Sr Data Engineer - Finance Technology Platform (PySpark, Hadoop, Cloud)

Experteer Overview In this role you will design and optimize scalable data solutions powering Target’s financial systems. You’ll shape the data architecture to deliver reliable, timely insights for financial reporting and decision-making. You collaborate with engineers, product teams, and business stakeholders to deploy enterprise-scale data capabilities using modern big data and cloud technologies. This is a opportunities to influence how finance and analytics drive business outcomes at scale. Compensation / Benefits * Design and maintain scalable data pipelines and distributed processing using Spark, Scala/Java, and cloud platforms (AWS, GCP, or Azure) * Develop batch and real-time data processing solutions ensuring high-quality data for analytics and operations * Build APIs and data services for low-latency data access to downstream apps * Design and optimize data models, ETL workflows, and processing frameworks for performance and cost efficiency * Apply data governance, security, and compliance across the data lifecycle * Collaborate with data scientists, product teams, and stakeholders to deliver scalable data solutions * Contribute to enterprise data platforms and services and drive adoption of best practices in big data, cloud, and API development * Mentor junior engineers through code reviews and knowledge sharing while fostering collaborative culture Tasks * 4+ years in data engineering, software development, or distributed systems * Deep experience with Hadoop, Spark, and distributed processing frameworks * Strong programming skills in PySpark, Scala, and/or Java * Experience with cloud services (AWS, GCP, or Azure) and data services (S3, BigQuery, Databricks, EMR, Snowflake) * Experience developing APIs (REST, GraphQL, gRPC) for real-time and batch data access * Experience with streaming technologies (Kafka, Flink, or Kinesis) * Strong data modeling, ETL design, and performance optimization * Familiarity with data governance, security, and compliance in enterprise-scale environments * Excellent collaboration, communication, and problem-solving skills * Self-driven, ownership mindset with ability to move quickly while upholding standards * Team player focused on continuous learning and reliable systems Key requirements * medical, vision, dental coverage * 401(k) * paid vacations * paid sick leave * employee discount * short/long term disability

and compliance across the data lifecycle * Collaborate with data scientists, product teams, and stakeholders to deliver scalable data solutions * Contribute to enterprise data platforms and services and drive adoption of best practices in big data, cloud, and API development * Mentor junior engineers through code reviews and knowledge sharing while fostering collaborative culture Tasks * 4+ years in data engineering, software development, or distributed systems * Deep experience with Hadoop, Spark, and distributed processing frameworks * Strong programming skills in PySpark, Scala, and/or Java * Experience with cloud services (AWS, GCP, or Azure) and data services (S3, BigQuery, Databricks, EMR, Snowflake) * Experience developing APIs (REST, GraphQL, gRPC) for real-time and batch data access * Experience with streaming technologies (Kafka, Flink, or Kinesis) * Strong data modeling, ETL design, and performance optimization * Familiarity with data governance, security, and compliance in aa aaaaaaaaaaaac_ environments * Excellent collaboration, communication, and problem-solving skills * Self-driven, ownership mindset with ability to move quickly while upholding standards * Team player focused on continuous learning and reliable systems Key requirements * medical, vision, dental coverage * 401(k) * paid vacations * paid sick leave * employee discount * short/long term disability