Vista, CA

Engineer Jobs in Vista, CA

2 jobs found

Include remote jobs

Today

Lead Analytics Engineer

EasyPay Finance Vista, CA

Vista, CA

Today

$135k - $180k/yr Full time Manager Analytics Bi Tool

Apply Now

Job Description

EasyPay Finance is building analytics that connect lending systems into one governed SQL Server database. In this hybrid role in Vista, CA, you will operate the platform end to end while consolidating data ingestion, modeling, KPI definitions, and daily production reporting. You will lead an analyst and develop reusable analytics assets that help the business trust what they see.

What you’ll be doing

Run the analytics database and scheduled jobs with reliability, monitoring, and documentation.
Ingest new data sources via vendor APIs, including CRM, contact center, and lending platforms, using incremental, restartable loads.
Transform raw datasets into modeled tables and views designed for business confidence.
Deliver operational reporting that must be correct every day, including call lists, merchant partner reporting, and management reports.
Own the data dictionary and partner with business owners on KPI definitions.
Lead one analyst, setting direction and improving quality standards across deliverables.

What you bring

5+ years running production data pipelines and reporting.
Strong SQL Server skills, including window functions, deduplication, and performance tuning on large tables.
Python experience for API extraction and data pipeline implementation.
Experience operating scheduled jobs with logging, alerting, and quality checks.
Experience publishing data to a BI tool and supporting users of that BI reporting.
Comfort working in Git for version control and collaboration.

Tools and technologies

SQL Server, Python, Git, BI tool

First 90 days

Learn: get up to speed on the business and the current platform.
Operate: take over daily operations of the platform alongside the team.
Deliver: land one new data source end to end.
Define: produce the first shared KPI definitions, documented and agreed.

Preferred qualifications

Consumer lending or financial services experience.
Experience with Salesforce or Genesys Cloud Data.
BI tools such as Tableau, Metabase, ThoughtSpot, Omni, or similar.
Experience with dbt, Azure SQL, or AI/LLM tooling on data.

Compensation and location

Compensation is based on work location. Vista, CA (hybrid) and San Diego (onsite/hybrid) roles are listed at $150,000–$180,000 base per year. Remote roles outside California are listed at $135k–$160k base per year, set by the labor market for the candidate’s location. Individual offers within each range depend on job-related factors such as experience, skills, and qualifications.

Benefits

Paid Time Off (PTO) Program, plus 10 paid holidays
401(k) programs and employer match
Internet reimbursement of $40 per month
Access to EAP
Ongoing learning and development resources
Flexible Spending or Health Savings Accounts
Life and AD&D Insurance
Discounts for shopping at various retailers

View full job page →

2mo ago

Senior Machine Learning Engineer

Leidos Vista, CA

Vista, CA

2mo ago Closed

$108k - $195k/yr Full time Ai Ml Artificial Intelligence Computer Vision

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

Leidos offers a competitive compensation package along with a comprehensive benefits suite for an on-site role in Vista, California. This Senior Machine Learning Engineer position focuses on MLOps-enabled object detection for border security, ensuring the development, deployment, and integration of models across operational systems. The role carries a salary range of USD 107,900 to 195,050 per year and provides opportunities to own impactful projects from inception through production.

Benefits

Competitive compensation
Health and wellness programs
Income protection coverage
Paid leave and time-off benefits
Retirement savings options

Responsibilities

Develop, train, and evaluate machine learning models using modern MLOps practices and frameworks
Design and maintain reproducible training pipelines that support scalable and repeatable experimentation
Collaborate with cross-functional teams to integrate models into operational systems and workflows
Optimize model performance and reliability through continuous monitoring, testing, and iteration

Requirements

MS or PhD in Data Science, Engineering, Applied Science or a similar discipline with at least 10 years of industry experience
Ability to support the full ML lifecycle, from data preparation and training to deployment and monitoring
Experience tracking experiments, model performance, and model versioning using a platform like MLflow to ensure transparency and auditability
Experience with data versioning frameworks such as DVC, MLFlow Dataset, or LakeFs
Experience deploying and managing machine learning models in production environments using Docker or Kubernetes
Familiarity with modern data stacks including cloud platforms, data warehouses, and MLOps concepts
Ability to evaluate technical approaches and guide technical decision-making
Strong track record of delivery ownership and cross-functional collaboration
Ability to multitask across projects
Excellent communication skills, both written and verbal
Some travel is required (< 25%)
Ability to obtain and maintain Public Trust access

Technologies

MLflow, DVC, MLFlow Dataset, LakeFs
Docker, Kubernetes
Kubeflow, Airflow
ResNet, Yolo, U-Net

View full job page →

Engineer Jobs in Vista, CA

Lead Analytics Engineer

Senior Machine Learning Engineer

Get Engineer Jobs in Vista, CA alerts