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Remote Data Conversion Developer Jobs in Santa Clara, CA

Data Scientist, Subscription Analytics

Cupertino, CA ยท On-site +1

$144K - $263K/yr

... conversion optimization. Description This role focuses on subscription analytics and initiatives to drive growth. Here, you will partner closely with Product, Business, Data Engineering and ...

Data Platform Engineer

Santa Cruz, CA ยท Remote

$117K - $140K/yr

As a Data Platform Engineer , you will play a critical role in designing, building, and delivering ... Remote (USA) or hybrid (Santa Cruz County, CA) Compensation: The estimated base salary range for ...

Data Scientist

Pleasanton, CA ยท Remote

$75 - $80/hr

Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve, accelerate, and automate asset inspections processes Strong Python programing Department Overview The Data ...

Data Infrastructure Architect

Mountain View, CA ยท On-site +1

$75.25 - $96.75/hr

Experience as an application developer for projects similar in scope and responsibility. * Advanced ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Data Infrastructure Architect

Mountain View, CA ยท Remote

$65.25 - $84/hr

Experience as an application developer for projects similar in scope and responsibility. * Advanced ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Data Architect, Next Platform

Redwood City, CA ยท On-site +1

$150K - $200K/yr

Educate engineering and clinical teams on data modeling standards, governance, and best practices ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

DevOps Engineer

Redwood City, CA ยท Remote

$140K - $170K/yr

Support Databricks asset bundle (DABs) deployments and contribute to data platform reliability ... Northern California (local) / Remote All candidate must be located in the United States to be ...

DevOps Engineer

Redwood City, CA ยท Remote

$140K - $170K/yr

Support Databricks asset bundle (DABs) deployments and contribute to data platform reliability ... Northern California (local) / Remote All candidate must be located in the United States to be ...

Showing results 21-40

Remote Data Conversion Developer information

See Santa Clara, CA salary details

$12.9K

$129.2K

$163.8K

How much do remote data conversion developer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data conversion developer in Santa Clara, CA is $129,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $158,500.00 per year, depending on experience, location, and employer.

What is a remote data conversion developer?

A Remote Data Conversion Developer is a professional who specializes in transforming data from one format or system to another, often working from a remote location. Their main responsibilities include analyzing existing data structures, designing conversion processes, writing scripts or software to automate data migration, and ensuring data integrity during the conversion. They typically work with databases, data warehouses, or legacy systems to facilitate seamless data transitions during system upgrades or platform changes. Strong skills in programming, data analysis, and problem-solving are essential for this role.

What are the key skills and qualifications needed to thrive as a remote data conversion developer?

To thrive as a Remote Data Conversion Developer, you need strong programming skills (often in SQL, Python, or ETL tools), data mapping expertise, and an understanding of database structures, typically backed by a degree in computer science or related experience. Familiarity with data conversion platforms such as Informatica, Talend, or SSIS, and certifications in relevant tools or cloud services, are commonly required. Excellent problem-solving, attention to detail, and effective communication are crucial soft skills for collaborating remotely and managing complex data processes. These skills ensure accurate, efficient data transformations and seamless integration across diverse systems in a distributed work environment.

What are some common challenges faced by remote data conversion developers when working with legacy data systems?

Remote Data Conversion Developers often encounter challenges such as inconsistent data formats, incomplete or corrupted datasets, and undocumented legacy systems. Successfully converting and migrating data requires problem-solving skills to map and validate data accurately, as well as strong communication with business analysts and system owners to clarify requirements and resolve ambiguities. Additionally, thorough testing and quality assurance are essential to ensure data integrity throughout the conversion process.

What is the difference between Remote Data Conversion Developer vs Data Analyst?

AspectRemote Data Conversion DeveloperData Analyst
Required CredentialsTypically requires programming skills, data conversion tools, and sometimes certifications in data managementRequires analytical skills, proficiency in data visualization, and often a degree in statistics or related fields
Work EnvironmentPrimarily technical, focused on data transformation, ETL processes, and scriptingAnalytical, focused on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in IT, data management, and software development sectorsCommon in finance, marketing, healthcare, and business intelligence sectors

The main difference is that Remote Data Conversion Developers focus on transforming and converting data using technical skills, while Data Analysts interpret and analyze data to support decision-making. Both roles may work remotely and require familiarity with data tools, but their core responsibilities differ significantly.

