Senior Software Engineer - Data Engineering

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not provided

Teikametrics is seeking a Senior Software Engineer - Data Engineering to design, develop, and scale robust data pipelines for processing massive amounts of data. This role involves working closely with data scientists, analysts, and product engineers to deliver high-performance, scalable solutions. The technology stack includes Databricks, Spark (Scala), Kafka, AWS S3, and other distributed computing tools.

Requirements

• Experience: 4+ years of experience as a professional software/data engineer.
• Background: Strong computer science fundamentals and a background in data engineering, API Integration, or large-scale data processing.
• Skills:
  • Experience with AI, machine learning, or data science concepts.
  • Hands-on experience with Databricks and Spark (Scala).
  • Experience with Kafka, Kinesis, or Flink for real-time data streaming.
  • Familiarity with AWS S3 and other distributed computing tools.
  • ETL (Extract, Transform, Load) process development and management.
  • Data validation, governance, and quality assurance implementation.

Responsibilities

• Design and implement highly scalable, fault-tolerant data pipelines for real-time and batch processing.
• Develop and optimize end-to-end Databricks Spark pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
• Build and manage ETL processes to integrate data from diverse sources into the data ecosystem.
• Implement data validation, governance, and quality assurance mechanisms.
• Collaborate with data scientists, ML engineers, and analysts to integrate AI/ML models into production environments.
• Work with real-time data streaming solutions (e.g., Kafka, Kinesis, or Flink).
• Improve and optimize the performance, scalability, and efficiency of data workflows and storage solutions.
• Document technical designs, workflows, and best practices.

Company Information

Teikametrics' AI-powered Marketplace Optimization platform helps sellers and brand owners to maximize their potential on the world's most valuable marketplaces. Founded in 2015, Teikametrics uses Proprietary AI technology to maximize profitability in a simple SaaS interface. Teikametrics optimizes more than $8 billion in GMV across thousands of sellers around the world, with brands including Munchkin, mDesign, Clarks, Nutribullet, Conair, Nutrafol, and Solo Stove trusting Teikametrics to unlock the full potential of their selling and advertising on Amazon, Walmart and other marketplaces. Teikametrics continues to grow exponentially, with teams spanning 3+ countries. We are financially strong, continuously meeting or exceeding revenue targets, and we invest heavily in strengthening the foundation of our organization.