数据工程师
Data Engineer
我们是谁？
Groundswell 是一家领先的科技集成商和解决方案提供商，致力于解决联邦机构当前面临的最复杂挑战。我们的名字 Groundswell 代表着我们成为政府中不可阻挡、具有深远影响的变革力量的承诺。我们拥有小型公司的文化，却具备大型公司的影响力和成果。你是否准备好大胆、勇敢，并以快速的步伐推动变革？加入我们，一起产生更大的影响。
你将做什么：
Groundswell 正在寻找一位经验丰富的数据工程师，为一个以任务为导向的平台构建安全、可靠的数据能力，该平台连接权威来源、操作数据和分析服务。此职位涉及数据摄取、整合、质量、治理和管道运营。你将通过设计可重复的工作流程，使复杂的数据变得可用且可信，这些流程将保留数据来源、实施访问控制，并支持受控环境中的决策就绪应用和人工智能功能。
你将做什么
- 设计、开发并运行批处理和流式 ETL/ELT 管道，从多个结构化和半结构化数据源将数据摄取到安全的云数据平台。
- 通过定义模式、映射、接口、验证规则、所有权和操作支持流程，将新数据源接入系统。
- 构建自动化数据质量检查，涵盖完整性、准确性、一致性、及时性和参照完整性，并提供可操作的监控和告警机制。
- 创建数据转换和处理工作流，支持操作应用、分析、机器学习以及检索或推理工作流。
- 在整个数据生命周期中保留数据血缘、来源、版本历史、审计追踪和元数据管理，使用户能够了解数据的来源及其变化过程。
- 实施安全的数据实践，包括最小权限访问、加密、密钥管理、隐私保护，以及适用于敏感或机密信息的适当控制措施。
- 开发和维护数据模型、定制数据集和服务接口，为权威信息提供一致且文档齐全的访问方式。
- 使用基础设施即代码、CI/CD、工作流编排和针对不同环境的配置，实现部署和管道操作的自动化。
- 在云平台上优化数据管道，提升可扩展性、弹性、性能和成本效益，包括有效的分区、并行处理和存储策略。
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Who Are We?
Groundswell is a premier technology integrator and solution provider, resolutely committed to solving the most complex challenges facing federal agencies today. Our name, Groundswell, represents our commitment to be an unstoppable, seismic change in government. Ours is a small company culture with big company reach and results. Are you ready to be audacious, be bold and drive change at a rapid pace? Join us, where we’ll make a greater impact together.
What You'll do:
Groundswell is seeking an experienced Data Engineer to build secure, reliable data capabilities for a mission-focused platform that connects authoritative sources, operational data, and analytical services. This role spans data ingestion, integration, quality, governance, and pipeline operations. You will help make complex data usable and trustworthy by designing repeatable workflows that preserve provenance, enforce access controls, and support decision-ready applications and AI-enabled capabilities in controlled environments.
What You'll Do
- Design, develop, andoperatebatch and streaming ETL/ELT pipelines that ingest data from multiple structured and semi-structured sources into secure cloud data platforms.
- Onboard new data sources by defining 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.
- Create data transformations and processing workflows that support operational applications, analytics, machine learning, and retrieval or inference workflows.
- Preserve data lineage, provenance, version history, audit trails, and handling metadata throughout the data lifecycle so users can understand where data came from and how it was changed.
- Implement secure data practices, including least-privilege access, encryption, secrets management, privacy protections, and controlsappropriate forsensitive or classified information.
- Develop andmaintaindata models, curated datasets, and service interfaces that provide consistent, well-documented access to authoritative information.
- Automate deployments and pipeline operations using Infrastructure as Code, CI/CD, workflow orchestration, and environment-specific configuration.
- Optimizedata pipelines for scalability, resiliency, performance, and cost across cloud platforms, including effective partitioning, parallelism, storage, and computeutilization.
- 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.
- Produce maintainable data contracts, architecture documentation, runbooks, test plans, and operational guidance for the broader team.
- Contribute technicalexpertiseto solution planning and proposal efforts involving secure data platforms and AI-enabled mission capabilities.
Required Qualifications
- 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 SQLexpertise, including query optimization, data modeling, joins, window functions, and analysis of large datasets.
- Proficiencyin Python, Java,R, or otherprogramming language used for data engineering.
- Experience with modern data-integration and workflow frameworks such as Apache Airflow, AWS Glue, Spark, or comparable tools.
- Experience with Jupyter Notebook or otherequvialenttools for analyzing data.
- Experience with Python libraries such asnumpy, panda, and other libraries like this.
- Hands-on experience with at least one major cloud provider, with 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 Qualifications
- Experience building preprocessing, chunking, filtering, metadata-enrichment, or evaluation pipelines for LLM and other AI/ML workflows.
- 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.
- Preference given to candidates local to the Washington, DC metro area
Certifications
- AWSData Engineer Certification, Databricks, cloud data engineering, or other relevant professional certification is preferred.
Skills:
Certification:
Why You’ll Never Want to Leave:
- 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
The salary range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for any applicable geographic differential associated with the location at which the position may be filled. At Groundswell, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
$89,886.00 - $175,444.00NOTE: Groundswell does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Groundswell, and Groundswell will not be obligated to pay a placement fee.
Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Read a copy of the Company’s Non-Discrimination Policy Statement.
Additional Resources:
- EO 13496 Notification of Employee Rights under NLRA
- Know your rights: Workplace Discrimination is Illegal
Disability Accessibility Accommodation: If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us at or 703-639-1777.
Originally posted on Himalayas