We are hiring an Entry-Level Data Engineer to develop scalable data solutions, build AI-driven pipelines, and support machine learning initiatives. The role involves writing Python and SQL, designing data workflows, and collaborating with cross-functional teams. Candidates with 1–4 years of experience in data engineering, analytics, or AI are encouraged to apply.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Job Title: Entry-level Software Engineer
Full-Time
Candidate must be open to relocate.
We are seeking a motivated Software Engineer with a strong interest in data engineering, machine learning, and analytics. The ideal candidate will assist in developing scalable data solutions, building data pipelines, analyzing data, and supporting AI-driven initiatives. This role is ideal for candidates with 1–4 years of experience who are eager to build their careers in data engineering and artificial intelligence.
Key Responsibilities
- Develop, test, and maintain data engineering and AI solutions using Python.
- Write, optimize, and maintain SQL queries for data extraction, transformation, and analysis.
- Design and support end-to-end data pipelines and workflows.
- Collect, clean, transform, and analyze structured and unstructured data.
- Collaborate with developers, data engineers, analysts, and business stakeholders to understand requirements.
- Support the development of machine learning and AI solutions.
- Automate repetitive data processing tasks using Python.
- Troubleshoot and resolve data pipeline and database-related issues.
- Document technical solutions, workflows, and development processes.
- Stay updated with emerging technologies and industry best practices.
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Required Skills
- 1–4 years of experience in Data Engineering, Data Analytics, Machine Learning, or AI Engineering.
- Strong proficiency in Python programming.
- Good understanding of SQL and relational databases.
- Experience developing end-to-end data solutions.
- Knowledge of data processing, ETL concepts, and data transformation techniques.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
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Preferred Skills
- Experience with one or more cloud platforms such as AWS, Azure, or Databricks.
- Knowledge of PySpark, AWS S3, Lambda, EC2, Airflow, or GCP.
- Familiarity with Machine Learning, Generative AI, or Computer Vision.
- Understanding of probability and statistical concepts.
- Experience with GitLab or other version control systems.
- Knowledge of R Programming is a plus.
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Qualifications
- Bachelor's Degree in Computer Science, Information Systems, Mathematics, or a related quantitative field.
- A relevant Master's degree is a plus.
- Strong written and verbal English communication skills.
- Must be willing to relocate anywhere within the United States for onsite client projects.
Thank you
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