Data Engineer

Data Engineer

Big Data & AI Bootcamp
· Atlanta, GA
· Full-Time W2 Employment

Stop waiting for the right opportunity. In 9 weeks, go from data-aware developer to a fully deployed Data Engineer - paid from day one, trained on real tools, and placed on Fortune 1000 client projects.

• Have 1+ year of professional coding experience
  - Python and SQL used regularly at work
• Understand data at a technical level - queries, schemas, pipelines, not just dashboards
• Know OOP concepts and can write structured, maintainable code
• Have exposure to cloud platforms or big data tooling - even at a basic level
• Are ready to go deep on AI/ML engineering, not just learn the buzzwords
• Are willing to relocate to Atlanta, GA for training and to client sites for project assignments

From day one of training, you are a full-time W2 employee. Not a student. Not an intern. A Data Engineer.

• Full-time W2 salary from day one
• Health, dental & vision insurance
• Corporate housing & relocation covered
• 401(k) eligibility after one year
• Fortune 1000 client exposure
• Dedicated support team & mentorship
• Performance bonuses
• 25+ years of placement expertise behind you

• Data engineering & big data
  • Apache Spark, Hadoop, Hive, Kafka & Airflow pipelines
  • Snowflake, Big Query, and modern cloud data warehousing
  • ETL/ELT pipeline design, orchestration, and optimization
  • Batch and real-time streaming data architectures
  • Data modeling, schema design, and governance best practices
  • Docker, Kubernetes, and containerized data workflows
• Cloud platforms & AI tooling
  • AWS, Azure, and GCP - data and ML services
  • CI/CD pipelines and Dev Ops for data engineering
  • No
    
    SQL databases:
    MongoDB, Cassandra, and DynamoDB
  • Data security, GDPR, HIPAA, and compliance requirements
  • AI-assisted development with Git Hub Copilot & Claude AI
  • Agile, Scrum, and enterprise delivery workflows

We review every resume carefully. Here is exactly what we look for - the more clearly your resume demonstrates these skills, the faster you will move through our process.

• Python: 1+ year of Python as a core part of your job - scripts, pipelines, automation, or data processing
• SQL:
  Proficient SQL - JOINs, aggregations, subqueries, and working with real databases professionally
• Data:
  Hands-on data wrangling experience - cleaning, transforming, and handling messy real-world datasets
• Git:
  Git version control in a team environment - branching, pull requests, and collaborative workflows
• APIs: REST API experience in Python - hitting endpoints, parsing JSON, handling authentication
• OOP:
  Solid understanding of OOP - classes, inheritance, interfaces used in real production code
• Stats:
  Basic statistics - distributions, mean/median/std dev, and understanding what data is telling you
• Location:
  
  Willingness to relocate to Atlanta, GA for training and travel to client sites for project placements

• Big data tooling exposure:
  Spark, Kafka, Airflow, Hadoop, Hive, or Flink
• Cloud platform experience: AWS, Azure, or GCP - especially data or storage services
• Data warehouse or BI tool experience:
  Snowflake, Big Query, Tableau, or Power BI
• No
  
  SQL database experience:
  MongoDB, Cassandra, DynamoDB, or similar
• Dev Ops basics: CI/CD pipelines, Docker, or containerized data environments
• Active Git Hub profile with Python scripts, ETL projects, or data pipeline work
• Familiarity with data governance, GDPR, HIPAA, or security compliance requirements

• Bachelor's degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field
• Strong candidates from non-traditional backgrounds with demonstrable Python and data engineering experience are also considered

Data engineering is one of the most in-demand specializations in tech right now - and most companies can’t hire fast enough.

Most developers spend years slowly picking up data engineering skills between projects, side reading, and online courses. This program…