Data Engineering Leadership Role

6 days ago


Minneapolis, Minnesota, United States Improving Full time
About the Role

We are seeking a highly skilled Sr. Data Engineer to join our team at Improving. As a Data Engineer, you will be working with the latest cloud and technology stacks to help clients implement and mature their modern data architecture.

You will work with tools/platforms like Kafka, Snowflake, and Databricks to help clients get the most out of their data that may be in systems like Salesforce, SAP, SQL Server, or file storage.

  • At least 4 years of experience as a hands-on software or data engineer
  • At least 1-2 years building production-grade data solutions (Example: ETL/ELT, Spark, Azure Data Factory, AWS Data Migration Services, streaming systems)
  • Demonstrated aptitude for problem-solving and creativity
  • Ability to learn new technologies and apply learnings to production-grade solutions
  • Experience with at least one prominent cloud provider (e.g.: AWS, Azure, GCP)
  • Strong working knowledge of a querying language like SQL
  • Understanding of CI/CD, automated testing, and the DevOps culture
  • Effectively communicate complex technical solutions to a variety of audiences through oral and written mediums
Qualifications and Skills

We are looking for candidates with:

  • Production experience with at least one distributed data system like Snowflake, Databricks, Cassandra, DynamoDb, Elastic, or Hadoop
  • Production experience with at least one messaging technology like Kafka, Kinesis, Pulsar, or RabbitMQ
  • Certification on at least one relevant platform/tool (AWS, Azure, GCP, Snowflake, Databricks, Spark)
  • Ability to translate business needs into optimized and efficient data models in SQL or NoSQL
  • Experience working in an agile development framework like Scrum or Kanban


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