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Senior Data Platform Engineer (Remote - Namer)

Senior Data Platform Engineer (Remote - Namer)

JobgetherUS
19 hours ago
Job type
  • Full-time
  • Remote
  • Quick Apply
Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Platform Engineer in North America .

As a Senior Data Platform Engineer, you will play a key role in designing and building scalable, high-performance data infrastructure that supports millions of events daily. You will work on both batch and streaming data pipelines, transforming raw data into actionable insights for internal teams and external partners. The role involves collaboration with cross-functional teams to optimize data flow, implement robust ETL / ELT patterns, and maintain the architecture of a modern data lakehouse. You will leverage cloud-native tools and open-source technologies to ensure reliability, scalability, and observability of the platform. This position offers the opportunity to solve complex challenges in a distributed, fully remote environment while contributing to the evolution of enterprise-grade data solutions.

Accountabilities :

  • Design, implement, and maintain forward and reverse ETL patterns to deliver data to stakeholders efficiently.
  • Develop scalable transformation layers that ensure repeatable, reliable integrations with BI tools and data consumers.
  • Expand and maintain the company’s Data Lakehouse architecture for structured and unstructured datasets.
  • Collaborate with sales, marketing, product, and operations teams to understand data requirements and implement solutions.
  • Operate and monitor production data pipelines, resolving issues in a timely manner.
  • Implement monitoring, alerting, and data cataloging systems to ensure data quality and observability.

Requirements

  • 7+ years of experience in data engineering, with at least 2 years building scalable, low-latency data platforms handling >
  • 100M events / day.

  • Strong proficiency in Python and SQL, with experience in at least one additional programming language.
  • Hands-on experience with cloud-native technologies such as Docker, Kubernetes, and Helm.
  • Expertise with relational database systems and building transformation layers using SQL modeling tools (e.g., dbt).
  • Experience with ETL / ELT tools like Airflow and Airbyte.
  • Production experience with streaming platforms like Kafka.
  • Exposure to Infrastructure as Code (IaaC) and DevOps practices.
  • Deep understanding of distributed systems, storage, transaction management, and query processing.
  • Ability to work in a fast-paced, remote environment, adapting solutions to evolving business needs.
  • Benefits

  • Competitive salary and stock options.
  • Health benefits and wellness support.
  • One-time home office setup allowance.
  • Monthly stipend for work-related expenses.
  • Fully remote and flexible work model.
  • Opportunities to work on high-impact, scalable data systems.
  • Jobgether AI Matching Process

    Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

    🎯 Based on this analysis, the 3 candidates with the highest match are automatically shortlisted.

    🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias , focusing solely on your fit for the role. Once shortlisted, your profile is shared directly with the hiring company, which manages interviews or further assessments.

    Thank you for your interest!

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