Swoon is seeking a Senior Data Engineer to support HR and business stakeholders through advanced analytics and scalable data solutions. The role combines data engineering, advanced SQL, and people analytics to build reliable data pipelines and deliver actionable insights. The ideal candidate has strong backend expertise and experience working with people data.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Senior Data Engineer – People Analytics
Industry: FinTech / Tax Compliance Technology
Location: Fully Remote (U.S.)
Contract Duration: 5-month contract
Pay Rate: $56/hour
Employment Type: Contract
Job Overview
A leading Swoon client within the fintech and tax compliance technology industry is seeking a Senior Data Engineer – People Analytics to support HR and business stakeholders through advanced analytics and scalable data solutions. This is a fully remote, short-term contract opportunity ideal for a senior-level data professional with strong backend expertise and experience working with people data.
This role combines data engineering, advanced SQL, and people analytics, focusing on building reliable data pipelines and delivering actionable insights that drive workforce and organizational decisions.
Key Responsibilities
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- Design, build, and maintain scalable ELT data pipelines supporting People Analytics initiatives
- Develop and optimize advanced SQL queries (CTEs, window functions, complex joins) to blend data from multiple HR and business systems
- Partner with HR, Analytics, and Engineering teams to translate business requirements into robust data models
- Ensure high standards of data quality, accuracy, and reliability across people data platforms
- Support reporting and visualization efforts using Power BI, Tableau, or R
- Implement and maintain data governance, security, and privacy controls, including row-level security and data masking
- Document data models, pipelines, and processes to ensure maintainability and scalability
- Troubleshoot data issues and continuously improve data infrastructure and performance
Required Qualifications
- Proven experience as a Senior Data Engineer or Analytics Engineer
- Advanced SQL expertise (CTEs, window functions, performance tuning — will be tested)
- Hands-on experience with Snowflake, dbt, and Fivetran
- Strong background building and maintaining ELT pipelines
- Experience working with HR / People data or workforce-related datasets
- Ability to communicate complex technical concepts to non-technical stakeholders
- Strong documentation, problem-solving skills, and attention to detail
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Preferred / Nice to Have
- Experience with Workday (reporting, calculated fields, RaaS)
- Background in People Analytics or HR Analytics
- Experience with Power BI, especially data marts
- Exposure to HR systems such as ICIMS, Salesforce, Gallup, Workramp, or similar
- Experience using Python for data or ELT automation
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