Data Engineer

🔥 9 hours ago

🦀 Maryland, Virginia – Remote

🦀 Maryland – Remote ⚔️ Virginia – Remote

💵 $89.9k - $175.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Groundswell

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

🎖️ Defense

Consulting • Logistics • Defense

Groundswell is a leading technology partner for federal agencies, specializing in delivering innovative solutions for modernization and efficiency. With expertise in platforms like Appian, SAP, Workday, and UiPath, Groundswell focuses on empowering federal agencies with low-code development, advanced ERP, and automation technologies. The company partners with federal organizations to enhance recruitment strategies, manage defense transportation, and optimize project management. Groundswell's mission is to challenge the traditional government contracting approach by offering cutting-edge, agile, and tailored technology solutions to help federal agencies meet their goals.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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