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Groundswell
Groundswell
201 – 500 Employees
ConsultingDefenseLogistics
Groundswell is a technology consulting partner serving federal agencies across consulting, logistics, and defense. The company helps public-sector organizations modernize operations through low-code development, enterprise resource planning, and process automation, using platforms such as Appian, SAP, Workday, and UiPath. Its work includes supporting federal recruitment strategies, defense transportation, and project management. Groundswell’s approach combines agile delivery with tailored technology solutions designed around the operational goals of government clients.
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Data Engineer, Legacy Systems and AI Workflows at Groundswell (Remote, U.S.)

Build secure ETL/ELT pipelines and AI workflows for Groundswell, a federal technology integrator. The role focuses on data quality, governance, security, and dependable mission-oriented applications.

USUnited StatesMDMarylandVAVirginia
$89,886 – $175,444 / year
RemoteFull-timeMiddleSeniorEnglish RequiredData Engineer
AWSCloudETLJavaNumpyPandasPythonSOAPSQL

Description

  • Build and operate batch and streaming ETL/ELT pipelines that move structured and semi-structured data into secure cloud platforms.
  • Integrate legacy data sources by assessing schemas, mappings, interfaces, validation rules, ownership, and operational support procedures.
  • Implement automated checks for data completeness, accuracy, consistency, timeliness, and referential integrity, supported by monitoring and alerts.
  • Automate deployments and pipeline operations through SOAP APIs, workflow orchestration, and environment-specific configuration.
  • Diagnose distributed-system failures using logs, metrics, lineage, and operational signals, then communicate causes and recovery plans.
  • Work with engineering, cloud, data science, security, architecture, and customer teams to turn mission needs into measurable data products.

Requirements

  • Bachelor’s degree in computer science, computer engineering, mathematics, statistics, or a related technical discipline.
  • At least five years of professional data engineering experience, including production pipeline development and operations.
  • Proficiency in Python, Java, R, or another programming language used in data engineering.
  • Experience working with legacy systems that use SOAP APIs for data exchange.
  • 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 regulated, restricted, or compliance-focused environments.
  • Experience with SOAP or REST APIs and structured formats including JSON, XML, CSV, and Parquet.
  • Ability to document technical decisions and collaborate with multidisciplinary teams and customer stakeholders.
  • U.S. citizenship required under contract terms.
  • Ability to obtain and maintain a Public Trust Clearance as required by the contract.
  • Preferred experience creating 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 advanced SQL skills covering query optimization, data modeling, joins, window functions, and large-dataset analysis.
  • Preferred experience using Jupyter Notebook or comparable data-analysis tools.
  • Preferred experience with Python libraries including NumPy and pandas.
  • Preferred hands-on experience with a major cloud provider; AWS is strongly preferred.
  • C3.ai experience preferred.
  • An active Public Trust Clearance is preferred.
  • Preference is given to candidates located in the Washington, DC metropolitan area.
  • AWS Data Engineer, Databricks, cloud data engineering, or another relevant professional certification preferred.

Benefits

  • Medical, dental, and vision coverage.
  • Flexible Spending Account.
  • 401(k) plan with a 4% match and immediate vesting.
  • Paid time off.
  • Tuition reimbursement, certification programs, and professional development support.
  • Flexible work schedule.
  • On-site gym and childcare option.

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