Data Engineer

Location-Hybrid-1-2x times a week/Chicago Office IL ,preferred/ Peoria, IL 2nd choice

Education & Experience Required:

- Bachelor's degree in computer programming or a relevant field required and 5-7 years' experience required.

- 4+ years' experience with Master's degree or higher

- Associates degree with a minimum of 10 years of experience in this field.

Technical Skills

(Required)

Experience with serverless design in AWS

Four years or more of experience in data engineering and/or software development.

Three years or more of experience with development, operations, or architecture in AWS using Python.

Experience with development and delivery of microservices using serverless AWS services (S3, RDS, Aurora, DynamoDB, Lambda, SNS, SQS, Kinesis, IAM)

Strong competency in testing, including unit testing to coverage standards and integration testing.

(Desired)

Software development experience with object-oriented development and design patterns

AWS technical certifications (Developer Associate, Solution Architect Associate)

Familiarity with machine learning and data design to support machine learning

Experience with productionizing machine learning workloads

Experience with ElasticSearch/ELK, Kibana, Grafana, and/or Prometheus

Experience with OpenTelemetry

Soft Skills

(Required)

Verbal and written communication skills, problem solving skills, customer service and interpersonal skills.

Basic ability to work independently and manage one's time.

(Desired)

Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment.

Ability to clearly communicate complex technical ideas.

Comfortable working in a dynamic environment where digital is still evolving as a core offering.

Disqualifiers/Red Flags:

No experience with automated testing

Make sure to list on the resume where the candidate resides or they will be DQ