Data Engineer (Data Pipelines & Modeling)

Katalyst Talent Agency

United States

29 days ago

Apply on www.dice.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Microsoft Azure Databases Continuous Integration Information Engineering Extract Transform Load (ETL) Data Warehousing Github Python (Programming Language) SAP CRM SQL Databases

+8 more

Google Cloud Apache Spark Database Migration Information Technology Data Management Stream Processing Data Pipelines Jenkins

Job description

Design and implement robust data ingestion pipelines from multiple sources (APIs, databases, files, streaming systems).
Support C4C offline database migration, ensuring data accuracy and consistency.
Integrate data from enterprise systems into centralized data platforms.
Design and implement data models for Workforce planning.
Service operations forecasting.
Develop optimized schemas for reporting and analytics.
Ensure data quality, integrity, and consistency across models.

Requirements

Strong experience in data engineering and pipeline development.
Proficiency in Python / SQL.
Hands-on experience with Apache Spark or similar big data tools.
Strong understanding of ETL/ELT concepts and data warehousing.
bility to work independently and in cross-functional teams.
Bachelor’s / Master’s in Computer Science, IT, or related field.

Good to Have:

Exposure to CI/CD tools like Jenkins or GitHub Actions.
Knowledge of cloud platforms (AWS / Azure / Google Cloud Platform).
Experience in healthcare or regulated environments.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Prepare application

Good distractions

Loading talks and stories from around this role…