job summary:
Seeking an experienced Data Engineer to support enterprise data governance, integration, and analytics initiatives. This role combines hands-on pipeline engineering with metadata management, workflow automation, and stakeholder collaboration.
In this role, you will design and maintain reliable data pipelines, support enterprise data cataloging and governance practices, build workflow automations, and partner directly with internal analytics, technical, and operational teams to deliver high-quality, decision-ready data assets. The opening is a contract-to-hire position with a long-term outlook (intended to stay with the team for ~5 or more years). We are seeking a foundational systems thinker and problem solver.
location: Arlington, Virginia
job type: Contract
salary: $48 - 52 per hour
work hours: 9am to 6pm
education: Bachelors
responsibilities:
Key Responsibilities
- Data Engineering & Integration: Design, build, test, document, and maintain robust ETL/ELT pipelines, data transformations, and analytics-ready datasets across enterprise applications.
- Data Catalog & Governance: Support enterprise data catalog administration (configuration, metadata standards, lineage, documentation, business glossary support, and data stewardship adoption).
- Workflow Automation: Build, maintain, and troubleshoot workflow integrations using automation tools (e.g., Zapier, Asana, Power Automate) to facilitate cross-system task management and reliable data movement.
- Stakeholder Collaboration: Partner with cross-functional business stakeholders, analysts, and application owners to gather requirements, clarify operational needs, and translate questions into automated data products and reporting models.
- AI-Assisted Development: Responsibly leverage modern AI productivity and development tools (e.g., Microsoft Copilot, OpenAI Codex) to accelerate code development, documentation, and data quality testing while upholding data privacy and security standards.
- Technical Documentation: Maintain thorough technical documentation covering data lineage, system architectures, data dictionaries, automated workflows, and standard operating procedures.
Qualifications & Experience
Required: - Experience: 2-4+ years of hands-on experience in data engineering, analytics engineering, database administration, business intelligence, or systems integration.
- Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related technical discipline (or equivalent practical experience).
- Databases & Modeling: Strong relational database expertise, advanced SQL proficiency, and solid dimensional/analytical data modeling skills.
- Pipelines & ETL: Proven track record designing, orchestrating, and monitoring automated ETL/ELT pipelines and cross-platform data integrations.
- Data Cataloging & Governance: Practical familiarity with metadata management, cataloging frameworks, and data stewardship workflows (experience with platforms such as data.world or similar catalog tools preferred).
- BI & Analytics: Familiarity with modern BI and reporting platforms (e.g., Power BI, Tableau, Amazon QuickSight, or native CRM reporting tools).
- Communication: Outstanding analytical, organizational, and interpersonal skills, with the ability to communicate technical concepts clearly to non-technical stakeholders.
Preferred:
- Hands-on experience with cloud platforms and services (AWS, Microsoft Azure, SQL Server, Redshift, S3, Glue, or similar).
- Familiarity with the Microsoft data ecosystem (Power BI, Fabric, Power Apps, Power Automate, Azure App Services).
- Exposure to enterprise CRM systems (e.g., Salesforce ecosystem and related integrations).
- Familiarity with modern software development workflows: Git version control, CI/CD pipelines, APIs, and automated testing.
- Experience in mission-driven, non-profit, healthcare, or public-sector organizational environments.
qualifications:
Experience:
2-4+ years of hands-on experience in data engineering, analytics engineering, business intelligence, or systems integration.
Education: Bachelor's degree in Computer Science, Information Technology, Data Analytics, or related field (or equivalent practical experience).
SQL & Data Modeling: Strong proficiency in SQL, relational database management systems (RDBMS), data architecture, and designing analytics-ready schemas.
ETL/ELT Pipelines: Proven track record building and managing reliable data ingestion, transformation, and validation pipelines.
Data Catalog & Governance: Hands-on experience with metadata management, cataloging platforms, and data governance best practices.
BI & Reporting Tools: Familiarity with modern BI and visualization platforms (e.g., Power BI, Tableau, AWS QuickSight, or Salesforce Reporting).
Automation Tools: Working familiarity with workflow and integration tools such as Zapier, Power Automate, or Asana.
Communication & Partnership: Strong consultative mindset with the ability to translate non-technical business requirements into technical solutions while managing priorities effectively.
skills:
AI-enabled,AI,AI tools,AI-assisted tools,Asana,analytics platforms,Analytics,analytics capabilities,Data Analytics,data discovery,data governance practices,data infrastructure,data integrations,data stewardship,data pipelines,scalable data solutions,ELT pipelines,data transformations,Enterprise Data,enterprise applications,ETL,data engineering,Information Systems,information technology,Computer Science,data cataloging,metadata management,metadata standards,Microsoft Copilot,OpenAI Codex,Power BI,QuickSight,relational databases,relational database management systems,SQL,Salesforce,technology stack,integrations,systems integration,Tableau,Zapier,analytical,critical thinking skills,troubleshoot,problem-solving skills,automated solutions,automations,automated,business intelligence,business insights,customer service,Strong customer service,dashboards,data models,data modeling,automated reporting,database administration,data products,glossary,Governance,data documentation,Modeling,process automation,project scope,learn new technologies,gathering requirements,stakeholder communication,Technical Documentation,Tool Integration,testing,Workflow Automation,workflows,data workflows,documentation,clear documentation
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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