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About the Role
Groundswell is seeking an experienced Data Engineer to build secure, reliable data capabilities for a mission-focused platform. This role involves data ingestion, integration, quality, governance, and pipeline operations, making complex data usable and trustworthy for decision-ready applications and AI-enabled capabilities.
Responsibilities
- 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 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.
- Implement secure data practices, including least-privilege access, encryption, secrets management, privacy protections, and controls appropriate for sensitive or classified information.
- Develop and maintain data 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.
- Optimize data 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 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 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 other programming 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 other equivalent tools for analyzing data.
- Experience with Python libraries such as numpy, 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.
Skills
- Data Engineering
- ETL/ELT
- Data Ingestion
- Data Integration
- Data Quality
- Data Governance
- Pipeline Operations
- Cloud Data Platforms
- Schema Definition
- Data Mapping
- Data Validation
- Monitoring and Alerting
- Data Transformation
- Data Lineage
- Data Provenance
- Metadata Management
- Data Security
- Access Controls
- Encryption
- Secrets Management
- Privacy Protection
- Data Modeling
- Curated Datasets
- Service Interfaces
- Infrastructure as Code
- CI/CD
- Workflow Orchestration
- Configuration Management
- Scalability Optimization
- Resiliency Optimization
- Performance Optimization
- Cost Optimization
- Cloud Platforms
- Partitioning
- Parallelism
- Storage Utilization
- Compute Utilization
- Distributed Data Systems
- Log Analysis
- Metrics Analysis
- Collaboration
- Documentation
- Solution Planning
- Proposal Development
- SQL
- Query Optimization
- Python
- Java
- R
- Apache Airflow
- AWS Glue
- Spark
- Jupyter Notebook
- numpy
- pandas
- AWS
- APIs
- JSON
- XML
- CSV
- Parquet
- Preprocessing
- Chunking
- Filtering
- Metadata Enrichment
- LLM Workflows
- AI/ML Workflows
- C3.ai
Location
- Washington, DC metro area
Work Type
- Full-time
Experience Level
- 5+ years of professional data engineering experience
Education Level
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field.
Salary/Compensations
- $89,886.00 - $175,444.00
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
About the Company
- Groundswell is a premier technology integrator and solution provider, committed to solving complex challenges facing federal agencies.
- Our name, Groundswell, represents our commitment to be an unstoppable, seismic change in government.
- We offer a small company culture with big company reach and results.
Equal Opportunity
- 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.
- 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 hr@gswell.com or 703-639-1777.