Capital Technology Group

software development, digital transformation, data analytics and visualization, cybersecurity

PrincipalDataEngineer

$170–240k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Principal Data Engineer at Capital Technology Group. Skills: Data Engineering, Databricks, AWS, Python, Java, SQL, Terraform, dbt. 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”

What You'll Achieve.

rapidly and incrementally deliver value in close collaboration with our clients; support high-impact, civic tech within the federal government; deliver solutions in agile environments

Industry & Context.

software development, digital transformation, data analytics and visualization, cybersecurity
Problems you'll solve

analytical and problem-solving skills

Eligibility Requirements

MUST BE US Citizens, able to obtain Public Trust clearance

What They're Looking For.

Must Have

US Citizens, obtain Public Trust clearance, Bachelor's degree in Computer Science, Engineering, or a related technical field, 10+ years of professional experience in data engineering or related domains, 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, 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

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, SQL skills, including performance tuning and complex query design

What You'll Do.

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

Develop robust data solutions leveraging AWS services (Redshift

Implement data transformations and integrations using Python and Java

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

leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts

analyzes and communicates the benefits and risks in implementing solutions using the new technologies

lead teams to support the adoption of new technologies across the enterprise

provides technical leadership by supervising and mentoring junior members of the team

How You'll Work.

Team & Collaboration

Collaborate with cross-functional stakeholders to define data requirements and deliver solutions in agile environments; lead teams to support the adoption of new technologies across the enterprise; supervising and mentoring junior members of the team

Communication Scope

Clearly communicate technical topics to both technical and non-technical audiences; Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences

Process & Methodology

agile environments

Full Job Description

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. Description Capital Technology Group (CTG) is on a mission to modernize and innovate the way the federal government delivers software. We are passionate about our work, dedicated to our clients, and committed to a culture of continuous learning and growth. For this role specifically, we are seeking an individual to help support high-impact, civic tech within the federal government. As an integral part of the program, the Data Engineer leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts, analyzes and communicates the benefits and risks in implementing solutions using the new technologies, lead teams to support the adoption of new technologies across the enterprise, and provides technical leadership by supervising and mentoring junior members of the team. Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance 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) Develop robust data solutions leveraging AWS services (Redshift, RDS, S3, Glue, Lambda, DMS, Clou

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