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Cloud Development Engineer

Dataflix Inc.Hayward, CA🇺🇸United StatesPosted Oct 12, 2026

Why This Role Stands Out

This hybrid Cloud Development Engineer role at Dataflix Inc. offers a fantastic opportunity to innovate with cutting-edge cloud data technologies like Snowflake, DBT, and Azure, driving impactful data solutions. You'll thrive here if you're a mid-senior engineer passionate about building scalable data pipelines and transforming data into actionable insights within a collaborative environment. Apply now to elevate your career with a forward-thinking company.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Hayward, CA, United States
Posted
Yesterday
SQLETLSnowflakeAgileAzureDatabricksKafkaPythondbt

Job Description

<>Overview:

We are seeking a Cloud Data Development Engineer with strong expertise in Snowflake, DBT, and Azure Data Services to design, develop, and optimize modern cloud-based data solutions. The ideal candidate will have hands-on experience building scalable data pipelines, data transformation frameworks, and analytics-ready data platforms. Experience in the Financial Services industry is highly preferred.

<>Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake, DBT, and Azure services.
  • Build and optimize data models, data transformations, and data integration workflows.
  • Develop and support cloud-native data solutions leveraging Azure Data Factory, Azure Data Lake, Azure Synapse, and related Azure services.
  • Optimize Snowflake performance, data storage, and query efficiency.
  • Collaborate with business stakeholders, data architects, and analytics teams to understand data requirements and deliver solutions.
  • Implement data quality, validation, monitoring, and governance processes.
  • Support CI/CD deployment activities and follow best practices for code management and automation.
  • Troubleshoot production issues and ensure reliable data operations.

Requirements

  • 7-8 years of experience in Data Engineering and Cloud Data Development.
  • Strong hands-on experience with Snowflake.
  • Strong experience with DBT (Data Build Tool).
  • Experience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and other Azure services.
  • Strong SQL development and performance tuning skills.
  • Experience building and supporting ETL/ELT solutions.
  • Working knowledge of Python for data engineering tasks.
  • Understanding of data warehousing concepts, dimensional modeling, and data integration patterns.
  • Experience with Agile development methodologies.

Preferred Qualifications

  • Financial Services or Banking domain experience.
  • Experience with Databricks, PySpark, or Spark-based data processing.
  • Exposure to DevOps/CI-CD practices and source control tools.
  • Snowflake or Azure certifications are a plus.

Nice to Have

  • Kafka or streaming data experience.
  • Data governance and data quality implementation experience.
  • Experience working in large-scale cloud modernization or migration initiatives

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