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Apex Fintech Solutions · 1 day ago

Senior Software Engineer

Austin, TX

Full-time

Hybrid

Senior Level

5+ years exp

Apex Fintech Solutions (AFS) is a leading company in digital wealth management, processing millions of transactions daily to simplify access to financial markets. The Senior Data Engineer will design and optimize cloud-native data pipelines, transforming raw financial data into valuable business insights while collaborating with cross-functional teams to support analytics and reporting needs.

Financial Services

H1B Sponsor Likely

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines for our enterprise data warehouse and data lake

Implement robust data processing systems that support our Data Products

Build systems to handle real-time and batch data updates using change data capture (CDC) tools such as HVR, Dataflow, Datastream

Build and extend existing systems that process, store, and move streaming and batch data from SQL-based sources to centralized GCP storage and/or cloud data warehousing platforms

Build complex views that enable convenient and intuitive access to datasets

Implement comprehensive data quality checks and monitoring to ensure accuracy and reliability

Optimize existing data workflows for improved performance, cost efficiency, and scalability

Ensure system quality, stability, and maintainability across all solutions

Build and maintain data models that support transactional workloads, analytics and reporting needs

Optimize existing data workflows for improved performance and efficiency

Build, maintain, and extend data models that support realtime transactions, analytics and reporting needs

Work with a continuous improvement mindset

Provide Level 2 support and be part of on-call rotations

Communicate effectively with teams across many product domains

Participate in code reviews and contribute to best practices for data engineering

Document architectural diagrams and technical specs for data processes and workflows

Ensure security and privacy of data in accordance with financial-sector compliance requirements

Implement appropriate access controls and data governance practices

Support data operations across development, testing, and production environments

Perform regular audits and attestations for data protection and compliance

Gather requirements from stakeholders and translate them into technical solutions

Advocate for architectural designs, explain tradeoffs, and recommend optimal paths forward

Serve as technical lead on a team of data engineers

Coordinate across Data Product teams to align tool usage and encourage best practices

Qualification

Google Cloud PlatformSQLPythonETL/ELT toolsData modelingCI/CD systemsChange data captureRelational databasesKubernetesGitAnalytical skillsProblem-solving skillsCommunication skills

Required

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field

5+ years of experience in data engineering, cloud data engineering, or similar roles

Expert-level knowledge of Google Cloud Platform (GCP)

Expert proficiency in SQL and Python; familiarity with Java is a plus

Experience with ETL/ELT tools and frameworks (Apache Airflow, AWS Glue, dbt, GCP Dataflow)

Strong experience with relational database systems (PostgreSQL, SQL Server) and cloud data warehouses such as Bigquery, Snowflake

Experience with CI/CD systems, Infrastructure as Code (Terraform), and Kubernetes

Experience with change data capture (CDC) tools like HVR, Datastream, Dataflow, Kinesis

Proficiency with Git and modern CI/CD development practices

Demonstrated experience in crafting effective prompts for various AI models and use cases

Hands-on exposure with multiple LLMs (e.g., GPT-4, Claude, Gemini, open-source models)

Proven experience using Agentic AI tools to co-author development work, including code generation, debugging, and optimization

Understanding of how to integrate AI capabilities into data processing workflows and automation

Strong understanding of data warehousing concepts and dimensional modeling

Knowledge of distributed systems and data architecture patterns

Understanding of batch vs. streaming data processing

Experience with data modeling and schema design

Strong analytical and problem-solving skills

Preferred

Experience in financial services strongly preferred

GCP Data Engineer certification strongly preferred

Benefits

Healthcare benefits (medical, dental and vision, EAP)

Competitive PTO

401k match

Parental leave

HSA contribution match

Paid subscription to the Calm app

Generous external learning and tuition reimbursement benefits

Hybrid work schedule

Company

Apex Fintech Solutions

Apex Fintech Solutions provides the tools and services that enable hundreds of clients to launch, scale, and support digital investing for tens of millions of end investors.

Founded in 2012

Dallas, Texas, US

501-1000 employees

https://apexfintechsolutions.com

H1B Sponsorship

Apex Fintech Solutions has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (17)

2024 (14)

2023 (25)

2022 (13)