Data Engineer: Real-Time Pipelines for Fintech

Apex Fintech Solutions LLC; Austin (CO); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare benefits (medical, dental,

PTO and 401k match

Parental leave

HSA contribution

Calm app subscription

Tuition reimbursement

Hybrid work schedule

Job summary

Apex Fintech Solutions seeks a Data Engineer to improve data quality, performance, and accessibility across our fintech platforms. You will design data pipelines, work with real-time databases and data warehousing, and collaborate with stakeholders to deliver insights that empower financial services innovation.

A Bachelor's degree and 2+ years in data engineering are required. The role offers a hybrid work arrangement with opportunities across multiple offices in the U.S.

Qualifications

• Proficient in Python and 2+ years of experience with Cloud Data technologies.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate data.
• Experience in ETL processes using micro services.

Responsibilities

• Design, build, and optimize data pipelines for robustness and scalability.
• Develop and maintain real-time databases and data warehousing solutions.
• Collaborate with stakeholders to translate data requirements into insights.
• Enhance data quality and reliability with modern data management techniques.
• Drive improvements to reduce downtime and improve data processing efficiency.
• Document data architecture processes and ensure compliance with standards.
• Support data platform operations across environments during business hours.

Skills

Python

Cloud Data technologies

Analytical thinking

ETL processes

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Data pipelines

Job description

Apex Fintech Solutions seeks a Data Engineer to improve data quality, performance, and accessibility across our fintech platforms. You will design data pipelines, work with real-time databases and data warehousing, and collaborate with stakeholders to deliver insights that empower financial services innovation.

A Bachelor's degree and 2+ years in data engineering are required. The role offers a hybrid work arrangement with opportunities across multiple offices in the U.S.