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Open nowPosted 4 days ago

Senior Data Engineer – Clinical Platforms (Databricks)

muttdata29 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowSenior Data Engineer – Clinical Platforms (Databricks)muttdata · Remote

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 4 days ago

The posting

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀

At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.

We are looking for an experienced, ownership-driven Senior Data Engineer to join our team 🐶🚀. You'll lead the architecture, design, and implementation of a next-generation, in-house clinical trial software platform built directly on Databricks, bridging the gap between software development and large-scale data engineering.

This role works closely with frontend developers, software architects, clinical research teams, and Clinical QA and Validation teams. It requires solid hands-on experience with Databricks and a strong understanding of clinical data standards and regulated environments. Ownership, clear communication, and the ability to build robust, compliant, and scalable solutions are essential to succeed in this fast-paced, collaborative environment.

🚀 What We Do

  • Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
  • Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
  • Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
  • Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
  • Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
  • Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

  • Amazon Web Services
  • Astronomer
  • Databricks

🌟 Our Values

  • 📊 We are Data Nerds
  • 🤗 We are Open Team Players
  • 🚀 We Take Ownership
  • 🌟 We Have a Positive Mindset

Responsibilities 🤓

  • Design, build, and optimize enterprise data pipelines, lakehouse storage layers, and data models using Databricks (PySpark, Spark SQL, Delta Lake) to power custom clinical application backends.
  • Collaborate with frontend developers, software architects, and clinical research teams to build API-driven endpoints, data ingestion engines, and query layers for proprietary clinical trial software.
  • Build performant, standards-compliant data structures to store EDC outputs, audit trails, device telemetry, and patient-reported outcomes, enabling rapid querying and downstream analytics.
  • Partner with Clinical QA and Validation teams to ensure database structures, data pipelines, and clinical data repositories comply with GxP, 21 CFR Part 11, HIPAA, and GDPR.
  • Implement real-time and batch ingestion jobs connecting legacy clinical systems, central labs, EHRs, and wearable devices into a unified Databricks Lakehouse architecture.
  • Monitor, troubleshoot, and optimize Spark jobs, Delta Lake tables, and query execution times to support high-throughput, low-latency clinical platform workflows.

Required Skills 💻

  • 4+ years of hands-on experience building production data pipelines and lakehouse architectures using Databricks, Delta Lake, and Apache Spark (PySpark or Scala).
  • Demonstrated experience building, extending, or maintaining custom software applications for clinical trials (e.g., custom EDC, CTMS, Clinical Data Repositories, or eCOA/ePRO platforms).
  • Deep understanding of clinical data standards and regulatory environments, including CDISC (SDTM, ADaM, CDASH), 21 CFR Part 11, GxP validation, and ICH-GCP guidelines.
  • Strong experience with relational schema design, dimensional modeling, and unstructured data handling within Delta Lake environments.
  • Proficiency in Python, SQL, RESTful API integrations, CI/CD pipelines, Git, and automated testing frameworks.
  • Experience working in cloud environments (AWS preferred, Azure or GCP).
  • Advanced English to discuss technical requirements and solutions with clients in the United States

Nice to have 💻

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Bioinformatics, or a related quantitative field.
  • Experience with Databricks Workflows, Delta Live Tables (DLT), and Unity Catalog governance.
  • Background working in a validated system environment (Computer System Validation / CSV).

🎁 Perks

  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • In-Company English Lessons.
  • Birthday off + an extra vacation week (Mutt Week! 🏖️)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • 👶 Monthly Childcare Reimbursement – Because supporting families matters too
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