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Junior Data Engineer

54 minutes ago
United States
Full-time
Junior
Data Engineer
Software Development
Agile Apache Airflow Apache Spark AWS Databricks dbt Docker Java Kafka Kubernetes Oracle PostgreSQL Python Splunk SQL Terraform
Apply Now
Capital Technology Group

Capital Technology Group

Capital Technology Group offers technical leadership and expert consulting services for enterprise architecture, application integration, custom development, big data, and search. With a focus on solving business problems through technology, CTG ensure...

Internet Software & Services
51-250
Founded 2010
View All Jobs 5

Description

  • Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models.
  • Develop and optimize AWS-native data solutions using services such as Glue, EMR, MWAA, Lambda, Step Functions, S3, Redshift, RDS, DMS, and CloudWatch.
  • Build high-performance ingestion, transformation, and orchestration workflows for structured and semi-structured data.
  • Integrate data from enterprise and external sources, including relational and NoSQL databases.
  • Improve data platform reliability, scalability, performance, and maintainability through monitoring, troubleshooting, and optimization.
  • Develop and maintain automated deployment pipelines using Harness.
  • Support analytics, reporting, and decision-making across large-scale federal data environments.
  • Collaborate with cross-functional teams in an Agile environment to define requirements and improve engineering processes.
  • Evaluate and prototype new tools and technologies with other Data Engineers.

Requirements

  • Must be a US Citizen and able to obtain Public Trust clearance.
  • 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 and ETL/ELT development.
  • Strong proficiency with dbt, SQL (PostgreSQL), Python, Java, and AWS services including Redshift, RDS, S3, Glue, Lambda, DMS, and CloudWatch.
  • Experience with AWS-native data solutions.
  • 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.
  • Experience with Kafka (preferred).
  • Experience with Docker and Kubernetes (preferred).
  • Proficiency with Splunk (preferred).
  • Experience using Terraform (preferred).
  • Strong SQL skills, including performance tuning and complex query design (preferred).

Benefits

  • Remote work with hybrid roles specified in the job post.
  • Competitive compensation package with an estimated salary range of $75k to $115k annually.
  • Medical, dental, and vision coverage.
  • Life insurance plus short- and long-term disability coverage.
  • Employee Assistance Program.
  • 401(k) with 4% matching.
  • Liberal PTO vacation policy.
  • Generous annual continuing education support.
  • Annual wellness budget.
  • Bonus incentive programs for employee referrals and performance-based rewards.

Interested in this position?

Apply directly on the company website

Apply Now

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