Senior Software Engineer, Data Engineering Remote, USA

Senior Software Engineer, Data Engineering Remote, USA Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time. Job Overview We are dedicated to leveraging data to drive strategic decision-making and operational efficiency. Our team is passionate about harnessing the power of data to solve complex problems and deliver impactful insights. Responsibilities Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization. Data Modeling: Create and maintain logical and physical data models to support business intelligence, analytics, and reporting requirements. Pipeline Engineering: Design, build, and optimize ETL (Extract, Transform, Load) processes and data pipelines to ensure smooth and efficient data flow from various sources. Data Integration: Integrate diverse data sources, including APIs, databases, and third‑party data, into a unified data platform. Performance Optimization: Monitor and optimize the performance of data systems and pipelines to ensure low latency and high throughput. Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to ensure the accuracy and reliability of data. Collaboration: Partner closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs. Documentation: Maintain comprehensive documentation of data architectures, models, and pipelines for ongoing maintenance and knowledge sharing. Training: Train and collaborate with teammates effectively in data engineering best practices. Technical Influence/Leadership: Recommend policy changes and establish department-wide procedures. Use extensive experience and knowledge to resolve complex problems. Production Management: Monitor and manage the production environment to deliver data within defined SLAs. Impact Evaluate, benchmark, and improve the scalability, robustness, and performance of our data platform and applications. Make significant contributions to the architecture and design of our data processing platform. Implement scalable, fault-tolerant, and accurate ETL frameworks. Gather and process raw data at scale from diverse sources. Collaborate with product management, data scientists, analysts, and other engineers on technical vision, design, and planning. Implement and maintain a high level of data quality monitoring in our analytics & ML ecosystem. Train and collaborate with teammates effectively in data engineering best practices. Lead, document, and collaborate across teams for technical projects. What Makes You Love This Role You are passionate about building data-driven systems to enable Data Scientists, Data Analysts, and AI/ML Engineers. You want to make a difference to empower digital healthcare through data-driven decision making. You would like to learn how to build scalable, performant, and reliable data pipelines. Experience 5+ years of experience building, maintaining, and orchestrating scalable data pipelines. 3+ years of experience as a data engineer developing or maintaining integration with software such as Airflow or any Python-based data pipeline codebase. Experience applying a variety of integration patterns for different use cases. Experience in backend software development to contribute to distributed computing development and data technologies, with broad experience across systems, contexts, and ideas. Experience implementing data pipelines and improving the performance of ETL processes and related SQL queries. Experience in data modeling for OLTP and OLAP applications. Experience with cloud platforms such as Amazon AWS. Familiarity with workflow management tools (Airflow preferred). Familiarity with cloud-based data warehouses (Amazon Redshift preferred). Exceptional problem-solving and analytical skills. Experience working with sensitive data (PHI / PII) and security best practices. Familiarity with data governance practices and principles. Technical Skills Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL). Proficiency in Analytical SQL (e.g., analytics queries, distributed database queries) and experience working with massive parallel processing (MPP) databases (e.g., Redshift, BigQuery, Snowflake). Proficiency in programming languages such as Python, Java, or Scala. Knowledge of data modeling techniques (3NF) and tools (e.g., ER/Studio, ERwin). Software engineering mindset: Apply best practices to write elegant, maintainable code and understand automated testing concepts. Familiarity with business intelligence tools and environments. Familiarity with big data technologies (e.g., Lambda, Hadoop, Spark). Software engineering mindset and an ability to write elegant, maintainable code while following engineering best practices. Communication & Leadership Excellent communication and collaboration skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders. Self-directed: Lead projects and tasks effectively with cross-functional stakeholders minimal guidance. Care about writing quality software and recognize that there are often many right answers. Ability to lead tasks and projects effectively. Education Bachelor’s degree in Computer Science or a similar discipline preferred. Technologies We Use Ruby on Rails, Redshift, Athena, Postgres, SQL, Python, Apache Airflow, Appflow, S3, SNS, SQS, Kafka, Docker, Kubernetes, AWS infrastructure, Lambda, Serverless, Tableau, Bugsnag, Datadog, GitLabCI. Bonus Points Experience with big data technologies such as Hadoop, Spark, or Kafka. Experience building internal frameworks or development productivity tools. Experience building data infrastructure, frameworks, and automation. Understanding of automated testing concepts and ability to consistently apply those concepts. Benefits Competitive salary with generous annual cash bonus. Equity grants. Remote-first work from home culture. Flexible Time Off to help you rest, recharge, and connect with loved ones. Generous parental leave. Health, dental, and vision insurance (and above-market employer contributions). 401k retirement savings plan. Lifestyle Spending Account (LSA). Mental Health Support Solutions. ... and more! Compensation California, New York State, and Washington State Base Compensation Ranges: $179,400 - $224,300. Colorado Base Compensation Ranges: $171,600 - $214,500. Other states may vary. This role is also eligible for participation in an annual cash bonus and equity grants. Location Requirements We are unable to employ candidates residing outside of the U.S. Due to the nature of our work, data, specifically personal health information, may not be accessed, disclosed, or used outside of the U.S. The U.S. is limited to the 50 states. Equal Opportunity Employment We are proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, 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 basis protected by local, state, or federal laws. #J-18808-Ljbffr