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# Senior Data Engineer

- **Company:** CitiusTech
- **Location:** Portland, OR, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Query Performance, Agile Methodology, Data Governance, Data Profiling, Python (Programming Language), SQL Databases, Strategies of Testing, Snowflake, Data Lineage
- **Published:** October 26, 2026
- **Apply:** https://www.dice.com/job-detail/43ffa73a-5928-4691-9d4e-9cb33e5e7ebf

## About the Role

* Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
 * Technical certification in multiple technologies is desirable.

Mandatory 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.

Good to have skills: -

 * Healthcare Industry Experience: Some experience is desired, preferably Payer experience.
 * Data Modeling Experience desired

## Description

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