Remote ETL Developer (Python)

Redefine Data Pipelines From Anywhere

Imagine building data pipelines that empower every team to move faster, adapt smarter, and deliver measurable results—without ever stepping into an office. As a Remote ETL Developer (Python), you’ll architect robust ETL workflows that transform scattered data into a strategic advantage. Your passion for automation and clarity will shape the very backbone of how decisions are made.

Why This Role Matters

When critical business choices depend on reliable, real-time information, your pipelines become more than code—they’re the nervous system of the company. Your expertise in Python, data modeling, and ETL orchestration enables marketing, finance, and product leaders to see the big picture instantly, not after hours of manual cleanup. Every optimized flow you build gives teams the freedom to innovate rather than firefighting broken dashboards.

Your Impactful Responsibilities

• Craft automated, reliable ETL processes using Python, Airflow, and cloud-native tools that transform raw data into actionable insights.
• Monitor pipeline performance and tune for speed and reliability, so business users always have trustworthy data at their fingertips.
• Partner with analysts and engineers to deeply understand business needs, translating them into elegant solutions that scale.
• Document data flows, transformations, and edge cases in a way that empowers new team members to onboard seamlessly.
• Proactively identify opportunities to streamline or modernize legacy data pipelines, ensuring future-readiness and cost efficiency.
• Build custom connectors and integrations for diverse data sources, eliminating friction wherever data enters the system.
• Ensure every data movement is governed by robust quality checks and security best practices, giving leaders confidence to act.

Tools, Technologies, and Workflows

You’ll shape modern data architecture using:

• Python for scripting, automation, and rapid prototyping
• Airflow or similar orchestration platforms to schedule and monitor data flows
• SQL and NoSQL databases for modeling, aggregating, and querying datasets
• Cloud platforms (AWS, GCP, Azure) for serverless ETL, data lakes, and scalable storage
• Version control (Git) for collaborative, review-driven development
• Data quality frameworks to automatically validate, log, and resolve issues before they reach stakeholders
• Remote collaboration tools like Slack, Notion, and Jira to sync across global teams without missing a beat

What Success Looks Like

Within three months, you’ll have taken ownership of a major ETL pipeline, dramatically reducing run failures and boosting refresh speed. Your clear documentation will become the go-to resource for every new hire and analyst. In six months, you’ll have led the migration of at least one legacy process to a future-ready, cloud-based workflow, driving measurable improvements in data access and stakeholder satisfaction. By your first anniversary, your creativity will be felt across the org—everyone will trust that when they open a dashboard, the data is real, recent, and reliable.

The Team Environment

We’re a group of engineers, analysts, and strategists spread across time zones, unified by a commitment to turning data chaos into clarity. You’ll find daily stand-ups full of lively discussion and brainstorming sessions, where every voice contributes to shaping the outcome. We move quickly, but you’ll always have the space to focus intensely and experiment with new ideas. Our async-first culture empowers you to manage your schedule and achieve optimal productivity.

Your Strengths and Experiences

• Deep experience coding data workflows in Python—your scripts are readable, maintainable, and robust
• Expertise in architecting scalable ETL pipelines in production, not just proof-of-concept
• Proficiency with orchestration tools like Airflow, Luigi, or Prefect
• Solid SQL skills and a strong sense for data modeling, normalization, and performance tuning
• Experience working with cloud-native data platforms and a curiosity for emerging tools
• You simplify complex ideas—whether it’s over Zoom or with crisp documentation
• You thrive in a remote environment, communicating proactively and driving results independently
• A formal background in software development, quantitative fields, or substantial proven experience building real-world data solutions

Growth and Learning

We value curiosity and ambition. You’ll get to experiment with cutting-edge ETL technologies, attend virtual conferences, and work alongside talented peers who want to push boundaries. Your input will influence architecture decisions, and your appetite for learning will shape your career trajectory. If you’ve ever wanted to own high-impact projects—and see your contributions reflected in every business win—this is your platform.

Compensation and Perks

For this remote role, the annual salary is $120,000, reflecting our commitment to rewarding impact and expertise. Expect competitive benefits, flexible working hours, and support to design your ideal workspace. We trust you to deliver excellence, and we celebrate the unique energy you bring to our distributed team.

Ready to Build the Future of Data?

If your passion lies in transforming messy datasets into actionable intelligence—and you want to shape how an entire organization makes decisions—we’re excited to connect. Let’s build something meaningful together from wherever you are.