Data Engineer

Stellent IT LLC; Arlington (VA); Hybride; USD 83 000 - 124 000; Plein temps

Résumé du poste

Stellent IT LLC is seeking a Data Engineer for a hybrid role in Arlington, VA. The contract position requires strong SQL skills and experience with data pipelines, ETL/ELT processes, and analytics-ready datasets.

You will collaborate with business teams to translate needs into datasets, automations, and reporting solutions. The role emphasizes data governance, cataloging, and scalable data infrastructure, with an emphasis on responsible use of AI tools and cross-functional teamwork to drive

Qualifications

• Proficiency in SQL and at least one scripting language (Python or R).
• Demonstrated experience cleaning, standardizing, and validating complex datasets across geographies and time periods.
• 3+ years of professional experience in data engineering, analytics engineering, or related role.

Responsabilités

• Partner with internal business teams to define key questions, translate requirements, and build datasets, automations, and reporting solutions.
• Design, build, test, document, and maintain data pipelines, data models, and analytics-ready datasets.
• Serve as technical and operational lead for data assets, catalog configuration, metadata standards, and data governance practices.
• Develop and maintain ETL/ELT processes, data transformations, data quality checks, and workflow automations across systems.
• Use AI-assisted development tools to improve engineering, documentation, testing, and productivity while ensuring security and responsible use.
• Design, maintain, and troubleshoot workflow automations using tools like Zapier and Asana.
• Prototype, validate, and productionize reporting and data-product solutions with stakeholders.
• Collaborate with data science, analytics, and business stakeholders to improve data access and governance.

Connaissances

SQL

Python

Formation

Bachelor's degree

Outils

Power BI

Description du poste

Position Title: Data Engineer

Location (Onsite/Hybrid/Remote): Hybrid 2 days onsite per week- Arlington, VA

Duration: Contract Position (3 6 Months)

Background Check: 7 years State, Federal and County; and Education Verification

Citizenship: US/Green Card

Timeline and Process:

When for: ASAP

Interview Process: 1 Step

Required - Top 3:

• Proficiency in SQL and at least one scripting language commonly used for data pipelines (e.g., Python or R).
• Demonstrated experience cleaning, standardizing, and validating complex datasets across multiple geographies and time periods.
• 3+ years of professional experience in data engineering, analytics engineering, or a closely related role.

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 NCOA'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.
• 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.