Data Engineer – Legacy Systems, AI Workflows

🕒 Setembro 25

🦀 Maryland, Virginia – Remoto

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💵 $89.886 - $175.444 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 0%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Groundswell

201 - 500 funcionários

💼 Consultoria

📦 Logística

🎖️ Defesa

Consulting • Logistics • Defense

A Groundswell é uma parceira líder em tecnologia para agências federais, especializada em proporcionar soluções inovadoras para modernização e eficiência. Com especialização em plataformas como Appian, SAP, Workday e UiPath, a Groundswell foca em capacitar agências federais com desenvolvimento low-code, ERP avançado e tecnologias de automação. A empresa colabora com organizações federais para melhorar estratégias de recrutamento, gerenciar transporte de defesa e otimizar a gestão de projetos. A missão da Groundswell é desafiar a abordagem tradicional de contratação governamental, oferecendo soluções tecnológicas de ponta, ágeis e personalizadas para ajudar as agências federais a atingirem seus objetivos.

Descrição

• Design, develop, and operate batch and streaming ETL/ELT pipelines that ingest data from multiple structured and semi-structured sources into secure cloud data platforms • Onboard legacy data sources by reviewing schemas, mappings, interfaces, validation rules, ownership, and operational support procedures • Build automated data-quality checks for completeness, accuracy, consistency, timeliness, and referential integrity, with actionable monitoring and alerting • Automate deployments and pipeline operations using SOAP APIs, workflow orchestration, and environment-specific configurations • Troubleshoot failures across distributed data systems using logs, metrics, lineage, and operational signals; communicate root causes and recovery plans clearly • Collaborate with software engineers, cloud engineers, data scientists, security teams, architects, and customer stakeholders to translate mission needs into measurable data products

🎯 Requisitos

• Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field • 5+ years of professional data engineering experience, including production pipeline development and operations • Proficiency in Python, Java, R, or other programming language used for data engineering • Experience with legacy systems that utilize SOAP APIs for data interaction • Experience implementing data-quality frameworks, validation processes, monitoring, and alerting for production pipelines • Working knowledge of data security, access controls, encryption, auditability, and governance in a regulated, restricted, or compliance-oriented environment • Experience working with APIs (SOAP/REST) and structured data formats such as JSON, XML, CSV, and Parquet • Ability to document technical decisions and collaborate with multidisciplinary teams and customer stakeholders • Must be a U.S. Citizen per contract requirements • Must be able to obtain and maintain a Public Trust Clearance in accordance with contract requirements • Preferred: experience building preprocessing, chunking, filtering, metadata-enrichment, or evaluation pipelines for LLM and other AI/ML workflows • Preferred: experience operating data platforms with segmented networks, limited connectivity, strict change control, or formal authorization requirements • Preferred: strong SQL expertise, including query optimization, data modeling, joins, window functions, and analysis of large datasets • Preferred: experience with Jupyter Notebook or equivalent tools for analyzing data • Preferred: experience with Python libraries such as numpy and pandas • Preferred: hands-on experience with at least one major cloud provider; AWS strongly preferred • Preferred: C3.ai experience • Active Public Trust Clearance preferred • Preference given to candidates local to the Washington, DC metro area • AWS Data Engineer Certification, Databricks, cloud data engineering, or other relevant professional certification preferred

🏖️ Benefícios

• Comprehensive medical, dental, and vision plans • Flexible Spending Account • 4% 401K Match (immediate vesting) • Paid Time Off • Tuition reimbursement, certification programs, and professional development • Flexible work schedule • On-site gym and childcare option

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