Data Engineer

Apex Fintech Solutions • Austin, TX

6d • Hybrid

About The Position

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

The position designs, builds, and optimizes scalable data pipelines; develops and maintains real-time database systems and data warehouses; collaborates with stakeholders to understand requirements and deliver business insights through analytics; and improves data quality, reliability, and processing efficiency. It also documents data architecture processes and systems, ensures compliance with industry standards and company policies, and supports data platform operations in all environments during business hours.

The role operates in a modern hybrid office environment with collaborative teams, open communication across departments, and a fast-paced, innovative, results-oriented culture that emphasizes data-driven decision-making.

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 data engineering experience 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 volumes 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 Calm app subscription.
• External learning benefits.
• Tuition reimbursement.
• Hybrid work schedule with flexibility to work from home and a primary office.

What This Job Offers

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