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Remote Data Manager Jobs in Frisco, TX (NOW HIRING)

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary ... Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable ...

Description VAST Data is looking for a Customer Success Manager to join our growing team! This is a ... We're a growing global team and a fully remote company. * Highly organized. We track everything in ...

Data Analyst

Dallas, TX ยท Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a ... Data Collection and Management: * Gather and organize large sets of structured and unstructured ...

Data Architect

Dallas, TX ยท On-site +1

$63 - $81/hr

These platforms manage massive collections of economic time-series data, historical revisions ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

... management with the ability to cope in a complex, changing environment About NTT DATA NTT DATA is a ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

... management with the ability to cope in a complex, changing environment About NTT DATA NTT DATA is a ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

... management with the ability to cope in a complex, changing environment About NTT DATA NTT DATA is a ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Showing results 41-60

Remote Data Manager information

See Frisco, TX salary details

$29K

$90.9K

$161K

How much do remote data manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote data manager in Frisco, TX is $90,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $117,500.00 per year, depending on experience, location, and employer.

What is a remote data manager?

A Remote Data Manager is a professional responsible for overseeing the collection, storage, organization, and analysis of data for an organization, while working from a location outside of a traditional office. They ensure data integrity, security, and compliance with relevant regulations. Their duties often include managing databases, setting data policies, and collaborating with teams to support data-driven decision making. Remote Data Managers use various digital tools to communicate and manage data remotely, making this role ideal for those seeking flexible work arrangements.

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

To thrive as a Remote Data Manager, you need a solid background in data management, database administration, and data analysis, typically supported by a degree in computer science or a related field. Expertise in tools such as SQL, data visualization platforms (e.g., Tableau or Power BI), and familiarity with data privacy regulations are commonly required, along with relevant certifications like CDMP or PMP. Strong organizational skills, attention to detail, and effective remote communication abilities set outstanding candidates apart. These skills ensure data integrity, facilitate collaboration across distributed teams, and drive data-driven decision-making within organizations.

What are some typical challenges faced by remote data managers when coordinating with cross-functional teams?

Remote Data Managers often need to collaborate with teams across different departments and time zones, which can make communication and project alignment challenging. They may face difficulties in ensuring data consistency, timely updates, and maintaining data security standards when team members are dispersed. Effective use of collaboration tools, clear documentation, and regular virtual meetings are essential to overcome these challenges and ensure smooth operations.

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

AspectRemote Data ManagerData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; experience with database managementBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization tools
Work EnvironmentRemote, often within IT or data teamsRemote or on-site, within business or research teams
Employer & Industry UsageTech companies, healthcare, finance, where data management is criticalMarketing, finance, consulting, analyzing data trends

Remote Data Managers focus on maintaining and organizing data systems, ensuring data integrity, and managing databases remotely. Data Analysts interpret data, generate reports, and provide insights. While both roles work with data, the Remote Data Manager handles data infrastructure, whereas Data Analysts focus on analyzing data to support decision-making.

What are popular job titles related to Remote Data Manager jobs in Frisco, TX?

For Remote Data Manager jobs in Frisco, TX, the most frequently searched job titles are:

What cities near Frisco, TX are hiring for Remote Data Manager jobs?

Cities near Frisco, TX with the most Remote Data Manager job openings:

Infographic showing various Remote Data Manager job openings in Frisco, TX as of August 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 100% Remote job distribution, with an average salary of $90,921 per year, or $43.7 per hour.

Senior Data Engineer - Remote

Vytwo

Prosper, TX โ€ข Remote

$55 - $60/hr

Full-time

Re-posted yesterday


Job description

Role: Senior Data Engineer
Remote Work
*Must be a US Citizen* & have a USA Passport
Primary Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads.
  • Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency
  • Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration
  • Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns
  • Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring
  • Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies
  • Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets
  • Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions
  • Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability
  • Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management
  • Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures
  • Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:

  • 7+ years of experience in data engineering, software engineering, or similar disciplines
  • Hands-on experience with Databricks or Snowflake
  • Experience with orchestration tools such as Apache Airflow
  • Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)
  • Advanced SQL skills and experience with OLTP and OLAP data modeling
  • Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns
  • Familiarity with data governance tools, especially Microsoft Purview
  • Solid programming expertise in Python, PySpark, or similar languages
  • If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment
  • Must be a US Citizen
Preferred Qualifications:

  • Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data
  • Experience with containerization (Docker, Kubernetes) for data workloads
  • Experience supporting machine learning workflows or analytical data science pipelines
  • Knowledge of distributed computing concepts and performance tuning

This is a remote position.