Data Engineer

APEX Fintech Services • Austin, TX

2d • Hybrid

About The Position

The Data Engineer will operate, maintain, and improve data quality, accuracy, timeliness, accessibility, and processing speed in support of Apex Fintech Solutions’ goal of enhancing financial services through technology. The role develops innovative data solutions that support fintech initiatives and connects data systems with strategic business objectives.

This position designs, builds, and optimizes scalable data pipelines; develops and maintains real-time database systems and data warehouses; and works with stakeholders to translate data requirements into systems that provide business insights. It also improves data quality and reliability, identifies system optimizations to reduce downtime and increase processing efficiency, documents data architecture and systems, and supports data platform operations during business hours.

The position operates in a modern hybrid office environment, with collaborative teams, cross-department communication, and a fast-paced, data-driven culture.

Requirements

• Proficiency in Python.
• At least 2 years of experience with cloud data technologies.
• Strong analytical skills, including the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Experience with ETL processes using microservices.
• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• At least 2 years of experience in data engineering with a proven track record in data management systems.

Nice To Haves

• Experience in the financial services industry.

Responsibilities

• Design, build, and optimize robust, scalable data pipelines capable of handling large amounts of data.
• Develop and maintain real-time database systems and data warehousing solutions aligned with business needs.
• Collaborate with stakeholders to understand data requirements and implement systems that provide business insights through data analytics.
• Improve data quality and reliability using modern data management techniques and technologies.
• Identify and implement system optimizations to reduce downtime and improve data processing efficiency.
• Document data architecture processes and systems and ensure compliance with industry standards and company policies.
• Support data platform operations in all environments during business hours.

Benefits

• Healthcare benefits, including medical, dental, vision, and EAP.
• Competitive PTO.
• 401(k) match.
• Parental leave.
• HSA contribution match.
• Paid subscription to the Calm app.
• External learning benefits.
• Tuition reimbursement.
• Hybrid work schedule with flexibility to work from home and from a primary office.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level