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Full Time Remote Data Encoder Jobs (NOW HIRING)

Aimpoint Digital

$116K - $153K/yr

Become a trusted data and AI advisor to our clients, from data owners and analytic users to ... Willingness to travel We are actively seeking candidates for full-time, remote work within the US ...

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

S. Citizenship. Position Overview Riverside Research is seeking a full-time Remote Sensing ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$120K - $150K/yr

Description Synex Talent is looking for an Oncology Data Specialist to join our team in a full-time, remote position. Based in Northborough, this role plays a crucial part in harnessing data to ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$150K - $200K/yr

This full-time, remote position allows you to leverage your expertise in the health and fitness industry while contributing to cutting-edge oncology research and data management. As an Oncology Data ...

Spectra

Concur Administrator | Full-Time | Remote

$82K - $106K/yr

Benefits for Full-Time roles: Health, Dental and Vision Insurance, 401(k) Savings Plan, 401(k) ... Data Integrity and Compliance * Ensure data integrity between Concur and downstream ERP and ...

New

AristaMD

Care Coordinator (Full Time/Remote)

San Diego, CA · Remote

$20.50 - $27.50/hr

The Coordinator ensures all mandatory administrative information--including patient details, insurance data, and supporting documentation--is accurately captured and attached via the proprietary ...

AristaMD

Care Coordinator (Full Time/Remote)

San Diego, CA · On-site +1

$20.50 - $27.50/hr

The Coordinator ensures all mandatory administrative information-including patient details, insurance data, and supporting documentation-is accurately captured and attached via the proprietary system.

AristaMD

Care Coordinator (Full Time/Remote)

San Diego, CA · Remote

$19.75 - $26.50/hr

The Coordinator ensures all mandatory administrative information--including patient details, insurance data, and supporting documentation--is accurately captured and attached via the proprietary ...

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All JobsData Encoder JobsFull Time Remote Data Encoder Jobs

Full Time Remote Data Encoder information

What is the difference between Full Time Remote Data Encoder vs Part Time On-site Data Entry Clerk?

AspectFull Time Remote Data EncoderPart Time On-site Data Entry Clerk
Work EnvironmentRemote, home-basedOn-site, office or client location
CredentialsBasic data entry skills, sometimes certificationsBasic data entry skills, minimal certifications
Employer & Industry UsageBusinesses needing large data processing, remote-friendly companiesOrganizations with on-site data management needs
Work HoursFull-time, standard hoursPart-time, flexible or fixed hours

Full Time Remote Data Encoders typically work from home, handling large data projects full-time, often with specific certifications. In contrast, Part Time On-site Data Entry Clerks work on-site, usually part-time, with flexible hours. Both roles involve data entry but differ mainly in work setting and hours.

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Full Time Remote Data Encoder jobs near you
Infographic showing various Full Time Remote Data Encoder job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
Senior Data Engineer 2026 - US,UK

Senior Data Engineer 2026 - US,UK

Aimpoint Digital

On-site, Remote

$116K - $153K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
You will:
  • Become a trusted data and AI advisor to our clients, from data owners and analytic users to executive stake holders helping them translate business questions into AI-ready data architectures
  • Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
  • Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, orchestration jobs, and analytic layers that support LLM-driven analytics, natural language querying, and agent-based workflows
  • Build and evolve semantic and analytical layers that power tools like Snowflake Cortex, Databricks Genie, BI platforms, and emerging AI Copilots
  • Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native orchestration frameworks to deliver scalable solutions, and credentialize your skills with certifications
  • Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases
  • Design modern data models with an emphasis on metrics layers, knowledge graphs, and semantic consistency for AI consumption
  • Write production-ready code in SQL, Python, and Spark, following software engineering tools and best-practices such as Git and CI/CD
  • Apply AI-assisted data engineering techniques for data exploration, quality checks, schema generation, documentation, lineage, and transformation acceleration
  • Contribute to the evolution of our AI-forward data engineering and infrastructure practice, including internal accelerators, patterns, and client-ready architectures
  • Collaborate with analytics, data science, and ML project teams to productionize AI-enabled analytics, features, and inference pipelines. Note: You will not be developing machine learning models or algorithms

Who you are:
We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.
As a Senior Data Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experienced at partnering with business stakeholders, explaining technical concepts clearly, and shaping solutions around real business outcomes
  • Passionate about modern data engineering and AI trends, including LLM powered analytics, semantic layers, vectorized data access, and metadata-driven architectures
  • Strong written and verbal communication skills required
  • 3+ years working with relational databases and query languages
  • 3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • 3+ years data modeling (e.g. star schema, entity-relationship)
  • 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
  • 2+ years' experience with dbt Core and/or dbt Cloud preferred
  • Experience enabling or accelerating data platform engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred
  • Comfortable working independently on individual workstream, owning end-to-end delivery from design through production
  • Expertise in software engineering concepts and best practices
  • DevOps experience preferred
  • Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred
  • Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferred
  • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
  • Experience working with Apache Spark preferred
  • Experience preparing data for analytics and following a data science workflow to drive business results preferred
  • Consulting experience strongly preferred
  • Willingness to travel

We are actively seeking candidates for full-time, remote work within the US and UK. Atlanta and London applicants will have the opportunity to work in our regional offices.

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