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Volunteer Data Analytics Engineer Jobs (NOW HIRING)

Corning

Sr Data Analytics Engineer

Apodaca, NM · On-site

$113K - $136K/yr

Senior Data Analytics Engineer Are you looking for an opportunity to combine data engineering and analytics in a role that drives real business impact? Would you like to join a global organization ...

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO

$113K - $135K/yr

We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI capabilities that power BillGO's AI/Data Platform, from trusted data models and self-serve analytics ...

Rugs USA

Data Analytics Engineer

New York, NY · On-site

$110K - $120K/yr

Position Overview The Data Analytics Enginee r designs, builds, and supports RugsUSA's enterprise ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * Experience developing and ...

Ryde Technologies, LLC

Data Analytics Engineer

Arlington, VA · On-site

$130K - $157K/yr

Job Overview We are seeking a Data Analytics Engineer to support our Federal Government Customer with delivering secure, cloud-based mission systems. The Engineer will contribute to the design ...

Venturesoft

Data Analytics Engineer

Pleasanton, CA · On-site

$126K - $151K/yr

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You'll develop KPI reports, partner ...

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO · On-site

$102K - $146K/yr

We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI capabilities that power BillGO's AI/Data Platform, from trusted data models and self-serve analytics ...

Evereve Incorporated

Data Analytics Engineer

Edina, MN · On-site

$115K - $165K/yr

We are seeking an Analytics Engineer to drive the development and day-to-day operations on our data and analytics team. This is an execution-focused role within a lean data team, responsible for ...

New

Broccoli AI

Data Analytics Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Ad-hoc analyses, segment investigations, partner questions. * Work closely with engineering. Understand how our systems store and produce data, including schemas, events, and architecture, and give ...

Motion Recruitment

Data Analytics Enginer

Wilmington, NC · On-site

An established organization is expanding its data team and is seeking a Data Analyst Developer to support enterprise data initiatives. This contract to hire opportunity offers the chance to work with ...

Posted today

CGI Inc.

Senior Data Analytics Engineer

Reston, VA · On-site

Senior Data Analytics Engineer Category: Business Analysis (functional and technical) Main location: United States, Virginia, Reston Position ID:J0726-0947 Employment Type: Full Time U.S. - Finding ...

Clear Street

Data Analytics Engineer

New York, NY · On-site

$150K - $225K/yr

The Control Engineering team at Clear Street is a small team with a great deal of responsibility ... You'll build on your analytical skills to create solutions that process large amounts of data from ...

Alchemy Insights, Inc

Data Analytics Engineer

New York, NY · On-site

$200K - $240K/yr

... in data engineering with strong SQL and deep Snowflake expertise * Experience designing efficient, scalable analytical data models * Proficiency with dbt or comparable transformation frameworks

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All JobsVolunteer Data Analytics Engineer Jobs

Volunteer Data Analytics Engineer information

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How much do volunteer data analytics engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for volunteer data analytics engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is the difference between Volunteer Data Analytics Engineer vs Volunteer Data Scientist?

AspectVolunteer Data Analytics EngineerVolunteer Data Scientist
Required CredentialsBasic data analysis, SQL, some programmingStatistical knowledge, programming, data modeling
Work EnvironmentCollaborative, project-based, nonprofit or NGO settingsResearch-focused, nonprofit or NGO settings
Employer & Industry UsageNonprofits, NGOs, social enterprisesNonprofits, NGOs, research organizations
Common Search & Comparison IntentUnderstanding role differences, job requirementsClarifying skill sets, responsibilities

Volunteer Data Analytics Engineers focus on building data pipelines, managing data infrastructure, and performing basic analysis. Volunteer Data Scientists typically handle advanced statistical modeling, predictive analytics, and data interpretation. Both roles are vital in nonprofit settings but differ in technical depth and focus areas.

How do volunteer data analytics engineers typically collaborate with nonprofit teams to deliver impactful insights?

Volunteer Data Analytics Engineers often work closely with nonprofit staff, program managers, and fellow volunteers to understand organizational goals and data challenges. They may participate in regular meetings to align on project priorities, share data findings, and provide training on analytics tools or dashboards. Effective communication is key, as these engineers translate complex data into actionable insights tailored to diverse audiences, ensuring that data-driven recommendations are both practical and mission-focused. This collaborative environment also provides opportunities for networking and skill development within the social impact sector.

