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No Experience Data Engineer Jobs (NOW HIRING)

IDR, Inc.

Data Architect

Charlotte, NC · On-site

$62.25 - $80/hr

SQL Server/SSIS experience is a plus Great opportunity for a Senior/Lead Data Engineer who enjoys coding but wants more ownership over architecture, technical standards, and platform design.

New

Qode

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate ...

Qode

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate ...

Qode

Data Engineer

Jackson, NJ · On-site

$116K - $140K/yr

New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate ...

Qode

Data Engineer

NJ · On-site

$116K - $140K/yr

New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate ...

IT America Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

We are seeking an experienced Data Engineer to join our team supporting Capital One. The ideal candidate will have a strong background in building scalable data pipelines, modern cloud data platforms ...

1872 Consulting

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our data ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

No Job Number: R0237241 Location: Albuquerque,NM,US Share job via: Share Data Engineer The ... We need an experienced data engineer like you to help our clients find answers in their data to ...

1872 Consulting

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our data ...

Delan Associates, Inc.

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Glider - Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the ... Work Schedule Monday - Friday 9:00 AM - 5:00 PM ET Hybrid schedule (3 days onsite per week) No ...

Delan Associates, Inc

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Glider - Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the ... Work Schedule Monday - Friday 9:00 AM - 5:00 PM ET Hybrid schedule (3 days onsite per week) No ...

R2 Technologies Corporation

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Atlanta, GA Remote Duration : Long-Term We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. Overall, you'll ...

Booz Allen Hamilton, Inc.

Data Engineer

Fayetteville, NC · On-site +1

$77K - $176K/yr

No Job Number: R0236980 Location: Fayetteville,NC,US Share job via: Share Data Engineer The ... We need an experienced data engineer like you to help our clients find answers in their data to ...

Synergie Systems

Entry Level Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

You will work with experienced data engineers and analysts to build, maintain, and improve data pipelines and data infrastructure. This is a great opportunity for someone who has a strong foundation ...

New

System One

Data Engineer Sr - Contractor

Farmers Branch, TX · On-site

$110K - $132K/yr

Data Engineer Sr. Provide locations: Dallas, TX Length of Assignment: 1 year ROLE/RESPONSIBILITIES ... Strong hands-on experience designing and operating high-volume, enterprise OLTP databases ...

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No Experience Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do no experience data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for no experience data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a no experience data engineer?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

What skills and qualifications are needed to thrive as a no experience data engineer?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.

How can entry-level data engineers quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

What is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

More about No Experience Data Engineer jobs

What cities are hiring for No Experience Data Engineer jobs?

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What are the most commonly searched types of Data Engineer jobs?

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What states have the most No Experience Data Engineer jobs?

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No Experience Data Engineer jobs near you
Infographic showing various No Experience Data Engineer job openings in the United States as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 56% In-person, and 44% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer (Adobe Experience Platform)

Dentsu Aegis Network

Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Job Description:

Copilot said:

🚀 Data Engineer (Adobe Experience Platform & RT-CDP)

Build the data foundation powering next-generation customer experiences.

Are you an Adobe Experience Platform expert who thrives at the intersection of data engineering, customer identity, activation, and AI? Do you enjoy building scalable data pipelines, solving complex integration challenges, and helping brands unlock the full power of their customer data?

If so, we'd love to meet you.

What You'll Do

As a Data Engineer, you'll serve as a technical leader responsible for designing, developing, and optimizing enterprise-scale data solutions across Adobe Experience Cloud and modern cloud data platforms.

You'll work with architects, product teams, data scientists, and client stakeholders to transform business requirements into production-ready data solutions that drive customer engagement, analytics, personalization, and activation.

