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Remote Data Encoder Jobs (NOW HIRING)

AccelerateHC

Data Migration Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

The company is fully remote across the US and Canada and operates with a transparent salary ... that encode agreed business rules. * Execute migrations end-to-end on the internal migration ...

Altegra Health

Remote Certified Coder

Atlantic City, NJ · On-site +1

$22.50 - $31/hr

Altegra provides end-to-end solutions to help improve payment integrity data, to support ... an encoder); • Strong clinical skills related to chronic illness diagnosis, treatment and ...

Altegra Health

Remote Certified Coders

Memphis, TN · Remote

$21.75 - $29.75/hr

... data validation requirements is preferred); Ability to code using an ICD-9-CM code book (without using an encoder); Strong clinical skills related to chronic illness diagnosis, treatment and ...

Altegra Health

Remote Certified Coder

Dallas, TX · Remote

$22.25 - $30.50/hr

... data validation requirements is preferred); Ability to code using an ICD-9-CM code book (without using an encoder); Strong clinical skills related to chronic illness diagnosis, treatment and ...

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How much do remote data encoder jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for remote data encoder in the United States is $39.16, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $60.10 per hour, depending on experience, location, and employer.

What is a Remote Data Encoder job?

A Remote Data Encoder is responsible for inputting, updating, and managing data in digital databases or systems from a remote location. They ensure accuracy and efficiency while handling large volumes of information, such as invoices, customer details, or other records. This role typically requires strong typing skills, attention to detail, and familiarity with data management software. Many remote data encoders work as freelancers or for companies that need organized and accurate digital records.

What are the key skills and qualifications needed to thrive in the Remote Data Encoder position, and why are they important?

To thrive as a Remote Data Encoder, you need excellent typing speed and accuracy, attention to detail, and a basic understanding of data management processes, usually supported by a high school diploma or equivalent qualification. Familiarity with spreadsheet applications like Microsoft Excel, data entry software, and occasionally database management systems is often required. Strong time management, self-motivation, and the ability to work independently are valuable soft skills for this remote position. These skills and qualities ensure the efficient, error-free processing of data that organizations rely on for accurate record-keeping and decision-making.

What are some common challenges faced by Remote Data Encoders, and how can I overcome them?

As a Remote Data Encoder, you'll often face challenges such as managing distractions while working from home, maintaining data accuracy under tight deadlines, and handling large volumes of repetitive information. To succeed, it's important to set up a dedicated, quiet workspace, establish a consistent work schedule, and take regular breaks to maintain focus and prevent errors. Keeping open lines of communication with your team or supervisor can help ensure clarity on tasks and expectations. Many successful remote data encoders also use productivity tools or task trackers to stay organized and meet their daily goals.

More about Remote Data Encoder jobs
What cities are hiring for Remote Data Encoder jobs? Cities with the most Remote Data Encoder job openings:
What are the most commonly searched types of Data Encoder jobs? The most popular types of Data Encoder jobs are:
What states have the most Remote Data Encoder jobs? States with the most job openings for Remote Data Encoder jobs include:
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Remote Data Encoder jobs near you
Infographic showing various 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, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,449 per year, or $39.2 per hour.

