Three Pillars Recruiting
Senior Data Engineer - Fast Rising SaaS Company
Three Pillars Recruiting, Montebello, New York, United States
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Job Title: Senior Data Engineer
What You'll Do
Data Engineering (80%)
Design and maintain robust data pipelines to ingest and process data from payroll, HR, and time-tracking systems Build and maintain clean, scalable data models (e.g., employee, pay period, hours worked) Set up data infrastructure in the cloud (e.g., AWS, GCP, or Azure) using tools like dbt, Airflow, Snowflake, or BigQuery Collaborate with the engineering team to integrate data outputs into dashboards or APIs Data Science (20%) • Build and test machine learning models to identify:
o Payroll anomalies (overtime spikes, duplicate pay)
o Fraud signals (ghost employees, misclassifications)
o Forecasts (payroll costs, benefits usage) • Develop baseline models using Python (e.g., scikit-learn, XGBoost, Prophet) • Work with product managers and payroll SMEs to translate insights into client- facing features • Validate models and provide clear, actionable results to internal and client teams
Who You Are
3-6 years of experience in data engineering, data science, or a hybrid analytics role Proficient in Python, SQL, and modern data tools (e.g., dbt, Airflow, Snowflake/BigQuery, pandas) Experience building ETL pipelines and working with structured and semi- structured datasets Solid grasp of machine learning basics: classification, anomaly detection, time series forecasting Strong communication skills: you can explain technical findings to non-technical stakeholders Bonus: Experience in payroll, finance, HRIS, or compliance data Nice to Have
Familiarity with payroll/HR systems (e.g., ADP, Paychex, UKG, Workday) Experience with MLOps or deploying models to production Hands-on with dashboarding tools (e.g., Looker, Tableau, or Streamlit) Knowledge of privacy/security best practices with sensitive employee data Why Join Us?
Help build foundational AI capabilities in an industry ripe for transformation Work directly with the CTO, Product, and domain experts Influence what our AI strategy looks like from the ground up Flexible work, modern tools, and a culture of experimentation
Job-3335098
*LI-MG1
#LI-Hybrid
HERE
TO SEE
*ALL*
OF OUR JOB OPENINGS!
Job Title: Senior Data Engineer
What You'll Do
Data Engineering (80%)
Design and maintain robust data pipelines to ingest and process data from payroll, HR, and time-tracking systems Build and maintain clean, scalable data models (e.g., employee, pay period, hours worked) Set up data infrastructure in the cloud (e.g., AWS, GCP, or Azure) using tools like dbt, Airflow, Snowflake, or BigQuery Collaborate with the engineering team to integrate data outputs into dashboards or APIs Data Science (20%) • Build and test machine learning models to identify:
o Payroll anomalies (overtime spikes, duplicate pay)
o Fraud signals (ghost employees, misclassifications)
o Forecasts (payroll costs, benefits usage) • Develop baseline models using Python (e.g., scikit-learn, XGBoost, Prophet) • Work with product managers and payroll SMEs to translate insights into client- facing features • Validate models and provide clear, actionable results to internal and client teams
Who You Are
3-6 years of experience in data engineering, data science, or a hybrid analytics role Proficient in Python, SQL, and modern data tools (e.g., dbt, Airflow, Snowflake/BigQuery, pandas) Experience building ETL pipelines and working with structured and semi- structured datasets Solid grasp of machine learning basics: classification, anomaly detection, time series forecasting Strong communication skills: you can explain technical findings to non-technical stakeholders Bonus: Experience in payroll, finance, HRIS, or compliance data Nice to Have
Familiarity with payroll/HR systems (e.g., ADP, Paychex, UKG, Workday) Experience with MLOps or deploying models to production Hands-on with dashboarding tools (e.g., Looker, Tableau, or Streamlit) Knowledge of privacy/security best practices with sensitive employee data Why Join Us?
Help build foundational AI capabilities in an industry ripe for transformation Work directly with the CTO, Product, and domain experts Influence what our AI strategy looks like from the ground up Flexible work, modern tools, and a culture of experimentation
Job-3335098
*LI-MG1
#LI-Hybrid