Senior Data Engineer (Remote, LATAM)

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AI Summary

Seeking a Senior Data Engineer to design and build scalable data infrastructure for a US-based client. Responsibilities include data architecture, pipeline development, and mentoring junior engineers. Requires strong Python, SQL, ETL/ELT, and cloud platform experience. This is a 100% remote, full-time contract role with a salary of $65,000-$75,000 USD annually.

Key Highlights
Lead strategic data initiatives and build modern data infrastructure.
Design and implement robust data architecture and pipelines.
Mentor junior engineers and champion data quality and security.
Key Responsibilities
Building the infrastructure to support the storing and movement of data.
Informing, developing, and implementing data accessibility solutions.
Design and build robust data architecture and pipelines to ensure reliable, scalable data flow.
Collaborate cross-functionally with analytics engineers, data analysts, and stakeholders to deliver impactful data solutions.
Own project delivery, ensure scalability and performance optimization, and mentor junior engineers.
Champion data quality, security, and performance across systems and teams.
Ensuring that large and/or more complex data engineering projects are delivered on time, within scope, and within budget.
Technical Skills Required
Python SQL ETL/ELT AWS Azure GCP Snowflake BigQuery Databricks Airflow Fivetran Azure Data Factory Kafka Spark Streaming
Benefits & Perks
$65,000-$75,000 USD annually
100% Remote
Nice to Have
Scala
Rust
Kafka
Spark Streaming

Job Description


Remote Opportunity – Senior Data Engineer (USA-based Client)

Join a Global Team Driving Data Innovation 🚀


At SEE Talent, we’re searching for a Senior Data Engineer to join the team of one of our U.S.-based clients. This is your opportunity to lead strategic data initiatives, mentor engineering talent, and build scalable, modern data infrastructure that powers decision-making and innovation.

Overview

Senior Data Engineers play a crucial role in helping our client organizations manage and leverage their data effectively. Their responsibilities include Data Architecture Design; Data Warehousing; Data Quality Assurance; Scalability and Performance Optimization; and Data Security. As senior-level individual contributors, SDEs are also responsible for recommending and implementing data engineering tools and technologies that best suit the client’s needs. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing.


💼 Key Responsibilities

As a Senior Data Engineer, you will:

  • Data Engineering Expertise: You are responsible for building the infrastructure to support the storing and movement of data, so that it can be prepared by analytics engineers to eventually be interpreted by analysts. Your job is informing, developing, and implementing data accessibility solutions, enabling our clients to utilize data for performance evaluation and optimization.
  • Design and build robust data architecture and pipelines to ensure reliable, scalable data flow
  • Collaborate cross-functionally with analytics engineers, data analysts, and stakeholders to deliver impactful data solutions
  • Own project delivery, ensure scalability and performance optimization, and mentor junior engineers
  • Champion data quality, security, and performance across systems and teams
  • You are responsible for ensuring that large and/or more complex data engineering projects are delivered on time, within scope, and within budget.



🧠 Skills & Qualifications

  • Proven experience as a Data Engineer or related role, with a focus on designing and developing data pipelines.
  • Strong proficiency in Python and SQL (Scala/Rust a plus)
  • Solid knowledge of ETL/ELT processes, data warehousing, and cloud platforms (AWS, Azure, or GCP)
  • Hands-on experience with Snowflake, BigQuery, Databricks, or similar
  • Familiarity with orchestration tools like Airflow, Fivetran, or Azure Data Factory
  • Experience with data streaming tools like Kafka or Spark Streaming (nice to have)
  • Experience mentoring other engineers and collaborating across teams
  • Strong communication skills in English (professional fluency required)


🌐 Location: 100% Remote (El Salvador, Costa Rica or LATAM)

💬 Language: English (Professional proficiency)

🕐 Work Schedule: Monday to Friday EST time

🎯$65,000-$75,000 USD annually , full time as a contractor

🎯 If you're passionate about scalable data solutions and enjoy collaborating with global teams—this opportunity is for you.

📩 Apply now by sending your resume to talento@see-talent.com or contacting us at +503 7317 9012.

Let’s build the future of data together.


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