Sr Data Engineer

As a Data Engineer, you will be part of an Agile team to build healthcare applications and implement new features while adhering to best coding development standards.

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

• 12+ years of relevant experience.

Location

Remote

Educational Qualifications

• Engineering degree (BE/ME/BTech/MTech/BSc/MSc).
• Technical certification in multiple technologies is desirable.

Skills

• SQL: Highly skilled; familiar with common table expressions (CTEs), complex joins, and analytic & windowing functions.
• Python: Some experience required; intermediate or higher skill preferred.
• Snowflake: Real‑world experience preferred.
• Data Profiling: Ability to identify unique and primary keys, determine cardinality, data type, precision, scale, and skew.
• Effective communication skills for internal collaboration and cross‑team interactions.
• Product and QA understanding: takes initiative to achieve goals without waiting for specific direction.

Good to Have

• Healthcare industry experience, preferably payer.
• Data modeling experience.

VeeRteq Solutions is an Equal Opportunity Employer.