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Remote Data Jobs in Hamilton, ON (NOW HIRING)

McKesson

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of ...

AO Garcia Agency

Remote Benefits Consultant

Ottawa, ON · Remote

Join a Fast-Growing Remote Team Are you looking for a career where your hard work is recognized and ... If you would like more information about how your data is processed, please contact us. apply for ...

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Remote Data information

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.

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. They are often part-time or flexible, making them accessible to a wide range of job seekers.

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

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.

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 Hamilton, ON?

The most popular types of Data jobs in Hamilton, ON are:

What cities near Hamilton, ON are hiring for Remote Data jobs?

Cities near Hamilton, ON with the most Remote Data job openings:

Remote Data jobs near you

Lead, Data Engineer

McKesson

Mississauga, ON • On-site, Remote

CA$122K - CA$162K/yr

Full-time

Re-posted 25 days ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Summary

The Lead Data Engineer is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of scalable data engineering and analytics solutions across the PSaS Business Unit. This role serves as a technical leader and playercoach, combining deep handson engineering with solution leadership, mentorship, and crossfunctional influence.

What You'll Do
  • Lead endtoend technical delivery for complex data engineering initiatives or domains.
  • Serve as a senior technical point of contact for data engineering within crossfunctional squads.
  • Design and build scalable, reliable batch and realtime data pipelines across internal and external systems.
  • Lead solution design and influence architectural decisions in collaboration with Data Architects and enterprise teams.
  • Define and uphold engineering standards, patterns, and best practices aligned with enterprise data strategy.
  • Mentor and guide data engineers through design reviews, code reviews, and technical coaching.
  • Ensure quality, reliability, performance, and longterm maintainability of data products.
  • Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate analytical requirements into scalable solutions.
  • Drive an automationfirst and reusabilityfocused mindset across data engineering solutions.
  • Oversee testing strategies, production readiness, observability, and operational stability of data pipelines.
  • Proactively identify technical debt and lead remediation efforts.
  • Enable advanced analytics and ML use cases through optimized data models and pipelines.
  • Communicate technical designs, tradeoffs, risks, and outcomes clearly to stakeholders.
What You Bring
  • Recognized expertise in data engineering and analytics within large, enterprise environments.
  • Strong ability to independently lead complex technical initiatives with minimal oversight.
  • Proven experience influencing technical direction and mentoring other engineers without formal peoplemanagement responsibility.
  • Deep understanding of data architecture, ETL/ELT patterns, and largescale data processing.
  • Strong stakeholder communication and collaboration skills.
Technical Skills
  • Advanced proficiency in SQL, Python, and scripting.
  • Strong handson experience with:
    • Databricks, Snowflake, Azure Data Factory
    • Confluent Kafka / Azure Event Hub
    • PySpark and analytical SQL
    • Power BI and/or Tableau
    • Apache Airflow, dbt, Alation
  • Strong understanding of data modeling, metadata, lineage, and data quality practices.
  • Experience with cloud platforms (SaaS, PaaS, IaaS).
  • Experience implementing automation and Infrastructure as Code (IaC).
  • Ability to support advanced analytics and ML enablement (nonpure DS focus).
Minimum Requirements
  • Degree or equivalent and typically requires 10+ years of relevant experience.
Preferable Skills & Experience
  • Experience leading enterprisescale or BUwide data initiatives.
  • Exposure to realtime, eventdriven data architectures.
  • Familiarity with data governance programs and stewardship responsibilities.
  • Experience experimenting with emerging data and AI technologies.
  • Background in highly regulated or complex business environments.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$122,100 - $162,800

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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