Data engineer

Mankind America; Bloomington (IL); On-site; USD 137,460 - 168,007; Full time

Job summary

Mankind America is looking for a Data Engineer to develop and maintain scalable data pipelines on the Google Cloud Platform. This full-time position requires a Master’s degree in Computer Science, IT, Engineering, or closely related field, along with six months of experience in a relevant position.

The role involves designing data warehouse solutions, implementing ETL processes, and working with tools like Python, SQL, and Kafka. Candidates must be willing to travel across the USA for various projects.

Qualifications

• Master's degree with six months of experience in a relevant field.
• Experience in ETL processes, Python, and SQL.
• Willingness to travel and/or relocate to various client sites across the USA.

Responsibilities

• Develop and maintain scalable data pipelines on GCP.
• Build real-time and batch processing pipelines for data.
• Implement end-to-end data solutions for business needs.
• Write efficient scripts for data processing and transformation.

Skills

ETL

Python

SQL

Google Cloud Platform (GCP)

Data processing

Apache Kafka

Education

Master’s degree in Computer Science/IT/IS/Engineering

Tools

Pub/Sub

DataFlow

DataProc

Job description

Posting Date: 06/01/2026

POSITION: Data Engineer • Full-time job, 40 hours per week • Pay/Salary: $152,734.00 year.

NUMBER OF OPENINGS: 2 • LOCATION: MANKIND AMERICA LLC, 808 S Eldorado Rd, Suite 105 F, Bloomington, IL 61704

JOB DUTIES

• Develop, maintain, and optimize scalable data pipelines on the Google Cloud Platform (GCP) using tools such as Pub/Sub, DataFlow, and DataProc.
• Build real-time and batch processing pipelines for streaming data ingestion and processing.
• Implement end-to-end data solutions to support business needs and analytics requirements.
• Write efficient Python and PySpark scripts for data processing and transformation.
• Implement ETL (Extract, Transform, Load) processes to ensure the smooth flow of data between systems and storage solutions.
• Work with Kafka for real-time streaming data ingestion and processing.
• Design and implement data warehouse solutions on GCP, ensuring that they scale and support business needs.
• Build and maintain data lakes and distributed data platforms to handle large volumes of structured and unstructured data.
• Define database schema, table relationships, and indexing to ensure data integrity and efficient query performance.
• Work under supervision.
• Travel and/or Relocation to various unanticipated client sites throughout USA is required.

EDUCATION

Master’s degree in Computer Science /IT/IS/ Engineering (Any) or closely related field with Six (6) months of experience in the job offered or as an IT Consultant or Analyst or Programmer or Developer or Engineer or closely related field.

EXPERIENCE

Experience of Six(6) Months working with ETL, Python and SQL is required. Travel and/or Relocation to Unanticipated Client Sites Throughout USA is required.