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Remote Data Sync Jobs (NOW HIRING)

Ditto

$185K - $227K/yr

Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ensures devices stay connected and data stays consistent, even without internet. With more than $145 ...

Ditto

$223K - $305K/yr

Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ensures devices stay connected and data stays consistent, even without internet. With more than $145 ...

Chesapeake

SAP EAM Technical Lead

$57.69 - $96.15/hr

Spatial Data Sync and Alignment Where you'll be working... * Hybrid Remote with periodic travel to Newark, DE (typically ~2 weeks per month, may fluctuate due to business needs) Who you are:

MelodyArc, Inc.

Software Development Engineer 3 (SDE 3)

$150K - $200K/yr

... data sync, and auditability). - Experience with customer service operations and/or customer support platforms and workflows. Location Remote (United States). Compensation Base salary range: $150,000 ...

MelodyArc, Inc.

Forward Deployed Engineer

... data sync, auditability). • Domain experience in customer service operations, supply chain, or ... Location Remote (United States). Some travel to customer sites may be required.

New

Nasuni

Senior Enterprise Business Systems Engineer

$109K - $136K/yr

Experience with REST APIs, event-driven integrations, webhooks, auth protocols, and data sync ... Flexible remote work policy * 10 Paid Holidays * Wide array of wellbeing offerings * Pre-tax ...

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 ...

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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.

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Remote Data Sync jobs near you
Infographic showing various Remote Data Sync job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% Remote job distribution.

Technical Lead - MongoDB Migration Expert

Apex Informatics

Remote

$55/hr

Full-time

Re-posted 12 days ago

Job description

Position: Technical Lead - MongoDB Migration Expert
Location: Remote
Duration: Contract
Rate: $55 per hour W2
Note:
  • Please share only those profiles whose LinkedIn was created before 2021

Manager Notes:
  • This is not a hands-on developer role. This person will be overseeing the entire project, setting things up, working with MongoDB Professional Services. Need a true LEAD/EXPERT!
  • Looking for a MongoDB EXPERT
  • Lead MAJOR Migration from Marklogic to MongoDB
  • Large Database Migration experience in NOSQL environment is a must (MongoDB EXPERT and Migration are the 2 main things)
  • Must know all the technical details of MongoDB inside and out.
  • Marklogic Experience - Nice to Have
  • MongoDB Experience - MUST. Need to know how to configure it and make it efficient
  • Experience with Front End applications that can read Mongo DB - NICE TO HAVE
  • Experience with Microservices in AWS to MongoDB - MUST HAVE
  • AWS GLUE, AWS Data Sync - MUST HAVE
  • AI Experience - NICE TO HAVE
  • Pyspark, JavaScript, Springboot - MUST HAVE
  • MongoDB Atlas - MUST HAVE

Job Description:
MongoDB Expertise:
  • Data Modeling and Schema Design: Understanding MongoDB's flexible schema model and how to design appropriate document structures (embedded and normalized models) for optimal performance and scalability. Knowledge of healthcare data (members, providers, and claims) is most desired
  • Querying and Aggregation: Proficiency in MongoDB Query Language (MQL) and the Aggregation Framework for efficient data retrieval and transformation.
  • Indexing: Knowledge of different index types and how to optimize indexes for improved query performance.
  • Replication and Sharding: Understanding of MongoDB's high availability and scalability features, including replica sets and sharding.
  • MongoDB Tools: Familiarity with MongoDB tools like Compass, Atlas, and native tools (mongodump, mongorestore) with a particular emphasis on Atlas.
  • Relational Database Knowledge: Understanding of relational database systems (SQL, schema design, etc.) is crucial for migrating from traditional databases to MongoDB.
  • ETL Processes: Expertise in Extract, Transform, Load (ETL) processes and tools.
  • Data Quality and Validation: Implementing data quality rules, validation techniques, and ensuring data consistency during migration.
  • Programming and Scripting: Proficiency in languages like Python , JavaScript, Springboot for migration scripts and automation. Experienced in development using Microservices Architecture and Springboot frameworks.
  • Cloud Technologies: Expert Knowledge in any of these cloud platforms (AWS, Google Cloud) and cloud migration strategies
  • Data Security: Implementing security best practices, including authentication and encryption. Knowledge of the options to secure data within a healthcare organization (PHI, PII, and PCI)
  • Mark Logic: Good understanding of Mark Logic database and Xquery language is desirable
  • Kafka: Strong understanding of Kafka Design patterns is nice to have

Soft Skills:
  • Problem-Solving: Analytical thinking and the ability to diagnose and resolve technical challenges.
  • Communication: Clearly communicating complex technical concepts to technical and non-technical stakeholders, creating documentation, and coordinating with different teams.
  • Leadership: Demonstrates accountability and leadership in driving the program targets and influences the team /stakeholders towards the target

Apply