Vista, CA

Data Jobs in Vista, CA

2 jobs found

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1mo ago

Lead Analytics Engineer

EasyPay Finance Vista, CA

Vista, CA

1mo ago Closed

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

This position is no longer accepting applications (closed Oct 19, 2026).

Job Description

EasyPay Finance is seeking a Lead Analytics Engineer to consolidate analytics into a single SQL Server database alongside its lending systems. This hands-on role owns the end-to-end platform, from data ingestion and governed modeling to KPI definitions and daily production reporting, while leading one analyst to improve quality.

Based in Vista, CA (hybrid), the position supports reliable operations, reusable analytics assets, and practical reporting that business teams can depend on.

What you will do

Run the analytics database and its scheduled jobs, ensuring they are reliable, monitored, and documented.
Ingest new data sources through vendor APIs (including CRM, contact center, and lending platforms) using incremental and restartable loads.
Model raw data into trusted tables and views for downstream reporting.
Build operational reporting that is correct every day, including call lists, merchant partner reporting, and management reports.
Own the data dictionary and KPI definitions in partnership with business owners.
Lead one analyst, setting direction and raising the bar on data quality.

What you bring

5+ years running production data pipelines and reporting.
Strong SQL Server skills, including window functions, deduplication, and performance work on large tables.
Experience with Python for API extraction and pipeline development.
Proficiency operating scheduled jobs with logging, alerting, and quality checks.
Track record publishing data to a BI tool and supporting users.
Comfort working with Git.

Technology focus

SQL Server
Python
Git
BI tool

First 90 days

Learn the business and current platform.
Operate by taking over daily platform operations alongside the team.
Deliver by landing one new source end to end.
Define the first shared KPI definitions and document them.

Preferred qualifications

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

Compensation

Compensation is based on work location. For Vista, CA (hybrid), the salary range is USD 135,000 - 180,000 per year. Individual offers within the applicable range depend on job-related factors such as experience, skills, and qualifications.

San Diego (onsite/hybrid): $150,000–$180,000 base per year
Remote (outside California): $135k–$160k base per year (set by the labor market for the candidate’s location)

Benefits

Paid Time Off (PTO) Program, plus 10 paid holidays
401(k) programs with employer match
Internet reimbursement: $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

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3mo ago

Senior Machine Learning Engineer

Leidos Vista, CA

Vista, CA

3mo 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

The Senior Machine Learning Engineer role at Leidos in Vista, CA onsite centers on MLOps enabled object detection for border security, guiding the development, deployment, and integration of models across operational systems.

Compensation

Annual salary range: USD 107,900 to 195,050.

Location

Vista, California, onsite

Responsibilities

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

Requirements

MS or PhD in Data Science, Engineering, Applied Science, or a closely related field with a minimum of 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 versioning using a platform such as MLflow to ensure transparency and auditability
Experience with data versioning frameworks like DVC, MLFlow Dataset, or LakeFs
Experience deploying and managing machine learning models in production using Docker or Kubernetes
Familiarity with modern data stacks including cloud platforms, data warehouses, and MLOps concepts
Ability to evaluate technical approaches and guide decision-making
Proven delivery ownership and strong cross-functional collaboration
Ability to multitask across multiple projects
Excellent written and verbal communication skills
Travel up to 25 percent may be required
Ability to obtain and maintain Public Trust access

Technologies

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

Benefits

Competitive compensation
Health and wellness programs
Income protection
Paid leave
Retirement benefits

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Data Jobs in Vista, CA

Lead Analytics Engineer

Senior Machine Learning Engineer

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