FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in SQL query writing and data analysis, with a strong understanding of relational database principles and experience in data transformation workflows. Capable of collaborating with cross-functional teams to define requirements and document data structures effectively.
Highest-signal resume keywords
SQL Query WritingData AnalysisSnowflake Data ManagementSalesforce IntegrationVersion Control with Git
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData TransformationData MappingRelational Database PrinciplesPythonJavaData ExtractionSchema MappingData ProcessingData Modeling
Soft Skills
CuriosityTenacityCommunicationCollaborationProblem-Solving
Tools & Technologies
SnowflakeSalesforceGitGitHubAI-Assisted Developer Tools
Industry Keywords
Data LineageTransactional ProcessorsOperational ServicesData DictionariesEntity-Relationship Diagrams
Tech Stack
Tools & technologiesJavaPythonSQL
About the role
Key responsibilities & impact- Investigate data lineage across billing platforms, transactional processors, legacy portals, and operational services
- Identify source systems for customer, account, and relationship attributes
- Partner with product managers, business analysts, and functional leads to define Salesforce customer identity requirements
- Perform exploratory data analysis, detect schema drift, address duplicate records, and define source-to-destination mapping rules
- Assist in designing scalable, modular data extraction, transformation, and ingestion workflows
- Write optimized SQL transformations, views, and data processing routines in Snowflake
- Map staged Snowflake data into standard and custom Salesforce objects
- Participate in daily stand-ups, backlog grooming, and architectural design reviews
- Document data dictionaries, entity-relationship diagrams, integration flows, and automated validation tests
- Leverage AI-assisted developer workflows and automation tooling for querying, schema mapping, and documentation
Requirements
What you’ll need- Pursuing a Master’s degree in Computer Science, Machine Learning, Software Engineering, or a related field
- Solid academic or project experience writing SQL queries, including joins, aggregations, and window functions
- Understanding of relational database principles, including foreign keys, indexing, and entity relationships
- Working knowledge of at least one programming or scripting language, such as Python or Java
- Standard version control workflows using Git/GitHub
- Demonstrable aptitude and enthusiasm to learn Snowflake and Salesforce
- Ability to translate complex data structures into plain language when interviewing stakeholders and gathering requirements
- Curiosity and tenacity for investigating complex systems and data flows
- Interest in building reusable tools, scripts, and data models
Benefits
Comp & perks- 13-week paid internship program
- Mentorship
- Professional development
- Weekly learning experiences
- Remote, hybrid, and onsite options
- Potential to lead initiatives
- Potential for high-performing interns to return full-time or receive extended school-year roles
- Health insurance
- Dental insurance
- Vision insurance
- Retirement savings plan
- Paid time off
- Health savings account
- Flexible spending accounts
- Life insurance
- Disability insurance
- Tuition reimbursement
- Quarterly or annual bonus eligibility for non-sales roles
