
CRM Data Engineer (IS-2210-14) bei Smithsonian Institution
Smithsonian Institution · Washington, Vereinigte Staaten Von Amerika · Onsite
- Senior
- Optionales Büro in Washington
What are Trust Fund Positions?
- Pass Pre-employment Background Check and Subsequent Background Investigation for position designated.
- Complete a Probationary Period.
- Maintain a Bank Account for Direct Deposit/Electronic Transfer.
- The position is open to all candidates eligible to work in the United States. Proof of eligibility to work in U.S. is not required to apply.
- Applicants must meet all qualification and eligibility requirements within 30 days of the closing date of this announcement.
OVERVIEW
DUTIES AND RESPONSIBILITIES
- Develops, documents, promulgates and maintains CRM data management policies and procedures, and strategies for data quality integrity.
- Develops, tests, and maintains data pipelines and automations and ensures they meet standards for data availability, quality and integrity.
- Drives automation of processes, develops new applications, and manages the integrations of the CRM system.
- Maintains the data dictionary for all CRM data elements and ensures that each instance of the data complies with corresponding data validation rules.
- Cleanse and enhances CRM data through data services and processes that append, unify, validate and enrich data (e.g. Address verification, demographic data appends, deduplication, email and phone verification, etc)
- Ensures data availability and usability, optimizes performance and facilitates modern data analytics and reporting.
- Ensures technologies, software, and data management methodologies are adapted to meet CRM data and reporting requirements.
- Leads and participates in SI-wide projects to assure the continued integrity of the CRM database and the reliability, timeliness and utility of data provided by the system.
QUALIFICATION REQUIREMENTS
- Mastery knowledge of complex CRMs, Cloud Data Management tools and other databases including Salesforce, Oracle, Peoplesoft, Redshift, Glue, Athena, and Snowflake
- Mastery knowledge of and skill in implementing data integration processes and patterns to append, unify, validate, and enrich data
- Mastery knowledge of and skill in data modeling, warehousing, quality management, workflow automation, ETL, and database management systems
- Expert skill running data conversions and quickly understanding complex data sets.
- Expert skill in data engineering processes
- Experience in using Apache Spark, SQL, Python, R, T-SQL, and KQL.
- Knowledge of and skill in implementing CI/CD pipelines for automating data engineering processes
- Expert knowledge of trends and best practices in data management in order to recommend their utility in a CRM system.
- Experience applying project planning and control techniques to successfully manage, control and evaluate overall data cleanup efforts in a CRM.
- Strong communication and technical writing skills
- Preferred: Experience working in Nonprofit and/or Federal environments
Resumes should include a description of your paid and non-paid work experience that is related to this job; starting and ending dates of job (month and year); and average number of hours worked per week.
What To Expect Next: Once the vacancy announcement closes, a review of your resume will be compared against the qualification and experience requirements related to this job. After review of applicant resumes is complete, qualified candidates will be referred to the hiring manager.
The Smithsonian Institution provides reasonable accommodation to applicants with disabilities where appropriate. Applicants requiring reasonable accommodation should contact [email protected]. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. To learn more, please review the Smithsonian’s Accommodation Procedures (https://www.si.edu/OEO/IndividualswithDisabilities).