About DataXight

At DataXight, we are committed to transforming healthcare. We’re passionate about empowering our team to work on projects that not only push biomedical boundaries but also make a tangible difference in human health. Every day here brings new challenges and opportunities for impact. Are you ready to be part of something great?

The Role

We are seeking a highly skilled and motivated Senior Data Engineer to join our dynamic digital transformation team. The ideal candidate will have a strong background in SQL, Python, Data Modeling, and ETL processes. You will be responsible for developing, maintaining, optimizing, and productizing data pipelines, ensuring data accuracy and reliability of the business intelligence data layer. Your work will directly impact the company’s ability to make data-driven decisions by helping to develop a semantic layer that will serve up enterprise and financial analytics to the company. 

Key Responsibilities

  • Data Pipeline Development: Design, develop, maintain, and optimize data pipelines to ensure the efficient and reliable movement of data across various systems, with a focus on scalability and performance.

  • Data Ingestion: Ingest data from multiple back-office systems, including Salesforce (SFDC) and NetSuite, ensuring seamless integration and data flow across the organization.

  • Data Modeling and BI Data Layer Development: Design and refine comprehensive data models to support robust business analytics. Develop and maintain the Business Intelligence (BI) data layer to ensure seamless integration with various BI tools and effective data visualization. Ensure that data models and BI layers are accurate, scalable, and aligned with business requirements, providing a solid foundation for actionable insights and strategic decision-making. 

  • Complex Query Writing: Write, optimize, and maintain complex SQL queries to extract, manipulate, and analyze data in support of business decision-making.

  • Redshift Database Management: Manage data storage and processing within Amazon Redshift, ensuring data integrity, performance, and scalability.

  • Data Validation: Perform thorough data validation across systems to ensure accuracy, consistency, and completeness of data, addressing discrepancies as needed.

  • Business Intelligence Development: Develop and maintain Business Intelligence data models and visualizations using tools like Tableau and PyGWalker, ensuring data correctness and providing actionable insights.

  • Reporting and Dashboards: Develop, maintain, and optimize reports and dashboards that provide insights into key financial metrics such as cloud spend and profit margin reporting.

  • Documentation: Create and maintain comprehensive business and technical documentation for all data processes, including financial data workflows, data models, and ETL processes.

Required Skills

  • SQL Expertise: Proficiency in SQL, with a preference for experience in Postgres or Redshift, and the ability to write and optimize complex queries.

  • Python for ETL: Strong skills in Python, particularly for ETL processes, including data extraction, transformation, and loading.

  • Data Modeling: Extensive experience in data modeling, with the ability to design and implement data models that support robust business analytics.

  • Source Control: Experience with source control systems such as GitHub, ensuring version control and collaboration on data engineering projects.

  • Spreadsheet Skills: Intermediate-level skills in spreadsheets, including Excel and Google Sheets.

  • Education: B.S., in Software Engineer, Data Engineer, Data Science, or a related field.

  • Experience: Minimum of 5 years of experience in data engineering or a related field.

Preferred Qualifications

  • Airflow Experience: Familiarity with Apache Airflow or similar workflow orchestration tools for scheduling and managing complex data pipelines.

  • Tableau or BI Tools: Experience with Tableau or other Business Intelligence (BI) visualization tools, with the ability to develop insightful and user-friendly dashboards.

  • Accounting/Budgeting Systems: Experience with accounting and/or budgeting systems, understanding the financial context of data engineering tasks.

Lifelong Skills

  • Inquisitive Mindset: Demonstrates 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: Able to outline and describe the phases of project implementation, breaking down intricate tasks into manageable steps.

  • Articulate Communication: Exhibits strong verbal and written communication skills.

Why You Should Apply

This is more than a 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 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. 

We are committed to your professional development and offer opportunities for training and attending conferences to enhance your skills and knowledge in your field. Our comprehensive benefits package includes:

  • 12 days of annual leave

  • 2 floating holidays

  • 11 national holidays

  • Public and private health insurance

  • Company-provided onsite lunches, snacks, happy hours, and sport activities

  • Access to a MacBook, cloud computing resources and tools

By joining our team, you'll be part of an environment where innovation thrives and your ideas matter. At DataXight, we value diversity and teamwork. Work alongside talented and supportive professionals to transform healthcare. Take the next step in your career and apply at 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!