Data Engineer

Data Engineer

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

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.

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.