Data Engineer II

Early Warning Services

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Scottsdale, AZChicago, ILSan Francisco, CANew York City, NY
Salary: $83,000–$110,000 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $153k

This role $96k

$71k $192k

below market most similar roles pay here above market

This role pays less than 98% of similar roles. Most pay $126,750–$180,125 — the blue band above. At the midpoint, this role pays about $96k versus about $153k for comparable roles.

Based on 240 similar postings.

Employer

About Early Warning Services

Early Warning Services is a fintech company that operates the Zelle person-to-person payments network, the Paze digital checkout wallet, and Certos fraud prevention and identity risk solutions for financial institutions.

Early Warning Services currently has 78 open roles on FindRole.

Listed pay typically runs $147,500–$180,500 across 40 roles with salary data.

Most-posted roles

View all roles at Early Warning Services

At a glance

TL;DR · Data Engineer II

Role Posting Log in to save

The Data Engineer II - Zelle joins the team to evaluate, design, and develop business intelligence solutions across multiple technology stacks. This role involves collaborating with business functions to interpret metrics into information clarity, defining requirements for reports, and identifying data gaps. Key responsibilities include developing backend solutions for new data sources, creating complex interactive dashboards in Tableau, and designing data ETL manipulations for production and ad-hoc analyses. The candidate will utilize a technical stack including PySpark, Python, Spark, Scala, SQL, and Linux environments, while building frameworks for data ingestion in Hadoop or AWS/S3. The position addresses the business problem of enhancing operational performance and data quality within a regulated, enterprise environment, specifically supporting the integrity and confidentiality of systems and data for the Zelle payment network.

What does a Data Engineer earn in California?

Median $187556 from 39 postings across 22 companies.

See salary data

Skills

Python PySpark Spark Scala SQL Tableau AWS S3 Hadoop Hive Impala Linux Cloudera R ETL Data Modeling Machine Learning Relational Databases

What you'll do

Define reporting requirements and identify data gaps by working directly with business users.
Design and develop backend solutions for new data sources using the Cloudera technology stack.
Create complex, interactive Tableau dashboards and scorecards to support business processes and projections.
Design and implement data ETL processes and manipulations for production and ad-hoc analyses.
Conduct in-depth data analysis to perform cause and effect analysis based on available metrics.
Write data infrastructure and analytics software tools specifically for the Data Science team.
Mentor interns and guide Data Scientists on software engineering best practices.
Recommend standards and policies for the structure and attributes of BI tools and systems.

What we're looking for

Candidates must independently possess the eligibility to work in the United States.
A Bachelor's degree is typically required.
Candidates typically have 2-4 years of experience in PySpark, Python, Spark, or Scala in a Linux environment.
Experience is required with SQL, Spark, and Python software/data engineering.
Experience is required with Tableau Server and Tableau Dashboards.
Experience is required with relational databases, including query optimization, indexing, and partitioning.
Experience is required building frameworks for data ingestion and storage in Hadoop or AWS/S3.
Experience is required with Machine Learning toolkits in Python/R (preferred).

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