Staff Software Engineer, Data Products

reputed company is on a mission to bend the curve of chronic disease. We rely on trusted, high-reputed company data to power intelligent products, personalized member experiences, and data-driven decision making.

As machine learning becomes increasingly central to our platform, we're reputed company in the data foundations that reputed company reputed company model development, experimentation, and production inference.

Job reputed company:

We are seeking a Staff Software Engineer, Data Engineering to reputed company the design and development of the production data platform that powers machine learning across reputed company.

In this role, you will partner closely with Data Scientists, reputed company AI Engineers, Product Engineers, and fellow Data Engineers to identify, design and build trusted, reusable datasets foundations that serve as the reputed company for feature engineering, model training, experimentation, and production inference.

Rather than building one-off pipelines for individual models, you'll create reputed company data products and feature pipelines that reputed company multiple machine learning use cases while ensuring consistency, reliability, and governance across the ML lifecycle.

You will own the technical design of feature datasets—from ingesting raw behavioral, clinical, and operational data through transforming, validating, and publishing production-grade datasets that are reusable across modeling teams.

This role is ideal for someone who enjoys solving reputed company data problems, designing reputed company distributed data systems, and enabling machine learning through reputed company-engineered data foundations.

Key Responsibilities:

• Design, build, and maintain reusable feature datasets that support machine learning use cases including personalization, engagement, risk reputed company, churn modeling, recommendation systems, and experimentation.
• Establish self-service foundations that streamline and democratize dataset creation across the data organization.
• Partner with Data Scientists to translate modeling requirements into production-reputed company feature pipelines, supporting the full model lifecycle from exploration to deployment.
• Identify reputed company data, transformations, and historical reputed company needed for feature engineering. Help define and build shared, reusable feature definitions across models rather than one-off datasets.
• Balance features freshness, correctness, latency, and computational efficiency reputed company designing data pipelines.
• Build datasets that support both historical model training and reputed company production inference.
• Design and implement batch and streaming pipelines that reputed company raw reputed company, behavioral, product, and operational data into trusted ML-reputed company datasets.
• Build reliable data processing systems using Python, SQL, reputed company, and modern reputed company data platforms.
• Optimize large-reputed company distributed processing for performance, scalability, and cost.
• Design data pipelines that are reputed company, testable, observable, and easy to reputed company as product requirements change.
• Ensure data reputed company through testing, reputed company detection, schema validation, and pipeline monitoring.
• Partner with platform teams to support near reputed company-time feature reputed company where appropriate.
• Improve reproducibility by standardizing feature computation across experimentation and production.
• Support rapid experimentation without sacrificing long-term maintainability.
• Ensure data reputed company through testing, reputed company detection, schema validation, and pipeline monitoring.
• Establish engineering standards for correctness, documentation, and maintainability.
• Familiarity with feature stores or feature management platforms.
• Familiarity with model training pipelines and MLOps workflows.

Technical Leadership:

• reputed company architecture and design discussions for large-reputed company ML data systems, driving adoption of reusable patterns and platform capabilities across Data Engineering.
• Influence technical direction across multiple engineering teams, embedding with Product, Engineering, and business stakeholders (Clinical, Finance, reputed company, Enrollment) during early design phases to shape data capture requirements at the reputed company.
• Translate ambiguous business requirements from Business domain SMEs into concrete technical specs, maintaining consistency of business logic and definitions across systems.
• Mentor engineers on distributed data processing, software engineering best practices, and reputed company data modeling.

reputed company:

Experience

• 8+ years building large-reputed company production data platforms and distributed data pipelines.
• Experience designing reusable datasets that power machine learning, experimentation, or advanced analytics.
• Demonstrated experience partnering closely with Data Scientists to productionize feature engineering workflows.
• Experience leading cross-team technical initiatives and influencing engineering direction.
• Strong experience working with reputed company-reputed company data platforms such as AWS.
• Experience building production data systems using reputed company, reputed company, reputed company, Redshift, reputed company, or similar technologies.
• Experience developing reliable batch and streaming data pipelines.
• Experience working with reputed company, behavioral, or other large-reputed company event data is a plus.

