Senior Software Engineer, Data Engineering
Omada Health3 months ago
Base Salary
$179k - $224k/yr
Responsibilities
- Design, develop, and implement scalable, secure, and efficient data architectures and solutions.
- Create and maintain logical and physical data models for business intelligence, analytics, and reporting.
- Design, build, optimize, and operate ETL processes and data pipelines from diverse sources.
- Integrate APIs, databases, and third-party data into a unified data platform.
- Evaluate, benchmark, and improve the scalability, robustness, latency, throughput, and performance of data platforms and applications.
- Implement data quality checks, validation processes, monitoring, and governance frameworks across analytics and machine learning systems.
- Monitor and manage production environments to deliver data within defined SLAs.
- Collaborate with product managers, data scientists, analysts, engineers, and other stakeholders on technical vision, design, and planning.
- Lead, document, and coordinate technical projects across teams.
- Train and collaborate with teammates on data engineering best practices.
- Recommend policy changes and establish department-wide procedures while resolving complex technical problems.
Requirements
- At least 5 years of experience building, maintaining, and orchestrating scalable data pipelines.
- At least 3 years of experience as a data engineer working with Airflow or Python-based data pipeline codebases.
- Experience with data integration patterns, backend software development, distributed computing, ETL performance optimization, and SQL query optimization.
- Experience modeling data for OLTP and OLAP applications.
- Experience with cloud platforms, especially AWS, and familiarity with Airflow and cloud data warehouses such as Redshift.
- Experience handling sensitive PHI and PII data and applying security best practices and data governance principles.
- Proficiency in SQL, relational databases, analytical SQL, and MPP databases such as Redshift, BigQuery, and Snowflake.
- Proficiency in Python, Java, or Scala.
- Knowledge of 3NF data modeling and tools such as ER/Studio or ERwin.
- Familiarity with business intelligence tools, big data technologies, automated testing concepts, and software engineering best practices.
- Excellent written and verbal communication, analytical problem-solving, cross-functional collaboration, and self-directed project leadership skills.
- A bachelor's degree in Computer Science or a similar discipline is preferred.
- Bonus qualifications include NoSQL database experience, internal framework or developer productivity tool development, data infrastructure and automation experience, and use of generative AI tools for engineering or data platform workflows.
Benefits
- Remote-first work-from-home culture
- Flexible time off
- Generous parental leave
- Health, dental, and vision insurance with above-market employer contributions
- 401(k) retirement savings plan
- Lifestyle Spending Account
- Mental Health Support Solutions
- Annual cash bonus eligibility and equity grants
Tech Stack
Amazon RedshiftApache AirflowApache KafkaApache SparkAWSDatabricksDatadogDockerGitLab CI/CDGoogle BigQueryJavaKubernetesMySQLPostgreSQLPythonRuby on RailsScalaSnowflakeSQL
Categories
BackendData Engineering
About Omada Health
Omada Health builds virtual care programs that help adults manage chronic conditions such as prediabetes, diabetes, hypertension, and musculoskeletal pain. It sells these app-based, device-connected, coach-supported programs to employers, health plans, pharmacy benefit managers, and public-sector agencies as covered benefits. Founded in 2011 and headquartered in San Francisco, the company serves populations across the United States.