Swoon31.01.26
AI SCORE 8.5

Senior Data Engineer - People Analytics (Remote)

$116K/year

About the Role

We are seeking a Senior Data Engineer - People Analytics to join our team at Swoon. This fully remote position offers an exciting opportunity to leverage your expertise in data engineering and analytics within the FinTech and tax compliance technology industry. As a Senior Data Engineer, you will support HR and business stakeholders by developing advanced analytics and scalable data solutions.

What You'll Do

  • Design, build, and maintain scalable ELT data pipelines that support People Analytics initiatives.
  • Develop and optimize advanced SQL queries, including CTEs, window functions, and complex joins, to integrate data from various HR and business systems.
  • Collaborate with HR, Analytics, and Engineering teams to translate business requirements into effective data models.
  • Ensure high standards of data quality, accuracy, and reliability across people data platforms.
  • Support reporting and visualization efforts using tools like 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.

Requirements

  • Proven experience as a Senior Data Engineer or Analytics Engineer.
  • Advanced SQL expertise, including CTEs, window functions, and performance tuning.
  • Hands-on experience with Snowflake, dbt, and Fivetran.
  • Strong background in 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.

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.

What We Offer

  • Competitive pay rate of $56/hour, translating to approximately $116,480/year.
  • Fully remote work environment, allowing for flexibility and work-life balance.
  • Opportunity to work with a leading company in the FinTech industry.
  • Collaborative team culture focused on innovation and continuous improvement.
  • Short-term contract with potential for future opportunities.
Why This Job8.5 of 10

This Senior Data Engineer role offers a competitive salary, fully remote work, and the chance to contribute to impactful people analytics in a leading FinTech company.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About Swoon

Explore Swoon careers in 2026 and discover a variety of job openings, including remote, hybrid, and office roles. Utilize advanced filters to refine your search, track your applications, and gain valuable insights into the company. Find your ideal career opportunity at Swoon today, and take the first step toward a rewarding future with us. Your dream job is just a click away!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficiency in SQL and experience with Snowflake for building and optimizing data warehouses, ensuring efficient data retrieval and storage for analytics.

Strong analytical mindset with hands-on experience in data transformation using dbt and ETL processes with Fivetran, enabling seamless integration of data from various sources.

Ability to create compelling data visualizations and dashboards using Power BI and Tableau, translating complex datasets into actionable insights for HR and business stakeholders.

Learning Resources

SQL for Data Sciencecourse

Career Path

Senior Data Engineer - People Analytics(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$30B
Annual Growth
12.5%
AI Adoption
54%
Investment
+40%
Labour Demand
+25%
Avg Salary
$120K

Skills & Requirements

Required
SQLSnowflakedbt
Growing in Demand
Data WarehousingMachine LearningApache Kafka
Declining
Oracle PL/SQLMicrosoft Access

Domain Trends

Rise of Cloud Data Warehousing
The shift towards cloud-based solutions is accelerating, with 70% of organizations planning to migrate their data warehouses to cloud platforms like Snowflake and AWS by 2025.
Increased Demand for Real-Time Analytics
Real-time data processing is becoming critical; 60% of companies report needing real-time insights to remain competitive, driving demand for skills in tools like Apache Kafka.
Integration of AI in Data Engineering
AI tools are being integrated into data pipelines; 50% of data engineers are expected to use AI-driven analytics tools by 2025, enhancing their capabilities in data processing and insights generation.

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