Junior Data Engineer

Remotefull timeRemote

Apply on Employer Site

entry

$75k–$115k

H1B: no

Capitaltg Junior Data Engineer at Capital Technology Group to design, build, and maintain scalable data pipelines and systems using modern data engineering best practices. Collaborate with other Data Engineers to evaluate and prototype new tools and technologies for federal clients.

Responsibilities

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

Qualification

A strong communicatorCollaborativeBachelor's degree in Computer ScienceStrong hands-on experience withStrong proficiency with DbtExperience working in agileStrong SQL skillsFull Time Employee Benefits

Required

A strategic data engineer who enjoys designing complex systems and solving complex challenges
Strong in modern cloud-based solution design
Comfortable balancing business needs with technical constraints and long-term strategy
A strong communicator
Collaborative, proactive, and comfortable navigating ambiguity
Bachelor's degree in Computer Science, Engineering, or a related technical field
5 years of professional experience in data engineering or related domains
Strong hands-on experience with:
Deep hands-on experience with Databricks for large-scale data engineering, ETL/ELT development, and data transformation.
Strong proficiency with Dbt, SQL (PostgreSQL), Python, Java, 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

Preferred

Experience with Kafka (streaming/data pipelines)
Experience with Docker and Kubernetes for containerization and orchestration
Proficiency with Splunk for log aggregation and system monitoring
Experience using Terraform for infrastructure automation and management
Strong SQL skills, including performance tuning and complex query design
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.
Full Time Employee Benefits
Remote Work (Hybrid roles will be specified in the job post)