
11 - 50 employees
Founded 2010
☁️ SaaS
🔒 Cybersecurity
Technology • SaaS • Cybersecurity
Capital Technology Group is a technology firm that specializes in solving complex business problems through digital services. They offer a range of IT professional services including data integration, custom application development, digital transformation, and information security. Their expertise encompasses modernizing legacy processes, implementing automated DevSecOps pipelines, and using data science techniques to derive actionable insights from big data. The company is particularly focused on serving federal government clients, ensuring high-quality services that enhance operational efficiency.
🕒 May 11
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11 - 50 employees
Founded 2010
☁️ SaaS
🔒 Cybersecurity
Technology • SaaS • Cybersecurity
Capital Technology Group is a technology firm that specializes in solving complex business problems through digital services. They offer a range of IT professional services including data integration, custom application development, digital transformation, and information security. Their expertise encompasses modernizing legacy processes, implementing automated DevSecOps pipelines, and using data science techniques to derive actionable insights from big data. The company is particularly focused on serving federal government clients, ensuring high-quality services that enhance operational efficiency.
• 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, CloudWatch) • 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
• 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.
• Remote Work (Hybrid roles will be specified in the job post) • Competitive Compensation Package • Medical, Dental, and Vision • Life Insurance, Short/Long Term Disability • Employee Assistance Program • 401(k) with 4% matching • Liberal PTO vacation policy • Generous Annual Continuing Education • Annual Wellness Budget • Bonus Incentive Programs (Employee referrals and performance-based rewards)
Apply Now🕒 May 11
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