Apex Fintech Solutions
Overview
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Data Engineer
role at
Apex Fintech Solutions .
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 fintech solutions support clients such as Stash, Betterment, SoFi, and Webull, and more than 20 million of our clients' customers.
As a Data Engineer on our Data Warehouse team, you will design, build, and optimize robust data pipelines that transform raw financial data into valuable business insights. You’ll work with cross-functional teams to understand data requirements and implement scalable solutions that support growing data needs.
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 data accuracy and reliability
Optimize existing data workflows for 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
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 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 in financial services
What We Offer
Competitive salary and comprehensive benefits
Hybrid work options in Dallas or Austin
Health, dental, and vision insurance
401(k) with company match
Professional development and training resources
Collaborative and innovative environment
Opportunity to work with cutting-edge data technologies
EEO Statement : Apex Fintech Solutions is an equal opportunity employer that does not discriminate on any protected characteristic. Our hiring practices ensure fair consideration for all qualified applicants.
Disability Statement : We are committed to creating an accessible workplace. If you require accommodations, please submit your request via the Candidate Accommodation Requests Form.
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Data Engineer
role at
Apex Fintech Solutions .
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 fintech solutions support clients such as Stash, Betterment, SoFi, and Webull, and more than 20 million of our clients' customers.
As a Data Engineer on our Data Warehouse team, you will design, build, and optimize robust data pipelines that transform raw financial data into valuable business insights. You’ll work with cross-functional teams to understand data requirements and implement scalable solutions that support growing data needs.
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 data accuracy and reliability
Optimize existing data workflows for 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
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 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 in financial services
What We Offer
Competitive salary and comprehensive benefits
Hybrid work options in Dallas or Austin
Health, dental, and vision insurance
401(k) with company match
Professional development and training resources
Collaborative and innovative environment
Opportunity to work with cutting-edge data technologies
EEO Statement : Apex Fintech Solutions is an equal opportunity employer that does not discriminate on any protected characteristic. Our hiring practices ensure fair consideration for all qualified applicants.
Disability Statement : We are committed to creating an accessible workplace. If you require accommodations, please submit your request via the Candidate Accommodation Requests Form.
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