About DataXight

DataXight, headquartered in Mountain View, CA, is on a bold mission to transform life science and healthcare through groundbreaking data-driven software solutions. We're passionate about empowering our team to work on projects that not only push boundaries but also make a tangible difference in the lives of millions. Are you ready to be part of something greater?

The Role

We’re looking for a Senior Data Engineer to join our digital transformation team and help build scalable, data-driven solutions across the business.

The role offers a unique growth path: you’ll start with a strong Data Analytics focus, then gradually take ownership of broader Data Engineering initiatives as our data platform evolves.

In the short term, you’ll work on SQL analysis, reporting, dashboards, data modeling, and translating business needs into actionable insights. Over time, you’ll move deeper into building data pipelines, optimizing Spark workloads, automating workflows, and developing scalable data infrastructure. We welcome Data Engineers who enjoy getting close to the business and are excited to grow from analytics into deeper engineering ownership.

Key Responsibilities

Data Engineer - Career Focus

  • Design and Build Data Pipelines: Develop, scale, and maintain robust, large-scale data pipelines and architecture using Python and advanced SQL.

  • Analytics Enablement: Partner directly with data scientists, analysts, and business stakeholders to translate analytical requirements into reliable, query-ready datasets and data models.

  • Data Orchestration & Processing: Implement and manage complex automated workflows using orchestration frameworks (Airflow, Nextflow) and optimize large-scale data processing using engines like Spark, Clickhouse, or Trino.

  • Drive Engineering Maturity: Lead the gradual transition from an ad-hoc, "analytics-first" workflow to one with rigorous data engineering standards, including version control, CI/CD, automated testing, and data governance.

  • Performance Optimization: Identify bottlenecks, troubleshoot system failures, and continuously tune query performance and pipeline efficiency across the data platform.

  • Data Quality & Reliability: Establish robust monitoring, alerting, and validation frameworks to ensure high data integrity and proactively resolve data discrepancies.

Must-have Skills & Qualifications

  • Experience: 5+ years of proven experience in Data Engineering, Data Platform Engineering, or a related technical field.

  • Core Technologies: Strong programming skills in Python and advanced SQL profiling/optimization (able to understand execution plan).

  • Data Architecture: Solid background working with large-scale data, modern data platforms, and analytics workflows.

  • Processing & Orchestration: Practical experience implementing data processing engines (Spark, ClickHouse, Trino) and building pipelines using orchestration tools (Airflow, Nextflow).

  • Mindset & Culture: Comfortable navigating an "analytics-first" environment while actively taking ownership to build robust engineering practices over time.

  • Soft Skills: Strong analytical problem-solving capabilities paired with clear cross-functional communication (able to translate technical concepts into actionable items)

Nice-to-Have Qualifications

  • Experience in technology, healthcare, biotechnology, science, AI, or data-related industries.

  • Experience with SaaS products, dashboards, AI platforms, or data visualization.

  • Experience with 3D tools such as Blender or Cinema 4D.

  • Experience with interactive motion or tools such as Rive or Framer.

  • Familiarity with AI-assisted creative tools and new creative workflows.

  • Basic sound design or audio editing skills.

Lifelong Skills

  • Inquisitive Mindset: Demonstrates a deep-rooted curiosity, constantly seeking to understand project details and underlying principles, indicative of a continuous learning approach.

  • Clarity and Insight: Actively seeks clarity and understanding of project requirements to ensure accurate and effective implementation.

  • Depth of Perception: Has talent for looking beyond initial requests, intuitively grasping and addressing the core needs and objectives underlying a project.

  • Implementation Insight: Skilled in outlining and describing the phases of project implementation, breaking down complex tasks into manageable steps.

  • Articulate Communication: Exhibits strong verbal and written communication skills, adept at tailoring messages effectively for different audiences, ensuring that it is not only clear but also contextually relevant and empathetic.

Why Join DataXight

This isn’t just another job; it’s an opportunity to join a team that's earnest about making a global impact in human health. We provide room for growth, a dynamic and collaborative work environment, and the chance to make your mark in an industry ripe for innovation. Join our team and immerse yourself in a dynamic, supportive, and friendly workplace that fosters collaboration and personal growth. 

  • Opportunity to shape how complex ideas are communicated across products and clients.

  • Direct collaboration with senior leaders and domain experts.

  • Meaningful work at the intersection of data, science, and business.

Benefits & Perks

  • Competitive compensation.

  • Flexible time off, including floating holidays.

  • Private health insurance & full social, health, and unemployment insurance in line with Vietnamese labor law.

  • Professional development support.

  • Company-provided lunches along with a selection of coffee, tea, and snacks.

  • Other employee benefits as stipulated in Vietnamese labor law, reinforcing our commitment to your growth and well-being.

If you’re someone who thrives on solving complex problems and actively wants to transform healthcare, apply to DataXight today. Send your resume, cover letter, and relevant work samples or GitHub profile to careers@dataxight.com. We look forward to reviewing your application and potentially welcoming you to our globally connected team!