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Apex Fintech Solutions

Data Engineer

Apex Fintech Solutions, Austin, Texas, us, 78716

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WHO WE ARE

Apex Fintech Solutions (AFS) powers innovation and the future of digital wealth management by processing millions of transactions daily, to simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech solutions enables us to support clients such as Stash, Betterment, SoFi, and Webull, and more than 20 million of our clients' customers.

Collectively, AFS creates an environment in which companies with the biggest ideas in fintech are empowered to change the world. As a global organization, we have offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila.

If you are seeking a fast-paced and entrepreneurial environment where you'll have the opportunity to make an immediate impact, and you have the guts to change everything, this is the place for you.

AFS has received a number of prestigious industry awards, including: 2021, 2020, 2019, and 2018 Best Wealth Management Company - presented by Fintech Breakthrough Awards 2021 Most Innovative Companies - presented by Fast Company 2021 Best API & Best Trading Technology - presented by Global Fintech Awards ABOUT THIS ROLE

Position Overview

At our organization, we're transforming how businesses leverage data to drive strategic decisions. Our Data Warehouse team is at the heart of this mission, building and maintaining the scalable infrastructure that powers our analytics capabilities. As a

Data Engineer

on our team, you will design, build, and optimize robust data pipelines that transform raw financial data into valuable business insights. You'll work closely with cross-functional teams to understand data requirements and implement scalable solutions that support our growing data needs. This role offers an exciting opportunity to work with cutting-edge technologies while solving complex data challenges in a fast-paced environment.

Key Responsibilities:

Design, develop, and maintain scalable ETL/ELT pipelines for our enterprise data warehouse Collaborate with stakeholders to understand data requirements and translate them into technical solutions Implement data quality checks and monitoring to ensure accuracy and reliability of data Optimize existing data workflows for improved performance and efficiency Build and maintain data models that support analytics and reporting needs Document data architecture, processes, and workflows Participate in code reviews and contribute to best practices for data engineering Support data warehouse operations across development, testing, and production environments Stay current with emerging technologies and recommend improvements to our data stack Required Qualifications

Bachelor's degree in Computer Science, Information Systems, or related field 2+ years of experience in data engineering or similar roles Strong SQL skills and experience with relational database systems (e.g., PostgreSQL, SQL Server) Proficiency in Python for data processing and automation Experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, AWS Glue, dbt) Familiarity with cloud data platforms (AWS, Azure, or GCP) Knowledge of data warehousing concepts and dimensional modeling Experience with version control systems (Git) and CI/CD practices Strong analytical and problem-solving skills Excellent communication abilities and team collaboration Preferred Qualifications

Experience with data warehouse technologies like Snowflake, Redshift, or BigQuery Knowledge of Infrastructure as Code (IaC) tools such as Terraform Experience with stream processing technologies (Kafka, Kinesis) Familiarity with financial data and systems Experience with data visualization tools (Tableau, Power BI, Looker) Knowledge of data governance and compliance requirements in financial services What We Offer

Competitive salary and comprehensive benefits package Flexible work arrangements with hybrid office options in Dallas or Austin Comprehensive health, dental, and vision insurance 401(k) retirement plan with company match Professional development opportunities and training resources Collaborative and innovative work environment Opportunity to work with cutting-edge data technologies Career growth potential in a rapidly expanding field

#engineering #associate #full-time #LI-MJ1

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Our Rewards

We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS, we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices.

EEO Statement

Apex Fintech Solutions is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics.

Disability Statement

Apex Fintech Solutions is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please submit your request via the Candidate Accommodation Requests Form. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.