Senior Data Engineer
Overview:
About the Role
Data Engineers at Hinge Health are software engineers with expertise in data pipelines, OLTP & data warehouse schema design, data governance, ETL, RDBMS and NoSQL systems. Data Engineers are hands-on, building self-service tools and automation that enable application engineers and data analysts to manage, maintain, and secure their data systems with autonomy while adhering to best practices in a HIPAA environment.The ideal candidate thrives in a highly collaborative, cross functional environment.
Our stack: Python, SQL, Airflow, PostgreSQL, MySQL, REST, Aptible, Docker, Tonic.ai, Terraform, Spark, Kafka, Fivetran, Databricks, AWS (S3, Lambda, Kinesis, RDS, Glue). Our workflow is trunk-based CI/CD, and our security/compliance posture is at the highest standards of healthcare, including HIPAA, HITRUST, SOC 2, CCPA.
What You'll Accomplish- Create compliance strategies (HIPAA, GDPR, CCPA), tooling, processes, and coaching that enables service and application teams to take full ownership of their data in a growing organization
- Architect and build data pipelines and data aggregation systems to deliver quality real-time and batch analytical reports
- Participate in hiring and mentoring of team members
- Assist and coach teams to optimize poorly performing data pipelines
- Work with the SRE team to establish best practices around database monitoring, alerting, and availability
Hinge Health Hybrid Model
We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days/week.
Qualificatons:
Basic Qualifications- Mastery of SQL and Python
- Solid background in processing and storing large scale data using distributed systems as well as a mastery of database designs and data warehousing
- Good understanding of a broad spectrum of data stores like PostgreSQL, MySQL, MongoDB, Redis, Snowflake and Redshift
- Experience building data pipelines using Spark, Kafka, Airflow
- Knowledge of software engineering best-practice development (e.g., linting, testing)
- Ability to collaborate and problem-solve across teams
- Excellent communication skills, both written and verbal
- Six years of software engineering experience, 4+ in data engineering
- Bachelor’s degree in C.S. or equivalent experience
- Experience building data infrastructure on AWS
- Prior DBA experience
- Prior experience with healthcare data (PHI/PII/HIPAA)
- Prior experience working with Kubernetes
- Extensive NoSQL knowledge
Company Information:
About Hinge HealthHinge Health is moving people beyond pain by transforming the way it is treated and prevented. Connecting people digitally and in-person with expert clinical care, we combine advanced technology, AI and a care team of experts to guide people through personalized care directly from their phone.
Our approach is proven to reduce pain by 68%, prevent 42% of new opioid prescriptions, and avoid more than half of joint replacement surgeries. Available to 18M people, Hinge Health is trusted by leading health plans and employers, including Land O’Lakes, L.L. Bean, Salesforce, Self-Insured Schools of California, Southern Company, City of Boston, US Foods, and Verizon.
Learn more at http://www.hingehealth.com
What You'll Love About Us
Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.Modern life stipends: Manage your own learning and development
Diversity and Inclusion
We’re committed to building diverse teams that reflect the communities we serve. Visit hingehealth.com/diversity-equity-and-inclusion to learn more about what moves us.Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law.