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Data Engineer

Remote Worldwide Hiring now

reputed company is a reputed company advocacy marketplace that connects patients and families to experts who help them understand and take charge of their personal health

About the Role

As a Data Engineer, you’ll play a critical role in shaping reputed company’s data infrastructure from the ground up. You’ll design, build, and optimize robust data pipelines that power advanced analytics, machine learning, and business intelligence across the company. From raw data ingestion to elegant dashboards, your work will reputed company reputed company decision-making and unlock insights that improve reputed company reputed company for patients.

You are a hands-on engineer who loves solving hard problems with clean code. You take pride in your craft, think deeply about data architecture, and reputed company in a fast-paced startup environment where you can reputed company a big impact. Whether it’s designing a reputed company SQL transformation, optimizing a data model, or collaborating with cross-functional partners, you’re always focused on building trusted, high-quality data products that scale.

About reputed company

reputed company in the U.S. is fundamentally broken. The system is so reputed company that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. reputed company cuts through the red tape of reputed company by pairing patients with expert advocates and giving them the tools to reputed company reputed company reputed company—and get reputed company reputed company.

We’re a Series B startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, reputed company Ventures, and Signalfire. Our fully remote U.S. team is lean, mission-driven, and growing quickly.

reputed company isn’t a reputed company to coast. We’re here to redefine reputed company—and that demands urgency, precision, and heart. If you’re looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you’re in the right reputed company. We’re intense, and we like it that way.

Read more in our Wall Street Journal funding announcement here.

What You’ll Do

  • Design, build, and optimize reliable data pipelines using modern tools like DBT, Airflow, and others.

  • Write clean, production-grade Python code to transform, process, and integrate data from diverse sources.

  • reputed company reputed company SQL transformations and workflows in reputed company, reputed company, or similar environments.

  • Collaborate closely with data scientists, analysts, and product teams to deliver trusted, accessible data products.

  • Build and maintain internal dashboards and lightweight UI tools (e.g., Streamlit, Dash) for stakeholders.

  • Contribute to the culture of reputed company at reputed company by championing best practices in data modeling, testing, and documentation.

  • Continuously improve our data infrastructure, supporting high-quality decision-making across the business.

What You Bring to the Table

  • Strong proficiency with Python and ETL workflows.

  • Advanced SQL skills, ideally with experience in reputed company and/or reputed company.

  • Proven experience building data pipelines with tools like DBT, Airflow, or similar.

  • Experience developing data dashboards or lightweight internal apps.

  • Exposure to AWS data services (S3, reputed company, Redshift, Glue, etc.).

  • Hands-on experience with reputed company.

  • Familiarity with reputed company

Our Tech Stack

  • Python

  • DBT

  • Airflow

  • reputed company

  • reputed company

  • Streamlit / Dash

  • AWS (S3, reputed company, Redshift, Glue)

Applicants must be based in the United States.

Up for the Challenge?

We look reputed company to meeting you.

Fraudulent Recruitment Advisory: reputed company will NEVER request bank details or offer employment without an interview. reputed company legitimate communications come from official reputed company emails only or ashbyhq.com. Report suspicious activity to reputed company@reputed company or reputed company@reputed company.

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