Junior Data Engineer

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Capital Technology Group, LLC

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11 - 50 employés

Fondée en 2010

💼 Conseil

📦 Logistique

🎖️ Défense

Consulting • Logistics • Defense

Capital Technology Group est une entreprise technologique spécialisée dans la résolution de problèmes commerciaux complexes grâce à des services numériques. Elle propose une gamme de services professionnels IT, notamment l'intégration de données, le développement d'applications personnalisées, la transformation numérique et la sécurité de l'information. Son expertise inclut la modernisation des processus hérités, la mise en œuvre de pipelines DevSecOps automatisés et l'utilisation de techniques de science des données pour obtenir des insights exploitables à partir des mégadonnées. L'entreprise se concentre particulièrement sur le service aux clients du gouvernement fédéral, en garantissant des services de haute qualité qui améliorent l'efficacité opérationnelle.

Description

• Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Databricks, dbt, Apache Spark (PySpark), SQL (PostgreSQL), and Python. • Develop and optimize AWS-native data solutions leveraging services including AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and CloudWatch. • Build high-performance data ingestion, transformation, and orchestration workflows across structured and semi-structured data using Parquet, ORC, Avro, and Apache Iceberg. • Integrate data from enterprise and external sources, including relational and NoSQL databases such as PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL platforms. • Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, and continuous optimization. • Develop and maintain automated deployment pipelines using Harness and collaborate on cloud infrastructure and platform improvements. • Support data engineering efforts powering mission-critical analytics, reporting, and decision-making across large-scale federal data environments. • Collaborate with cross-functional teams in an Agile environment to define requirements, deliver high-quality data solutions, and continuously improve engineering processes.

🎯 Exigences

• Bachelor's degree in Computer Science, Engineering, or a related technical field • 5 years of professional experience in data engineering or related domains • Strong hands-on experience with: Databricks for large-scale data engineering, ETL/ELT development, and data transformation. • Strong proficiency with Dbt, SQL (PostgreSQL), Python, Java, AWS (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch), Data Pipelines, Data Modeling, System Maintenance, Data Integration, Performance Optimization. • AWS native. • 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.

🏖️ Avantages

• Remote Work • 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