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ADP is hiring a Data Analytics Engineer

We're seeking a Data Analytics Engineer to build and maintain scalable data pipelines for payroll analytics and LLM feature engineering.

You'll work on event-driven data ingestion, transformation pipelines, and feature store development to support AI/ML initiatives and business analytics.

• Data Pipeline Engineering
• Design and implement event-driven data ingestion pipelines using SQS/SNS and Kafka
• Build Java-based integration services to consume and process events
• Develop and maintain Databricks-based ETL/ELT workflows

• Create feature datasets from ingested data to support LLM training and fine-tuning
• Design and implement feature stores using Python and SQL on Databricks
• Build data quality validation frameworks to ensure feature accuracy and consistency
• Develop data preprocessing pipelines for model training and inference

• Maintain Databricks environments across multiple regions and deployment stages
• Optimize Spark jobs for performance and cost efficiency
• Implement data validation and monitoring solutions
• Manage canonical data models and transformation logic using SQL and PySpark

• Build analytics-ready datasets for business intelligence and reporting
• Create data documentation and lineage tracking
• Support compliance and audit requirements through data validation pipelines

• Strong experience with Databricks platform and Apache Spark (PySpark)
• Proficiency in SQL for complex data transformations and analytics
• Hands-on experience with event-driven architectures using AWS SQS/SNS and/or Kafka
• Java development experience for building integration services and event consumers
• Python programming skills for data processing, feature engineering, and automation
• Experience building ETL/ELT pipelines for large-scale data processing
• Understanding of data modeling, schema design, and data warehouse concepts
• Familiarity with CI/CD practices and version control (Git)
• Strong problem-solving skills for data quality and pipeline optimization

• Experience preparing datasets for machine learning model training (especially LLMs)
• Knowledge of feature store architectures and MLOps practices
• Experience with multi-region data processing and compliance requirements
• Background in data governance and data quality frameworks
• Experience with Databricks Delta Lake and Unity Catalog
• Knowledge of AWS services
• Understanding of data security and privacy best practices
• Experience with test-driven development for data pipelines

Languages: Python, SQL (Spark SQL), Java

Platforms: Databricks, AWS (SQS/SNS, S3)

Frameworks: Apache Spark, Kafka, PySpark

Tools: Git, pytest, Databricks CLI

What are you waiting for? Apply today!

Find out why people come to ADP and why they stay: https://youtu.be/ODb8lxBrxrY

(ADA version: https://youtu.be/IQjUCA8SOoA)

*O modelo de trabalho adotado pela ADP é office based/presencial, com a possibilidade de trabalho em home-office por até duas vezes na semana.

*Considerando que as atividades desempenhadas pelos ocupantes deste cargo envolvem acesso a informações altamente confidenciais e sensíveis de clientes da ADP e de seus respectivos empregados, a ADP reserva-se o direito de conduzir checagem de histórico, de tempos em tempos, conforme autoriza o Incidente de Recurso de Revista Repetitivo nº 01 do Tribunal Superior do Trabalho, mediante consentimento do candidato/trabalhador.

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