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Entry-Level Data Engineer (Data Pipelines & AI Integration)

Tech Consulting • United State
Relocation
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AI Summary

Join Tech Consulting as an Entry-Level Data Engineer to build scalable data solutions, design AI-driven pipelines, and optimize data workflows. Collaborate with cross-functional teams to develop end-to-end data systems while supporting machine learning initiatives. Requires 1–4 years of experience in data engineering, Python, and SQL with a willingness to relocate.

Key Highlights
Develop and maintain data engineering solutions with Python and SQL for AI-driven initiatives
Design end-to-end data pipelines and workflows for scalable data processing
Collaborate with stakeholders to analyze and transform structured/unstructured data
Key Responsibilities
Develop, test, and maintain data engineering and AI solutions using Python
Design and support end-to-end data pipelines and workflows for scalable data processing
Collaborate with developers, data engineers, and business stakeholders to understand and implement requirements
Technical Skills Required
Python SQL Data Engineering
Benefits & Perks
Relocation assistance within the United States
Nice to Have
Experience with cloud platforms (AWS, Azure, Databricks)
Knowledge of PySpark, AWS S3, Lambda, EC2, Airflow, or GCP
Familiarity with Machine Learning, Generative AI, or Computer Vision

Job Description


Job Title: Entry-level Data Engineer

Full-Time

Candidate must be open to relocate.


We are seeking a motivated Data Scientist 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.


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.


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.


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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