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Entry Level Data Engineer Non Profit Jobs (NOW HIRING)

Data Engineer - AWS

Manhattan, NY ยท On-site

$118K - $132K/yr

Position: Data Engineer - AWS Location: Hybrid (Must Reside in NY/NJ/CT) Work Schedule: Monday - Friday, 9:00am - 5:00pm Compensation: $118,135.58 - $132,902.53 Annual Salary Our Community Mission

Data Engineer - AWS

Manhattan, NY ยท On-site

$118K - $132K/yr

Position: Data Engineer - AWS Location: Hybrid (Must Reside in NY/NJ/CT) Work Schedule: Monday - Friday, 9:00am - 5:00pm Compensation: $118,135.58 - $132,902.53 Annual Salary Our Community Mission

Data Engineer

Irvine, CA ยท On-site

$34.47 - $38.46/hr

Location Requirement: Hybrid onsite in Irvine, CA Our dynamic Habit Burger team is building industry leading technology for our staff and restaurant guests. Customers love using our highly rated app

Data Engineer

Irvine, CA ยท On-site

$34.47 - $38.46/hr

Location Requirement: Hybrid onsite in Irvine, CA Our dynamic Habit Burger team is building industry leading technology for our staff and restaurant guests. Customers love using our highly rated app

Data Engineer

Irvine, CA ยท Hybrid

$34.47 - $38.46/hr

Location Requirement: Hybrid onsite in Irvine, CA Our dynamic Habit Burger team is building industry leading technology for our staff and restaurant guests. Customers love using our highly rated app

Data Engineer

Irvine, CA ยท Hybrid

$34.47 - $38.46/hr

Location Requirement: Hybrid onsite in Irvine, CA Our dynamic Habit Burger team is building industry leading technology for our staff and restaurant guests. Customers love using our highly rated app

Data Engineer

Irvine, CA ยท Hybrid

$34.47 - $38.46/hr

Location Requirement: Hybrid onsite in Irvine, CA Our dynamic Habit Burger team is building industry leading technology for our staff and restaurant guests. Customers love using our highly rated app

AI Data Engineer

Provo, UT ยท On-site

$50K - $90K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute

Salary: $50,000 to $90,000 AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent

AI Data Engineer

Provo, UT

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute

* Work closely with engineering and marketing teams to identify and answer important product questions to drive business growth. * Create machine learning solutions for a diverse set of business

Entry Level Data Scientiest

Manchester, NH ยท On-site

$16.25 - $21.75/hr

Job Title Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From

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Entry Level Data Engineer Non Profit information

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How much do entry level data engineer non profit jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for entry level data engineer non profit in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

What is the highest paying job in a non-profit?

In non-profit organizations, executive roles such as Chief Executive Officer (CEO) or Executive Director tend to be the highest paid positions, often earning six-figure salaries. Senior management roles like Chief Financial Officer (CFO) or Chief Operating Officer (COO) also typically have high compensation, especially in larger organizations with substantial budgets.

Can I get a data engineer job with no experience?

Entry level data engineer positions typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior work experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve chances of securing an entry level role.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Entry-level data engineers are still essential for designing data systems, managing infrastructure, and ensuring data quality, often using tools like SQL, Python, and cloud platforms. AI tools can augment their work but do not eliminate the role entirely.

What is the difference between Entry Level Data Engineer Non Profit vs Entry Level Data Analyst Non Profit?

AspectEntry Level Data Engineer Non ProfitEntry Level Data Analyst Non Profit
Required SkillsBasic programming, data pipeline knowledge, SQLData interpretation, visualization, SQL
CertificationsNone required, but certifications in data engineering are a plusNone required, but certifications in data analysis are beneficial
Work EnvironmentBuilding data infrastructure, managing data pipelinesAnalyzing data, creating reports and dashboards
Industry UsageUsed in organizations with complex data systemsUsed in organizations focusing on data insights and reporting

