Senior Data Engineer

Capital Technology Group

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

Capital Technology Group (CTG) provides expert consulting services in software development, digital transformation, human-centered design, data analytics, and cybersecurity. They are dedicated to modernizing how the federal government delivers software through agile methodologies and multidisciplinary teams.

Responsibilities

  • Design, build, and maintain scalable, efficient data pipelines and systems
  • Evaluate and prototype new tools and technologies, assessing risks and benefits
  • Build and maintain scalable data pipelines and models using Databricks, dbt, and SQL
  • Develop robust data solutions leveraging AWS services including Redshift, RDS, S3, Glue, Lambda, DMS, and CloudWatch
  • Implement data transformations and integrations using Python and Java
  • Implement infrastructure-as-code using Terraform
  • Monitor and optimize system health using CloudWatch and Splunk
  • Mentor junior engineers and conduct code reviews
  • Collaborate with cross-functional stakeholders in agile environments

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 7+ years of professional experience in data engineering
  • Deep expertise in Databricks
  • Strong experience with AWS native services
  • Proficiency in dbt, SQL (PostgreSQL), Python, and Java
  • Proven leadership experience in technical teams
  • Must be a US Citizen and able to obtain Public Trust clearance

Preferred Qualifications

  • Experience with Kafka for streaming and data pipelines
  • Experience with Docker and Kubernetes
  • Proficiency with Splunk for log aggregation
  • Experience using Terraform for infrastructure automation
  • Advanced SQL skills including performance tuning

Skills & tools

DatabricksAWSPythonSQLTerraform

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Bachelor's degree in Computer Science or Engineering
  2. 027+ years of data engineering experience
  3. 03Deep expertise in Databricks
  4. 04Strong AWS experience
  5. 05Proficiency in Python, Java, and SQL
  6. 06US Citizenship required
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