Data Engineer

Vaga não está no LinkedIn

🕒 Setembro 14

🦀 Maryland, Virginia – Remoto

🦀 Maryland – Remote ⚔️ Virginia – Remote

💵 $89.886 - $175.444 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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Groundswell

SiteLinkedInTodas as Vagas

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

• Build secure, reliable data capabilities for a mission-focused platform connecting authoritative sources, operational data, and analytical services • Design, develop, and operate batch and streaming ETL/ELT pipelines from structured and semi-structured sources into secure cloud data platforms • Onboard data sources by defining schemas, mappings, interfaces, validation rules, ownership, and operational support procedures • Build automated data-quality checks with monitoring and alerting • Create data transformations and processing workflows for operational applications, analytics, machine learning, and retrieval or inference workflows • Preserve data lineage, provenance, version history, audit trails, and handling metadata • Implement secure data practices including least-privilege access, encryption, secrets management, privacy protections, and controls for sensitive or classified information • Develop and maintain data models, curated datasets, and service interfaces for authoritative information • Automate deployments and pipeline operations using Infrastructure as Code, CI/CD, workflow orchestration, and environment-specific configuration • Optimize pipelines for scalability, resiliency, performance, and cost across cloud platforms • Troubleshoot failures across distributed data systems using logs, metrics, lineage, and operational signals; communicate root causes and recovery plans • Collaborate with software engineers, cloud engineers, data scientists, security teams, architects, and customer stakeholders to translate mission needs into measurable data products • Produce data contracts, architecture documentation, runbooks, test plans, and operational guidance • Contribute technical expertise to solution planning and proposal efforts involving secure data platforms and AI-enabled mission capabilities

🎯 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 • Strong SQL expertise, including query optimization, data modeling, joins, window functions, and analysis of large datasets • Proficiency in Python, Java, R, or another programming language used for data engineering • Experience with Apache Airflow, AWS Glue, Spark, or comparable data-integration and workflow tools • Experience with Jupyter Notebook or equivalent tools for analyzing data • Experience with Python libraries such as numpy and panda • Hands-on experience with at least one major cloud provider; AWS experience strongly preferred • 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 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 • Extra consideration given to those with C3.ai experience • Active Public Trust Clearance preferred • AWS Data Engineer Certification, Databricks, cloud data engineering, or other relevant professional certification preferred • Preference given to candidates local to the Washington, DC metro area

🏖️ 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