Data Engineer

Q-Centrix; United States; Remote; USD 110,000 - 125,000; Full time

Job summary

Join a leading company in clinical data management as a Data Engineer. You'll design and optimize data pipelines, collaborate with cross-functional teams, and contribute to innovative solutions that enhance healthcare data management. This role offers growth opportunities in a dynamic environment focused on quality healthcare.

Benefits

Remote/hybrid flexibility

Generous time off program

Robust benefits package

401(k) retirement plan with company match

Qualifications

• 4+ years’ experience in a data engineering role.
• Strong programming skills for building data pipelines and ETL processes.
• 2-3 years experience with cloud platforms and data services.

Responsibilities

• Design and maintain scalable data pipelines for clinical data.
• Collaborate with teams to understand data requirements.
• Monitor and resolve data pipeline issues.

Skills

Python

Java

Scala

SQL

Problem-solving

Communication

Education

Bachelor’s degree in computer science

Bachelor’s degree in Information Technology

Bachelor’s degree in Engineering

Tools

PostgreSQL

SQL Server

AWS

GCP

Azure

Docker

Tableau

Power BI

dbt

Informatica

Airflow

Job description

We’re super into the work we do and the community we’ve built and think you might be, too.

Q-Centrix is the largest exclusive provider of clinical data management solutions to acute care hospitals. A market disruptor and innovator, Q-Centrix believes that there is nothing more valuable than clinical data as it is critical in delivering safe, consistent, quality healthcare for all. Bringing together deep expertise across providers, clinical knowledge, data and software, Q-Centrix provides an integrated approach that can redefine and streamline the data management and real-world application process for the healthcare industry, thereby enabling increased efficiency and exciting new solution opportunities.

Providing the industry’s first Enterprise Clinical Data Management (eCDM) platform, Q-Centrix utilizes its market-leading software, the largest and broadest team of clinical data experts, a modern-stack software and reporting data structure, and best practices from its 1,200+ hospital partners to securely extract, curate, structure, and enhance clinical data at the highest quality level. The resulting high quality structured clinical data is then utilized to support reporting demands, drive improved care delivery, meet financial and operational needs, enable population health workflows and power broad research use cases. Its solutions cover a breadth of clinical segments, including cardiovascular, oncology, infection prevention, trauma and real-world data applications. Q-Centrix’s platform enables its partners to access valuable clinical information that may otherwise be trapped across multiple workflow systems and clinical information platforms. Q-Centrix is positioned for continued growth as they integrate new capabilities and business lines.

Backed by a leading global private equity growth firm, TPG, Q-Centrix will continue to invest heavily in technology (data, software, automation), people, and processes that can accelerate access to high quality structured clinical data at scale and facilitate greater real world data applications.

Job Summary

Q-Centrix is committed to leveraging data-driven insights to provide advanced capabilities for our partners in quality reporting, analysis, and improvement. As part of our continued growth, we’re seeking a talented, ambitious, Data Engineer to join our dynamic team and contribute to our data infrastructure and analytics capabilities.

Essential Functions

• 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.
• As a growth organization, roles and responsibilities often evolve and adapt over time. As such, this job description may not comprehensively account for future activities, responsibilities, and priorities—these may evolve right along with us!
  
  

Required Abilities, Education, And Skills

• 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.
  
  

Preferred Abilities, Education And Skills

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

Supervisory Responsibilities: None

Work environment/Physical Demands: Continuous sitting and fine manipulation.

Travel Requirements: 5%

Work Authorization: Legally able to work in the United States without sponsorship

Total Rewards

At Q-Centrix, our purpose—safer, consistent, quality healthcare for all—drives everything we do. To accomplish this important work, we aim to attract, engage, and retain a talented team by offering a compelling, equitable rewards package. This includes an inclusive culture, a flexible work environment, learning and development opportunities, and robust benefits that support both health and financial wellness. In addition, our supportive community fosters collaboration, learning, growth, and enjoyment, making Q-Centrix a place where meaningful work and a positive work experience go hand in hand. It’s no wonder we’ve earned the Great Place to Work distinction multiple years in a row! The target salary range for this role is $110,000.00 - $125,000.00 plus an annual bonus targeted at 5% of the individual's annual salary. An individual’s salary within this range is based on multiple factors including but not limited to skills, experience, licensure, certifications, and other business and organizational considerations. The annual bonus payout may be higher or lower than target, dependent on individual and company performance and is considered variable pay

In addition to our inclusive and innovative working environment and comprehensive compensation package, team members enjoy:

• 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.

Commitment To Diversity, Equity, Inclusion And Belonging

At Q-Centrix, we hire people who love learning, value innovation, and believe in our purpose of safer, consistent, quality health care for all. We applaud qualified applicants who are accountable and committed to producing quality work. As an Equal Opportunity Employer, we support and value diversity, dignity, and respect in our work environment, and are committed to creating an inclusive environment in which everyone can thrive.

We employ people based on the needs of the business and the job, and their individual professional qualifications. Here’s what does not impact our employment decisions: race, religious creed, religion, color, sex, sexual orientation, pregnancy, parental status, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status, health, marital, civil union or domestic partnership status, or any status or characteristic protected by the laws or regulations in locations where we operate. If you are an individual with a qualified disability and you need an accommodation during the interview process, please reach out to your recruiter.

Candidate Privacy Statements

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Engineering

• Industries

  Hospitals and Health Care

Referrals increase your chances of interviewing at Q-Centrix by 2x

Get notified about new Data Engineer jobs in United States.

United States $170,000.00-$720,000.00 6 hours ago

Data Visualization Engineer (L5) - Product

United States $170,000.00-$720,000.00 6 hours ago

New York, NY $126,100.00-$186,800.00 2 weeks ago

San Francisco, CA $126,100.00-$186,800.00 2 weeks ago

San Francisco, CA $126,100.00-$186,800.00 2 weeks ago

Seattle, WA $126,100.00-$186,800.00 2 weeks ago

Austin, TX $126,100.00-$186,800.00 2 weeks ago

United States $126,100.00-$186,800.00 2 weeks ago

Mountain View, CA $126,100.00-$186,800.00 2 weeks ago

Washington DC-Baltimore Area $120,000.00-$135,000.00 6 days ago

United States $114,000.00-$171,000.00 1 week ago

Data Engineer, Analytics (Technical Leadership)

United States $206,000.00-$281,000.00 1 week ago

United States $100,000.00-$120,000.00 2 weeks ago

United States $100,000.00-$720,000.00 3 weeks ago

United States $100,000.00-$720,000.00 2 weeks ago

Washington DC-Baltimore Area $110,000.00-$120,000.00 1 week ago

United States $145,000.00-$204,000.00 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.