Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Reads like a Data Leadership role: running a data team.
HQ - San Diego, CA
Open 5 months, first seen by us 165 days agoTarget Range: $125,000.00 /Yr. - $150,000.00 /Yr.Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education. Eligible for an Annual Discretionary Cash Bonus Target:
Target Range: $125,000.00 /Yr. - $150,000.00 /Yr. Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education. Eligible for an Annual Discretionary Cash Bonus Target: 10% Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10%Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Migrate legacy SSIS/SSRS ETL workloads to modular pipelines on Databricks, dbt, Fivetran, and Airflow
Define reusable data design patterns for ingestion, transformation, curation, and consumption
Run POCs and POVs to evaluate new data technologies and influence the roadmap
Enforce CI/CD, version control, peer reviews, and observability across the data platform
Mentor data engineers on technical guidance and modern best practices
Lead the transformation of SSIS/SSRS workloads into modular, high-performance pipelines using Databricks, dbt, Fivetran, and Airflow
Define and implement standardized frameworks for ingestion, transformation, curation, and consumption layers across the Lakehouse
Develop and lead POCs/POVs
Drive CI/CD, version control, peer reviews, and observability practices across the data platform
Provide technical guidance, foster continuous learning, and help the team adopt modern data engineering best practices
8+ years of experience in data engineering or related technical fields, with at least 3+ years in a lead or senior role.
401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
Proven experience designing and implementing data design patterns (e.g., CDC, SCD, Medallion, Data Vault, streaming, and batch patterns).
Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka. Solid experience across Azure and/or GCP (e.g., Synapse, Data Factory, BigQuery, Pub/Sub).
Hands-on experience modernizing legacy ETL (SSIS/SSRS) workloads into cloud-native pipelines.
Requirements: - Bachelors degree - 8+ years of experience in data engineering or related technical fields, with at least 3+ years in a lead or senior role.
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
Open 5 monthsWe first saw this posting 165 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 165
Up longer than most. Similar jobs usually come down between day 7 and day 53.
From 7,797 similar postings that came down. Coming down is not always a hire.
27 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Working knowledge of AI-assisted engineering tools for development, observability, or optimization. - Proficiency in SQL and one programming language (Python, Scala, or Java). - Strong problem-solving, architectural thinking, and collaboration skills.
- Mentor data engineers: Provide technical guidance, foster continuous learning, and help the team adopt modern data engineering best practices. - Optimize performance and cost: Continuously tune Spark workloads, storage tiers, and orchestration logic across Azure and GCP environments. Requirements:
- Proven experience designing and implementing data design patterns (e.g., CDC, SCD, Medallion, Data Vault, streaming, and batch patterns). - Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka. Solid experience across Azure and/or GCP (e.g., Synapse, Data Factory, BigQuery, Pub/Sub). - Hands-on experience modernizing legacy ETL (SSIS/SSRS) workloads into cloud-native pipelines.
Responsibilities - Modernize legacy ETL pipelines: Lead the transformation of SSIS/SSRS workloads into modular, high-performance pipelines using Databricks, dbt, Fivetran, and Airflow. - Architect reusable data design patterns: Define and implement standardized frameworks for ingestion, transformation, curation, and consumption layers across the Lakehouse.
- Develop and lead POCs/POVs: Experiment with new technologies (e.g., Delta Live Tables, Iceberg, streaming ingestion, AI-driven observability) to validate architecture choices and influence the enterprise roadmap. - Leverage AI to accelerate engineering: Use AI-enabled tools like Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests for code generation, automated testing, documentation, and pipeline optimization. - Apply ML for operational intelligence: Integrate predictive models to detect pipeline anomalies, data drift, and optimize compute and scheduling.
- Architect reusable data design patterns: Define and implement standardized frameworks for ingestion, transformation, curation, and consumption layers across the Lakehouse. - Develop and lead POCs/POVs: Experiment with new technologies (e.g., Delta Live Tables, Iceberg, streaming ingestion, AI-driven observability) to validate architecture choices and influence the enterprise roadmap. - Leverage AI to accelerate engineering: Use AI-enabled tools like Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests for code generation, automated testing, documentation, and pipeline optimization.
- Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka. Solid experience across Azure and/or GCP (e.g., Synapse, Data Factory, BigQuery, Pub/Sub). - Hands-on experience modernizing legacy ETL (SSIS/SSRS) workloads into cloud-native pipelines. - Demonstrated ability to build POCs and POVs that validate new tools, frameworks, or architectures.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Target Range:
$125,000.00 /Yr. - $150,000.00 /Yr.Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.
Eligible for an Annual Discretionary Cash Bonus Target:Eligible for an Annual Discretionary Restricted Stock Units Bonus Target:These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets.
About This Job
Target Range:Responsibilities
Requirements:
Axos Employee Benefits May Include:
Medical, Dental, Vision, and Life Insurance
Paid Sick Leave, 3 weeks’ Vacation, and Holidays (about 11 a year)
HSA or FSA account and other voluntary benefits
401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading
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
Pre-Employment Background Check and Drug Test:
All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment drug screening, which includes screening for marijuana. Axos Bank is a federally regulated banking institution. At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any person who tests positive for marijuana, regardless of state legalization.
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.
E-Verify and Right to Work Notices
Axos participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States. The E-Verify program is an internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Target Range: $125,000.00 /Yr. - $150,000.00 /Yr.Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education. Eligible for an Annual Discretionary Cash Bonus Target:
Target Range: $125,000.00 /Yr. - $150,000.00 /Yr. Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education. Eligible for an Annual Discretionary Cash Bonus Target: 10% Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10%
HQ - San Diego, CA
Working pattern and location restrictions need checking in the full posting.
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:
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. E-Verify and Right to Work Notices Axos participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States. The E-Verify program is an internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. IER Right to Work Poster (English/Spanish) E-Verify Participation Poster (English/Spanish)