California

Developer Jobs in California

399 jobs found

Include remote jobs

9d ago

Data Engineer 1

Adobe San Jose, CA

San Jose, CA

9d ago

$55 - $69/hr Contract Big Data Data Analysis Data Engineer

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Job Description

Adobe is seeking a Data Engineer 1 for a contract engagement via NextDeavor, located in San Jose, CA (onsite). The position focuses on designing and maintaining scalable data solutions that support growth monetization efforts and help drive product and marketing outcomes, with a strong emphasis on pipelines, SQL performance, and reliable ETL/ELT workflows.

Key Responsibilities

Design, build, optimize, and maintain scalable data pipelines for growth monetization initiatives
Write and optimize complex SQL queries to analyze A/B experiment results
Develop and enhance ETL/ELT workflows for large-scale structured and unstructured datasets
Optimize pipeline performance, reliability, scalability, and data quality across distributed systems
Apply Big Data technologies and best practices to process high-volume datasets efficiently
Build automated monitoring, alerting, and validation frameworks to support pipeline health and data integrity
Partner with Data Science, Product, Marketing, and Engineering teams to deliver actionable insights and scalable data solutions

Required Qualifications

Strong SQL expertise with the ability to write and optimize complex queries on large datasets
Hands-on experience with Big Data technologies such as Hadoop, Hive, Spark, or similar distributed processing frameworks
Experience building and optimizing scalable data pipelines in cloud and enterprise environments
Proficiency in ETL orchestration and workflow management tools
Experience with data quality, pipeline monitoring, and performance tuning
Ability to collaborate effectively with technical and non-technical stakeholders in a fast-paced environment
Minimum 5 years of experience required

Technology Stack

SQL
A/B experiment results
ETL, ELT
Hadoop, Hive, Spark
Distributed processing frameworks
Distributed systems

Contract Details and Pay

Job Type: Contract

Pay Range: USD 55 - 69 per hourly

Pay Range (listed): $55.21 - $69.01/hour

Benefits

Health, vision and dental benefits for contract employees
Paid sick leave eligibility is contingent on state of residence
Optional 401k Plan (excludes employer match)
401(k)
Dental insurance
Health insurance
Vision insurance
Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment

How to Apply

This role may fill quickly. Submit your resume to be considered.

Work Location

Work Location: In person

Location: San Jose, CA (onsite)

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10d ago

Site Reliability Data Engineer

Leidos San Diego, CA

San Diego, CA

10d ago

$87k - $157k/yr Full time Ansible Business Intelligence Cloud Infrastructure

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Job Description

Leidos is seeking a Site Reliability Data Engineer to support the SMIT program for the Navy. The role focuses on building and operating secure enterprise data solutions along with automated testing frameworks that validate resilience, performance, and failure scenarios. You will work across hybrid cloud and on-premises environments and help meet SLOs for mission-critical services.

What you’ll do

Design, develop, test, deploy, and maintain scalable ETL/ELT pipelines that collect, transform, validate, and deliver structured and unstructured data from enterprise systems, applications, APIs, logs, files, and databases.
Build and optimize data models, schemas, tables, views, and curated datasets to support analytics, business intelligence, operational reporting, and downstream application needs.
Develop data-processing solutions using SQL, Python, and other approved technologies, applying reusable engineering patterns, source control, peer review, and documented release practices.
Integrate cloud and on-premises data platforms while supporting secure data movement, interoperability, availability, retention, and performance across hybrid enterprise environments.
Implement automated data-quality checks, reconciliation controls, monitoring, alerting, and exception handling to identify incomplete, inaccurate, duplicated, delayed, or failed data flows.
Troubleshoot pipeline failures, data discrepancies, performance degradation, access issues, and integration defects, performing root-cause analysis and corrective and preventive actions.
Collaborate with analysts, business intelligence developers, data owners, system administrators, and mission stakeholders to define data requirements, source-to-target mappings, transformation rules, service expectations, and acceptance criteria.
Apply data governance, security, privacy, least-privilege access, auditability, and records-retention requirements across the data lifecycle in coordination with cybersecurity and compliance teams.
Support platform upgrades, data migrations, modernization efforts, capacity planning, and performance tuning while minimizing disruption to production services.
Create and maintain technical documentation, including architecture diagrams, data dictionaries, lineage documentation, interface specifications, runbooks, standard operating procedures, and troubleshooting guides.
Participate in Agile planning, backlog refinement, technical reviews, demonstrations, incident response, and after-hours support when required to sustain mission-critical services.
Develop and execute tests focused on system resilience, performance underload, and failure scenarios.
Work with other Site Reliability Engineers and development teams to create automated testing frameworks that simulate real-world conditions and validate system behavior under normal and stress conditions to ensure resilient services and alignment with established SLOs.
Support the operations and maintenance of the enterprise network.

