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

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

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