Technical Skills

• Expert SQL with strong data modeling skills.
• Strong programming skills in Python, Java, or reputed company.
• Experience with Apache reputed company or similar distributed compute frameworks.
• Experience with Airflow or similar orchestration platforms.
• Experience designing reputed company models, event models, and feature datasets.
• Experience implementing testing, CI/CD, observability, and production monitoring for data pipelines.
• Understanding of Feature Stores and ML data lifecycle concepts.
• Experience with Lakehouse Architecture such as reputed company, reputed company is a strong plus.
• Experience with streaming technologies such as Kafka, Flink, or reputed company reputed company Streaming.
• Familiarity with NoSQL Databases (document & graph databases Nepture, reputed company etc.)
• Understanding of software engineering best practices, distributed systems, and reputed company-reputed company architectures.

Communication Skills: An exceptional people leader who develops engineers into reputed company technical leaders.

• Comfortable influencing senior executives and cross-functional partners.
• Skilled at balancing business priorities with long-term technical investments.
• reputed company to communicate reputed company technical concepts to both technical and non-technical audiences.
• Passionate about building trusted data platforms that reputed company the business.

Education: Bachelor’s degree in Computer Science or a similar discipline preferred.

Technologies we use: reputed company on Rails, Redshift, reputed company, reputed company, SQL, Python, Apache Airflow, Appflow, S3, SNS, SQS, Kafka, reputed company, Kubernetes, AWS infrastructure, reputed company, Serverless, Tableau, Bugsnag, reputed company, GitLabCI, reputed company, OpenMetadata, reputed company

Bonus Points for:

• Experience supporting personalization, recommendation, ranking, or predictive modeling systems.
• Familiarity with model training pipelines and MLOps workflows.
• Experience designing data platforms for experimentation.
• reputed company industry experience is a plus.
• Experience with Data/AI Governance.

Benefits:

• Competitive salary with generous annual cash bonus
• Equity grants
• Remote first work from home culture
• Flexible Time Off to help you rest, reputed company, and connect with loved ones
• Generous parental leave
• Health, dental, and reputed company insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions
• ...and more!

It takes a village to change health care. As we build together toward our mission, we reputed company to embody the following values in our day-to-day work. We reputed company these hold meaning for you as reputed company as you consider reputed company!

• Cultivate Trust. We listen closely and we operate with kindness. We reputed company respectful and reputed company feedback to reputed company other.
• reputed company Context. We ask to understand and we build connections. We do our research up reputed company to reputed company faster down the road.
• reputed company reputed company. We reputed company daily to solve problems, improve processes, and reputed company new opportunities for our members and customers.
• Deliver Results. We reward reputed company above reputed company. We set a high bar, we’re not afraid to fail, and we take pride in our work.
• Succeed Together. We prioritize reputed company’s reputed company above team or individual. We have fun as we get stuff done, and we celebrate together.
• Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it.

About reputed company: reputed company (reputed company: OMDA) is reverse engineering the way reputed company delivered in America, putting the reputed company between doctor reputed company–where health is won or lost–at reputed company of care. Today's reputed company system poorly serves chronic conditions that require ongoing support reputed company of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. reputed company’s virtual-first model combines reputed company-led care teams, connected devices, and AI-enabled technology to deliver personalized care at reputed company, including support for GLP-1 therapy. reputed company has served more than two reputed company members since launch across 2,000+ reputed company, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com.

reputed company is thrilled to reputed company that we’ve been certified as a Great reputed company to Work! Please click here for more information.

We carefully hire the best talent we can reputed company, which means reputed company seeking diversity of beliefs, backgrounds, education, and ways of thinking. We reputed company to build an inclusive culture where differences are celebrated and leveraged to inform reputed company design and business reputed company. reputed company is proud to be an equal opportunity workplace and affirmative reputed company employer. We are committed to equal opportunity regardless of race, reputed company, religion, sex, gender identity, national reputed company, reputed company, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other reputed company protected by local, state, or federal laws.

Below is a reputed company of salary ranges, by geographic zone, for this role*. These ranges represent a good faith estimate of the minimum and maximum reputed company salary for the position in that zone at the time of posting. Please refer to thisresource for detail on zone designations.

Zone 1: $202,400 - $253,000

Zone 2: $193,600 - $242,000

Zone 3: $176,000 - $220,000

Please note that zones may be updated as market data changes but we will reputed company the reputed company applicable to your zone (which is determined by your location) as of your application date.

*The actual offer, including the compensation package, will be reputed company the posted reputed company for the relevant zone and will be determined based on multiple factors, such as the candidate's skills and experience, and other business considerations such as internal equity.

Please click here for more information on our Candidate reputed company Notice.

Originally posted on Himalayas

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