Required qualifications

B.S. Degree and 4–8 years of prior relevant experience, or Master’s with 2–6 years of prior relevant experience in data engineering, computer science, information systems, software engineering, mathematics, or a related technical discipline (at least four years of relevant experience; additional directly related experience may be considered in place of a degree).
U.S. citizenship and an active DoD Secret Security Clearance.
Must possess and maintain an IAT Level II certification that satisfies applicable DoD cybersecurity workforce requirements.
Must be located in (or able to work onsite at Navy Base as required) San Diego, California; the Hampton Roads, Virginia area; or Jacksonville, FL.
At least three years of hands-on experience developing, operating, or supporting production data pipelines, data integrations, data warehouses, data lakes, or comparable enterprise data solutions.
Proficiency with SQL and at least one general-purpose scripting/programming language such as Python for data extraction, transformation, validation, automation, and troubleshooting.
Experience with ETL/ELT, relational data structures, data modeling, schema design, source-to-target mapping, data quality, metadata, and lifecycle management.
Experience integrating data from multiple source types including relational databases, APIs, flat files, application data, system logs, or message-based interfaces.
Working knowledge of cloud and on-premises infrastructure concepts including authentication and authorization, network connectivity, encryption, secure file transfer, and service accounts as they relate to data engineering.
Ability to diagnose production data issues, analyze logs and metrics, resolve failed jobs or performance problems, and document root cause and corrective action.
Capability to work independently and collaboratively in a high-tempo operational environment, manage competing priorities, communicate clearly, and produce complete technical documentation.
Working knowledge of PowerShell, Python, and Ansible, with practical familiarity using LLMs and AI-enabled tools.

Technologies

SQL, Python, PowerShell, Ansible, LLMs, AI-enabled tools, ETL, ELT, Agile/DevOps

Benefits

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

Nice to have

Business intelligence experience including dashboards, reports, semantic models, KPIs, and self-service analytics solutions, with Microsoft Power BI and DAX knowledge highly desirable.
Microsoft Certified: Azure Administrator Associate (AZ-104).
Hands-on experience with Azure data and analytics services such as Azure Data Factory, Azure SQL, Azure Storage, Synapse Analytics, Databricks, or comparable cloud data platforms.
Familiarity with STIGs, RMF, vulnerability management, system hardening, security controls, and applicable compliance frameworks.
Experience with automation, configuration-management, source-control, or CI/CD tools such as Ansible, Jenkins, and Bitbucket.
Experience designing or supporting data solutions in classified, DoD, federal government, or other highly regulated environments.
Experience with modern data-platform concepts including data lakes, lake houses, dimensional modeling, streaming or event-driven data, distributed processing, or containerized workloads.
Experience with data cataloging, lineage, master/reference data, role-based access controls, audit logging, backup/recovery, and disaster recovery practices.
Relevant technical certifications in Azure, data engineering, database administration, analytics, cloud architecture, or security.
Strong customer engagement, requirements analysis, technical presentation, mentoring, and cross-functional collaboration skills.
Experience with graph databases such as Neo4j and query languages such as Cypher, including property graph modeling.
Familiarity with knowledge graphs, ontologies, or semantic data models and controlled vocabularies.
Experience with entity resolution/record linkage and reconciling conflicting values across multiple authoritative sources into a single trusted record.

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10d ago

Machine Learning Engineer

Liquid XR Los Angeles, CA

Los Angeles, CA

10d ago

Full time Ai Ml Artificial Intelligence Data Pipeline

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Job Description

LiquidXR is seeking a Machine Learning Engineer to help build advanced models that turn multimodal time-series sensor data into meaningful signals. In this hybrid role based in Los Angeles, you will focus on robust real-time algorithms that perform reliably with noisy, high-frequency inputs.

The work spans modeling, training strategy, and practical deployment, from research-style experimentation through to production-grade inference under latency and compute constraints.

