Senior Data Analytics Engineer

PsychPlus; Pakistan; Hybrid; PKR 33,213,000 - 44,285,000; Full time

Job summary

PsychPlus is hiring a Senior Data Analytics Engineer to drive data products improving patient care and healthcare operations. You will develop analytics pipelines, dashboards, and reports, applying ML/AI capabilities while ensuring data security and compliance.

The role combines data engineering, analytics, and product-focused insights in a healthcare tech environment. You will collaborate with clinical teams, operations, and software engineers to deliver scalable data solutions.

Qualifications

• 6+ years of experience creating modular, version-controlled data pipelines.
• Experience with Python/PySpark and SQL in production data environments.
• Familiarity with Power BI and DAX for dashboards.
• Healthcare data experience preferred.

Responsibilities

• Design and maintain datasets and automated reports to monitor product features.
• Define KPI metrics, data sources, and reporting cadence for stakeholders.
• Lead architecture decisions, modelling standards, and mentor teammates in data engineering.
• Improve data pipelines from bronze to silver to gold, with idempotent design and quality checks.
• Develop Data Quality checks and automated tests across ingestion and processing layers.
• Define analytics tracking for in-app events and new features.
• Contribute to building ML/AI pipelines in Python with AI Scientists and Engineers.

Skills

Python

PySpark

SQL

Power BI

DAX

Healthcare data

Tools

Microsoft Fabric

Databricks

Job description

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

• Analytical data modelling: Create tailored datasets to support Product, Operations, Clinical Teams. 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 data. Define each model's grain, keys, relationships, and business logic so that teams can use consistent, trusted datasets across reporting and analysis.


• KPI discovery and definition: Work with teams to understand their requirements and translate them into clearly defined, computable KPIs. Agree each metric's business meaning, calculation logic, data sources, and reporting cadence, then validate and monitor it regularly with stakeholders.


• Technical leadership and ownership: Agree priorities and acceptance criteria with stakeholders, document architectural trade-offs, establish modelling and review standards, and mentor colleagues. Own the investigation and resolution of issues affecting the reliability, performance, and cost of analytical data products.


• Data Pipelines framework: Contribute to improving our data pipelines framework to develop scalable, reliable, and maintainable data pipelines, from bronze to silver and, from silver to gold. 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.


• 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.


• ML & AI pipelines: Contribute to building machine learning pipelines in Python, collaborating closely with AI Scientists and AI Engineers.

Requirements

• 6+ years of experience as a Data Engineer, creating modular, version-controlled, pipelines.

Tech Stacks exposure

• Highly proficient in Python, specially PySpark, SQL


• 4+ years of experience with Microsoft Fabric and/or Databricks


• Experience building dashboards and semantic models in Power BI, including DAX language.


• Product Analytics and/or Healthcare Experience:


• Experience with in-app analytics tracking, A/B testing methodologies and frameworks to assess the impact of product changes.


• Experience working with healthcare and /or clinical data.


• Ideally experience within the digital healthcare space.

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 make 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.