Back to jobs

Data Engineer – Marketing Data & Analytics

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design, build, and operate batch and incremental pipelines on Databricks with Delta Lake and Unity Catalog

  • Ingest enterprise, SaaS, file, and API data and turn it into certified, well-modeled tables

  • Write efficient SQL and Python, tune performance and cost, and follow medallion architecture standards

  • Set up monitoring, alerting, runbooks, and tested rerun procedures for production pipelines

  • Take part in code review, CI/CD, and production promotion, and document the work

From the employer’s posting
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
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

What you’ll bring

All qualifications

Core experience

  • Strong SQL, including window functions, incremental and merge patterns, and performance tuning on large tables
  • Experience with Salesforce, Salesforce Marketing Cloud, web analytics, or other marketing and customer data sources
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience
  • Python for data engineering (PySpark or pandas), API integration, and file processing
  • Familiarity with dimensional modeling frameworks, data-quality tooling, and metric or semantic layers
  • Experience running pipelines in production: monitoring, incident handling, root-cause analysis, and documentation
Qualification wording
Strong SQL, including window functions, incremental and merge patterns, and performance tuning on large tables
Experience with Salesforce, Salesforce Marketing Cloud, web analytics, or other marketing and customer data sources
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience
Python for data engineering (PySpark or pandas), API integration, and file processing
Familiarity with dimensional modeling frameworks, data-quality tooling, and metric or semantic layers
Experience running pipelines in production: monitoring, incident handling, root-cause analysis, and documentation
Education & alternatives
- 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

About Axos Financial

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.

In the employer’s words · Read in context

Apply at Axos Financial

Posting record

Report an error
Status in our records
Live
First seen by us
Sep 28, 202637 days ago
Recorded sightings
108
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 37

Similar jobs usually come down between day 6 and day 54.

From 10,824 similar postings that came down. Coming down is not always a hire.

Axos Financial is hiring

27 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Databricks
  • Delta Lake
  • pandas
  • PySpark
Where the posting names them
- 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
- 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
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
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
- 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
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.
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
- 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

Your next step

Complete your application on axos.wd5.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Manila, Philippines

Working pattern and location restrictions need checking in the full posting.

Work authorization
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:

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.