Data Engineer II

Daily Pay

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$120,000–$140,000 / yr
Employment
Full-time
Posted
24 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $152k
This role $130k
$100k $186k
below market most similar roles pay here above market

This role pays less than 60% of similar roles. Most pay $126,175–$177,250 — the blue band above. At the midpoint, this role pays about $130k versus about $152k for comparable roles.

Based on 240 similar postings.

Employer

About Daily Pay

DailyPay is an employee financial wellness platform that allows workers to access their earned wages before payday, helping employers improve retention and financial well-being for their employees. Industry: Financial Technology & Employee Benefits

Daily Pay currently has 10 open roles on FindRole.

Listed pay typically runs $136,000–$199,500 across 10 roles with salary data.

Most-posted roles

View all roles at Daily Pay

At a glance

TL;DR · Data Engineer II

The Data Engineer II joins the Data Engineering Team to build and maintain the data infrastructure underpinning internal analytics and external data products. This role involves developing ETL and data pipelines, designing testing and scaling capabilities, and optimizing database performance to reduce warehouse costs. You will maintain monitoring and alerting for the data warehouse and analytics infrastructure while producing reports and dashboards for internal and external use. Key technical requirements include expert SQL skills, experience with dbt, and knowledge of data storage architectures like data lakes and warehouses. You will work with cloud platforms, MPP warehouses like Snowflake or BigQuery, and ETL tools like Fivetran. The role focuses on processing large volumes of data to provide insights into the payroll industry and personal financial wellbeing.

What does a Data Engineer earn in New York?

Median $185022 from 33 postings across 21 companies.

See salary data

What you'll do

  • Build and maintain the company’s ETL and data pipelines.
  • Design and implement data testing and scaling capabilities.
  • Maintain and optimize monitoring and alerting for the data warehouse and analytics infrastructure.
  • Optimize database performance to reduce warehouse costs and development times.
  • Participate in code approvals and PR reviews for company-wide analytics engineering efforts.
  • Produce and maintain data reports, metrics, and dashboards for internal and external use.
  • Reverse-engineer legacy reports into structured, automated solutions.

What we're looking for

  • 4+ years of SQL experience with expert-level capability.
  • 1+ years of experience with dbt, including implementing data quality checks and testing frameworks.
  • Experience in data storage architectures including dimensional models, data lakes, data lake houses, and data warehouses.
  • Experience working in an event-driven architecture and cloud platforms such as AWS, Azure, or GCP.
  • Experience working with large volumes of data to make models performant and scalable.
  • Experience with MPP data warehouses such as Snowflake or BigQuery.
  • Familiarity with BI tools like Tableau or Looker and ETL tools like Fivetran or Stitch.
  • Familiarity with Python, Go, CI/CD, Airflow, or reverse ETL tools (preferred).

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