Senior Data Engineer at Abacus Insights

, , Nepal -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Technology, Data Solutions, AWS, Azure, Databricks, ELT, ETL, Airbyte, PySpark, SQL, CI/CD, Data Pipeline, Data Governance, Python, Java, Problem Solving

Industry

Software Development

Description

About Us Abacus Insights is changing the way healthcare works for you. We’re on a mission to unlock the power of data so health plans can enable the right care at the right time—making life better for millions of people. No more data silos, no more inefficiencies. Just smarter care, lower costs, and better experiences. Backed by $100M from top VCs, we’re tackling big challenges in an industry that’s ready for change. And while GenAI is still new for many, we’ve already mastered turning complex healthcare data into clear, actionable insights. That’s our superpower—and it’s why we’re leading the way. Abacus, innovation starts with people. We’re bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future, together. About the role Our engineering team is looking for a motivated, versatile, and naturally curious senior software engineer who is excited about using cutting edge cloud technology to better the US healthcare industry. This is a fantastic opportunity for an engineer to join a world-class engineering team and work cross functionally with other teams within our company: Executives, Product, Implementation, Delivery, Customer Success, and Sales, to help solve our customers' most challenging business and operational needs. You Day to Day Design and implement secure, high-performance cloud data solutions on AWS, Azure, and Databricks that comply with US healthcare standards (HIPAA/HITECH). Build and optimize scalable ELT/ETL pipelines using Airbyte, Databricks (PySpark), dbt, and SQL; ensure cost efficiency and performance tuning. Develop and deploy production-grade PySpark, Python, and SQL code through CI/CD frameworks; enforce best practices via code reviews and design critiques. Troubleshoot and resolve data pipeline issues, perform root-cause analysis, implement preventive measures, and maintain detailed documentation. Drive technical excellence by mentoring team members, setting engineering standards, and influencing roadmap priorities for strategic technical investments. Ensure data integrity and governance by managing data lake ingestion from diverse sources, implementing security controls, and validating data quality. Collaborate cross-functionally with product managers, architects, and end users to deliver reliable, compliant, and business-aligned data solutions. What you bring to the team: Bachelor's degree, preferably in Computer Science, Computer Engineering, or related IT discipline. 4+ years of commercial software development experience; 3+ years of building or using cloud services in a production environment (AWS, Azure, GCP, etc.), building ETL data pipelines at scale with Spark/PySpark and Databricks Strong programming skills (Python, Java, or other OOP Languages). Go-getter with self-starter mindset. Someone who stays current with emerging technologies and development techniques Excellent oral and written communication skills; strong analytical, problem solving, organization and prioritization skills Working Conditions (Nepal Only) Standard hours: 9 hours/day; 5 days/week Location: On-Site Work time: 10 AM -7 PM Our Commitment as an Equal Opportunity Employer As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.

Responsibilities

Design and implement secure, high-performance cloud data solutions while building and optimizing scalable ELT/ETL pipelines. Collaborate cross-functionally to deliver reliable and compliant data solutions that meet business needs.