What you’ll do

Design and implement machine learning models for time-series and sequential data
Develop algorithms to extract structured signals and latent variables from noisy sensor inputs
Build and optimize real-time inference pipelines with latency and compute constraints
Apply multi-modal learning and sensor fusion techniques
Replace or augment classical signal processing pipelines with learned models
Design training strategies for windowed and streaming data
Design training strategies for weakly labeled or partially observed datasets
Design training strategies for multi-task learning setups
Evaluate models using both statistical metrics and application-driven performance criteria
Collaborate with cross-functional teams to take models from research to production
Explore architectures including Temporal Convolutional Networks (TCNs)
Explore architectures including RNNs, LSTMs, and GRUs
Explore architectures including Transformer-based sequence models

What you bring

Strong experience with machine learning for time-series data
Experience with transfer learning and knowledge distillation techniques
Proficiency in Python and PyTorch (or similar frameworks)
Solid understanding of signal processing fundamentals including filtering, noise, and the frequency domain
Experience working with real-world, noisy datasets
Experience building or deploying low-latency or real-time systems
Experience with sensor data such as IMUs
Familiarity with sensor fusion methods such as Kalman filters and probabilistic models
Experience with multi-modal or multi-task learning
Exposure to embedded or edge deployment constraints
Background in applied domains involving physical systems or human data
BSc or MSc in quantitative fields such as computer science, engineering, physics, or applied math
Ability to reason about temporal structure, causality, and latency
Strong intuition for modeling tradeoffs versus deployment constraints
Comfort working with imperfect, real-world data
End-to-end ownership from modeling through validation to deployment
Self-starter mindset with the ability to catch the vision and run with it
Clear communicator and effective collaborator with cross-functional teams
Ability to manage multiple priorities without sacrificing quality
Detail-oriented approach focused on high-quality and well-documented work
Ownership mindset with full accountability from concept to completion

Tools and technologies

Python
PyTorch
RNNs
LSTMs
GRUs
Transformer-based sequence models
Temporal convolutional networks (TCNs)
Kalman filters

Benefits

Employee stock option program
Health care benefits: currently, gold PPO coverage with Blue Shield, plus dental and vision, starting within 30 days of employment
Open PTO company

Location: Los Angeles, CA (hybrid). Employment: Full-time employee position, working remotely or in the Los Angeles office. Compensation: Commensurate with experience and competitive with the market. Travel: Occasional domestic and international travel may be required.

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10d ago

Machine Learning Engineer

Hyperbound San Francisco, CA

San Francisco, CA

10d ago

$260k - $300k/yr Full time Artificial Intelligence Engineer Machine Learning

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Job Description

Own machine learning models end to end, from training and fine-tuning through deployment and ongoing production performance.

Responsibilities

Take ownership of models end to end, spanning training through production
Fine-tune and run open source models in production
Push models on-device when a customer’s latency or privacy requirements call for it
Build evaluation frameworks, benchmarks, and regression suites to confirm whether changes improve outcomes
Build and ship the models that power Hyperbound’s roleplay, scoring, and coaching products
Own the full lifecycle for getting models into production and keeping them working once deployed
Fine-tune and deploy open source models where they provide more control over cost, latency, or what the model can do
Work closely with the founders and engineering, with meaningful input into what you build next

Requirements

No additional requirements were provided in the structured data

On-site / Work Style

Office-based role in San Francisco, CA (onsite)
In the office five days a week
Most day-to-day time focuses on fine-tuning and running open source models in production

What We’re Building

Hyperbound is the Revenue Activation Platform, an agentic operating system for sales
Focus is on changing what happens next, not only recording what happened on a call
Transforms real selling behavior into targeted roleplays, coaching, and workflow changes
Aims to improve reps without adding management overhead

Ownership and Equity

Full ownership of the model lifecycle: training, evaluation, deployment, and ongoing post-deployment work
Meaningful equity with real secondary opportunities

Compensation

USD 260,000 - 300,000 per year based on experience
Comes with meaningful equity

Benefits

Medical, dental, vision
401k
Commuter and parking benefits
Unlimited PTO
Free lunch and dinner in the office

Interview Process

Intro call
Technical conversation with the team you would work with
Final conversation with the founders
Fast timeline: 1-2 weeks from first conversation to offer

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11d ago

Zoho Developer

Pinky's Iron Doors Vernon, CA

Vernon, CA

11d ago

$28 - $38/hr Full time Backend Developer Marketing Accounting Software

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Job Description

PINKYS (Pinky's Iron Doors) is hiring a Zoho Developer to own and modernize our Zoho Books and Zoho Inventory workflows onsite in Vernon, CA (in person). This role configures the end-to-end procurement and inventory process, builds automations and integrations, and creates reporting that leadership can rely on for real-time purchasing, inventory value, and vendor/customer transaction history.