Key Responsibilities

Design and implement data pipelines across Adobe Experience Platform (AEP), Real-Time CDP, cloud data warehouses, and activation channels

Build and manage:

  • XDM schemas
  • Real-Time Customer Profiles
  • Identity resolution frameworks
  • Customer segmentation and audience activation strategies

Develop scalable ingestion, transformation, and enrichment pipelines using:

  • SQL
  • Python
  • dbt
  • Apache Airflow
  • APIs and cloud-native integration tools

Integrate Adobe Experience Platform with:

  • Adobe Journey Optimizer
  • Customer Journey Analytics
  • Adobe Experience Manager
  • Adobe Target
  • Adobe Mixed Modeler

Ensure compliance, governance, consent management, and data quality across all solutions

Partner with architects and stakeholders to deliver scalable, AI-ready customer data ecosystems

Mentor junior engineers and contribute to engineering best practices

What We're Looking ForRequired Experience
  • 2+ years of data engineering experience
  • Experience delivering client-facing data solutions and marketing technology implementations
  • Hands-on experience designing and deploying production-grade data pipelines
  • Strong expertise in Adobe Experience Platform (AEP) and Real-Time CDP
  • Deep SQL expertise including optimization, complex queries, CTEs, and window functions
  • Experience with Python, PySpark, Java, Scala, or similar technologies
  • Experience with data integration, APIs, cloud platforms, and data transformation frameworks
  • Strong understanding of:
    • Data governance
    • Consent management
    • GDPR / CCPA compliance
    • Data lineage and metadata management
Adobe Expertise Required
  • Adobe Experience Platform (AEP)
  • Real-Time CDP
  • Experience Data Model (XDM)
  • Identity Resolution
  • Real-Time Profiles
  • Audience Segmentation & Activation
  • Adobe ecosystem integrations
Additional Cloud Platform Expertise

Deep experience in one or more of the following:

  • Snowflake
  • Databricks
  • Google BigQuery
  • Microsoft Fabric
Preferred Certifications (Highly Desired)

Candidates with the following certifications will stand out:

Adobe Certifications

🏆 Adobe Certified Expert (ACE) - Adobe Experience Platform

🏆 Adobe Certified Expert (ACE) - Real-Time CDP

🏆 Adobe Experience Platform Developer Certification

🏆 Adobe Data Architect Certification

Cloud Certifications

🏆 Snowflake SnowPro Core or Advanced

🏆 Databricks Certified Data Engineer or Lakehouse Associate

🏆 Google Cloud Professional Data Engineer

🏆 AWS Certified Data Analytics Specialty

Bonus Points For
  • Adobe Journey Optimizer experience
  • Customer Journey Analytics experience
  • AI/ML-enabled data solutions
  • GenStudio or Firefly exposure
  • Thought leadership within the Adobe or data engineering community
  • Conference speaking, blogging, or open-source contributions
  • Experience mentoring engineers and leading technical delivery
Why Join Us?

You'll be joining a team that's helping some of the world's leading brands transform customer experiences through data, identity, analytics, AI, and activation.

This isn't a traditional back-office data engineering role. You'll have the opportunity to:

Architect enterprise-scale customer data solutions

Work with cutting-edge Adobe and cloud technologies

Build AI-ready data foundations

Influence platform strategy and engineering best practices

Mentor and develop future engineering talent

Solve complex challenges that directly impact business outcomes

If you're passionate about Adobe Experience Platform, customer data, identity, and modern cloud architecture, we'd love to hear from you.

At dentsu, we believe great work happens when we're connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.

The annual salary range for this position is $94,000 - $155,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

Benefits available with this position include:

Medical, vision, and dental insurance,

Life insurance,

Short-term and long-term disability insurance,

401k,

Flexible paid time off,

At least 15 paid holidays per year,

Paid sick and safe leave, and

Paid parental leave.

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.

To begin the application process, please click on the "Apply" button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.

Location:

USA - Remote - Maryland

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.

Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail toApplicantAccommodations@dentsu.comby clicking on the link to let usknow the nature of your accommodation request and your contact information. We are here to support you.

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