What are popular job titles related to Remote Data Conversion Developer jobs in Santa Clara, CA?

For Remote Data Conversion Developer jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Conversion Developer jobs in Santa Clara, CA look for?

The top searched job categories for Remote Data Conversion Developer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Data Conversion Developer jobs?

Cities near Santa Clara, CA with the most Remote Data Conversion Developer job openings:

Infographic showing various Remote Data Conversion Developer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,188 per year, or $62.1 per hour.

Full Stack Data Engineer : 26-02060

Akraya Inc.

Santa Clara, CA โ€ข On-site, Remote

$80 - $85/hr

Temporary

Re-posted 3 days ago


Job description


Primary Skills: Data Engineering (Expert), Python (Expert), Google Cloud Platform - BigQuery & Vertex AI (Advanced), Machine Learning & AI (Advanced), SQL (Expert)
Contract Type: W2 Only
Duration: 9+ Months
Location: Remote (Anywhere in the U.S.)
Pay Range: $80 - $85 on W2
Job Summary:
We are seeking a Staff Data Engineer, Full Stack to design and build scalable data platforms while driving AI/ML initiatives that deliver actionable business insights. This hybrid Data Engineering and Data Science role requires expertise in data pipelines, cloud-based analytics, machine learning, and generative AI to develop robust analytical datasets, deploy production-grade ML models, and enable customer analytics solutions across the enterprise.
Key Responsibilities:
  • Design, develop, and maintain scalable data architectures and analytical datasets for reporting, business intelligence, and machine learning.
  • Build and optimize batch and real-time data pipelines using cloud-native technologies.
  • Develop, deploy, and monitor machine learning models for customer analytics, churn prediction, marketing attribution, and business optimization.
  • Design feature engineering pipelines and support end-to-end AI/ML model lifecycle from development through production.
  • Implement AI-powered solutions and optimize Generative AI/LLM-based applications and AI agents.
  • Partner with Product, GTM, Customer Success, Finance, and Engineering teams to translate business challenges into data-driven solutions.
  • Develop dashboards and visualizations using Tableau, Looker, or similar BI tools.
  • Perform code reviews, improve engineering best practices, and support scalable, secure cloud-based data platforms.
Must-have Skills:
  • 8+ years of experience in Data Engineering, Data Science, or Analytics Engineering.
  • Expert-level programming skills in Python and advanced SQL.
  • Strong experience designing and maintaining scalable data pipelines for analytics and machine learning.
  • Experience implementing Big Data solutions for batch and real-time processing.
  • Hands-on experience with Google Cloud Platform (GCP), including BigQuery and Vertex AI.
  • Experience building optimized analytical datasets for reporting, feature engineering, and business intelligence.
  • Experience developing dashboards using Tableau, Looker, or similar visualization platforms.
  • Strong knowledge of cloud data architecture, ETL/ELT frameworks, and data modeling.
  • Excellent analytical, problem-solving, and stakeholder communication skills.
Nice-to-have Skills:
  • Experience with Generative AI, LLMs, LangChain, LlamaIndex, or Hugging Face frameworks.
  • Experience evaluating and optimizing AI agents and conversational AI systems.
  • Knowledge of causal inference, time-series forecasting, and advanced statistical modeling.
  • Experience implementing data security, governance, and role-based access controls.
  • Background in Customer Analytics, Customer Success, Marketing Analytics, or Professional Services.
  • Experience with streaming technologies and modern data orchestration frameworks.
Preferred Qualifications:
  • MS or PhD in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.
  • Proven experience delivering end-to-end AI/ML solutions in cloud environments.
  • Experience working in Agile environments with modern software engineering and DevOps practices.
  • Strong ability to lead technical initiatives, work independently, and drive projects from concept through production deployment.

ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001