Data Engineer with Snowflake

Quantum Technologies. LLC; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Quantum Technologies. LLC seeks a data engineer to design scalable data models and pipelines in a Snowflake environment. You will build advanced DBT models, optimize queries, and drive data quality through testing frameworks while collaborating with cross-functional leaders.

The role emphasizes strong communication, understanding of QA, and the ability to translate complex requirements into robust technical solutions. On-site Austin, TX based position with growth opportunities.

Qualifications

• SQL proficiency and advanced querying.
• Familiarity with CTEs, complex joins and analytic/windowing functions.
• Python experience, intermediate or higher preferred.
• Snowflake real-world experience preferred.
• Data profiling to identify keys, cardinality, data types and skew.
• Strong internal and cross-team communication.
• Understand product scope and QA, take initiative to achieve goals.

Responsibilities

• Design and implement scalable data models and pipelines aligned with business objectives.
• Develop complex DBT models using macros, packages, and custom materializations.
• Collaborate with leaders to translate requirements into technical solutions and optimize Snowflake queries.
• Design and implement data quality frameworks and testing strategies.
• Create reusable DBT packages and macros for team-wide use.
• Review and approve PRs from junior team members and troubleshoot production issues.
• Document architectural decisions and data lineage.

Skills

SQL

CTEs & Joins

Python (Intermediate)

Snowflake

Data Profiling

Communication

Product & QA Understanding

Tools

DBT

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

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

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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.