Motion Recruitment Partners, LLC
Motion Recruitment Partners, LLC

Data Pipeline Engineer

Irving, TX, US • Posted 30+ days ago • Updated 8 hours ago
Contract W2
On-site
$69.5 - $78.31/hr
Fitment

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Job Details

Skills

  • Financial Services
  • Finance
  • Data Engineering
  • Data Analysis
  • Performance Tuning
  • Database
  • Data Warehouse
  • Analytics
  • Google Cloud
  • Google Cloud Platform
  • Open Source
  • Cloud Computing
  • Data Lake
  • Analytical Skill
  • SQL
  • Reporting
  • Data Processing
  • Python
  • Apache Spark
  • Microsoft SSIS
  • Ab Initio
  • SAS
  • Migration
  • Orchestration
  • Workflow
  • Extract
  • Transform
  • Load
  • Data Quality
  • Critical Thinking
  • Adaptability
  • Conflict Resolution
  • Problem Solving

Summary

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Data Pipeline Engineer in Irving TX or Charlotte NC

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: starting at 6 months with possible extensions or full time conversion

We are seeking an experienced Data Pipeline Engineer to design, architect, and maintain scalable data pipelines that support reporting and downstream applications. The ideal candidate will bring strong expertise in cloud-based and open-source data technologies, modern data lake architectures, and data engineering best practices.

Required Skills & Experience
  • Expertise in SQL for data analysis, transformation, and performance tuning.
  • Strong hands-on experience with Python and Spark for large-scale data processing.
  • Experience with data pipelining and orchestration tools (e.g., Airflow, Cloud Composer, or equivalent).
  • Solid understanding of databases, data warehousing, and data lake architectures.
  • Proven experience designing and architecting data pipelines for analytics and reporting.
  • Experience working with legacy ETL tools such as SSIS, Ab Initio, SAS, or equivalent.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Ability to adapt quickly to evolving technologies and business requirements.


Desired Skills & Experience
  • Expertise in cloud platforms, with Google Cloud Platform (Google Cloud Platform) strongly preferred.
  • Experience building cloud-native data lake solutions using open-source technologies.

What You Will Be Doing
  • Design, architect, and implement scalable data pipelines for reporting and downstream applications using open-source tools and cloud platforms.
  • Build and support cloud-based data lake architectures for both operational and analytical data stores.
  • Apply strong database, SQL, and reporting concepts to design efficient, high-performance data solutions.
  • Develop data processing and transformation logic using Python and Spark.
  • Work with and interpret legacy ETL code and workflows from tools such as SSIS, Ab Initio, SAS, and similar technologies to support modernization and migration initiatives.
  • Utilize modern data pipelining and orchestration tools to automate, monitor, and optimize data workflows.
  • Troubleshoot data pipeline issues, ensure data quality, and optimize performance and reliability.
  • Demonstrate critical thinking, adaptability to change, and strong problem-solving skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 864250
  • Posted 30+ days ago
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