Data Engineer II

DailyPay, LLC; United States; Hybrid; USD 110,000 - 150,000; Full time

Job summary

DailyPay, LLC is seeking a Data Engineer II to join a dynamic team in a full-time hybrid role. You will build and maintain ETL pipelines, design data testing capabilities, and optimize database performance to support analytics across departments.

You will produce and maintain data reports, analytics, metrics, and dashboards for internal and external use, leveraging cloud data platforms and BI tools to empower data-driven decisions.

Qualifications

• 4+ years of SQL experience with expert capability.
• Experience in data storage architectures, including dimensional models and data warehouses.
• Experience working in cloud platforms (AWS, Azure, GCP) and event-driven architecture.
• Familiarity with BI tools (Tableau, Looker) and ETL tools (Fivetran, Stitch).
• Experience with MPP data warehouses such as Snowflake or BigQuery.

Responsibilities

• Build and maintain ETL and data pipelines.
• Design and implement data testing and scaling capabilities.
• Produce and maintain data reports, analytics, metrics, and dashboards for internal and external use.

Skills

SQL

Data Warehousing

Cloud Platforms (AWS/Azure/GCP)

ETL Tools (Fivetran, Stitch)

BI Tools (Tableau, Looker)

MPP Data Warehouses (Snowflake, Big­Qe

Tools

Fivetran

Stitch

Tableau

Looker

Snowflake

BigQuery

AWS

Azure

GCP

Job description

Joining a dynamic team, the full-time hybrid Data Engineer II will build and maintain ETL and data pipelines, design data testing capabilities, and optimize database performance to support data analytics across various departments.

Key responsibilities:

• Build and maintain company's ETL and data pipelines
• Design and implement data testing and scaling capabilities
• Produce and maintain data reports, analytics, metrics, and dashboards for internal and external use

Required qualifications:

• 4+ years of SQL experience with expert capability
• Experience in data storage architectures, including dimensional models and data warehouses
• Experience working in cloud platforms (e.g., AWS, Azure, GCP) and event-driven architecture
• Familiarity with BI tools (e.g., Tableau, Looker) and ETL tools (e.g., Fivetran, Stitch)
• Experience with MPP data warehouses such as Snowflake or BigQuery