Senior Data Analytics Engineer

About the job

Why PsychPlus?

The current delivery model for mental health care is broken in this country. PsychPlus set out on

a mission to reimagine how mental health care is delivered to folks who need it. Our goal is to

provide a digital-first, modern approach to psychiatry and therapy. We provide care both in person at our offices across Texas and virtually so our patients can be seen at their

convenience. Through a combination of exceptional medical and psychological care and best-in-class technology, we provide an unparalleled approach that serves our patients' needs in an

integrated way. Join us in our mission to ensure that every person has access to affordable and

accessible mental health care.

About The Role

We are seeking a dedicated and experienced Senior Data Analytics Engineer to join our

healthcare-focused technology team. As a Senior Data Engineer in the healthcare industry, you

will be an integral part of developing cutting-edge data products that contribute to improving

patient care, streamlining healthcare operations, by applying machine learning / artificial

intelligence capabilities, while ensuring data security and compliance.

Responsibilities

• Custom datasets and Analytics: Create tailored datasets to support Product, Operations, Clinical Teams, and other business functions. Develop and maintain automated reports, analyses, and dashboards to monitor the performance of key product features, ensuring that stakeholders have access to the most updated and reliable insights.
• Data Pipelines framework: Contribute to improving our data pipelines framework to develop scalable, reliable, and maintainable data pipelines by using AWS services such as Glue, EMR, and Step Functions. Advocate for data pipeline best practices, including idempotency.
• Data Quality frameworks: Detect and flag issues such as missing fields, incorrect types, or schema mismatches at the source. Develop automated tests and quality checks integrated into pipelines, covering data completeness and data consistency, both across ingestion and processing layers.
• Stakeholder Support: Provide support to Sales and Clinical teams, by delivering internal data product and business KPIs. This includes the development of automated reporting systems to ensure seamless access to critical metrics. Work closely with Product teams, ideally as an embedded member, to ensure a data-driven approach is integrated into every aspect of product development and strategy.

As a secondary responsibility, you may also contribute to the following ongoing work

streamlines:

• ML & AI pipelines: Contribute to building machine learning pipelines in Python,

collaborating closely with AI Scientists and AI Engineers.

• Define Analytics Tracking: Lead the definition and implementation of analytics tracking for in-app events, particularly when new features are developed, such as new pages and buttons.

Requirements

• Fluent in English
• Data Engineering experience: 6+ years of experience as a Data Engineer, creating modular, version-controlled, and testable pipelines, with 2+ years working with AWS services for data pipelines. Nice-to-have: experience with Microsoft Fabric.
• Data modelling experience: solid understanding of data modelling and best practices, and some experience implementing data modelling in silver layer from scratch.
• BI & Dashboarding: 2+ experience building dashboards with a BI tool, such as Superset, Tableau, Metabase, PowerBI.
• Programming Skills: Highly proficient in Python, specially PySpark, and in SQL (advanced querying, and optimization). Nice-to-have: Scala.
• (Nice-to-have) Product Analytics: Experience with in-app analytics tracking, A/B testing methodologies, and frameworks to assess the impact of product changes.
• (Nice-to-have) Experience working in environment with strict data security requirements, ideally under HIPPA compliance and/or GDPR.

Soft Skills

• Communication: You can communicate clearly about technical decisions, considering pros and cons, and making them clear to your audience. You are also a good listener and can ask questions to understand the context.'
• Growth mindset: You love debugging data pipeline issues, advocating for data quality, as much as for continuously improving code quality. You see a bug or an error as an opportunity to learn and improve our processes, pipelines and products.
• Team Player: Strong collaborator, open to learning beyond their comfort zone, and dedicated to mentoring team members to enhance coding skills and best practices

Pay: Rs1,800.00 - Rs2,400.00 per month

Work Location: Remote