Data Engineer, GovCon, Public Trust

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Attain Talent

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1 - 10 employés

🎯 Recrutement

🤝 À but non lucratif

📚 Éducation

Recruitment • Non-profit • Education

Attain Talent est une firme de recrutement qui connecte des talents de premier plan avec des organisations à but social dans les secteurs du non-profit, de l'éducation, de la technologie et du gouvernement (GovCon). Ils offrent des services de recrutement complets, y compris le recrutement direct, le recrutement sous contrat, la recherche de cadres et des services de conseil, en mettant l'accent sur une approche stratégique et personnalisée qui fournit rapidement des candidats qualifiés tout en garantissant une expérience robuste tant pour le candidat que pour le client. Avec des décennies d'expérience combinée en recrutement et une expertise sectorielle (EdTech, ERP/CRM, finance, GovCon), ils se concentrent sur l'alignement des talents avec la mission de l'organisation et des pratiques d'embauche inclusives.

Description

• Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models. • Develop and optimize AWS-native data platforms and services. • Build ingestion, transformation, and orchestration workflows for structured and semi-structured data. • Design and optimize analytical data platforms. • Integrate enterprise and external data sources across relational and NoSQL platforms. • Build AI-enabled data solutions using Amazon Bedrock, RAG pipelines, and vector search. • Develop cloud infrastructure, Infrastructure as Code, CI/CD pipelines, and event-driven architectures. • Improve reliability, scalability, performance, and maintainability through monitoring, troubleshooting, automation, and optimization. • Support mission-critical analytics and reporting in AWS-based federal data environments compliant with FedRAMP and NIST 800-53 controls. • Lead modernization migrations from legacy platforms to cloud-native AWS services. • Mentor junior engineers through technical guidance, architecture discussions, and code reviews. • Collaborate with cross-functional Agile teams and communicate technical concepts to technical and non-technical stakeholders.

🎯 Exigences

• Must be a US Citizen; no dual citizenship • Ability to obtain a Public Trust clearance • Bachelor's degree in Computer Science, Engineering, or a related technical field • 4+ years of professional experience in data engineering or related domains • Hands-on experience with Databricks, Apache Spark (PySpark), Python, SQL (PostgreSQL), and dbt • Experience designing, building, and maintaining AWS-native data platforms using AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), AWS Lambda, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, AWS DMS, and Amazon CloudWatch • Experience developing scalable data pipelines, workflow orchestration, and data integration solutions • Experience with Apache Iceberg, Parquet, ORC, and Avro • Experience with PostgreSQL, Redshift, Oracle, GraphDB, and NoSQL platforms • Experience with performance tuning, system optimization, and enterprise-scale ETL/ELT architectures • Java development and modern CI/CD practices using Harness • 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 • Nice-to-have: experience with regulated environments, Kafka, Docker, Kubernetes, Splunk, Terraform, and advanced SQL performance tuning

🏖️ 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 (Employee referrals and performance-based rewards) • Annual discretionary bonus