[Hiring] Data Engineer @Lakeview Loan Servicing

Role Description

The Data Engineer on the Nebula team plays a critical role in building and evolving the data foundation that powers analytics, reporting, AI development, and operational decision-making across the organization. This role is responsible for designing, building, and maintaining reliable, scalable, and flexible data systems that support a wide range of internal and external use cases.

• Working across data ingestion, transformation, storage, modeling, and delivery.
• Partnering closely with Product, Engineering, AI, Analytics, and domain Subject Matter Experts (SMEs).
• Translating complex business processes and data needs into production-ready data pipelines and platforms.
• Contributing to the development and evolution of core data capabilities, including batch and real-time pipelines, operational and analytical data stores, semantic models, and BI-ready datasets.
• Operating effectively in a modern engineering environment using automation, observability, and infrastructure-as-code practices.
• Ensuring that data is trustworthy, accessible, and fit for purpose.

Qualifications

• 2-4+ years of experience building and operating production-grade data pipelines and data systems.
• Strong experience with industry-standard tools and platforms for ETL/ELT, orchestration, data warehousing, streaming, and BI.
• Experience working with both OLTP and OLAP systems, with a strong understanding of the tradeoffs between transactional and analytical workloads.
• Experience building flexible data pipelines that integrate with many different source and destination types, including databases, APIs, files, message queues, SaaS platforms, and event streams.
• Experience supporting both batch and real-time data processing patterns.
• Experience deploying and operating data infrastructure on major cloud platforms such as AWS, GCP, or Azure.
• Strong SQL skills and experience with data modeling, transformation frameworks, and performance optimization.
• Experience building AI-powered capabilities on top of LLMs, including orchestration, evaluation, and data integration patterns.
• Experience with modern programming languages commonly used in data engineering, such as Python, Java, Scala, or Go.
• Comfort working with CI/CD, infrastructure-as-code, observability, and production operations for data systems.
• Strong judgment in ambiguous environments where requirements evolve and systems must balance speed, reliability, and flexibility.
• Clear communication skills with both technical and non-technical teammates.

Requirements

• Experience with modern orchestration and transformation tools such as Airflow, Dagster, dbt, or similar platforms.
• Experience with cloud-native data warehouses or lakehouse platforms such as Snowflake, BigQuery, Redshift, Databricks, or equivalent technologies.
• Experience with streaming and real-time data platforms such as Kafka, Kinesis, SQS, or similar systems.
• Experience enabling BI and self-service analytics through curated datasets, semantic layers, and reporting platforms such as Looker, Power BI, Tableau, or similar tools.
• Experience in fintech, mortgage, lending, payments, insurance, or other regulated domains.
• Experience building data platforms that support AI, machine learning, or decisioning workflows.
• Experience improving data quality, reliability, cost efficiency, and platform scalability as a system grows.

Benefits

• Competitive salary range of $140,000 to $190,000 USD, plus an annual bonus.
• Medical coverage starting on day one.
• Company-matched 401(k).

A note to candidates

You do not need prior fintech or finance experience to succeed in this role. If you are a strong data engineer with solid technical judgment, a systems mindset, and excitement for solving complex data problems, we would love to hear from you.

If your background does not line up perfectly with every bullet, but this role feels like the kind of work you want to do, please apply.

Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.