Data Engineer - 2 Days onsite in Arlington VA

Job Title: Data Engineer

Location: Arlington, VA / 2 days a week onsite

Employment Type: 6-month contract

Compensation: $45.00 - $48.00 / Per Hour / W2

Benefits: This position is eligible for medical, dental, vision, and 401(k).

Position is not eligible for sponsorship. Must be authorized to work in the United States.

Job Description:

• Partners with internal business teams to define key business questions, translate requirements, and build datasets, automations, and reporting solutions that address organizational needs.
• Design, build, test, document, and maintain data pipelines, data models, and analytics ready datasets.
• Serve as the technical and operational lead for the organization’s data.world data catalog, including catalog configuration, metadata standards, data asset documentation, business glossary support, lineage and ownership practices, stakeholder onboarding, and ongoing adoption across teams.
• Develop and maintain ETL/ELT processes, data transformations, data quality checks, and workflow automations across organizational systems.
• Use AI-assisted development and productivity tools, including OpenAI Codex, Microsoft Copilot, and embedded AI features in enterprise platforms, to improve engineering, documentation, testing, analysis, and automation workflows while following security and responsible-use expectations.
• Design, maintain, and troubleshoot workflow automations using tools such as Zapier and Asana, ensuring data movement, task creation, notifications, and cross-system handoffs are reliable, documented, and aligned with business processes.
• Prototype, validate, and productionize reporting, automation, and data-product solutions in partnership with stakeholders.
• Collaborate with data science, analytics, enterprise applications, and business stakeholders to improve data access, data literacy, governance, and operational decision-making.
• Document technical solutions, data definitions, lineage, processes, automations, and support procedures.
• Analyze, understand, and create ETL automation for data sources that serve the needs of internal users and data scientists.
• Other duties as assigned.

Professional Experience/Qualifications:

• Bachelor’s degree in information technology, Computer Science, Data Analytics, Information Systems, or a related field, or equivalent combination of education and relevant experience.
• 2-4 years of relevant experience in data engineering, analytics engineering, business intelligence, database administration, systems integration, or related work.
• Experience with relational database management systems, SQL, data modeling, and analytics-ready dataset design.
• Experience designing, maintaining, or improving ETL/ELT pipelines, data transformations, data integrations, or automated data workflows.
• Experience with data cataloging, metadata management, data documentation, governance practices, or data stewardship workflows; experience with data.world preferred.
• Exposure to reporting, dashboards, and analytics platforms such as Power BI, QuickSight, Tableau, Salesforce reporting, or comparable tools.
• Experience gathering requirements, defining project scope, documenting decisions, and using data to generate business insights.
• Ability to use AI-assisted tools responsibly to support development, documentation, analysis, testing, and productivity.
• Strong customer service, stakeholder communication, and expectation-setting skills.
• Excellent analytical, organizational, and problem-solving skills, including the ability to manage multiple priorities in a dynamic environment.
• Strong critical thinking skills and a desire to take initiative, learn new technologies, and improve existing processes.

Other Preferred Qualifications:

• Understanding of ETL/ELT concepts, including data flow, enrichment, consolidation, change data capture, transformation, orchestration, and monitoring.
• Understanding database concepts such as referential integrity, indexing, keys, schemas, table metadata, query optimization, and data quality.
• Hands-on experience with cloud data platforms or services such as AWS, Azure, SQL Server, S3, Glue, DynamoDB, RDS, Redshift, or comparable technologies.
• Experience with Microsoft business and data tools such as Fabric, Power BI, Excel PowerPivot, Power Apps, Power Automate, Azure App Service, Microsoft 365 Copilot, or comparable tools.
• Experience with Salesforce Sales Cloud, Experience Cloud, Nonprofit Success Pack, Marketing Cloud, or related CRM and marketing technologies.
• Experience with workflow automation and work-management tools such as Zapier, Asana, Power Automate, or comparable platforms.
• Experience with Git, CI/CD pipelines, testing, documentation, and deployment practices in an analytics or data-engineering environment.
• Experience with containerization, infrastructure-as-code, APIs, or modern application integration patterns.
• Familiarity with responsible AI practices, including appropriate review of AI-generated code, protection of sensitive data, documentation of assumptions, and validation of outputs.
• Knowledge of nonprofit operations, aging services, benefits access, advocacy, or mission-driven organizations.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Frequently required to sit or use a standing desk.
• Occasionally required to walk.
• Occasionally required to reach with hands and arms.
• Frequently required to talk or listen.
• Occasionally required to bend, lift, or climb stairs.
• Occasionally required to lift light weights (less than 25 pounds).

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request. 

IND 005-009