Remote Junior Data Engineer: Cloud Data Pipelines & ETL

Capital-Technology-Group; Silver Spring (MD); Hybrid; USD 75,000 - 115,000; Full time

Benefits offered by this job

Medical, Dental, and Vision

401(k) with 4% matching

Liberal PTO vacation policy

Generous Continuing Education

Annual Wellness Budget

Bonus Incentive Programs

Job summary

Capital Technology Group is seeking a Junior Data Engineer to design, build, and maintain scalable 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 risks and delivering value to our clients.

At CTG, you will work with Databricks, dbt, Spark, SQL, Python, Java, and AWS to build robust data platforms, supporting mission-critical analytics

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 5 years of professional experience in data engineering or related domains.
• Deep hands-on experience with Databricks for large-scale data engineering, ETL/ELT development.
• Strong proficiency with Dbt, SQL (PostgreSQL), Python, Java, AWS, data pipelines, data modeling, data integration, and performance optimization.
• AWS native.

Responsibilities

• Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Databricks, dbt, Spark, SQL, and Python.
• Develop and optimize AWS-native data solutions leveraging Glue, EMR, MWAA, Lambda, Step Functions, S3, Redshift, RDS, DMS, and CloudWatch.
• Build high-performance data ingestion, transformation, and orchestration workflows across structured and semi-structured data.
• Integrate data from enterprise and external sources, including PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL platforms.
• Improve reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring and optimization.
• Develop and maintain automated deployment pipelines using Harness and collaborate on cloud infrastructure improvements.
• Support data engineering efforts powering mission-critical analytics and decision-making across large-scale federal data environments.
• Collaborate with cross-functional teams in an Agile environment to define requirements and deliver high-quality data solutions.

Skills

Databricks

Dbt

SQL (PostgreSQL)

Python

Java

AWS

Data Pipelines

Data Modeling

Data Integration

Agile

Kafka

Docker

Kubernetes

Terraform

Education

Bachelor's degree in Computer Science, Engineering, or a related technical field

Tools

Apache Spark (PySpark)

AWS Glue

Amazon EMR

Amazon MWAA

Redshift

RDS

S3

DMS

CloudWatch

Harness

Job description

Capital Technology Group is seeking a Junior Data Engineer to design, build, and maintain scalable 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 risks and delivering value to our clients.

At CTG, you will work with Databricks, dbt, Spark, SQL, Python, Java, and AWS to build robust data platforms, supporting mission-critical analytics