Target
Lead Data Engineer – Finance Tech
Minnesota · Senior
Sponsorship not specifiedDetected 13 days ago
JavaScalaDistributed SystemsBigQuerySnowflakeDatabricksAWSGCPAzureCloud PlatformsAPI DevelopmentGraphQLRESTgRPCKafkaMachine LearningSparkData EngineeringEHR/EMRCommunicationCollaborationProblem SolvingHadoop
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Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- As a Lead Data Engineer, you will serve as the technical lead for the engineering team, designing and developing scalable, high-performance data solutions. You will drive the evolution of our data architecture, ensuring it meets both functional and non-functional business requirements while delivering reliability, efficiency, and scalability.
- Architect and build scalable, high-performance data pipelines and distributed data processing solutions using Spark, Scala/Java and cloud platforms (AWS, GCP, or Azure). Design and implement real-time and batch data processing solutions, ensuring data is efficiently processed and readily available for analytical and operational use.
Responsibilities
- Architect and build scalable, high-performance data pipelines and distributed data processing solutions using Spark, Scala/Java and cloud platforms (AWS, GCP, or Azure).
- Design and implement real-time and batch data processing solutions, ensuring data is efficiently processed and readily available for analytical and operational use.
- You will play a key role in architecting and optimizing data pipelines using Hadoop, Spark, Scala/Java, and cloud technologies to support enterprise-wide data initiatives.
- You will collaborate with product teams and business stakeholders to understand requirements and deliver data-driven solutions.
- As a Lead Data Engineer, you will serve as the technical lead for the engineering team, designing and developing scalable, high-performance data solutions.
- You will drive the evolution of our data architecture, ensuring it meets both functional and non-functional business requirements while delivering reliability, efficiency, and scalability.
Requirements
- Expertise in Big Data technologies such as Hadoop, Spark, and distributed processing frameworks
- Experience with cloud platforms (AWS, GCP, or Azure) and associated data services (e.g. S3, BigQuery, Databricks, EMR, Snowflake)
- Proficiency in API development using REST, GraphQL, or gRPC to support real-time and batch data access
- Experience with real-time and streaming data architectures like Kafka, Flink or Kinesis
- Strong problem-solving skills and the ability to thrive in complex, evolving environments
Nice to have
- 7 plus years of experience in data engineering, software development, or distributed systems
Benefits
- Comprehensive health benefits and programs
- Short term disability
- Long term disability
- Paid sick leave
This listing is sourced directly from Target's careers page and normalized into a canonical job model.