Senior Data Engineer

Senior Data Engineer – Snowflake & dbt

Experience:
8+ Years |

Location:
Onsite |

Working Hours
PST Time Zone Build what's next in Healthcare AI CitiusTech is a leading digital and enterprise AI company for healthcare and life sciences organizations. We enable 140+ enterprises to build a human-first ecosystem that is efficient, effective, and equitable. Leveraging deep domain expertise and next-generation technologies including AI, Cloud, Data, and Intelligent Automation, we assist our clients to realize their vision, accelerate transformation, and achieve business outcomes. With 7,700+ healthcare technology professionals worldwide, CitiusTech powers digital innovation, business transformation, and industry-wide convergence through next-generation technologies, solutions, and products. Why CitiusTech Healthcare isn't just another industry for us. It's our singular focus. For 21+ years, we have combined technology and domain expertise to shape better healthcare outcomes. As part of CitiusTech, you will build future-ready skills while becoming an expert in a domain where innovation creates real human impact. Here's an opportunity to be part of that journey. What you'll be doing As a Senior Data Engineer, you will design and implement scalable data models and pipelines that align with business objectives. You will develop and optimize data solutions using SQL, Snowflake, dbt. You will collaborate closely with business leaders, Product, QA, and engineering teams to translate complex requirements into effective technical solutions.

Responsibilities:
-
• Design and implement scalable data models and pipelines that align with business objectives.
• Develop complex DBT models using advanced features (macros, packages, custom materializations).
• Collaborate with business leaders to translate complex requirements into technical solutions Identify and resolve performance bottlenecks in Snowflake queries and DBT models.
• Optimize Snowflake warehouse configurations and query performance Design and implement data quality frameworks and testing strategies.
• Create reusable DBT packages and macros for team-wide use.
• Manage CI/CD pipelines for DBT deployments.
• Review and approve pull requests from junior team members.
• Troubleshoot production issues and implement long-term solutions.
• Document architectural decisions and data lineage.

Experience:
-
• 8+ Years

Location:
- Onsite
- Multiple location across US. What we're looking for Educational Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Engineering, Data Science, or a related discipline.
• Relevant data engineering, Snowflake, dbt, or cloud data platform certifications are desirable. Mandatory Technical Skills
·
• SQL: Highly Skilled.
• Must be familiar with common table elements (CTEs), complex joins, and analytic & windowing functions.
• Python: Some experience is required. We prefer Intermediate or higher skill.
• Snowflake: Prefer candidates with real-world experience using Snowflake.
• Data Profiling: Must be able to identify unique and primary keys and determine cardinality, data type, precision, and scale, and skew.
• Effective communication skills to communicate internally within our team and externally across other teams, notably.
• Product and QA Understands the scope and context of the work and takes initiative to achieve the goals, rather than waiting to take specific direction. Primary Skills
• SQL, Snowflake, dbt, Python, Data Profiling, Data Modeling, Data Quality, ETL/ELT, Data Engineering, Performance Optimization, CI/CD. Good to have skills
• Healthcare Industry

Experience:
Some experience is desired, preferably Payer experience.
• Data Modeling Experience desired. We are driven by one simple philosophy
• Be You Be Awesome
• Faster growth
• Higher learning
• Stronger impact You'll be encouraged to bring your perspective, challenge conventions, learn from experts, and contribute to work that directly influences the future of healthcare. Because when people are empowered to be themselves, they do their best work. Build expertise beyond the role At CitiusTech, learning doesn't stop with your project responsibilities. You'll have opportunities to build expertise across emerging technologies, industry domains, and next-generation engineering practices.
• AI & GenAI (LLMs, prompt engineering basics)
• Digital Engineering (DevOps & CI/CD, Full Stack Development)
• Data Engineering & Cloud (Modern Data Stack, Data Pipelines, Databricks / Snowflake)
• Interoperability & Integration (HL7 and FHIR)
• Cybersecurity (IAM, Azure Security, AWS Security Hub)
• Analytics (Advanced Analytics, Predictive / Prescriptive Analytics, AI/ML Models, Healthcare Analytics)
• Healthcare Platforms (Digital Health Platforms, Revenue Cycle Management
- RCM)
• Product Engineering (Product-led Development, UX/UI Engineering, SaaS Product Engineering) Growth that keeps pace with your ambition Your career journey is supported through:
• CitiusTech Academy Programs
• Leadership Development Programs
• Mentorship Initiatives
• Capability-led Learning Tracks
• Specialized Healthcare Certifications We invest in helping our people build future-ready skills and accelerate their professional growth. Our approach to working We design work environments that enable teams to deliver meaningful outcomes. Depending on project and client needs, you may work across on-site, hybrid, or flexible models to maximize impact and collaboration. This position is onsite and requires availability during PST

working hours
. Disclosures:
- This posting complies with applicable pay transparency laws in states such as California, Colorado, New York, New Jersey, Illinois, and others. CitiusTech is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.