Data Engineer Banking

AARATECH Inc.
Kansas City, MO, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Data Analysis Cloud Computing Data Validation Information Engineering Extract Transform Load (ETL) Data Warehousing Database Queries Python (Programming Language) SQL Databases Transaction Data Scripting
+2 more
Data Ingestion Data Pipelines

Job description

AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial systems. This role focuses on ingesting, transforming, and validating banking and transaction data. You will collaborate with analytics teams to support reporting and compliance needs. Ideal for early-career data professionals., * Support ETL / ELT data pipelines

  • Write SQL queries and basic Python scripts
  • Assist with data ingestion and transformation
  • Perform data quality checks
  • Support data warehouse activities
  • Collaborate with BI teams
  • Maintain technical documentation

Requirements

  • 1 3 years of experience in data engineering or analytics
  • Strong SQL skills
  • Basic Python knowledge
  • Understanding of ETL concepts
  • Exposure to cloud platforms
  • Analytical mindset
  • Good communication skills

Skills

SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Banking & Financial Data, Transaction Data Processing, Data Warehousing Concepts, AWS Basics, Data Quality, Data Validation, Compliance Awareness, Documentation, Collaboration with BI Teams

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:04 min

Introduction to Bitcoin script parsing tools

Steve Shadders · LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:53 min

Evaluating traditional scripting languages for modern development tasks

Jens Knipper Jens Knipper · Europe 2026 Virtual

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all