Entry Level Data Engineer Non Profit roles focus on developing and maintaining data infrastructure, requiring programming and pipeline skills. Entry Level Data Analyst Non Profit positions emphasize analyzing data and creating reports. Both roles often share similar certifications and work environments but differ in their core responsibilities and technical focus.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. These roles typically require advanced skills, extensive experience, and work at large tech companies or successful startups.
More about Entry Level Data Engineer Non Profit jobs
What are the most commonly searched types of Data Engineer Non Profit jobs? The most popular types of Data Engineer Non Profit jobs are:
What job categories do people searching Entry Level Data Engineer Non Profit jobs look for? The top searched job categories for Entry Level Data Engineer Non Profit jobs are:
Infographic showing various Entry Level Data Engineer Non Profit job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.
Data Engineer Associate

Data Engineer Associate

American Institutes for Research

Arlington, VA โ€ข On-site

$131K - $158K/yr

Full-time

Re-posted yesterday


Job description

AIR's Tek Office is seeking a motivated Data Engineer Associate to join our collaborative data and analytics team. The Data Engineer Associate will support the design, development, and maintenance of scalable data pipelines and contribute to building modern data platforms that enable business intelligence, analytics, and reporting. This role is ideal for an early-career professional with a foundational understanding of data engineering principles and hands-on experience (academic or professional) with Microsoft Azure and Microsoft Fabric tools. The position offers opportunities for mentorship, technical skill development, and exposure to modern cloud-based data solutions in a collaborative environment. This position reports into the Technology Office.
This position offers hybrid work flexibility, requiring three days per week in AIR's Virginia office, with occasional travel for meetings, training sessions, and conferences.
About AIR:
Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.
Responsibilities:
The responsibilities for the position include:
  • Assist in the development and maintenance of data pipelines and ETL/ELT processes using Azure and Fabric tools.
  • Support ingestion, integration, and transformation of data from multiple internal and external sources.
  • Work with Azure Data Factory, Azure Synapse, and Microsoft Fabric (Data Factory, Lakehouse, Dataflows, etc.).
  • Help design and maintain data models, data lakes, and data warehouses.
  • Write and optimize SQL queries for data transformation and validation.
  • Collaborate with data analysts, business stakeholders, and senior engineers to align on shared team objectives and drive successful outcomes.
  • Monitor and troubleshoot data workflows to ensure reliability and performance.
  • Participate in data quality, governance, and documentation efforts.
  • Contribute to process automation and continuous improvement.
  • Duties and responsibilities may change based on business needs.

Qualifications:
Education, Knowledge, and Experience
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, related field or at least 2 years of relevant professional experience.
  • 1-2 years of experience in data engineering, data analysis, or related roles.
  • Foundational understanding of data engineering concepts, including ETL/ELT processes, data modeling, and data warehousing.
  • Hands-on experience with SQL and relational databases, along with familiarity in Python, PySpark, or similar programming languages.
  • Exposure to Microsoft Azure data services, including Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage, supporting scalable and cloud-based data solutions.
  • Hands-on experience with Microsoft Fabric (Lakehouse, Data Factory, Dataflows Gen2, OneLake), along with familiarity with Power BI, APIs, and modern data integration techniques.
  • Understanding of CI/CD pipelines, version control (Git), data governance, security, and compliance practices, with exposure to big data or distributed computing frameworks; relevant Microsoft and industry certifications preferred.

Skills
  • Strong communicator who can convey complex technical concepts clearly to diverse audiences while fostering collaboration across cross functional and virtual teams.
  • Demonstrated ability to exercise independence and initiative while partnering collaboratively to achieve shared team objectives.
  • Highly adaptable in fast paced environments, with the ability to prioritize and manage multiple concurrent workstreams while delivering timely, high-quality results.
  • Advanced analytical and problem-solving skills, demonstrating strong critical thinking, data accuracy, and disciplined attention to detail.
  • Strong eagerness to learn and integrate new technologies, particularly within the Microsoft ecosystem, to enhance effectiveness and efficiency.

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.
American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locks, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment.
ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.org or call 202.403.5000.
Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an "@air.org" domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to recruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.
#LI-MP1 #LI-Hybrid
AIR's Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States.
Anticipated Annual Salary Range
$105,000-$122,000 USD