Senior Data Engineer, Observability Engineering

CVS Health Corporation; Washington (District of Columbia); Hybrid; USD 93,000 - 222,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision coverage

Paid time off

Job summary

CVS Health is seeking a Senior Data Engineer, Observability Engineering to design, build, and operate Databricks-based data pipelines powering enterprise observability, security analytics, and operational intelligence.

You will transform high-volume telemetry data and collaborate with Security, Infrastructure, and Platform teams to ensure governance, reliability, and cost-efficient data platform operations.

Qualifications

• 5+ years of experience building enterprise data solutions using Python, Spark, PySpark, SQL.
• 5+ years designing and operating large-scale data pipelines and bronze/silver/gold lakehouse architectures across multiple data sources.
• 4+ years working with Databricks in production environments, including Delta Lake and Unity Catalog.
• 3+ years developing high-volume batch and streaming data solutions with data quality controls and reliability.
• 2+ years collaborating with engineering teams, participating in code reviews, and communicating technical solutions to diverse stakeholders.

Responsibilities

• Design, build, deploy, and support scalable Databricks-based data pipelines and lakehouse solutions ingesting observability, infrastructure, and security data.
• Develop and optimize PySpark workloads and Structured Streaming jobs for high performance and reliability.
• Partner with Security, Infrastructure, Observability, and Platform Engineering to onboard data sources and enforce governance standards.
• Contribute to engineering standards, CI/CD practices, monitoring strategies, and platform optimization.
• Promote best practices for Databricks, Delta Lake, Unity Catalog, data governance, and access management.

Skills

Python

PySpark

SQL

Databricks

Structured Streaming

Data lakehouse

Unity Catalog

CI/CD

Education

Bachelor's degree

Tools

Databricks

GitHub Actions

Azure DevOps

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

POSITION SUMMARY

CVS Health is seeking a highly skilled Senior Data Engineer, Observability Engineering to join the Enterprise Observability Platform organization and help advance the next generation of observability, infrastructure, and security data capabilities. The Senior Data Engineer, Observability Engineering will play a critical role in designing, building, and operating scalable data pipelines and data products that power enterprise observability, operational intelligence, and security analytics across the organization. The Senior Data Engineer, Observability Engineering is a senior individual contributor responsible for developing and optimizing Databricks-based data engineering solutions that ingest, transform, govern, and deliver high-volume telemetry, infrastructure, application, and security data. This role combines deep hands-on technical execution with ownership of engineering excellence, operational reliability, performance optimization, and data platform best practices.

PRIMARY RESPONSIBILITIES

• Design, build, deploy, and support scalable Databricks-based data pipelines and lakehouse solutions that ingest, transform, and curate observability, infrastructure, and security data from multiple enterprise sources.
• Develop and optimize PySpark workloads, Structured Streaming jobs, and bronze/silver/gold data architectures while ensuring high performance, reliability, scalability, data quality, and operational excellence.
• Partner with Security, Infrastructure, Observability, and Platform Engineering teams to onboard new data sources, establish governance standards, improve metadata management, and deliver trusted enterprise data products.
• Contribute to engineering standards, code reviews, CI/CD practices, monitoring strategies, and platform optimization efforts while proactively identifying and addressing technical debt, process gaps, and operational risks.
• Support the ongoing evolution of the enterprise observability lakehouse by promoting best practices for Databricks, Delta Lake, Unity Catalog, data governance, security controls, access management, and cost-efficient data platform operations.

REQUIRED QUALIFICATIONS

• 5+ years of experience building and supporting enterprise data engineering solutions using Python, Spark, PySpark, SQL, and distributed data processing technologies.
• 5+ years of experience designing, developing, and operating large-scale data pipelines, data ingestion frameworks, and bronze/silver/gold lakehouse architectures across multiple data sources.
• 4+ years of experience working with Databricks in production environments, including Delta Lake, Unity Catalog, Databricks Asset Bundles, serverless SQL, performance optimization, and platform operations.
• 3+ years of experience developing high-volume batch and streaming data solutions, implementing data quality controls, troubleshooting pipeline issues, and improving reliability, scalability, and operational efficiency.
• 2+ years of experience collaborating with engineering teams, participating in code reviews, contributing to technical standards, applying cloud security and access management principles, and communicating technical solutions to both technical and non-technical stakeholders.

PREFERRED QUALIFICATIONS

• Experience building Structured Streaming and near real-time ingestion solutions within Databricks or similar cloud-native data platforms.
• Experience implementing Databricks governance capabilities, including Unity Catalog, storage credentials, external locations, catalog management, and access control frameworks.
• Familiarity with OCSF or similar observability, cybersecurity, or security event normalization frameworks.
• Experience implementing CI/CD pipelines for data engineering solutions using Databricks Asset Bundles, GitHub Actions, Azure DevOps, or equivalent automation frameworks.
• Prior experience supporting observability, infrastructure, cybersecurity, logging, telemetry, or operational analytics platforms in large-scale enterprise environments.

EDUCATION

Bachelor's degree from an accredited university or equivalent work experience (High School Diploma/GED plus 4 years of relevant experience).

BUSINESS OVERVIEW

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human‑centric healthcare for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make healthcare more personal, convenient, and affordable.

We strive to promote and sustain a culture of diversity, inclusion, and belonging every day. CVS Health is an affirmative action employer and is an equal opportunity employer, as are the physician‑owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active duty, veterans, reservists, National Guard members, and military spouses) to apply for CVS Health job opportunities.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is: $92,700.00 - $222,480.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 10/31/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.