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Data Engineer 4 (Manager, IC)

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Richmond, VA

About the Role

At Richmond, a Most Loved Workplace® certified employer in the Pharmaceuticals/Biotechnology space, Accelerating drug development to save lives today and tomorrow.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across Richmond to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.

Want to learn more about what it's like to work at Richmond? View our full profile.

Requirements

  • Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
  • At least 4 years of experience in application development (Internship experience does not apply)
  • At least 2 years of experience in distributed data
  • At least 2 years of experience with SQL
  • At least 2 years of experience with one programming language (Python, Java, or Scala)
  • At least 2 years of experience in data pipeline design and development
  • At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems
  • 7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
  • 4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
  • 4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
  • 4+ years of experience designing, implementing, and operating real-time or streaming data pipelines
  • 2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
  • 4+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
  • 4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
  • 2+ years of experience working in an Agile development environment
  • 2+ years of experience developing user-centric reusable data products

Benefits

  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level
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Why This Is a Most Loved Workplace® Certified Job

What It's Like to Work Here

heart-handshake Authentic Collaboration
lightbulb Continuous Innovation
target Patient-Centric Purpose
users Respect & Inclusion
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Certified for: Global Top 100 Most Loved Workplaces®, UK Top 100 Most Loved Workplaces®, Most Loved Workplace Most Loved Workplaces® 2026, Most Loved Workplace Most Loved Workplaces® 2025, Most Loved Workplace Most Loved Workplaces® 2021

Frequently Asked Questions About Working at Richmond

Common questions candidates ask about this role and Richmond's workplace

We accelerate drug development timelines to help save the lives of patients today. We are committed to advancing science and driving innovations in drug development. We reduce drug development timelines using knowledge and expertise accumulated from over 500 clinical trials.

Please review the specific job listing or contact Richmond's recruiting team for details on remote or hybrid work options for this role.

Salary information may vary by role and location. Please check the specific job listing or discuss compensation during the interview process.

Richmond is an established organization in its industry. The company is a certified Most Loved Workplace®, highlighting a strong, positive culture and committed workforce.

Key benefit categories include: Health & Wellness, Financial Security, Work-Life Balance, Professional Development, Lifestyle & Perks. For this role specifically, benefits include: Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being, Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI), Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. You can view more details on their CertCheck profile.

The day-to-day environment is guided by core values such as Authentic Collaboration and Continuous Innovation and Patient-Centric Purpose.

The company has committed to inclusive practices including: Mission-Driven Impact and Genuine Growth & Development.

They have earned Most Loved Workplace® certifications including: Global Top 100 Most Loved Workplaces® and UK Top 100 Most Loved Workplaces®.

Richmond currently has 9 open positions. You can view all current openings at certcheck.mostlovedworkplace.com/companies/richmond/jobs.

The interview process typically involves an initial recruiter screen followed by team interviews. Please contact Richmond's recruiting team for specific details on this role's process.

Apply for Data Engineer 4 (Manager, IC)

Submit your application directly to the Richmond team. Let them know why you'd be a great addition to their loved place to work.

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