Experis IT ManpowerGroup has partnered with a leading Financial services company for a Data Engineer role to assist their team. This is an Onsite role.

Industry: Financial services company

Title: Data Engineer

Location: Irving, TX

Duration: 6+ months.

Pay: $57/hr (W2)

Job Description

We seek a skilled Data Engineer with expertise in ETL/ELT, data pipeline architecture, and cloud-based data solutions. The ideal candidate will have strong experience in SQL, Python/Spark, and various data pipelining tools. This role involves designing and optimizing data pipelines for reporting and operational analytics, working with cloud-based platforms, and integrating structured and unstructured data from multiple sources

Key Responsibilities:

• Design, develop, and optimize ETL/ELT data pipelines for operational and analytical applications.

• Work with SQL, Python, and Spark to process large datasets efficiently.

• Architect and implement data pipelines using open-source and cloud-based tools.

• Manage and optimize Delta Lake for both operational and analytical data stores.

• Translate and modernize legacy ETL code from tools like SSIS, Ab Initio, and SAS into cloud-native solutions.

• Ensure data quality, integrity, and security while working with large-scale datasets.

• Collaborate with business and technical teams to develop reporting and downstream applications.

• Leverage cloud platforms (preferably GCP) to build scalable data solutions.

• Troubleshoot and optimize data pipelines to ensure high performance and reliability.

• Stay updated with the latest big data technologies and cloud advancements.

Required Qualifications:

• Strong proficiency in SQL, Python, and Spark.

• Experience with ETL/ELT processes and data pipeline orchestration tools.

• Hands-on experience with cloud platforms (GCP preferred, AWS/Azure a plus).

• Solid understanding of data warehouse concepts, Delta Lake, and reporting solutions.

• Experience with legacy ETL tools like SSIS, Ab Initio, and SAS is a plus.

• Strong problem-solving skills, critical thinking, and the ability to adapt to changes.

• Experience working with large-scale datasets in a distributed computing environment.

• Familiarity with CI/CD for data pipelines and best practices in data security & compliance.

Preferred Qualifications:

• Experience with BigQuery, Dataflow, Dataproc, and Pub/Sub on Google Cloud Platform (GCP).

• Knowledge of modern data lake architectures and real-time data streaming.

• Experience with Apache Airflow, dbt, or other workflow orchestration tools.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.