Data Engineer

RIS Rx; Newport Beach (CA); On-site; USD 120,000 - 140,000; Full time

Job summary

An innovative healthcare technology organization is seeking a skilled Data Engineer to enhance their data capabilities. You will play a vital role in building scalable data pipelines and architectures, ensuring real-time data processing and governance. The ideal candidate will have a strong background in SQL, AWS, and big data tools, along with proficiency in Python and Golang. This position offers the opportunity to work on impactful solutions that improve patient access and outcomes, making a real difference in the healthcare landscape. Join a dynamic team committed to innovation and excellence in delivering accessible healthcare solutions.

Benefits

Vision insurance

Medical insurance

401(k)

Qualifications

• 5+ years of experience in data engineering or a similar role.
• Strong expertise in SQL and database design, specifically in Postgres.
• Hands-on experience with AWS big data tools.

Responsibilities

• Design, build, and maintain scalable ETL pipelines for data processing.
• Develop real-time data processing solutions for streaming data.
• Collaborate with the Engineering team for model training support.

Skills

SQL

PostgreSQL

AWS

Python

Golang

Apache Spark

Data Governance

Data Quality

Machine Learning

Scrum

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS S3

AWS Glue

Terraform

Pulumi

Kafka

Power BI

Job description

This range is provided by RIS Rx. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $140,000.00/yr

Direct message the job poster from RIS Rx

Talent Acquisition & People Ops Business Partner

Job Title: Data Engineer

Reports to: Sr. Manager, Software Engineering in Technology

Job Type: Full-time

Location: Newport Beach, CA

Salary Range: $120K-$140K

About Our Organization: RIS Rx (pronounced “RISE”) is a healthcare technology organization with a strong imprint in the patient access and affordability space. RIS Rx has quickly become an industry leader in delivering impactful solutions to stakeholders across the healthcare continuum. RIS Rx is proud to offer an immersive service portfolio to help address common access barriers. We don’t believe in a “one size fits all” approach to our service offerings. Our philosophy is to bring forward innovation, value and service to everything that we do. This approach has allowed us to serve countless patients to help produce better treatment outcomes and improved quality of life. Here at RIS Rx, we invite our partners and colleagues to “Rise Up” with us to bring accessible healthcare and solutions for all.

Summary: We are seeking a highly skilled Data Engineer to join our team and play a crucial role in building and maintaining scalable, high-performance data pipelines and data lake architectures. You will be working with large data sets across multiple products, ensuring real-time data processing, data quality, and governance that support machine learning and model training efforts. The ideal candidate has deep expertise in SQL, PostgreSQL, AWS, data lakes, and big data tools like Spark, along with strong proficiency in Python and Golang.

Duties and Responsibilities include but are/ not limited to the following:

• Design, build, and maintain scalable ETL pipelines for processing structured and unstructured data.
• Develop and optimize data lakes using AWS S3, AWS Lake Formation, and Glue to enable efficient data storage and retrieval.
• Develop real-time data processing solutions to handle streaming data efficiently.
• Automate and monitor data workflows to ensure system reliability and performance.
• Optimize and manage PostgreSQL databases for performance and scalability.
• Utilize AWS services (e.g., S3, Glue, Lambda, Kinesis) for cloud-based data processing.
• Work with Apache Spark or similar big data processing frameworks.
• Ensure data quality, governance, and security best practices are implemented for data lakes and pipelines.
• Collaborate with Engineering team to support model training and deployment.
• Write efficient, well-structured SQL queries for data analysis and transformation.
• Develop and maintain data infrastructure using Python, Golang, Terraform, and Pulumi.

Qualifications/Skills:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 5+ years of experience in data engineering or a similar role.
• Strong expertise in SQL and database design, specifically in Postgres.
• Hands-on experience with AWS big data tools (e.g., S3, Glue, Lake Formation, Lambda, Kinesis).
• Proficiency in big data processing frameworks such as Apache Spark.
• Strong programming skills in Python/Golang and Terraform/Pulumi.
• Experience with real-time data processing using tools like Kafka or Kinesis.
• Implemented data governance, data quality, and security best practices.
• Experience working with machine learning pipelines and supporting model training.
• Experience with Scrum and Agile processes.
• Preferred experience with Power BI.
• Effective communication and problem-solving skills and the ability to work in a fast-paced environment.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Inferred from the description for this job

Vision insurance

Medical insurance

401(k)

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