Data Engineer with Snowflake

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

Job summary

Machine Learning Technologies, LLC is seeking a skilled data engineer to design scalable data models and end-to-end data pipelines. You will develop advanced DBT models, optimize Snowflake configurations, and partner with business leaders to translate complex requirements into reliable, scalable solutions.

The role emphasizes data quality, performance tuning, and reusable packaging. A proactive, communicative engineer will thrive in this team-driven environment in Austin.

Qualifications

• Strong SQL skills with CTEs, complex joins, analytics, and window functions.
• Python experience required at least intermediate.
• Real-world Snowflake experience preferred.
• Ability to profile data, identify keys, cardinality, data type, precision, scale, and skew.
• Excellent communication within the team and across departments.
• Understands scope and QA, takes 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 business leaders to translate requirements into technical solutions.
• Identify and resolve Snowflake query performance bottlenecks and optimize warehouse configurations.
• 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.

Skills

SQL

CTEs & joins

Python

Snowflake

Data profiling

Communication

Product & QA awareness

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.