Data Engineer at Cortica

Cortica is looking for a Data Engineer to join its growing multi-disciplinary team!  

We are a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission!

Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities.

What will you do? 

• Work closely with financial data analysts to build complex data models and data pipelines from health and business operations data utilizing Python, Airflow, MS SQL, Snowflake, and AWS
• Work on the data pipeline platform to enable Analytics and Data Science team members to build reliable data models and supporting pipelines quickly and efficiently
• Data modeling using Kimball methodology to support financial and operational analytics
• Consistently evolve data model & data schema based on business and engineering requirements
• Deliver data that will drive business decisions and improve quality of care
• Assemble large, complex data sets that meet functional / non-functional business requirements from a variety of data sources to the AWS Data Lake
• Support analytics teams with their development in Power BI
• Work with IT team to ensure data is secure and programming processes support security of Cortica’s data
• Pitch in with IT colleagues in rolling out new systems and technology initiatives to the enterprise
• Work with stakeholders and various teams to assist with data-related technical issues and support their data infrastructure needs

We’d love to hear from you if:

• You possess a bachelor’s degree.
• You have 2+ years of experience working with Data Warehouse ETL and building out data pipelines.
• You have excellent communication skills to collaborate with partners in IT, data science, and Finance.
• You have experience with Python programming for the purpose of ETL.
• You possess a deep knowledge of Kimball Data Modeling.
• You possess a deep knowledge of SQL.
• You have experience with Cloud data such as AWS or Azure big data offerings.
• You have an understanding and experience building Power BI data models and reports.

Your Compensation & Benefits 

Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we’ll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspects of your life.

The base pay range for this opening is $88,444.44 to $110,555.56. According to your skill level, relevant experience, education level, and location, you will receive compensation that fits appropriately within the range.

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Fair Chance Ordinance Compliance
Cortica is committed to fair hiring practices. Qualified candidates with criminal histories will be considered and are not automatically disqualified from employment, consistent with applicable federal law, the California Fair Chance Act, and local ordinances such as the San Francisco Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring, and the Los Angeles County Fair Chance Ordinance for Employers.

E-Verify Participation
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