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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing reliable data products and automated pipelines, with a strong focus on SQL, Python, and cloud platforms like Azure. Capable of translating business requirements into technical solutions while ensuring data quality, governance, and compliance.
Highest-signal resume keywords
SQL ProficiencyPython ProgrammingAzure Cloud ExperienceData Governance UnderstandingGit-Based Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringAnalytics EngineeringSoftware DevelopmentSpark SQLCI/CD PracticesRPA ToolingData LineageMedallion ArchitectureAI/LLM DevelopmentAutomation Solutions
Soft Skills
Good Communication Skills
Tools & Technologies
SnapLogicPower AutomatePowerBuilderAzure DatabricksGit
Certifications & Qualifications
Bachelor's Degree in Computer ScienceData EngineeringInformation Systems
Industry Keywords
Segregation-of-DutiesSOX ComplianceBusiness InsightAutomated SolutionsProduction-Grade Data Products
Tech Stack
Tools & technologiesAzureCloudPythonRPASparkSQL
About the role
Key responsibilities & impact- Develop and build reliable data products, automated pipelines, and reusable interfaces for internal business teams
- Take an end-to-end, full-stack approach spanning data pipelines, APIs, automation, and lightweight application development
- Build automation and intelligent solutions, including RPA workflows and AI/LLM-powered tools
- Maintain engineering ownership and segregation-of-duties controls over SnapLogic, Power Automate, and PowerBuilder platforms
- Translate defined business requirements into technical implementations focused on underlying business problems
- Apply Git-based source control, testing, CI/CD, code reviews, documentation, and monitoring
- Integrate and validate data from internal and external systems, ensuring quality, security, lineage, and governance
- Deliver solutions with measurable business impact tracked through metrics
- Use AI-assisted development tools while validating output quality
- Work embedded with Finance and CAO partners on production-grade data products, automation, and AI-enabled solutions
Requirements
What you’ll need- 4–6 years of experience in data engineering, analytics engineering, software development, or a closely aligned technical domain
- Solid proficiency in SQL and at least one programming language, preferably Python
- Working knowledge of Spark and Spark SQL
- Cloud platform experience on Azure; Azure Databricks preferred
- Familiarity with medallion (bronze/silver/gold) architecture for data lakehouse pipelines
- Some exposure to RPA tooling such as Power Automate is a plus
- Proficient with Git-based development and CI/CD practices
- Experience with LLMs or intelligent development platforms, with judgment to validate output quality
- Understanding of data lineage, governance, and audit requirements
- Understanding of SOX segregation-of-duties principles
- Business insight to turn ambiguous problems into clean, automated solutions
- Good communication skills with technical and non-technical teammates
- Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Information Systems, or a related field
Benefits
Comp & perks- Annual Incentive Plan (AIP) for short-term incentives
- Potential long-term incentives in the form of a new hire equity award
- Comprehensive benefits programs
- Equal Employment Opportunity protections
- Accessibility accommodations for the careers website and recruiting process