Data Engineer – Legacy Systems & AI Workflows

Gswell; McLean (VA); Hybrid; USD 90,000 - 175,000; Full time

Benefits offered by this job

401K

Healthcare

Tuition reimbursement

Job summary

Groundswell is seeking an experienced Data Engineer in the McLean, VA area to design and operate batch and streaming ETL/ELT pipelines, ingesting data from diverse sources into secure cloud platforms. The role emphasizes provenance, access controls, and governance to enable decision-ready applications and AI-enabled capabilities in controlled environments.

You will collaborate across disciplines, onboard legacy data, and implement data-quality checks with monitoring.

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.

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 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.

Skills

Python

SQL

Jupyter Notebook

Cloud data engineering

Data governance

APIs (SOAP/REST)

Data security

Documentation

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

SOAP APIs

JSON

XML

Parquet

Pandas

Numpy

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. **What You'll Do*** 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.**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 - $175,444.00