Junior Data Engineer

About the role

CTG is seeking a Junior Data Engineer to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. The Junior Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and technologies, assessing their risks and benefits to deliver exceptional value to our clients.

Responsibilities

• Develop robust data solutions leveraging AWS services (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch)
• Implement data transformations and integrations using Python and Java
• Ensure reliability, performance, and maintainability of end-to-end data systems
• Implement infrastructure-as-code using Terraform for managing cloud resources
• Monitor and optimize system health and performance using CloudWatch and Splunk
• Mentor junior engineers and code reviews
• Clearly communicate technical topics to both technical and non-technical audiences
• Collaborate with cross-functional stakeholders to define data requirements and deliver solutions in agile environments

Requirements

• A Bachelor's degree in Computer Science, Engineering, or a related technical field
• 1+ years of professional experience in data engineering or related domains
• Strong hands-on experience with:
• Databricks (deep expertise required)
• AWS native
• Dbt, SQL (PostgreSQL), Python, Java, Harness, AWS (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch), Data Pipelines, Data Modeling, System Maintenance, Data Integration, Performance Optimization
• Strong analytical and problem-solving skills
• Experience working in agile, iterative software development environments
• Ability to quickly learn and apply new technologies and domain knowledge
• Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field
• 1+ years of professional experience in data engineering or related domains
• Strong hands-on experience with:
• Databricks (deep expertise required)
• AWS native
• Dbt, SQL (PostgreSQL), Python, Java, Harness, AWS (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch), Data Pipelines, Data Modeling, System Maintenance, Data Integration, Performance Optimization
• Strong analytical and problem-solving skills
• Experience working in agile, iterative software development environments
• Ability to quickly learn and apply new technologies and domain knowledge
• Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences

Skills

• Strategic data engineering
• Modern cloud-based solution design
• Business needs balancing
• Technical constraints and long-term strategy alignment
• Collaboration and proactive approach
• Navigating ambiguity

Benefits

Full Time Employee Benefits
Remote Work (Hybrid roles will be specified in the job post)
Competitive Compensation Package
Medical, Dental, and Vision
Life Insurance, Short/Long Term Disability
Employee Assistance Program
401(k) with 4% matching
Liberal PTO vacation policy
Generous Annual Continuing Education
Annual Wellness Budget
Bonus Incentive Programs (Employee referrals and performance-based rewards)

Pay

We are committed to offering a competitive salary for this position, with an estimated range of $75k to $115k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change.