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Remote Data Conversion Developer Jobs in Santa Clara, CA

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

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

Data Platform Engineer

Santa Cruz, CA · 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 · 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 ...

Menlo Park, CA(Remote) Position Overview: We are looking for a forward thinking 10+ Years Data Architect, who is visionary to pioneer the engineering and orchestration of an enterprise-scale, Self ...

Data Infrastructure Architect

Mountain View, CA · 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 ...

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

Data Infrastructure Architect

Mountain View, CA · 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 ...

Data Scientist

Santa Clara, CA · On-site +1

$130K - $150K/yr

Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time The Opportunity Picarro ... You'll work closely with the data analytics, customer success, product, and engineering teams ...

Sr Data Analyst - Store Analytics

Dublin, CA · On-site +1

$96K - $122K/yr

... Data Engineering, and helps shape the evolution of the Store Insights capability. What You'll Do ... conversion, customer behavior, and operational performance, developing hypotheses and validating ...

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 ...

Showing results 41-60

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 Sep 15, 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.

Data Platform Engineer

Santa Cruz, CA • On-site, Remote

$132K - $158K/yr

Full-time

Re-posted 15 days ago


Job description

Applicants without hands-on Databricks or Microsoft Fabric pipeline experience will not be considered.


AtQuickLaunchAnalytics, we help organizations simplify the complex world of data. As aData Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful deployment and adoption.

This is a highly impactful, hybrid role that blends hands-on engineering with customer-facing consulting.You'llwork across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready data solutions that power enterprise analytics.

WhatYou'llDo

  • Design and deploy modern data platforms in Azure Databricks, including full environment setup (storage, compute, catalogs, security) and infrastructure optimization
  • Build scalable data pipelines and Lakehouse solutionsusing Python, SQL, and orchestration across Databricks and Microsoft Fabric
  • Lead customer implementations and technical delivery, supporting new deployments, upgrades, and escalation troubleshooting in Azure environments
  • Develop and manage ETL/ELT integrationsacross third-party tools and custom APIs, ensuring reliable, production-grade data workflows
  • Implement secure, high-performance data architectures, including Unity Catalog,OneLakesecurity, networking (VPNs, private endpoints), and cost optimization
  • Partner directly with customers as a technical advisor, translating business needs into data platform solutions and driving best practices across Databricks and Fabric

Who You Are

  • Strong hands-on experience withDatabricksand/or Fabric,Spark,Python, and SQL, with the ability to build and troubleshoot production-grade data pipelines
  • Solid foundation indatabase concepts and data modeling, with experience working across structured and semi-structured datasets
  • Experience withETL/ELT tools and data integration, including tools likeFivetranand building/customizingAPI-based data pipelines
  • Comfortable working incustomer-facing or consulting environments, supporting new implementations in Azure Databricks or Microsoft Fabric
  • Working knowledge ofidentity and access management concepts(e.g., Entra ID users, groups, and permissions)
  • Strong aptitude for diagnosing, isolating, and resolving complex technical issues efficiently
  • Ability to communicate effectively with both technical and non-technical customers and team members

Nice to Have

  • Experience usingAI and automation toolsto streamline workflows, including exposure toAI agents or intelligent automation frameworks
  • Experience configuring private endpoints in Azure, including networking setup and DNS configuration
  • Understanding of Power BI and Fabric licensing and how licensing mightimpactdeployment approach
  • Familiarity withLinux environmentsand cloud-based data ecosystems


Working Location: Remote(USA)or hybrid (Santa Cruz County, CA)


Compensation:The estimated base salary range for this role is $125,000-155,000. There is also an opportunity for a discretionary bonus.

About Us:

AtQuickLaunchAnalytics, our purpose is to simplify the often-complex world of data analytics. For over 20 years,we'vehelped 250+ companies make better decisions by delivering a unified platform for trusted, enterprise-wide data.

We'rea team of 35+ professionals with deepexpertisein Power BI, Databricks, and Azure Cloud. Our culture is built onownership, collaboration, and continuous learning, reflected in strong outcomes for both our customers and our team.

If you enjoy solving complex data challenges and want to work closely with customers to deliver real-world impact,we'dlove to hear from you.