Junior Data Engineer

Capital Technology Group, LLC

Junior Data Engineer responsible for building scalable data pipelines at Capital Technology Group. Collaborating with teams to deliver exceptional data solutions and ensuring system reliability.

Posted 7/13/2026full-timeRemote • New York • 🇺🇸 United StatesJunior💰 $75,000 - $115,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering, focusing on building and maintaining scalable data pipelines and systems using tools like Databricks and AWS. Proficient in implementing infrastructure-as-code with Terraform and mentoring junior engineers while collaborating effectively in agile environments.

Highest-signal resume keywords

Databricks ExpertiseAWS Native ServicesData Pipeline DevelopmentInfrastructure-as-Code with TerraformAgile Software Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSQL (PostgreSQL)PythonJavaData ModelingPerformance OptimizationData IntegrationSystem MaintenanceData PipelinesDbt

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication Skills

Tools & Technologies

AWS (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch)TerraformHarness

Industry Keywords

Data Engineering Best PracticesAgile EnvironmentsCross-Functional Collaboration

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudJavaPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices.
Partner with other Data Engineers to evaluate and prototype new tools and technologies, assessing their risks and benefits to deliver exceptional value to clients.
Ensure reliability, performance, and maintainability of end-to-end data systems.
Implement infrastructure-as-code using Terraform for managing cloud resources.
Mentor junior engineers and conduct code reviews.
Collaborate with cross-functional stakeholders to define data requirements and deliver solutions in agile environments.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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)