Data Engineer – Marketing Data & Analytics

About This Job

Marketing Data & Analytics is building the Marketing data foundation on the Axos Databricks Data Intelligence Platform: governed, certified datasets that power reporting, self-service analytics, and data science across Enterprise Marketing. The Data Engineer designs, builds, and operates the pipelines behind that foundation, from source ingestion through certified Delta tables in Unity Catalog, and keeps them reliable, documented, and cost-efficient in production.

Axos Business Center, Corp

About This Job

Marketing Data & Analytics is building the Marketing data foundation on the Axos Databricks Data Intelligence Platform: governed, certified datasets that power reporting, self-service analytics, and data science across Enterprise Marketing. The Data Engineer designs, builds, and operates the pipelines behind that foundation, from source ingestion through certified Delta tables in Unity Catalog, and keeps them reliable, documented, and cost-efficient in production.

Databricks is our core data engineering platform, and we are looking for an engineer with strong, hands‑on Databricks experience who holds the Databricks Certified Data Engineer Associate or Professional credential. Just as important is how you work: you communicate clearly and concisely, you are a genuine team player across sites and time zones, and you stay humble, curious, and eager to learn and grow with the platform and the team.

Primary Responsibilities

• Design, build, and operate batch and incremental data pipelines on Databricks using Delta Lake, Unity Catalog, Databricks Workflows, PySpark, and SQL
• Ingest data from enterprise systems, SaaS platforms, files, and APIs; apply standardization, data-quality checks, and business rules to produce certified, well‑modeled tables that analysts, data scientists, and self‑service tools consume
• Write efficient, readable SQL and Python; tune performance and cost; follow the medallion architecture and the team's modeling and naming standards
• Implement monitoring, alerting, runbooks, and rerun procedures so every production pipeline has a clear owner and a tested recovery path
• Participate in code review, version control, CI/CD, and production promotion with the Platform team; document what you build so others can run and extend it
• Partner with analysts, data scientists, and the Data Architecture and Data Governance leads to translating requirements into pipeline designs, and with the Data Steward on access, classification, and data‑handling rules
• Use approved AI‑assisted development tools (Databricks Genie, Claude Code, Cursor) to accelerate development and documentation, with careful review of generated code
• Contribute to team standards, share what you learn, and help onboard and mentor teammates

What we are looking for

Required

• Databricks Certified Data Engineer Associate or Professional, with 3+ years of hands‑on Databricks experience (Delta Lake, Unity Catalog, Workflows, PySpark, Databricks SQL) in production
• Strong SQL, including window functions, incremental and merge patterns, and performance tuning on large tables
• Python for data engineering (PySpark or pandas), API integration, and file processing
• Experience running pipelines in production: monitoring, incident handling, root‑cause analysis, and documentation
• Excellent and concise communication explains technical work in plain language, writes clear documentation and status updates, and keeps stakeholders informed without being asked
• Team player: collaborates across U.S. and ABC sites, shares credit, asks for and offers help, and puts the team's delivery ahead of individual preference
• Humble and growth‑minded: welcomes feedback and code review, learns new tools and domains quickly, and grows into broader responsibility over time
• Attention to detail and ownership of data quality; comfort working within a regulated environment's privacy, access, and change‑control requirements

Preferred

• Experience with Salesforce, Salesforce Marketing Cloud, web analytics, or other marketing and customer data sources
• Familiarity with dimensional modeling frameworks, data‑quality tooling, and metric or semantic layers
• Exposure to entity matching or master‑data concepts
• Financial services or other regulated‑industry experience
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience

About Axos

Born digital‑first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We’re a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology‑driven solutions that offer unbeatable value to our customers.

Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX).

Learn More about working at Axos Business Center

Pre-Employment Background Check, Medical, and Drug Test:

All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre‑employment medical and drug screening.

Equal Employment Opportunity

Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws.

Job Functions and Work Environment

While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc.

The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.