2

Co Op Remote Big Data Jobs (NOW HIRING)

Data Architect - REMOTE

Tallahassee, FL · Remote

$110K - $143K/yr

Data Architects are responsible for designing data and information systems to support the ... Co-op Solutions offers a competitive Total Rewards package: 401(k) with generous company match ...

Remote Schedule : Full time hourly Reports To : Corporate Environmental Manager Compensation: $22 ... Data Analysis:Collect, analyze, and interpret data on energy, water, waste, and emissions.

Remote Schedule : Full time hourly Reports To : Corporate Environmental Manager Compensation: $22 ... Data Analysis:Collect, analyze, and interpret data on energy, water, waste, and emissions.

You will build the strategy, strengthen buyer relationships, interpret POS data, and ensure each ... Track the ROI on co-op spend, sampling, and in-store activations, and use it to shape next season ...

We collaborate closely with data scientists, engineers, and product teams to build scalable and ... As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and ...

$67K - $90K/yr

Bethlehem, Fully Remote Categories: Student Life Director of Internships and Employer Partnerships ... Design and scale high-impact internship and co-op opportunities by analyzing workforce trends and ...

We collaborate closely with data scientists, engineers, and product teams to build scalable and ... As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and ...

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... Work with big data technologies to solve complex data processing challenges. * Implement ETL ...

Showing results 21-40

Co Op Remote Big Data information

See salary details

$14

$56

$97

How much do co op remote big data jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for co op remote big data in the United States is $56.94, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $71.39 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Remote Big Data jobs? The most popular types of Remote Big Data jobs are:

Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Resource Point LLC

Minneapolis, MN • Remote

Contractor

Re-posted 17 days ago


Job description

Job Title: Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Location: Minneapolis, MN

Duration: 12+ Months

Description:
Our audit and governance functions require a centralized data leader who can:

  • Architect scalable, secure, compliant data pipelines
  • Translate complex datasets into actionable insights for regulatory and operational decisions
  • Build intuitive, low-maintenance tools that empower non-technical users across the PA experience

Responsibilities:

  • Data Collection & Cleaning - They gather data from various sources and clean it to ensure it's usable—removing errors, filling in missing values, and standardizing formats.
  • Exploratory Data Analysis (EDA) - They explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations.
  • Model Building - They build predictive models using machine learning algorithms to forecast outcomes or classify data.
  • Interpretation & Communication - They translate complex results into actionable insights and communicate them to stakeholders through reports, dashboards, or presentations.
  • Deployment & Monitoring - In some cases, they help deploy models into production systems and monitor their performance over time.

Ideal Background: 

  • Healthcare specific background would be helpful.
  • But candidate must be experienced in elements of statistics, computer science, and domain expertise to help organizations make data-driven decisions.
  • As well as, build and maintain artificial intelligence (AI) driven platforms/solutions.

Required Skills:

  • Programming: Python, R, SQL
  • Statistics & Mathematics
  • Machine Learning & AI
  • Data Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn
  • Big Data Tools: Spark, Hadoop (for large-scale data)

Preferred:

  • Advanced SQL and Python for analytics, ETL, and automation
  • Data modeling, warehousing, and pipeline orchestration (cloud, native stack)
  • Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)
  • Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)
  • Data security, privacy, and compliance best practices.