Data Engineer

Summary

Join Q-Centrix, a leading provider of clinical data management solutions, as a Data Engineer. You will design, develop, and maintain data pipelines, collaborating with various teams to meet data requirements. Optimize data processes for performance and reliability, troubleshoot issues, and integrate new data sources. Stay current with emerging technologies and mentor junior team members. This role offers opportunities for growth and development within a dynamic and innovative company. The position requires a Bachelor's degree in a related field, 4+ years of data engineering experience, strong programming skills (Python, Java, or Scala), and experience with cloud platforms (AWS, GCP, or Azure).

Requirements

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field
• 4+ years’ experience in a data engineering role
• Strong programming language skills such as Python, Java, or Scala for building data pipelines and ETL processes
• Excellent SQL skills and experience working with relational database (e.g., PostgreSQL, SQL Server)
• 2 to 3 years of experience with cloud platforms such as AWS, GCP, or Azure and their data services (e.g., Redshift, Snowflake, BigQuery, or Databricks)
• 2 to 3 years of experience with AWS Data Services such as S3, Glue, EC2, and Athena
• 1 year of experience with Docker
• Familiarity with data visualization tools (e.g., Tableau, Power BI)
• Firm understanding of data architecture, deployment, and optimization best practices
• 2 to 3 years of experience with ETL/data integration tools such as dbt, Informatica, or Airflow
• Experience with common Project Management methodologies including waterfall, agile, and project planning
• Strong problem-solving skills, attention to detail, and ability to work effectively in a fast-paced and collaborative environment
• Excellent communication and teamwork skills

Responsibilities

• Design, develop and maintain robust and scalable data pipelines for ingesting, processing, and transforming clinical data from various sources
• Collaborate with data scientists, analysts, product management, and other stakeholders to understand data requirements and translate them into technical solutions
• Optimize data processes for performance, reliability, and efficiency to ensure timely delivery of high-quality data for analytics and reporting purposes
• Monitor, troubleshoot, and resolve issues related to data pipeline failures, data quality issues, and performance bottlenecks
• Work closely with cross-functional teams to integrate new data sources, implement data model changes, and support ad-hoc data analysis requests
• Stay current with emerging technologies and trend in data engineering and recommend innovative solutions to enhance our data infrastructure
• Provide technical guidance and mentorship to junior members of the team

Preferred Qualifications

• AWS Certified Data Engineer
• 2+ years of experience designing, developing, and implementing solutions with Amazon Redshift

Benefits

• Remote/hybrid flexibility (depending on location) and a generous time off program with additional paid time for volunteering
• Robust benefits package including medical, vision, dental, health savings accounts, company paid short- and long-term disability, employee assistance program, paid parental leave, life insurance, accident insurance, and other voluntary benefit programs for employees and their eligible dependents
• 401(k) retirement plan with a company match
• Opportunities for professional development