Data Engineer-Enterprise Data, Governance,Integration, Analytics

National Council on Aging; Arlington (VA); On-site; USD 90,000 - 140,000; Full time

Job summary

National Council on Aging in Arlington, VA, seeks a Data Engineer, Enterprise Data, Governance, Integration & Analytics to advance aging services through robust data pipelines, governance, and analytics enablement. You will partner with business users and data scientists to translate needs into scalable data solutions.

The role combines hands-on engineering, data catalog stewardship, and collaboration with stakeholders to improve data access, quality, and decision-making while leveraging

Qualifications

• Bachelor’s degree or equivalent in IT, data analytics, or related field.
• 2–4 years of data engineering or analytics experience.
• Experience with relational databases, SQL, data modeling, and analytics-ready datasets.

Responsibilities

• Define business questions with internal teams and build datasets, automations, and reporting.
• Design, build, test, and maintain data pipelines and data models.
• Lead for data.world catalog configuration, metadata standards, and governance practices.

Skills

Data modeling

SQL

ETL/ELT design

Stakeholder communication

Data governance

Education

Bachelor’s degree in a related field

Tools

data.world

Power BI

AWS/GCP

Tableau

Job description

Join Our Mission. Shape the Future.

We are seeking a dynamic, visionary

We are seeking a dynamic, visionary Data Engineer, Enterprise Data, Governance, Integration & Analytics to bring their expertise, creativity, and strategic leadership to help drive our mission while embodying NCOA's core values of Caring for All, Collaboration, Innovation, Integrity, and Respect.

This highly collaborative role combines hands‑on data engineering with enterprise integration, data governance, analytics enablement, and stakeholder partnership. The ideal candidate will be equally comfortable building a reliable data pipeline, documenting and cataloging a data asset, and working directly with business users to translate an operational need into an adopted solution.

At NCOA, we are on a mission to create the conditions for all to age well in America today and into the future. Every day, we work to improve the lives of millions of older adults through innovative programs, trusted advocacy, strategic partnerships, and evidence-based solutions that advance health, economic security, and equity.

If you are passionate about using the power of data to create measurable social impact, we invite you to join us in transforming the future of aging in America.

Position Summary

The Data Engineer, Enterprise Data, Governance, Integration & Analytics will play a key role in strengthening NCOA’s data infrastructure, analytics capabilities, data governance practices, and business-process automation. This position designs, builds, documents, and maintains reliable data pipelines, data models, integrations, automated reporting solutions, and cataloged data assets that help internal teams access accurate, timely, and trusted information.

The Data Engineer, Enterprise Data, Governance, Integration & Analytics serves as a technical partner to business teams, data scientists, analysts, and application owners, translating organizational questions and operational needs into scalable data solutions. This role is also responsible for leading and maintaining NCOA’s data.world data catalog, supporting metadata standards, data discovery, business glossary practices, data stewardship, and adoption across the organization.

The position requires strong data modeling skills, experience with relational databases and analytics platforms, comfort working across enterprise applications, and the ability to responsibly use AI-assisted tools such as OpenAI Codex, Microsoft Copilot, and AI-enabled features within the organization’s technology stack. Strong listening, documentation, customer service, and stakeholder‑management skills are essential.

COMPETENCIES AND EXPECTATIONS

• Strategic Thinking- Develops strategies to achieve organizational goals; understands organization's strengths & weaknesses; analyzes market and competition; identifies external threats and opportunities; adapts strategy to changing conditions.
• Leadership- Exhibits confidence in self and others; inspires and motivates others to perform well; effectively influences actions and opinions of others; accepts feedback from others; gives appropriate recognition to others.
• External Relations–Actively builds and strengthens relationships with key stakeholders and vendors.
• Problem Solving-Identifies and resolves problems in a timely manner; gathers and analyzes information skillfully; develops alternative solutions; works well in group problem solving situations; uses reason even when dealing with emotional topics.
• Interpersonal Skills- Focuses on solving conflict; maintains confidentiality; listens to others without interrupting; keeps emotions under control; remains open to others' ideas and tries new things.
• Initiative- Volunteers readily; Undertakes self‑development activities; Seeks increased responsibilities; Takes independent actions and calculated risks; Looks for and takes advantage of opportunities; Asks for and offers help when needed.
• Innovation- Displays original thinking and creativity; Meets challenges with resourcefulness; Generates suggestions for improving work; Develops innovative approaches and ideas; Presents ideas and information in a manner that gets others' attention.
• Business Acumen- Understands business implications of decisions and profitability; demonstrates knowledge of market and competition; aligns work with strategic goals.
• Ethics- Treats people with respect; works with integrity; upholds organizational values.
• Judgment- Displays willingness to make decisions; exhibits sound and accurate judgment; supports and explains reasoning for decisions; includes appropriate people in decision‑making process; makes timely decisions.
• Planning/Organizing- Prioritizes and plans work activities; uses time efficiently; plans for additional resources; sets goals and objectives; organizes or schedules other people and their tasks; develops realistic action plans.
• Adaptability- Adapts to changes in the work environment; manages competing demands; changes approach or method to best fit the situation; able to deal with frequent change, delays, or unexpected events.
• Diversity, Equity, and Inclusion Demonstrates knowledge of EEO policy; shows respect and sensitivity for cultural differences; educates others on the value of diversity; promotes a harassment‑free environment; builds a diverse & equitable workforce.

Key Responsibilities

• 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, learnnew technologies, and improve existing processes.

Other Preferred Qualifications

• Understanding ofETL/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

• 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).

WORK ENVIRONMENT

• The noise level in the work environment is usually moderate.

NCOA is committed to providing competitive and equitable compensation. The salary range published in this job posting reflects the market range for positions based in the Washington, DC, Maryland, and Virginia (DMV) region. Because NCOA employs staff in multiple states, compensation may vary based on an employee's primary work location through our geographic pay structure. Geographic differentials are established using regional labor market data to ensure competitive and equitable pay across locations. Final starting salary will be determined based on the employee's work location, relevant experience, education, qualifications, and internal equity.

NCOA is proud to be an Equal Opportunity Employer and is committed to fostering an equitable, inclusive, and respectful workplace where everyone has the opportunity to thrive.