Lead Data Engineer - Finance Tech
Target7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445 · full time · Senior
$132,000 – $238,000
Listed on Target’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead the data engineering team building financial platforms that power Target's enterprise operations, designing scalable pipelines and real-time data services using Spark, Hadoop, and cloud technologies. Suited for experienced engineers with deep expertise in distributed systems who want to mentor others and shape data architecture strategy.
Our summary, not Target’s wording. The full posting is on their site.
Skills this role names
- Amazon Elastic MapReduce (EMR)
- Amazon S3
- Amazon Web Services (AWS)
- Apache Flink
- Apache Hadoop
- Apache Kafka
- Apache Spark
- Databricks
- Google BigQuery
- GraphQL
- gRPC
- Java
- Microsoft Azure
- PySpark
- Retrofit (REST)
- Scala
- Snowflake
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What they ask for
Required
- 7+ years in data engineering, software development, or distributed systems
- Expertise in Hadoop, Spark, and distributed processing frameworks
- Strong programming in PySpark, Scala, and/or Java
- Experience with AWS, GCP, or Azure and their data services
- Proficiency in API development (REST, GraphQL, or gRPC)
- Knowledge of data modeling and ETL pipeline design
- Understanding of data governance, security, and compliance
Nice to have
- BS or MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or related technical field
- Experience with real-time streaming architectures like Kafka, Flink or Kinesis