Data Migration Engineer

AccelerateHC

Santa Monica, CA • On-site, Remote

$128K - $154K/yr

Full-time

Life, Retirement, PTO

Posted 19 days ago

Job description

About Our Client
Our client is a fast-growing, venture-backed software company building a modern operating system for communications service providers - a single platform managing billing, operations, and automation. The company is fully remote across the US and Canada and operates with a transparent salary philosophy, with compensation published internally under a structured evaluation framework.
About the Role
When a new customer joins the platform, their data has to come with them - out of legacy systems and into the client's product, accurately, completely, and on schedule. This role owns the technical execution of that work.
As a Data Migration Engineer on the client's migration delivery team, the role will own customer migrations end-to-end from the technical side: exploring legacy source systems, exporting data, transforming it into the platform's standard format, and driving it to a validated, production-ready state. The engineer works from business context and mapping rules defined by a customer-facing migration counterpart, and works daily in the company's internal migration tooling - improving it directly where possible and specifying larger needs for the platform engineering team to build.
This is a hands-on role for someone who enjoys turning messy, real-world data into something clean, repeatable, and trusted - and who is equally comfortable leading technical conversations directly with customers. The team is expanding significantly, so this hire will help shape how migrations are run going forward.
Key Responsibilities
  • Explore legacy source systems - databases, flat files, reports, APIs - to understand their structure, quality, and relationships in the context of the target data model.
  • Export source data across a range of access methods, including SQL, APIs, manual extracts, and database backups.
  • Transform exported data into the platform's standard format by authoring declarative, version-controlled mapping files that encode agreed business rules.
  • Execute migrations end-to-end on the internal migration platform: load, validate against target schemas, reconcile, and import to production.
  • Build and reuse mappings, templates, and validation rules so each migration is faster and more repeatable than the last.
  • Contribute engineering improvements to the migration tooling - validation rules, transforms, mapping updates - and raise larger needs to the platform engineering team.
  • Diagnose and resolve data discrepancies during dry runs, UAT, and post-cutover.
  • Document mapping specs, transformation logic, and data anomalies so migrations are auditable and repeatable.

What Success Looks Like
  • Source data lands in the platform accurately, completely, and on schedule - with discrepancies caught before go-live.
  • Transformation and validation work is reusable, so later migrations build on prior templates and rules.
  • Data issues are diagnosed and resolved quickly, keeping migrations on track.
  • Tooling gaps are either fixed directly or clearly specified for the platform engineering team.
  • Delivered data is trusted - accurate and well-documented enough to present to customers with confidence.
What the Right Person Brings
  • 3-5+ years in data engineering, data migration, ETL, or a similar hands-on data role.
  • Strong SQL and ETL fundamentals - treating extract → transform → load as a deliberate methodology: staging, repeatable and idempotent loads, full vs. incremental loads, and validation and reconciliation at every stage.
  • Hands-on data-manipulation fluency across SQL, Python, JSON, or similar - querying, profiling, reshaping data, and debugging unfamiliar source schemas.
  • Experience extracting data from varied sources: relational databases, APIs, flat files, and backups.
  • AWS experience - particularly Athena - and depth in SQL-based systems.
  • A background in high-volume, structured, or legacy data environments - for example banking, legal software, payroll, large CRMs, or enterprise SaaS with financial modules.
  • A proven ability to transform messy, poorly documented data into clean, structured output, with a solid grasp of data quality, validation, reconciliation, and cleansing.
  • Client-facing communication skills - comfortable leading technical conversations directly with customers.
  • Comfort in fast-paced, ambiguous environments with shifting source systems, and a bias toward reusability and automation over one-off scripts.
  • A Bachelor's degree in Computer Science, Information Systems, Data or Software Engineering, or a related field - or equivalent work experience.
Nice to Have
  • Familiarity with TypeScript/JavaScript (Node).
  • Familiarity with OSS/BSS, telecom, or billing/CRM data models (subscribers, services, billing accounts) - or a demonstrated ability to ramp quickly on unfamiliar domain models.
  • Comfort using AI-assisted tooling to accelerate data exploration, mapping, and validation.
  • Experience building or extending an internal data platform or migration tooling.
  • Exposure to cutover and go-live operations: delta loads, reconciliation, rollback.
  • Experience collaborating with a separate platform or product engineering team.
Compensation & Benefits
  • Our client offers competitive compensation aligned with experience and geography, under a transparent internal salary framework, along with:
  • A flexible 25-day vacation policy and flexible working hours.
  • Stock options.
  • Group insurance and telemedicine.
  • A life spending account and retirement savings plan.
  • 100% remote work, company-wide.
Equal Opportunity
Our client is an equal-opportunity employer. Accommodations are available on request throughout the hiring process. To learn more about this opportunity, please contact Accelerate HC.

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