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Data Coder Jobs in Toronto, ON (NOW HIRING)

Quadreal

Data Engineer, Data Platform

Toronto, ON · On-site

CA$85K - CA$100K/yr

This is a hands-on engineering role for someone who thrives in code, designing and delivering high-quality data pipelines, APIs, and integrations using modern Python-based tools. We are especially ...

Td

Data Engineer III

Toronto, ON

CA$125K - CA$154K/yr

If you want to write real code, own real systems, and work at the edge of where AI meets data engineering, this is the team. This role involves providing a broad range of data engineering functions ...

Td

Data Engineer III

Toronto, ON

CA$125K - CA$154K/yr

If you want to write real code, own real systems, and work at the edge of where AI meets data engineering, this is the team. This role involves providing a broad range of data engineering functions ...

Td

Data Engineer II

Toronto, ON

CA$81K - CA$115K/yr

Execute & approve code check-in/ check-out into source code repository as part of source code ... Lead data engineering initiatives and capabilities, data governance principles and how they apply ...

Citi

Data Engineer

Mississauga, ON · On-site

Define and enforce standards for coding, testing, deployment, monitoring, data quality, operational readiness, and production support. Appropriately assess risk when business decisions are made ...

Autodesk

Principal Data Analyst

Toronto, ON · On-site

Use AI coding and analysis tools to accelerate SQL/Python development, automate repeatable analytical work, prototype lightweight data applications or assistants, and create reusable workflows with ...

Citi

Data Engineer

Mississauga, ON · On-site

Define and enforce standards for coding, testing, deployment, monitoring, data quality, operational readiness, and production support. Appropriately assess risk when business decisions are made ...

Td

Data Engineer II

Toronto, ON

CA$81K - CA$115K/yr

If you want to write real code, own real systems, and work at the edge of where AI meets data engineering, this is the team. The role involves providing a broad range of data engineering functions ...

Td

Data Engineer II

Toronto, ON · On-site

CA$81K - CA$115K/yr

If you want to write real code, own real systems, and work at the edge of where AI meets data engineering, this is the team. This role involves providing a broad range of data engineering functions ...

Fluent, LLC

Data Engineer (Databricks)

Toronto, ON · Remote

As a Data Engineer on Fluent's Data Engineering team, you will bring your Databricks development ... You will help elevate standards across testing, code repository, ci/cd, and naming conventions.

Fluent, LLC

Data Engineer (Databricks)

Toronto, ON · On-site +1

As a Data Engineer on Fluent's Data Engineering team, you will bring your Databricks development ... You will help elevate standards across testing, code repository, ci/cd, and naming conventions.

Moneris

Manager, Data Engineering

Toronto, ON · Hybrid

CA$124K - CA$160K/yr

Enforce PCI DSS, security, coding standards, version control, deployment automation, and ... Hands-on expertise with modern data platforms (Snowflake, Databricks, DBT), data lakes, warehouses ...

Lyft

Data Engineer

Toronto, ON

Participate in code reviews to ensure code quality and distribute knowledge * Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business ...

Td

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Coding & Technical Skills: Use variety of tools, Python, Pyspark, SQL, Power BI to develop and ... Data Visualization: Experience with Power BI reporting. * Experience with cloud-based data ...

Morson Talent

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

... code templates for delivery of data pipelines and transformations for structured, semi-structured and unstructured data sets Develop modeling guidelines that ensure model extensibility and reuse by ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

Use infrastructure-as-code, CI/CD, and automation practices to improve deployment speed, consistency, and reliability * Monitor production data systems using logging, alerting, and observability ...

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Data Coder information

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

To thrive as a Data Coder, you need strong analytical skills, attention to detail, and a background in information management or health information technology, often supported by certification such as Certified Coding Specialist (CCS). Familiarity with coding systems like ICD-10, CPT, and healthcare databases, as well as proficiency in data entry software, is typically required. Excellent organizational skills, integrity, and the ability to communicate clearly with other healthcare professionals help set top performers apart. These skills ensure accurate coding, compliance with regulations, and reliable data for billing, reporting, and patient care.

What are some common challenges data coders face when working with large and complex datasets?

Data Coders often encounter challenges such as inconsistent data formats, missing values, and ambiguous information when handling large and complex datasets. Ensuring data accuracy and maintaining consistency across different sources can be time-consuming and requires strong attention to detail. Effective communication with team members, such as data analysts and project managers, is also essential to clarify coding guidelines and resolve uncertainties. Proactively addressing these challenges helps Data Coders maintain high-quality datasets and contribute to reliable data analysis.

What is the difference between Data Coder vs Data Entry Clerk?

