6 months ago
Remote, United States or San Diego, CA, USAStaff+
Base Salary
$125k - $150k/yr
Responsibilities
- Modernize SSIS and SSRS workloads into modular, high-performance cloud-native data pipelines.
- Design and implement reusable data patterns for ingestion, transformation, curation, and consumption across the Lakehouse.
- Lead POCs and POVs evaluating technologies such as Delta Live Tables, Iceberg, streaming ingestion, and AI-driven observability.
- Use Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests for code generation, testing, documentation, and optimization.
- Apply predictive models to detect pipeline anomalies and data drift and optimize compute and scheduling.
- Establish CI/CD, version control, peer review, observability, and other engineering standards across the data platform.
- Partner with data architects, platform engineers, analysts, and business product owners to translate business needs into technical solutions.
- Mentor data engineers and provide technical guidance on modern data engineering practices.
- Tune Spark workloads, storage tiers, and orchestration logic across Azure and GCP.
Requirements
- Bachelor’s degree.
- 8+ years of experience in data engineering or related technical fields, including at least 3+ years in a lead or senior role.
- Experience designing and implementing CDC, SCD, Medallion, Data Vault, streaming, and batch data patterns.
- Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka.
- Experience with Azure and/or GCP, including services such as Synapse, Data Factory, BigQuery, and Pub/Sub.
- Hands-on experience modernizing SSIS/SSRS workloads into cloud-native pipelines.
- Ability to build POCs and POVs validating tools, frameworks, and architectures.
- Working knowledge of AI-assisted engineering tools for development, observability, or optimization.
- Proficiency in SQL and at least one of Python, Scala, or Java.
- Strong problem-solving, architectural thinking, collaboration, and communication skills.
Benefits
- Medical, dental, vision, and life insurance may be available.
- Paid sick leave, approximately three weeks of vacation, and about 11 holidays per year.
- HSA or FSA account and other voluntary benefits.
- 401(k) retirement savings plan with employer match and a 529 savings plan.
- Employee mortgage loan program and free access to an Axos Bank account with self-directed trading.
- Offers are contingent on successfully passing credit, criminal background, and pre-employment drug screening, including marijuana screening.
- The posting describes an office-based work environment requiring extended sitting and use of standard office equipment.
Tech Stack
Apache AirflowApache KafkaApache SparkAzureDatabricksdbtGoogle BigQueryGoogle Cloud PlatformJavaPythonScalaSQL
Categories
Data Engineering
About Axos Bank
Axos Bank is a digital-first, publicly traded bank (NYSE: AX) offering consumer and business banking, lending, and wealth services, including checking and savings accounts, mortgages, auto and personal loans, and CDs. Founded in 2000 and headquartered in San Diego, it also provides securities clearing and custody through Axos Clearing for broker-dealers and RIAs, with revenue driven by interest income and fees across its nationwide online platform.