Senior Data Engineer

Valenz; Phoenix (AZ); Remote; USD 90,000 - 130,000; Full time

Job summary

A leading healthcare technology company is seeking a Senior Data Engineer to design and maintain high-performance data pipelines. This fully remote role involves collaboration with cross-functional teams to improve data processing and implement scalable solutions using Databricks on Azure. Ideal candidates will have extensive experience in data engineering and a strong understanding of ETL processes.

Benefits

Generously subsidized Medical, Dental, and Vision insurance.

401K with company match and immediate vesting.

Flexible working environment.

Generous Paid Time Off.

Paid maternity and paternity leave.

Qualifications

• 4+ years experience in a hands-on data engineering role.
• Proficiency with Databricks and/or PySpark is a strong advantage.
• Hands-on experience in developing ETL processes.

Responsibilities

• Design and implement efficient, high-performance data ingestion pipelines.
• Collaborate with cross-functional teams to enhance data processing.
• Drive continuous improvement initiatives to enhance data processing capabilities.

Skills

Problem Solving

Attention to Detail

Organizational Skills

Education

Bachelor’s degree in a quantitative field

Tools

Databricks

PySpark

Job description

Vālenz Health is the platform to simplify healthcare – the destination for employers, payers, providers and members to reduce costs, improve quality, and elevate the healthcare experience. The Valenz mindset and culture of innovation combine to create a distinctly different approach to an inefficient, uninspired health system. With fully integrated solutions, Valenz engages early and often to execute across the entire patient journey – from care navigation and management to payment integrity, plan performance and provider verification. With a 99% client retention rate, we elevate expectations to a new level of efficiency, effectiveness and transparency where smarter, better, faster healthcare is possible.

Vālenz Health is the platform to simplify healthcare – the destination for employers, payers, providers and members to reduce costs, improve quality, and elevate the healthcare experience. The Valenz mindset and culture of innovation combine to create a distinctly different approach to an inefficient, uninspired health system. With fully integrated solutions, Valenz engages early and often to execute across the entire patient journey – from care navigation and management to payment integrity, plan performance and provider verification. With a 99% client retention rate, we elevate expectations to a new level of efficiency, effectiveness and transparency where smarter, better, faster healthcare is possible.

About Our Opportunity:
As a Senior Data Engineer, you’ll design and maintain high-performance data pipelines, automate processes, and implement scalable data storage solutions using Databricks on Azure. You will collaborate with cross-functional teams to enhance data processing, integrate new data sources, and apply best practices in data lake architecture, all while actively contributing to agile development processes.

Things You’ll Do Here :

• Drive continuous improvement initiatives to enhance data processing capabilities across the organization.
• Design and implement efficient, high-performance data ingestion pipelines from diverse sources utilizing Databricks on Azure.
• Develop and maintain reliable data pipelines, automating manual processes to improve efficiency and scalability.
• Collaborate with the Data Engineering team to design and support robust processes for loading data into relational, dimensional, and NoSQL database systems.
• Implement best practices in data lake architecture to ensure scalable, standardized, and optimized data storage and processing solutions.
• Partner with cross-functional teams to identify, evaluate, and acquire new data sources that align with organizational objectives.
• Actively participate in agile development processes, contributing to sprint planning, refinement, and delivery of high-quality solutions.

Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties.

What You’ll Bring to the Team :

• 4+ years experience in a highly technical and hands-on data engineering, or data science role.
• Proficiency with Databricks and/or PySpark is a strong advantage.
• Hands-on experience in developing ETL processes.
• Familiarity with Data Lakehouse systems and/or migrating RDBMS to Lakehouse architectures.
• Strong organizational and time management skills to manage multiple projects with minimal supervision.
• Ability to build and refine processes from the ground up.
• Excellent problem-solving skills, with a keen ability to investigate beyond initial findings.
• Exceptional attention to detail, with a commitment to testing and validating results.
• Comfortable working with unstructured data and navigating ambiguous outcomes.

A plus if you have:

• Bachelor’s degreein a quantitative field such as statistics, mathematics, engineering, or computer science.
• Knowledge of common healthcare data types (e.g., medical claims, eligibility, provider networks, Rx claims) from various sources.
• Python or Databricks certifications

Where You’ll Work: This is a fully remote position, and we’ll provide all the necessary equipment!

• Work Environment: You’ll need a quiet workspace that is free from distractions.
• Technology: Reliable internet connection—if you can use streaming services, you’re good to go!
• Security: Adherence to company security protocols, including the use of VPNs, secure passwords, and company-approved devices/software.
• Location: You must be US based, in a location where you can work effectively and comply with company policies such as HIPAA.

Why You Will Love Working Here

We offer employee perks that go beyond standard benefits and compensation packages – see below!

At Valenz, our team is committed to delivering on our promise toengage early and often for smarter, better, faster healthcare. We want everyone engaged within our ecosystem to bestrong, vigorous, and healthy.You’ll find limitless growth opportunities as we grow together. If you're ready to utilize your skills and passion to make a significant impact in the healthcare self-funded space, Valenz might be the perfect place for you!

Perks and Benefits

• Generously subsidized company-sponsored Medical, Dental, and Vision insurance.
• Spending account options: HSA, FSA, and DCFSA
• 401K with company match and immediate vesting.
• Flexible working environment.
• Generous Paid Time Off to include Vacation, Sick, and Paid Holidays.
• Paid maternity and paternity leave.
• Community giveback opportunities, including paid time off for philanthropic endeavors.

At Valenz, we celebrate, support, and thrive on inclusion, for the benefit of our associates, our partners, and our products. Valenz is committed to the principle of equal employment opportunity for all associates and to providing associates with a work environment free of discrimination and harassment. All employment decisions at Valenz are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics.

Please share why you are interested in Valenz.*

How would you describe your experience level with Databricks?*

How would you describe your experience level with PySpark?*

Describe a scenario where you identified the need to design an ETL pipeline. What was the environment or context that led to this need?*

How do you approach documenting your ETL pipelines for future maintainability and team collaboration?*

What are your salary expectations for this role?*

Are you presently employed, or have you been previously employed with Valenz?*

Will you now or in the future require sponsorship for employment?*