Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity.
Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services. #### Responsibilities
Design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices
Evaluate and prototype new tools and technologies, assessing their risks and benefits
Build and maintain scalable data pipelines and models using Databricks, dbt, and SQL (PostgreSQL)
Implement data transformations and integrations using Python and Java
Ensure reliability, performance, and maintainability of end-to-end data systems
Implement infrastructure-as-code using Terraform for managing cloud resources
Monitor and optimize system health and performance using CloudWatch and Splunk
Mentor junior engineers and code reviews
Clearly communicate technical topics to both technical and non-technical audiences
Collaborate with cross-functional stakeholders to define data requirements and deliver solutions in agile environments
Requirements
Bachelor's degree in Computer Science, Engineering, or a related technical field
10+ years of professional experience in data engineering or related domains
Strong hands-on experience with:
Databricks (deep expertise required)
AWS native
Dbt, SQL (PostgreSQL), Python, Java, AWS (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch), Data Pipelines, Data Modeling, System Maintenance, Data Integration, Performance Optimization
Proven leadership experience in technical teams
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, with the ability to explain complex topics to diverse audiences
Nice to Have Skills
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
Salary Range
We are committed to offering a competitive salary for this position, with an estimated range of $170k to $240k 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.