What you’ll work on

Own the end-to-end configuration of Zoho Books and Zoho Inventory, including Chart of Accounts, Items, Estimates, Purchase Orders, Sales Orders, Bills, Invoices, Purchase Receives, Credit Notes, and Payments.
Design and maintain multi-warehouse/location inventory tracking, including inter-warehouse transfers and accurate stock-on-hand across locations.
Set up and maintain serial and batch tracking for applicable item lines.
Configure landed cost allocation for freight, duties, and shipment-related charges, ensuring costs are attributed back to the items and orders that triggered them.
Manage backorders, drop shipments, and sales returns while keeping inventory and financial records reconciled.
Configure Transaction Approval workflows for Purchase Orders and Bills, including role-based and segmented access control for the right visibility and controls.
Ensure clean linkage across the full document chain using native linking fields, including PO → Purchase Receive → Bill → Payment and SO → Invoice → Payment.
Build Deluge-based custom functions, workflow rules, and validation rules to automate procurement and inventory processes.
Integrate Books/Inventory with adjacent systems such as Zoho CRM, Zoho Analytics, Shopify, and similar tools where data needs to flow across platforms.
Proactively identify and fix data-integrity issues like mismatched item types between sales and purchase use, inconsistent numbering conventions, and broken document links.
Create reporting and dashboards using native Books/Inventory reports and/or Zoho Analytics for accurate, near real-time operational visibility.
Document system configuration, custom logic, and standard operating procedures so knowledge stays documented.
Train internal staff on correct day-to-day use of Books/Inventory workflows (creating POs, processing returns, receiving inventory, and related tasks).
Provide bug fixing support for Zoho Flow workflow actions, including debugging experience.

What we need from you

Demonstrated, hands-on experience setting up a complete Zoho Books and/or Zoho Inventory system from the ground up (able to discuss a real system you built or owned).
Deep working knowledge of core Books/Inventory concepts and how they interrelate, including Estimates, Purchase Orders, Sales Orders, Bills, Invoices, Purchase Receives, Credit Notes, and Payments.
Real experience configuring and troubleshooting multi-warehouse management, serial/batch tracking, landed cost allocation, and backorder/drop-shipment workflows.
Comfort with Deluge for custom functions, workflow rules, and validation rules; SQL, JavaScript, or REST API experience is a plus.
Understanding of role-based permissions and segmented access control in Zoho, with the ability to design access models for different teams.
Experience integrating Books/Inventory with other systems (CRM, e-commerce, analytics) via native connectors or APIs.
Strong analytical and troubleshooting mindset, able to trace discrepancies through the full document chain to locate the root cause.
Strong organizational and communication skills to translate operational needs into clean system design.
3+ years of relevant Zoho project/implementation experience.
Computer science degree preferred.
Must speak English well to communicate with the team.

Tools you’ll use

Zoho Books, Zoho Inventory, Deluge, Zoho CRM, Zoho Analytics, Shopify, Zoho Flow, SQL, JavaScript, REST API.

Benefits

401(k)
Dental insurance
Health insurance
Paid time off
Vision insurance
Employee discount

Role details

Location: Vernon, Los Angeles, California (onsite / in person)
Employment type: Full Time
Pay: USD 28.00 - 38.00 per hour
Expected hours: 43.0 per week

Nice to have

AI prompt engineering degree or experience
REST API experience
Agile environment and SCRUM experience

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14d ago

Data Engineer

UST Austin, TX

Austin, TX

14d ago

$72k - $108k/yr Full time Data Engineer Data Engineering ETL

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Job Description

UST is hiring a Data Engineer to support project/program execution with documentation, cross-functional coordination, and stakeholder communication.

Responsibilities

Collaborate with other staff to maximize productivity for the project or program.
Document phases of project/program/process development and ensure required information is reported, disseminated, or transferred to relevant functional areas.
Lead regular program reviews, readiness assessments, and risk management discussions.
Provide stakeholder updates across organizational levels, including program status, risks, mitigation plans, and executive-level reporting.
Engage with driving BOM uploads and CP request workflows.
Launch the schedule CRF (change request form) and update PUSH/DROP when applicable.
Manage and track system ship dates and update the system push payout tracker accordingly.
Close CRFs when project managers are the last approvers.
Issue delivery notes for completed projects.
Complete paperwork refreshes for systems in FGI that are approaching their ship date.
Establish and coordinate cross-functional teams with Manufacturing Engineering, Supply Chain, Test Engineering, Quality, Product Engineering, Operations, and Program Management.

Requirements

Bachelor’s degree (preferred).
Years of experience: 0-4.
Project management (required).
Administrator/project management (desired).
Microsoft Office skills (required).
Data Analytics (desired).
Excellent written and verbal communication (required).

