Senior Data Engineer

Senior Data Engineer –
Apex Fintech Solutions

Apex Fintech Solutions (AFS) powers innovation and the future of digital wealth management by processing millions of transactions daily, simplifying, automating, and facilitating access to financial markets for all. Our suite of fintech solutions supports clients such as Stash, Betterment, SoFi, Webull, and more than 20 million customers.

Collectively, AFS creates an environment where 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.

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

Apex Fintech Solutions is seeking a Senior Data Engineer to join our data engineering team, responsible for designing, developing, and maintaining robust data solutions that empower decision‑making and enhance business processes. You will leverage your expertise in Python, MS SQL, Big Query SQL, and cloud platforms (GCP, AWS, or Azure) to optimize data pipelines, enhance data models, and contribute to analytical insights.

Proficiency in Airflow will be critical to orchestrate workflows efficiently. While not a direct management position, you will play a leadership role by guiding junior data engineers, promoting best practices, and fostering technical excellence. You will also collaborate with cross‑functional teams to deliver scalable and reliable solutions aligned with business objectives.

• Design and implement scalable data pipelines to extract, transform, and load structured and unstructured data across multiple platforms. Utilize Airflow to orchestrate complex workflows and ensure efficient task execution.
• Build and optimize data solutions leveraging cloud platforms including GCP, AWS, or Azure.
• Develop and maintain data models and schemas that align with business needs and support analytics initiatives.
• Conduct detailed analysis of datasets to validate accuracy, completeness, and consistency.
• Provide mentorship and technical guidance to junior data engineers.
• Leverage AI‑powered tools to enhance productivity and drive innovation within the team.
• Collaborate with product managers, analysts, and other technical teams to identify data requirements and craft impactful solutions.
• Investigate and resolve data and pipeline‑related issues in production environments, minimizing downtime and ensuring reliability.
• Stay updated with industry best practices, trends, and emerging technologies in data engineering and cloud computing.

• Bachelor’s degree in Computer Science, Engineering, Data Analytics, or related field (advanced degree preferred).
• 5+ years of experience in data engineering or related roles with expertise in Python, MS SQL, Big Query SQL, and Airflow.
• Experience designing and optimizing data pipelines and ETL workflows for large datasets in cloud environments.
• Proven ability to mentor and guide junior engineers while contributing as an individual contributor.
• Experience with automated testing frameworks for data integrity and workflow reliability.
• Experience with CI/CD pipelines and modern data engineering tools.
• Financial services background is a bonus but not required.

• Expertise in Airflow for workflow orchestration and pipeline management.
• In‑depth knowledge of data engineering processes, including ETL, data modeling, and cloud solutions.
• Strong proficiency in SQL‑based technologies and ability to write and optimize complex queries.
• Proficiency in Python for data processing and task automation.
• Excellent troubleshooting and problem‑solving abilities in production environments.
• Effective communication and collaboration skills.
• Knowledge of Agile methodologies and tools such as Jira.

• This job operates in a hybrid office environment, 3 days per week.

We offer a robust package of…