Research Data Engineer

Alphatec Spine•Carlsbad, CA

2d•$110,000 - $130,000•Onsite

About The Position

We are a US-based company focused on advancing clinical research and medical technologies. We are seeking a Research Data Engineer to support clinical research activities by building and maintaining reliable data pipelines and preparing high-quality datasets for researchers and analysts. This role emphasizes batch data processing, data quality, data transformation and processing and enabling efficient, compliant access to research data.

Requirements

Bachelor’s degree in Computer Science, Data Science, Bioinformatics, or related STEM fields.
2–4 years of experience in data engineering or a related role.
Strong proficiency in Python or similar language for data processing.
Solid SQL skills for querying, transformation, and optimization.
Experience building and maintaining batch ETL/ELT pipelines.
Experience with cloud platforms (Azure preferred).
Strong attention to detail and commitment to data quality.
Effective communication with both technical and non-technical stakeholders.
Ability to work independently and manage multiple priorities.
Bachelor’s degree from four-year College or university in Computer Science, Machine learning, physics, mathematics or equivalent STEM experience.
2 years Internship or project experiences can be considered for years of experience.
Candidates must be authorized to work in the United States without the need for current or future employer sponsorship.

Nice To Haves

Experience with clinical, healthcare, or research datasets.
Familiarity with Databricks, Spark, or workflow orchestration tools.
Strong analytics and data visualization skills
Experience with using statistical and/or machine learning algorithms for data analysis

Responsibilities

Ingest, process, and manage clinical and research datasets from internal and external sources.
Design data models and datasets optimized for researcher and analyst use.
Maintain datasets used in research studies, ensuring consistency, traceability, and documentation.
Design, build, and maintain batch data pipelines for scheduled ingestion, transformation, and delivery.
Optimize and monitor batch workflows to ensure performance, reliability, and scalability.
Troubleshoot and resolve issues in data pipelines and scheduled jobs.
Implement data validation, quality checks, and monitoring processes.
Identify and resolve data inconsistencies, anomalies, and gaps.
Ensure compliance with healthcare data regulations (e.g., HIPAA, GDPR).
Partner with researchers and analysts to deliver clean, well-structured datasets.
Develop SQL queries and data transformations to support reporting and analysis.
Assist with exploratory data analysis and data preparation workflows.
Work cross-functionally with clinical, analytics, and engineering teams.
Document data pipelines, schemas, and workflows to ensure transparency and reproducibility.