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Snowflake data engineer - Dallas TX

Lorven Technologies Inc

Senior Snowflake data engineer


Position: Fulltime


Location: Dallas TX


Duration: Longterm

Job description:

  • Design, develop, and optimize scalable data solutions within Snowflake.
  • Build and maintain logical and physical data models to support analytics and reporting requirements.
  • Develop and optimize advanced SQL queries utilizing features such as PIVOT, GROUPING SETS, ROLLUP, and CUBE.
  • Manage and support Snowflake production environments, ensuring performance, security, and reliability.
  • Implement best practices for data warehousing, governance, and performance tuning.
Data Integration & Pipeline Development
  • Design and implement ETL/ELT pipelines to ingest, transform, and load data from diverse sources.
  • Integrate data from relational databases, REST APIs, SaaS applications, and event-streaming platforms.
  • Build scalable and reusable data ingestion frameworks and transformation processes.
  • Ensure high-quality, consumption-ready datasets through data cleansing, validation, and transformation.
Data Modeling & Architecture
  • Design normalized and dimensional data models, including star and snowflake schemas.
  • Collaborate with business stakeholders to translate requirements into scalable data solutions.
  • Develop and maintain metadata, documentation, and data lineage artifacts.
Python Development
  • Develop Python-based solutions for data transformation, workflow automation, and orchestration.
  • Build API integrations, automation scripts, and data processing services.
  • Implement robust error handling, logging, monitoring, and retry mechanisms.
  • Support deployment and maintenance of production-grade data engineering solutions.
AI & Intelligent Data Workflows
  • Utilize Snowflake Cortex and LLM-powered capabilities to develop intelligent data applications.
  • Design and implement AI agent workflows within the Snowflake ecosystem.
  • Explore and apply agent-based architectures for data discovery, automation, and decision support.
  • Collaborate with data science and AI teams to operationalize AI-driven solutions.
Backend Integration & Services
  • Develop backend integrations using Python and REST APIs.
  • Implement authentication, authorization, pagination, rate limiting, and error-handling strategies.
  • Support service-to-service communication and scalable integration architectures.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 5+ years of experience in Data Engineering, Data Warehousing, or related roles.
  • Strong hands-on experience with Snowflake in enterprise production environments.
  • Advanced SQL expertise with complex query optimization and analytical functions.
  • Strong proficiency in Python for data engineering and automation.
  • Experience designing and implementing ETL/ELT pipelines.
  • Expertise in dimensional modeling, data warehousing concepts, and schema design.
  • Experience integrating data from APIs, databases, SaaS platforms, and streaming systems.
  • Familiarity with Snowflake Cortex, LLM functions, or AI-enabled data workflows.
  • Experience with REST API integrations and backend development patterns.
Vacancy posted 1 day ago
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