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Remote Data Sync Jobs in California (NOW HIRING)

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

... and resolve data sync failures, authentication issues, and schema changes Key Integrations ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

... and resolve data sync failures, authentication issues, and schema changes Key Integrations ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

US Tech Solutions

Technical Program Manager

Santa Clara, CA · On-site +1

$151K - $196K/yr

Work with remote teams (internal and external) to sync up on status, issues, risks, changes, and ... data sources related to initiation and planning phases; Prepare scope of work (SOW) and other ...

Current Home

SalesForce Administrator

Temecula, CA · Remote

Remote (US) Type: Full-time About the job Description Current Home runs on Salesforce. It's where ... Zapier plus the systems that sync with Salesforce (Five9, SalesRabbit, Aurora Solar, LeadConduit ...

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Remote Data Sync information

What are the key skills and qualifications needed to thrive as a remote data sync specialist, and why are they important?

To thrive as a Remote Data Sync Specialist, you need a solid understanding of data management, synchronization protocols, and database systems, often supported by a degree in computer science or information technology. Familiarity with tools such as SQL, cloud platforms (like AWS or Azure), and data integration software is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for this role. These skills ensure accurate, secure, and efficient synchronization of data across distributed systems, which is critical for business continuity and decision-making.

What are some common challenges faced by remote data sync professionals, and how can they be addressed?

Remote Data Sync professionals often encounter challenges such as network latency, data conflicts, and ensuring data consistency across distributed systems. To address these issues, it's important to implement robust error handling, use reliable synchronization protocols, and regularly communicate with development and IT teams to coordinate updates. Staying proactive about monitoring data sync processes and leveraging automation tools can also help minimize disruptions and improve efficiency.

What is remote data sync?

Remote Data Sync refers to the process of synchronizing data between devices, systems, or servers that are located in different physical locations. This ensures that the latest data is available across all connected platforms, regardless of where they are accessed. It is commonly used in cloud computing, mobile applications, and distributed systems to maintain data consistency and accessibility. Remote Data Sync can be performed in real-time or at scheduled intervals, depending on the requirements and technologies used.

What is the difference between Remote Data Sync vs Data Analyst?

AspectRemote Data SyncData Analyst
Required CredentialsTypically requires data management certifications, SQL, and cloud platform knowledgeRequires degrees in statistics, mathematics, or related fields, along with data analysis skills
Work EnvironmentPrimarily remote, working with cloud-based tools and data platformsOften remote or on-site, using analytical software and reporting tools
Industry UsageUsed in data integration, synchronization, and cloud data management rolesUsed in data interpretation, reporting, and business insights roles

Remote Data Sync focuses on maintaining and managing data consistency across systems, often requiring technical certifications and cloud platform expertise. Data Analysts interpret data to provide insights, typically with a background in statistics or analytics. While both roles work with data, Remote Data Sync emphasizes data integration and synchronization, whereas Data Analysts focus on analysis and reporting.

What are the most commonly searched types of Data Sync jobs in California?

The most popular types of Data Sync jobs in California are:

What are popular job titles related to Remote Data Sync jobs in California?

For Remote Data Sync jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Data Sync jobs in California look for?

The top searched job categories for Remote Data Sync jobs in California are:

What cities in California are hiring for Remote Data Sync jobs?

Cities in California with the most Remote Data Sync job openings:

Remote Data Sync jobs near you

Software Engineer, Distributed Systems (Core)

Career Renew

Los Angeles, CA • Remote

$180K - $320K/yr

Full-time

Re-posted 24 days ago

Job description

Career Renew is recruiting for one of its clients a Software Engineer, Distributed Systems (Core) - this is a fully remote role for US/Canada candidates. Salary range: 180-320K USD yearly plus benefits plus equity. Visa sponsorship available.

Our mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust us to power their growth.


We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further, allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With us, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.


We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.


Some of the problems we’ll be working on include:

  • Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly

  • Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues

  • Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth

  • Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with <30ms p90 response times with QPS in the millions

  • Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch our platform in new regions to support data residency requirements of our global customer base

Requirements:
7+ years of experience as a software engineer with a very high level of general aptitude and work in distributed systems (Mandatory)
Have been part of high velocity startup through high stages of growth, Series B - Series E (i.e Stripe, Kong, Semgrep) (Mandatory)
Staff level minimum with a history of getting promoted quickly at the listed companies. (Mandatory)
Have graduated from a top 30 CS program such as: University of Waterloo, Harvard, Columbia, Princeton, Stanford, UC Berkeley, MIT, CMU, CalTech, Cornell, Duke, Dartmouth, Brown, IITs (Mandatory)
Extremely strong in systems design fundamentals and understanding of how large scale distributed systems behave (Mandatory)
You’ve created event collection or data streaming services that power company critical systems ( work with message queues, Kafka, SQL databases, Kubernetes, Docker) (Mandatory)
You’ve owned systems that have undergone orders of magnitude of growth and helped them scale accordingly (Mandatory)
You’ve built data sync engines that process and move terabytes of data per day in a scalable way (Nice-to-have)
Work close to the infrastructure layer of code, someone who knows how even the tools (i.e. spark, flink, kafka) are built (Nice-to-have)
Extremely strong communication skills, and are a fast learner who is excited to take on the challenges we face (Mandatory)