Data Engineer, GovCon, Public Trust

🕒 August 4

🇺🇸 United States – Remote

💵 $110k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Logo of Attain Talent

Attain Talent

1 - 10 employees

🎯 Recruiter

🤝 Non-profit

📚 Education

Recruitment • Non-profit • Education

Attain Talent is a recruiting firm that connects top-tier talent with mission-driven organizations across the nonprofit, education, technology, and government (GovCon) sectors. They offer full-cycle recruiting services including direct-hire, contract recruiting, executive search, and advisory services, emphasizing a high-touch, strategic approach that delivers qualified candidates quickly while ensuring a strong candidate and client experience. With decades of combined recruiting experience and sector expertise (EdTech, ERP/CRM, finance, GovCon), they focus on aligning talent to organizational mission and inclusive hiring practices.

📋 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.

🎯 Requirements

• 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

🏖️ Benefits

• 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

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