Data Engineer — ETL Pipelines & Data Quality

Axiom Bank; Florida; On-site; USD 90,000 - 125,000; Full time

Benefits offered by this job

12 Paid Holidays

Generous Paid Time Off

4% Match on our 401(k)

Medical, Dental and Vision Benefits

100% Company Paid Life, AD&D Insurance

Job summary

Axiom Bank in Maitland,FL is seeking a Data Engineer to design, build, and optimize Python-based ETL/ELT pipelines for ingestion, staging, transformation, mapping, validation, and output generation.

You will use SQL to transform and validate warehouse data, integrate diverse banking sources, maintain mappings and data models, and ensure data quality with audit-ready evidence and robust controls.

Qualifications

• Bachelor's degree in computer science, information systems, or a related field.
• Five+ years of progressive experience in data engineering, ETL/ELT, and data warehousing.
• Proven ability to ensure data quality, audit-ready evidence, and regulatory controls.

Responsibilities

• Develops, executes, troubleshoots, and improves Python-based ETL/ELT pipelines for ingestion, staging, transformation, mapping, validation, and output generation.
• Uses SQL to query, transform, validate, reconcile, and load warehouse data; optimizes queries and resolves database issues.
• Maintains source-to-target mappings, schemas, data models, field definitions, relationships, and downstream dependencies.
• Performs root-cause analysis across source data, mappings, databases, interfaces, and reports.
• Monitors production workflows, logs, alerts, and recovery procedures to ensure on-time delivery; supports audits and documentation.

Skills

Python

SQL

ETL/ELT

Data Warehousing

Data Modeling

Data Governance

Root Cause Analysis

Education

Bachelor's degree in Computer Science / IT / Data-related field

Tools

Git

Job description

Axiom Bank in Maitland,FL is seeking a Data Engineer to design, build, and optimize Python-based ETL/ELT pipelines for ingestion, staging, transformation, mapping, validation, and output generation.

You will use SQL to transform and validate warehouse data, integrate diverse banking sources, maintain mappings and data models, and ensure data quality with audit-ready evidence and robust controls.