Skip to content

Open nowPosted 21 hours ago

Data Engineer in Test

Prolaio7 open roles

Where
Chicago, IL
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Engineer in TestProlaio · Chicago, IL
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Prolaio's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.3% of postings close within 7 days. Measured by our own scanner across the market. Prolaio postings stay open a median of 7 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.2%30 days
This job: posted 21 hours ago

Prolaio median: 7 days open

The posting

Who Are We?

Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.

This is precision cardiology, and we know it’s within reach.

What Will You Do?

The Overview

As a Data Engineer in Test, you will play a critical role in advancing Prolaio’s mission to transform heart care. In this position, you will collaborate closely with cross-functional teams to validate and optimize data pipelines, ensuring the accuracy and reliability of the data infrastructure that underpins our SaMD products. Your work will be essential in delivering scalable, high-quality data systems that directly support the development of life-changing heart care solutions for patients.

We are looking for a highly driven individual with deep expertise in testing data pipelines, analytical workflows, and large datasets. The ideal candidate will have hands-on experience with cloud-based Data Lake environments (including services like Google Cloud Storage, BigQuery, Databricks, or Snowflake), and generating synthetic data to support testing where real patient data is limited, restricted, or unavailable. Your contributions will ensure the integrity, performance, and scalability of our data infrastructure, aligning with our commitment to delivering safe, effective, and accessible heart care solutions.

The Specifics

  • Develop and execute comprehensive test plans, test cases, and automated test suites for data pipelines to ensure data quality, consistency, and system performance.
  • Test and validate ETL/ELT processes and data workflows across Data Lake environments, confirming the accuracy of data transformations and adherence to business logic.
  • Validate data ingestion, processing, and storage within scalable cloud data platforms such as BigQuery, ensuring computed data correctly reflects raw time-series biosensor inputs.
  • Design, build, and maintain synthetic data generation tools and datasets that mimic real-world time-series biosensor data, enabling thorough test coverage where real patient data is limited or restricted.
  • Collaborate with data engineers and data scientists to define testing requirements and ensure data accuracy throughout the entire data lifecycle.
  • Conduct performance testing and benchmarking on data systems to evaluate scalability under high data loads and identify performance bottlenecks.
  • Monitor and report on key performance metrics, identifying potential data anomalies, inconsistencies, or performance issues.
  • Contribute to the continuous improvement of testing processes, automation frameworks, and tools used across data workflows.

Why Prolaio?

  • Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.
  • Innovative Environment: You will be part of an organization doing something that’s never been done before.
  • Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
  • Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Who You Are?

  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • 3+ years of experience in software testing, with a specific focus on data pipelines, Data Lake, and data warehouses.
  • Strong understanding of data engineering concepts and technologies, including ETL/ELT processes, Data Lake , and cloud-based data warehouses.
  • Proficiency in SQL and Python for data querying, analysis, and test automation.
  • Experience working with cloud-based data platforms, particularly Google Cloud Platform (GCP) and BigQuery.
  • Demonstrated experience generating synthetic data for testing purposes, including designing datasets that realistically represent production data characteristics.
  • Familiarity with data testing tools and frameworks such as pytest, unittest, or TestNG.
  • Strong knowledge of time-series data processing, analysis techniques, and best practices.
  • Excellent problem-solving, analytical, communication, and collaboration skills.

Additional Qualifications (Nice to Haves)

  • Certifications in data engineering or cloud platforms (e.g., GCP Certified Data Engineer, Databricks Certified Data Engineer).
  • Experience in a regulated industry (Healthcare, MedTech, or BioTech), with familiarity with data governance and regulatory compliance frameworks.
  • Prior experience testing systems subject to IEC 62304 or similar SaMD quality standards.

Why You’ll Love Working Here

  • Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
  • Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
  • Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
  • Time to Recharge: Generous paid time off, sick leave, and company holidays.
  • Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
  • Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
  • Plan for the Future: 401(k) plan to help you build long-term financial security.
  • Care When You Need It: Easy access to telehealth and optional supplemental coverage for life’s unexpected moments.

Starting Salary is at $134,000.00 (Exact Compensation may vary based on skills, experience, and location)

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Prolaio's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Prolaio's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Prolaio's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.