AspectData CoderData Entry Clerk
Required CredentialsHigh school diploma, coding certifications (e.g., ICD, CPT)High school diploma or equivalent
Work EnvironmentHealthcare, insurance, or data management settingsOffices, administrative settings
Employer & Industry UsageHospitals, insurance companies, healthcare providersBusinesses, government agencies, offices
Common Search & ComparisonOften compared for data processing and coding accuracyCompared for data input speed and accuracy

Data Coders focus on translating medical or technical data into standardized codes, requiring specific certifications. Data Entry Clerks primarily input data into systems, emphasizing speed and accuracy. While both roles handle data, Data Coders require specialized knowledge, especially in healthcare coding, whereas Data Entry Clerks focus on general data input tasks.

How much do data coders make?

Data coders typically earn between $30,000 and $50,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced coders with specialized skills can earn higher salaries, especially if they work with advanced data management tools or certifications.

What does a data coder do?

A data coder is responsible for reviewing, categorizing, and coding data, often from surveys, interviews, or other sources, to ensure consistency and accuracy for analysis. They typically use coding manuals or software tools and may need attention to detail and knowledge of data management practices.
Data Coder jobs near you
Infographic showing various Data Coder job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

RQ00746-Data Analytical Specialist/Scientist

Toronto, ON • Hybrid

Source Code
Computer and Peripheral Equipment Manufacturing • 201 - 500 employees
Learn more about Source Codeexternal

CA$73.38 - CA$88.06/hr

Full-time

Re-posted 13 days ago

Key responsibilities

  • Analyze the DLSPH chronic-disease-burden model and methodology to support its build within PHO systems.

  • Build, validate, and run the model within PHO's environment, aligned with the Public Health Data Utility.

  • Support data acquisition through data-sharing agreements and governance processes for the ODBM to operate within PHO systems.

Job description

RQ00746-Data Analytical Specialist/Scientist

Location: 661 University Ave, Suite 1701, Toronto, ON M5G 1M1
Hybrid - 2 days in office
Contract - 6+ months (131 days) - Possible extension

Position Summary

HealthMap is the flagship initiative delivered through Public Health Ontario's (PHO) Analytics Engine. It brings the Dalla Lana School of Public Health (DLSPH, University of Toronto) chronic-disease-burden model (ODBM) into PHO, building and ensuring it runs within PHO systems.

The Senior Data Analytical Specialist/Scientist is fully allocated to HealthMap. Working with minimal direction and leading others, the role analyzes the ODBM and methodology and builds and validates it within PHO. The role aligns with and advances the Public Health Data Utility (PHDU) as the platform foundation and operates within the Analytics Engine operating model.

Key Responsibilities

  • Analyze the DLSPH chronic-disease-burden model and methodology to support a build within PHO systems.
  • Build, validate, and run the model within PHO's environment, aligned to and advancing the PHDU (with an R/Azure bridge until PHDU is available).
  • Support data acquisition through data-sharing agreements and governance processes where required for the ODBM to run within PHO systems.
  • Document methods and transfer knowledge to PHO staff so the ODBM can be sustained beyond the engagement.
  • Participate in related HealthMap documentation, development, testing, end-user training, and knowledge transfer; work with functional experts, data architects, ETL developers, and PHDU technical teams to deliver sustainable solutions.

Key Deliverables

  • Documented methodology, code, data-acquisition and, as available, analytical and reporting requirements.
  • DLSPH model built, validated, and running within PHO systems (PHDU-aligned).
  • Knowledge transfer to PHO staff to sustain the capability.

General Skills (Required)

  • Excellent analytical, problem-solving, and decision-making skills.
  • Strong consulting and relationship-management skills to work with client groups, technical teams, data stewards, data engineers and stakeholders to confirm requirements, options, constraints, and delivery decisions.
  • Ability to communicate complex quantitative methods, assumptions, outputs, and limitations clearly to technical and non-technical audiences.
  • Senior-level experience with statistical methods and models, including their underlying data requirements, model validation, and reproducible analytical workflows.
  • Ability to manipulate and analyze complex data from structured and unstructured sources to support evidence-based decision-making.
  • Experience designing data-ingestion, transformation, quality-checking, and reproducible data-processing workflows.
  • Broad understanding of data management, business analysis, database architecture, governance, and information visualization.
  • Proficiency in R and/or Python, query languages, and version-controlled analytical code to ensure that any ODBM analytical workflows can be implemented, run, troubleshooted, and documented.
  • Strong investigative, mathematical, and statistical skills to assess model logic, test assumptions, resolve data or code issues, and support sustainable knowledge transfer.

AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.

Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.

INCORPORATED RATE RANGE (7.25 billable hours per day)

  • $73.38/hr - $88.06/hr Inc.

T4 RATE RANGE (7.25 billable hours per day)

  • $58.70/hr - $70.45/hr T4