (e.g., Lambda).

• Cross-Functional Leadership: Proven ability to lead high-stakes technical initiatives, align varied stakeholders, and modernize legacy workflows with considerable autonomy.


🏝️ Benefits

• 100% Remote Work: Enjoy the flexibility to work from a location that fosters your productivity. All you need is a laptop and a stable internet connection.

• Highly Competitive USD Pay: Receive an outstanding, market-leading salary in USD that surpasses standard market offerings.

• Paid Time Off: We prioritize your well-being. Our paid time off policies ensure you can relax and recharge when necessary.

• Work with Autonomy: Experience the freedom to manage your schedule while ensuring work completion. Focus on results rather than time.

• Collaborate with Top American Companies: Enhance your expertise by working on groundbreaking, impactful projects with industry-leading U.S. companies.

People also viewed

Bonapolia1 day ago

Middle/Senior Data Engineer

PL flagPoland OnlyFull-timeData Engineer
ApplyView job
phData1 day ago

Director – Data Engineering

IN flagIndia OnlyFull-timeData Engineer
ApplyView job
Applied Research Solutions3 days ago

Data Architect

US flagOhio OnlyFull-timeData Engineer
ApplyView job
Persona4 days ago

Software Engineer, Data Products

US flagCalifornia OnlyFull-timeData Engineer$130k – $220k/year
ApplyView job
WellSky5 days ago

Senior Data Engineer

US flagUnited States OnlyFull-timeData Engineer
ApplyView job
Fortive5 days ago

Senior Data Engineer

BR flagBrazil OnlyFull-timeData Engineer
ApplyView job

Never miss a great job!

Get handpicked remote jobs straight to your inbox weekly.

Trusted by 7,400+ designers