5 months ago
San Diego, CA, USAStaff+
Base Salary
$125k - $150k/yr
Responsibilities
- Lead modernization of SSIS/SSRS workloads into high-performance cloud-native pipelines.
- Define and implement standardized data design patterns across Lakehouse ingestion, transformation, curation, and consumption layers.
- Develop proofs of concept and points of view for emerging technologies, frameworks, streaming ingestion, and observability capabilities.
- Use Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests for code generation, testing, documentation, and optimization.
- Integrate predictive models to detect pipeline anomalies and data drift and optimize compute and scheduling.
- Establish CI/CD, version control, peer review, and observability practices across the data platform.
- Collaborate with data architects, platform engineers, analysts, and business product owners to deliver technical solutions.
- Mentor data engineers and promote modern data engineering practices.
- Tune Spark workloads, storage tiers, and orchestration logic across Azure and GCP environments.
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 technologies such as Synapse, Data Factory, BigQuery, and Pub/Sub.
- Hands-on experience modernizing SSIS/SSRS workloads into cloud-native pipelines.
- Experience building POCs and POVs to validate tools, frameworks, and architectures.
- Working knowledge of AI-assisted engineering tools for development, observability, or optimization.
- Proficiency in SQL and one of Python, Scala, or Java.
- Strong problem-solving, architectural thinking, collaboration, communication, and stakeholder-translation skills.
Benefits
- Benefits may include medical, dental, vision, and life insurance; paid sick leave; approximately three weeks of vacation; about 11 holidays; HSA or FSA accounts; voluntary benefits; a 401(k) plan with employer match; a 529 savings plan; an employee mortgage loan program; and free access to an Axos Bank account with self-directed trading.
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.