Senior Data Engineer

Experience: 8+ Years |

Location:

Onsite |

Working Hours:

PST Time Zone

Citius Tech 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, Citius Tech powers digital innovation, business transformation, and industry-wide convergence through next-generation technologies, solutions, and products.

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 Citius Tech, 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.

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.

• 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.
• Review and approve pull requests from junior team members.
• Troubleshoot production issues and implement long-term solutions.
• Document architectural decisions and data lineage.

• 8+ Years

• 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.

• 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.

• SQL, Snowflake, dbt, Python, Data Profiling, Data Modeling, Data Quality, ETL/ELT, Data Engineering, Performance Optimization, CI/CD.

• Healthcare Industry
  
  Experience:
  
  Some experience is desired, preferably Payer experience.

• Be You Be Awesome
• Higher learning

You'll be encouraged to bring your perspective, challenge conventions, learn from experts, and contribute to work that directly influences the future of healthcare.…