Remote Senior Data Engineer

June 6, 2024

Job Description

We’re a self-funded startup with a mission to support sellers on platforms like Walmart and Amazon, regardless of their experience level, by aiding them in identifying lucrative products. Our aim is to provide tools that streamline product and market research efforts, saving time and energy. While we’re not the initial players in this field, our ambition is to lead by delivering actionable insights and inventive solutions.

Job Title: Senior Data Engineer / Analytics Engineer (Part-time or Full-time)

Schedule: Flexible (Self-Managed)

What We’re Looking For:

  • Initiative-taker with strong analytical skills, capable of discerning insights from intricate data.
  • Proficient in English, both written and spoken.
  • Ability to work independently and remotely.
  • Keen eye for detail and a commitment to delivering top-notch work.
  • Willingness to endure short-term challenges for long-term success.
  • Availability to work in the PST timezone.

Responsibilities:

  • Spearhead the development and maintenance of our data infrastructure, prioritizing scalability and efficiency.
  • Make pivotal decisions regarding tools, data models, and processing strategies, considering factors like PostgreSQL, BigQuery, Redshift, or PySpark with AWS EMR, with a focus on future scalability and efficiency.
  • Collaborate with the founding team to comprehend data requirements and deliver insights crucial for business decisions.
  • Design and implement robust data models supporting our product and market research functionalities.
  • Utilize various data sources including APIs, crowd-sourced data, and web scraping to enhance our dataset.
  • Establish and manage database infrastructure for facilitating ad-hoc search, filter, and sort capabilities on our dashboard.
  • Develop data infrastructure for maintaining historical product timelines, enabling trend analysis and market forecasting.

Required Experience:

  • Strong business understanding and the ability to translate business needs into data solutions.
  • Demonstrable experience in data modeling and SQL.
  • Basic familiarity with git.
  • Experience with data visualization and dashboard development is advantageous.
  • Minimum 3 years of relevant experience.

Tech Stack Knowledge:

  • Proficiency in data processing frameworks like Apache Spark, AWS EMR, Airflow.
  • Familiarity with cloud providers such as AWS, GCP, Azure.
  • Knowledge of relational databases like PostgreSQL.
  • Exposure to front-end technologies like Vue 3 and Chart.js for dashboard development is beneficial.

Application Process:

  • Provide a video detailing a previous project, including encountered problems, your approach to solving them, outcomes, and performance impact.
  • Participate in a culture-fit screening call with the Founder.
  • Undergo a technical interview with the Lead Engineer.

Compensation: Negotiable, based on experience and qualifications. Equity options available.

How to Apply: Complete our brief survey at the provided link and share any relevant experience in data engineering or analytics roles. Include the word “COMFORTABLE” in your application to indicate you’ve thoroughly read the job post.

Join Us: This isn’t just a job; it’s an opportunity to build a career with us. We seek someone committed to making a long-term impact and contributing to our vision.

Salary and Compensation: $10,000 — $30,000/year

Benefits:

  • 💰 Profit sharing
  • ⬜️ No whiteboard interviews
  • 👀 No monitoring system
  • 🚫 No office politics
  • 🎅 We welcome individuals of all ages.