Technologies

PySpark
Streaming
Scala
ETL

Role location

Austin, Texas
Onsite

Compensation range

USD 72,000 - 108,000 per year

Benefits

Full-time, regular employees accrue a minimum of 10 days paid vacation per year.
Full-time, regular employees receive 6 days paid sick leave each year (pro-rated for new hires throughout the year).
10 paid holidays.
Eligible for paid bereavement leave and jury duty.
401(k) Retirement Plan eligibility with employer matching.
Medical, dental, and vision insurance (US dependents eligible if residing in the US).
Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits.
Eligible to purchase additional voluntary short-term disability benefits.
Eligible to participate in a Health Savings Account (HSA) and Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses (as allowable under IRS guidelines).
Full-time temporary employees: 6 days paid sick leave each year (pro-rated) and eligible for the 401(k) program with employer matching.
Part-time employees: 6 days paid sick leave each year (pro-rated) and eligible for the 401(k) Retirement Plan with employer matching.
Part-time temporary employees: 6 days paid sick leave each year (pro-rated).
US employees working in locations with more generous paid sick leave laws will receive benefits per applicable laws.

What you need

Bachelor’s degree (preferred).
Years of experience: 0-4.
Technical skills: Project management (required); Administrator/project management (desired).
Computer skills: Microsoft Office skills (required); Data Analytics (desired).
Soft skills: Excellent written and verbal communication skills (required).

What we believe

Humility, Humanity, and Integrity.
Culture shaped since day one.

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14d ago

Data Engineer III, Cloud

Mobis Parts America, LLC. Fountain Valley, CA

Fountain Valley, CA

14d ago

$90k - $134k/yr Full time Analytics Azure Azure Data Factory

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Job Description

Mobis Parts America, LLC. is hiring a Cloud Data Engineer III (onsite in Fountain Valley, CA) to design, implement, and secure Azure-based data platforms that support enterprise reporting, analytics, and business intelligence. This role focuses on building reliable, scalable data pipelines, storage, and processing frameworks, with close collaboration across business analysts, Power BI developers, DBAs, and infrastructure teams.

Why this role

Compensation: $90,466.10 - $134,342.16 annual salary range, based on experience and qualifications
Benefits: Medical, Dental, and Vision; 401K with employer matching; Tuition Reimbursement
Time off: Paid Vacation, Paid Sick Days, and Paid Holidays
Growth support: Mapped career plans
Flexibility: Monday to Friday 8:00 AM - 5:00 PM with possible flexible scheduling at the manager’s discretion and approval
Onsite, no travel: No travel required

What you’ll do

Design, develop, and maintain ETL/ELT pipelines
Build automated batch and near real-time data integration processes
Integrate data from on-premises and cloud systems
Troubleshoot and optimize data workflows for performance and reliability
Design and maintain data warehouse and data lake architectures
Develop logical and physical data models
Optimize database schemas, indexes, and partitioning strategies
Support historical data retention and archival requirements
Manage and support Azure platform components including:
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS), including ADLS Gen2
- Azure SQL Database and Azure PostgreSQL
- Azure ExpressRoute
- Gateway Servers
- Azure Virtual Networks
Configure networking, security groups, and access controls
Handle monitoring, maintenance, backup and recovery, and operational support
Support High Availability (HA) and disaster recovery, including replication and failover configuration
Develop scripts and automation for operational tasks and assist with CI/CD deployment processes
Automate monitoring, alerting, and maintenance activities; monitor platform availability and performance
Resolve production incidents, identify root causes, and maintain SLA and operational standards
Provide technical support to business and development teams

What you bring

4 to 7 years of data engineering experience (Required)
3 to 5 years of Azure cloud experience (Preferred)
Experience with Power BI environments
Experience migrating on-premises systems to Azure
Bachelor’s Degree in Computer Science, Information Systems, or a related field (Required)
Experience with: Azure Data Factory (ADF), Azure Data Lake Storage Gen2, Azure SQL Database, Azure Database for PostgreSQL, Azure ExpressRoute, Azure Virtual Networks
Core skills: SQL, data modeling, ETL/ELT, data warehousing, Star Schema and dimensional modeling
Scripting and query languages: Python, PowerShell, SQL T-SQL, PostgreSQL

Schedule, employment type, and demands

Employment type: Exempt, annual salary
Schedule: Monday - Friday, 8:00 AM - 5:00 PM; flexible schedule at manager discretion/approval
Travel: No travel required
Physical demands: Rarely, Occasionally, Frequently, and Constantly listed (with X marked for standing, walking, sitting, and various movements)