AIS (Applied Information Sciences)
Infrastructure Engineer
Vaga remota de Data Engineering com fit claro de localização do candidato.
Publicada18 de jun. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Infrastructure Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Why AIS?
- Employee Ownership: Your contributions directly impact the company’s success, and you share in its achievements.
- Continuous Learning: Access to resources, training, and mentorship to support your professional growth.
- Inclusive Culture: A workplace where diversity is celebrated, and everyone’s voice is valued.
- Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.
Working@AIS
- Core Knowledge & Skills: Optimizes complex SQL; applies advanced data modeling; leads robust ETL/ELT; uses big data technologies (e.g., Spark); enforces governance; implements ML/predictive solutions; manages scalable pipelines.
- Work & Complexity: Solves high-complexity integration and performance challenges; runs multiple projects; delivers custom analytics solutions and automation for scale.
- Quality & Independence: Sets benchmarks for data quality; drives continuous improvement; makes significant technical decisions with minimal oversight.
- Teamwork & Communication: Leads cross-functional work; mentors engineers; communicates complex insights to senior leaders; integrates multi-stakeholder feedback.
- Consulting & Engagement: Provides strategic consultation, leads client interactions, and advances consulting best practices.
Key Responsibilities
- Develop and deploy software into production in government environments.
- Set up data validation steps.
- Establish and maintain schemas.
Required For This Opportunity
- Bachelor’s Degree in Computer Science (or closely related degree).
- At least 5+ years of experience in Data Engineering.
- Must have experience with Python, pandas, pandera, SQL, Postgres, Databricks, and Spark.
- Must have a strong Python background.
- Must have strong experience working with messy data, disparate data sources, establishing and maintaining schemas, and setting up data validation steps.
- Must be comfortable working with large data workflows (100GB+).
- Must have an Active Secret Clearance.
Nice to Have Skills
- A related certification is preferred but not required.
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