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Remote Data Jobs in Denver, NC (NOW HIRING)

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main ...

Data Security Consultant

Charlotte, NC · On-site +1

$130K - $150K/yr

As a Data Security Consultant, you'll play a key role in shaping and maturing data security ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Security Consultant

Charlotte, NC · On-site +1

$130K - $150K/yr

As a Data Security Consultant, you'll play a key role in shaping and maturing data security ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Lead Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

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Remote Data information

See Denver, NC salary details

$42.5K

$152.6K

$225.2K

How much do remote data jobs pay per year?

As of Aug 1, 2026, the average yearly pay for remote data in Denver, NC is $152,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $157,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Denver, NC? The most popular types of Data jobs in Denver, NC are:
What job categories do people searching Remote Data jobs in Denver, NC look for? The top searched job categories for Remote Data jobs in Denver, NC are:
What cities near Denver, NC are hiring for Remote Data jobs? Cities near Denver, NC with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Denver, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $152,636 per year, or $73.4 per hour.

Senior Manager - Analytics Data Platform

Allstate

Concord, NC • On-site, Remote

Full-time

Re-posted 28 days ago


Allstate Insurance rating

7.5

Company rating: 7.5 out of 10

Based on 562 frontline employees who took The Breakroom Quiz

214th of 300 rated insurance


Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

Founded by The Allstate Corporation in 2016, Arity is a fully remote data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here-the dreamers, doers, and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents toward transforming transportation.
That's because at Arity, we believe work and life shouldn't be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don't just want you to see yourself here. We want you to be yourself here.
Arity Analytics Data Platform
Arity's Analytics Data Platform (ADP) team enables our analytics and data science teams to research, develop, deploy, and optimize analytics products that drive Arity's mission forward. The ADP team defines, provisions, and manages data pipelines, tools, platforms, and infrastructure to optimize analytics workflows and facilitate efficient collaboration with Arity's engineering teams to bring analytics products to production. We promote best practices for code and model management, reproducibility, scalability, and governance of the end-to-end analytics lifecycle. The team also plays a central role in the adoption and effective use of emerging AI-based development tools within the Arity Analytics community.

The Role:


You will lead a team of data and infrastructure engineers in the overall delivery of data solutions enabling advanced data science and analytics. This includes the development and management of cloud-based big data systems for ingesting, processing, and managing spatial-temporal and other types of data for analytics R&D; the implementation and operationalization of advanced data processing pipelines and AI solutions; identifying and integrating new data management and data analytics tools and ensuring best practices in their usage; and establishing and administering MLOps best practices in collaboration with Arity Engineering. The Senior Manager is responsible for the recruitment, selection, mentorship, and development of team members and for setting the strategic direction for the team in support of the business objectives of the company. This role is also accountable for building alignment with key stakeholders across Arity on the big data management strategy and execution.

Key Responsibilities:

  • Manageand develop the Analytics DataPlatformteam and drive technical excellence.

  • Drive the analysis, design, and development of a roadmap and implementation plan to continuously modernize our analytics dataand model managementplatform and improve operational efficiencyin accordance withbusinessobjectives.

  • Implement data security measures and ensure compliance with data governance policies and standards. Engineer secure app patterns into cloud platforms.

  • Use your knowledge of cloud design patterns, cloud operations,and cloud cost models toidentifyand address performance bottlenecks, troubleshoot technical issues, and implement optimizations to enhance overall data& model managementplatform performance.

  • Be a subject matter expert in cloud computing&model management/MLOpsto help data scientists and analysts work effectively in the cloud environment.

  • Work collaboratively with cross-functional teams, including data scientists, analysts,engineers,and business stakeholders, to understand dataand ML systemrequirements and deliver effective solutions.

  • Be a technology thought leader and a key influencer on technical decisions and organizationalstrategythat have long-term, strategic impact on the business.

Functional Skills:

  • Deep knowledge about public cloud architecture, cloud strategy, cloud operations, compliance, and related tools.

  • Hands-on experience in designing and delivering big data management and applications on cloud platforms using modern software development processes, methodologies, and tools.

  • Demonstrated experience in working with cloud-based ML frameworks, such asAWSSagemakerAI, Google Vertex AI, Microsoft Azure ML,or Databricks, and inMLOpsworkflows,patternsand deliveryobjectives.

  • Proficient in system design or a programming language suchGoLang, Scala, Python

  • Demonstrated experience in designing and supportingcloud-baseddatalakes/warehouses/lakehouses

  • Excellent collaboration skills and ability to work on a remote team.

  • Strong analytical, problem solving,and organizational skills.

Experience:

  • 10 or more years of experience (preferred)

Supervisory Responsibilities:

  • This job has supervisory duties.

#LI-TE1

Skills

Amazon S3, Amazon SageMaker, Amazon Web Services (AWS), Data Science, Google BigQuery, Google Cloud Platform (GCP), Machine Learning Operations, Vertex AI

Compensation

Compensation offered for this role is 151,700.00 - 221,675.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


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