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Job Requirements of Entry Level Data Engineer:
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Build and maintain data pipelines for collecting, processing, and storing large datasets from various sources.
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Assist in designing and implementing ETL (Extract, Transform, Load) processes to move and transform data efficiently.
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Support the development of data models, schemas, and data architecture under the guidance of senior engineers.
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Work with structured and unstructured data using tools like SQL, Python, Spark, or Pandas.
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Collaborate with data analysts, data scientists, and software engineers to ensure data accuracy, availability, and usability.
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Assist in monitoring data workflows and resolving data quality issues or pipeline failures.
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Participate in code reviews, technical discussions, and team meetings to learn best practices and contribute to ongoing projects.
-
Document data flows, processes, and pipeline configurations for internal use and future scaling.
-
Contribute to the team’s data governance efforts by helping maintain clean, secure, and well-organized datasets.
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Stay current with evolving tools, technologies, and industry best practices related to data engineering.
Do you meet the requirements for this job?
Entry Level Data Engineer
To apply, please submit a formal application through our website:
Please note: Applications submitted through this job posting will not be reviewed. You must apply via our site.
Important: This role requires willingness to relocate anywhere in the United States.
Are you ready to break into the tech industry or take your technical skills to the next level? Dev10 provides a path for individuals who have a foundation in technical skills or professional experience and are eager to continue growing. Whether you’ve earned a technical degree, gained hands-on programming experience, or worked professionally in industries like finance, healthcare, or insurance – Dev10 is your opportunity to upskill and launch a career in Data Engineering.
Dev10 provides a pathway for motivated learners to gain real-world experience while developing technical skills through immersive training. Whether you're growing your existing programming knowledge or starting to build those skills for the first time, Dev10 equips you with the tools to succeed. You'll train in technologies including Relational and Non-Relational Databases, APIs, Python, Pandas, Excel, Dash, Kafka, Airflow, Apache Spark, and Machine Learning.
Now hiring for our Data Engineer cohort starting Monday, December 1, 2025.
To apply, please submit a formal application through our website:
What We Require
- Willingness to relocate anywhere in the continental United States
- Authorization to work in the United States without current or future visa sponsorship
- Bachelor’s degree
- Programming experience (minimum 6 months), shown on your resume, from academic coursework, hands-on projects, or professional work. Experience must be in one or more of the following languages: Java, Python, C, C#, C++, JavaScript, R, SQL, MATLAB, Mathematica, TypeScript, Shell scripting, Go, or Kotlin.
- Plus one of the following, clearly listed on your resume:
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- A recent STEM degree (e.g., Computer Science, Information Technology, Engineering, or a related discipline)
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- OR 12+ months of professional work experience in finance, healthcare, banking, insurance, hospitality, or aviation
What We Look For
- Passion for learning and interest in Data Engineering
- Strong logic and reasoning skills
- Clear communication and collaboration abilities
- Team-oriented mindset
What We Offer
- Paid training (3-4 months) to build technical skills needed from the ground up – $600/week
- Mentorship and instruction from Senior Engineers in an immersive, hands-on environment
- $2,500 relocation assistance
- Two years of client project experience
- Hourly pay rate of $24.04 (~$50k annually) or $28.85 (~$60k annually) depending on assigned location
- Dev10 Manager to help you navigate corporate culture and support your growth
- Comprehensive benefits: health, vision, dental, 401(k), and paid time off
Curious if a career in Data Engineering is right for you?
Let’s explore this career path together!
To apply, please submit a formal application through our website:
Please note: Applications submitted through this job posting will not be reviewed. You must apply via our site.
For more information on Dev10, check out our website at
Job Requirements:
-
Build and maintain data pipelines for collecting, processing, and storing large datasets from various sources.
-
Assist in designing and implementing ETL (Extract, Transform, Load) processes to move and transform data efficiently.
-
Support the development of data models, schemas, and data architecture under the guidance of senior engineers.
-
Work with structured and unstructured data using tools like SQL, Python, Spark, or Pandas.
-
Collaborate with data analysts, data scientists, and software engineers to ensure data accuracy, availability, and usability.
-
Assist in monitoring data workflows and resolving data quality issues or pipeline failures.
-
Participate in code reviews, technical discussions, and team meetings to learn best practices and contribute to ongoing projects.
-
Document data flows, processes, and pipeline configurations for internal use and future scaling.
-
Contribute to the team’s data governance efforts by helping maintain clean, secure, and well-organized datasets.
-
Stay current with evolving tools, technologies, and industry best practices related to data engineering.