Data Engineer – Legacy Systems & AI Workflows

Groundswell Corporation; McLean (VA); On-site; USD 90,000 - 175,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and视觉

Flexible Spending Account

401K Match

Paid Time Off

Tuition reimbursement and professional

Flexible work schedule

On-site gym

Childcare option

Job summary

Groundswell Corporation seeks an experienced Data Engineer to build secure, reliable data capabilities for a mission-focused platform in a federal context. You will design, ingest, validate, and govern data across batch and streaming pipelines, ensuring provenance and access controls while enabling AI-enabled capabilities in controlled environments.

You will collaborate with software, cloud, security, and stakeholder teams to translate mission needs into measurable data products, including

Qualifications

• Bachelor's degree in a technical field (CS/CE/Math/Stats) required.
• 5+ years of professional data engineering experience with production pipelines.
• Proficiency in Python, Java, R, or other data-engineering languages.
• Experience with SOAP APIs for data interaction.
• Experience implementing data-quality frameworks, monitoring, and alerting.
• Knowledge of data security, access controls, encryption, and governance in regulated environments.
• Experience with APIs (SOAP/REST) and data formats like JSON/XML/CSV/Parquet.
• Ability to document technical decisions and collaborate with multidisciplinary teams.
• U.S. Citizen and ability to obtain Public Trust Clearance.

Responsibilities

• Design, develop, and operate batch and streaming ETL/ELT pipelines across sources.
• Onboard legacy data sources by reviewing schemas, mappings, and interfaces.
• Build automated data-quality checks with monitoring and alerts.
• Automate deployments and pipeline operations using SOAP APIs and workflows.
• Troubleshoot failures using logs, metrics, and lineage; communicate root causes and recovery plans.
• Collaborate with engineers, data scientists, security teams, and stakeholders to deliver data products.

Skills

Python

Java

R

SQL

APIs (SOAP/REST)

Data quality frameworks

Data security & governance

Education

Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field

Tools

SOAP APIs

Jupyter Notebook

AWS

Job description

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.

• 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 legacy data sources by reviewing 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.
• Automate deployments and pipeline operations using SOAP APIs, workflow orchestration, and environment-specific configurations.
• 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.

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.
• Proficiency in Python, Java, R, or other programming language used for data engineering.
• Experience with legacy systems that utilize SOAP APIs for data interaction.
• 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 (SOAP/REST) 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.
• Strong SQL expertise, including query optimization, data modeling, joins, window functions, and analysis of large datasets.
• Experience with Jupyter Notebook or other equivalent tools for analyzing data.
• Experience with Python libraries such as numpy, pandas, and other libraries like this.
• Hands-on experience with at least one major cloud provider, with AWS experience strongly preferred.
• 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 AWS Data Engineer Certification, Databricks, cloud data engineering, or other relevant professional certification is preferred.

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

Salary and Location

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 - $175,444.00

Preference given to candidates local to the Washington, DC metro area.

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.

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