Data Engineer

4 days ago


Bloomington, Illinois, United States LMI Full time
Job Title: Junior Data Engineer

LMI is seeking a highly skilled Junior Data Engineer to join our team. As a Junior Data Engineer, you will play a key role in developing and deploying technical solutions to solve our customers' hardest problems.

Key Responsibilities:

  • Perform various ETL functions to extract, transform, and load data from various sources.
  • Debug issues related to delayed or missing data feeds to ensure timely and accurate data delivery.
  • Write transformations and derive new datasets to support business decision-making.
  • Monitor build progress and debug build problems to ensure smooth data pipeline execution.
  • Rapid development and iteration cycles with SME's to troubleshoot application issues and improve data quality.
  • Containerize workflows to ensure efficient and scalable data processing.
  • Data modeling and metadata tagging to ensure data consistency and accuracy.
  • Create and maintain data access and sharing pipelines to support business needs.
  • Work with technical and non-technical team members to derive solutions and improve data-driven decision-making.
  • Develop architecture diagrams to propose solutions and improve data pipeline efficiency.
  • Configure cloud resources for data pipelining, storage, and retrieval to ensure secure and efficient data management.

Requirements:

  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline (Masters degree preferred).
  • 3+ years of work experience in data engineering, data science, software engineering or relevant other hands-on-keyboard experience.
  • Proficiency with programming languages such as Python, Java or similar languages.
  • Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections.
  • Experience with Test Driven Development (TDD).
  • Experience with Open-Source Tools, such as: Superset, Airflow, Kafka, Postgres, Docker, Helm (or similar), Kubernetes, Spark, etc.
  • Experience building production-ready data pipelines.
  • Experience developing commercial data products and services.
  • Experience with streaming data is preferred.
  • Experience with building solutions on both cloud services and on-prem deployments.
  • Experience with the restrictions of working in classified engineering environments is preferred.
  • Knowledge or experience with federal ATO/RMF processes.
  • Knowledge or familiarity with IDAM/ICAM/IAM.
  • Ability to work effectively in teams of technical and non-technical individuals.
  • Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.
  • Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision.
  • Proven track-record of strong communications including feedback gathering, execution updates, and troubleshooting.
  • Minimum clearance requirement: Ability and willingness to obtain a Secret clearance.

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