Data Engineer

Ergomed; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Ergomed Group приглашает специалистов по данным для разработки и оптимизации масштабируемых конвейеров интеграции данных, превращения сырых данных в качественные источники для аналитики и моделирования. Вы будете взаимодействовать с командами из разных функций, чтобы улучшать процессы сбора и обработки данных, поддерживая бизнес-цели и регуляторные требования.

Кандидат должен обладать опытом в управлении данными, знанием архитектуры данных и инструментария BI/AI.

Qualifications

• Степень бакалавра в CS/DS/SE или эквивалент
• Опыт управления данными и разработки аналитических платформ
• Опыт работы с кросс-функциональными командами и бизнес-стейкхолдерами
• Понимание архитектуры данных: Data Warehouse/Data Lake/Lakehouse/Data Mesh
• Опыт с базами данных и конвейерами: SQL/NoSQL/PostgreSQL/Oracle/Hadoop
• Навыки аналитики и BI: PowerBI/Tableau/Looker и др.
• Базовые навыки Python, R, Databricks, TensorFlow, SAS
• Способности к решению проблем и отладки
• Умение объяснять сложные концепты руководству
• Креативность, инициативность и соблюдение регуляторных требований

Responsibilities

• Проектирование, построение и оптимизация масштабируемых конвейеров интеграции данных из разных источников
• Преобразование и очистка исходных данных в пригодные к аналитике форматы
• Автоматизация повторяющихся задач подготовки данных
• Мониторинг производительности систем, устранение узких мест
• Обеспечение целостности данных через проверки качества и управление данными
• Сотрудничество с учеными данными и аналитиками для оптимизации моделей ML

Skills

Data integration

Data transformation

ETL pipelines

SQL

Python

BI tools

Communication

Regulatory compliance

Education

Bachelor’s degree in Computer Science/Data Science/Software Engineering

Master’s degree preferred

Tools

SQL

NoSQL

PostgreSQL

Oracle

Hadoop

Kafka

Airflow

Spark

Databricks

Job description

Описание: Medicine moves forward here. So will you. Clinical trials, safety studies, and audits make safe and innovative pharmaceutical-led care possible. As part of Ergomed Group, you help patients benefit so they experience more of life’s meaningful moments. Biopharmaceutical companies are our clients. Patients are our purpose. Ergomed Group brings together Ergomed CRO, PrimeVigilance, Prudentia, and ADAMAS Consulting to help biopharmaceutical companies develop, deliver and safeguard therapies in oncology, rare disease and other complex areas of medicine. Across the Group, our teams turn the signals that clinical trials, safety systems and quality data generate into insight that helps bring safer treatments to patients around the world. The science and analysis that guides our work is demanding. And this is where we excel. What defines us, though, is how we work together. Across countries, cultures and time zones, we bring kindness, curiosity and a shared sense of purpose to work that genuinely matters. Ideas are welcome here. Growth is expected. And every person has room to make a real difference to patients' lives. Whether you are early in your career or bringing decades of experience, we want you to feel valued for what you do and for who you are. If that sounds like the place you have been looking for, we would love to hear from you.

Задачи

• Design, build, and optimize scalable data integration pipelines from various sources (cloud, on-premise, APIs).
• Transform and cleanse raw data into usable formats for advanced analytics and business intelligence.
• Automate manual data preparation tasks using modern data architectures and tools.
• Monitor system performance, troubleshoot bottlenecks, and optimize workflows for maximum efficiency.
• Ensure strict data integrity by implementing robust quality checks and governance standards.
• Partner with data scientists and analysts to optimize ML models and empower business stakeholders to effectively consume data.

Требования

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related quantitative field (Master’s degree or equivalent experience preferred).
• Proven experience in data management (data integration, modeling, optimization, and quality) and developing analytical platforms that drive concrete business value.
• Strong background collaborating with cross-functional teams and business stakeholders on enterprise data initiatives.
• Data Architecture: Strong understanding of Data Warehouse, Data Lake/Lakehouse, Data Fabric, Data Mesh, and MPP engines.
• Database & Pipeline Technologies: Experience with SQL, NoSQL, PostgreSQL, Oracle, Hadoop, and Apache tools (Kafka, Airflow, Spark).
• Analytics & BI: Intermediate experience with BI tools (PowerBI, Tableau, Looker, etc.) and building data solutions to support AI, ML, and BI initiatives.
• Data Science Tools: Basic knowledge of Python, R, Databricks, TensorFlow, SAS, or similar tools.
• Expert problem-solving and debugging skills to resolve issues in complex data systems.
• Excellent communication skills with the ability to translate complex technical concepts for executive, business, IT, and quantitative stakeholders.
• A creative, energetic self-starter with high ethical standards and a strong commitment to regulatory compliance.

Additional Information

When you join Ergomed Group, you make a difference by helping to bring safe and effective pharmaceutical treatment to patients around the world. You’ll join a passionate and collaborative team of experts in clinical research, pharmacovigilance, and quality consulting. We are diverse in many ways, yet our values unite us. Our values are how we work, not words on a wall. If they sound like you, you will feel at home here. Quality: we hold ourselves to the standard patients deserve. Integrity and trust: we do the right thing, especially when it is hard. Drive and passion: we care about the outcome, because someone is waiting on it. Agility and responsiveness: we move quickly, because patients cannot wait. Belonging: everyone is welcome, and every voice counts. Collaborative partnerships: we go further by going together. We look forward to welcoming your application.