Sr, Data Engineer

Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices.  Our unmatched expertise, partnership, and breadth of products allow us to fine-tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI-enabled solutions that span practice management to electronic medical records and e-prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community.

Job Description

As a Senior Data Engineer at Ensora Health, you will play a pivotal role in designing, building, and maintaining our data infrastructure and pipelines. You will leverage innovative AI and machine learning techniques to enhance business outcomes, driving data-driven decision-making and operational efficiency. Collaborating closely with cross-functional teams, you will understand data requirements, develop scalable data solutions, and implement processes that ensure data quality and accessibility. Your expertise will be crucial in transforming our data operations and unlocking new insights to support our mission.

Responsibilities  

• Design and implement scalable data pipelines to support data processing and analytics.  

• Develop and maintain ETL processes for data transformation and preparation.  

• Collaborate with data scientists and analysts to improve data models and ensure data accessibility.  

• Deploy machine learning models to production environments to enhance business outcomes.  

• Ensure data quality and consistency across various sources.  

• Manage data warehousing solutions to support large-scale analytics.  

• Monitor and optimize data infrastructure for performance and reliability. 

 

Qualifications  

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s preferred).  

• 5+ years of experience in data engineering, data system development, or related roles.  

• Proficiency in ETL technologies and processes.  

• Experience with big data tools and databases.  

• Expertise in cloud computing technologies (e.g., AWS, Azure, GCP).  

• Strong programming skills in languages such as Python, Java, Scala, or R.  

• Knowledge of machine learning techniques and their application in data engineering.  

• Understanding of database security and compliance requirements.  

• Ability to manage and mentor junior data engineers.  

• Excellent problem-solving and analytical skills 

Additional Information

While we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria. 

The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate—apply today and let's explore the exciting possibilities together! 

All your information will be kept confidential according to EEO guidelines.

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