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Research Data EngineerDormont Manufacturing Company • Carlsbad, California, United States
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Research Data Engineer

Dormont Manufacturing Company
  • US
    Carlsbad, California, United States
  • US
    Carlsbad, California, United States
Jetzt Bewerben

Über

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.
Essential Duties and Responsibilities Clinical Research Data Support
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.
Batch Data Engineering
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.
Data Quality and Governance
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).
Analytics Enablement
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.
Collaboration and Documentation
Work cross‑functionally with clinical, analytics, and engineering teams.
Document data pipelines, schemas, and workflows to ensure transparency and reproducibility.
Requirements Technical Skills
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).
Soft Skills
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.
Preferred Qualifications
Experience with clinical, healthcare, or research datasets.
Familiarity with Databricks, Spark, or workflow orchestration tools.
Strong analytics and data visualization skills.
Experience with statistical and/or machine learning algorithms for data analysis.
Education and Experience
Bachelor’s degree from a four‑year college or university in Computer Science, Machine Learning, Physics, Mathematics, or equivalent STEM experience.
Internship or project experience may be considered in lieu of full years of experience.
Equal Employment Opportunity & Other Disclosures ATEC is committed to providing equal employment opportunities to its employees and applicants without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, gender expression, or any other protected status in accordance with all applicable federal, state or local laws. Further, ATEC will make reasonable accommodations that are necessary to comply with disability requirements.
Salary Range Alphatec Spine, Inc. complies with state and federal wage and hour laws and compensation depends upon candidate’s qualifications, education, skill set, years of experience, and internal equity. $110,000 to $130,000 Full‑Time Annual Salary
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  • Carlsbad, California, United States

Sprachkenntnisse

  • English
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