What is a volunteer data analytics engineer?

Volunteer Data Analytics Engineers are individuals who offer their expertise in data analytics without monetary compensation, often to nonprofit organizations or social causes. They help collect, process, and analyze data to extract insights that can improve decision-making and maximize impact. Their tasks may include building data pipelines, creating dashboards, and interpreting trends to guide organizational strategy. By volunteering their skills, they support missions that may lack the resources to hire full-time data professionals.

What are the key skills and qualifications needed to thrive as a volunteer data analytics engineer, and why are they important?

To thrive as a Volunteer Data Analytics Engineer, you need a solid understanding of data analysis, statistics, and proficiency in programming languages such as Python or R, often supported by a degree or coursework in computer science or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and cloud platforms is typically expected. Strong problem-solving abilities, effective communication, and a collaborative mindset help you deliver insights in a volunteer-driven environment. These skills are crucial for transforming raw data into actionable information that supports organizational goals and drives impactful decision-making.
What cities are hiring for Volunteer Data Analytics Engineer jobs? Cities with the most Volunteer Data Analytics Engineer job openings:
What are the most commonly searched types of Data Analytics Engineer jobs? The most popular types of Data Analytics Engineer jobs are:
What states have the most Volunteer Data Analytics Engineer jobs? States with the most job openings for Volunteer Data Analytics Engineer jobs include:
Volunteer Data Analytics Engineer jobs near you

Sr Data Analytics Engineer

Corning

Apodaca, NM • On-site

$113K - $136K/yr

Full-time

Re-posted 13 days ago

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

88th of 538 rated manufacturers

Job description

Senior Data Analytics Engineer

Are you looking for an opportunity to combine data engineering and analytics in a role that drives real business impact?

Would you like to join a global organization where you can build scalable data solutions, generate actionable insights, and help teams make better decisions through trusted, high-quality data?

ROLE DESCRIPTIONWhat is your role?

The Senior Data Analytics Engineer is responsible for designing, building, and maintaining reliable data pipelines while also performing data analysis to support business decision-making. This role bridges engineering and analytics, ensuring that high-quality, accurate, and accessible data is available across the organization. The position works closely with cross-functional teams to transform business needs into scalable data solutions, reporting, and actionable insights.

Major responsibilities and tasks of the position:
  • Develop, maintain, and optimize scalable data pipelines and ETL/ELT processes using Databricks and related tools
  • Build and maintain data models, dashboards, and analytics solutions that support reporting and business KPIs
  • Ensure data quality, governance, traceability, and integrity through monitoring and validation processes
  • Partner with cross-functional stakeholders to identify business needs and deliver data-driven insights and solutions
REQUIREMENTSWhat do you need to have?
  • Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, or a related field
  • 3 to 5 years of experience in data engineering, data analytics, analytics engineering, or a similar role
  • Hands-on experience with Databricks, including data pipelines, SQL, Delta Lake, and notebooks
  • Strong SQL and Python skills for data manipulation, transformation, and analysis
  • Experience with ETL/ELT pipelines, data modeling, and data quality/governance practices
  • Experience with BI tools such as Power BI, Tableau, or similar platforms
  • Familiarity with cloud platforms such as Azure, AWS, or GCP
  • Strong analytical and problem-solving skills, with the ability to communicate technical concepts to non-technical stakeholders
  • English proficiency, both spoken and written
PREFERRED QUALIFICATIONS
  • Master’s degree in Artificial Intelligence, Statistics, or a related field
  • Familiarity with SAP ERP systems and integration with data solutions
  • Experience working with manufacturing KPIs, statistical process control, or Six Sigma concepts
  • Exposure to predictive modeling and machine learning pipelines
  • Understanding of Agile methodologies such as Scrum and Kanban
BENEFITS OF WORKING FOR CORNINGWhat we offer?
  • Competitive compensation and benefits package
  • A collaborative environment that supports learning, innovation, and professional growth
  • The opportunity to work on impactful, cross-functional data and analytics initiatives
  • Exposure to modern data tools, cloud technologies, and business-critical decision-making
  • Equal opportunity employer

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com

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