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Tier-1 brand, mid-level data engineer, metro location, broad cloud/pipeline skillset, and common title increase competition.
Core data engineering skills (Python, ETL, cloud, Kafka, SQL) transfer easily across industries, so sensitivity is low.
Explicit 5+ years requirement plus mandatory data pipeline, cloud, and specific tech stack increases strictness.
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Design and implement end-to-end near real-time data movement solutions and data pipelines at scale.
Develop, deploy, and maintain complex data engineering software components independently with minimal supervision.
Mentor junior developers and promote high software quality standards and technical excellence within the team.
4-year degree from an accredited college or university in Computer Science, Electrical Engineering, or related field.
5+ years of software development experience, or 3+ years with a master's degree.
5+ years experience designing and developing data pipelines using Python.
Position requires working onsite five days a week.
Experienced with building large data lakes and data warehouse solutions, preferably with Snowflake.
Strong expertise in cloud services (AWS or Azure), CI/CD tools (Azure DevOps preferred), and message brokers like Kafka or Kinesis.
Demonstrated leadership on medium to large-scale strategic projects with ability to work independently and solve complex problems.