Senior Data Engineer

  • Richardson, TX
  • Posted 5 hours ago | Updated 3 hours ago

Overview

Hybrid
$60 - $65
Contract - W2
Contract - 4 Month(s)

Skills

ETL
Data Lakes
Data warehouse

Job Details

Title : Senior Data Engineer
Location : Hybrid-Richardson, TX
Duration : 4+ Months Contract

Role Overview:
We are seeking a highly skilled and experienced Senior Data Engineer to lead the design and development of scalable, secure, and high-performance data platform solutions. This role will be instrumental in shaping the architecture and engineering practices for our enterprise data ecosystem, supporting both B2B and B2C domains.
Key Responsibilities:
Architect and implement cloud-native and cloud-agnostic data platforms using technologies such as Snowflake, Azure, and AWS Redshift.
Lead the design and development of reusable, scalable data products, ensuring high data quality and integrity.
Build and optimize ETL/ELT pipelines using tools like dbt, Apache Airflow, ADF, SnapLogic, and Matillion.
Integrate data from CRM and ERP systems (e.g., Salesforce, PeopleSoft, SAP) and various structured/unstructured sources.
Develop modern APIs for secure data sharing across internal and external applications.
Design and maintain relational and dimensional data models using tools like ERwin and SQL Workbench.
Implement data governance frameworks, including metadata management, data profiling, and validation.
Collaborate with cross-functional teams to align data engineering efforts with business goals and analytics needs.
Support CI/CD pipelines using Jenkins, Azure DevOps, and GitHub for automated deployment and testing.
Apply Python for data manipulation, automation, and orchestration tasks.
Contribute to machine learning workflows and model deployment strategies.
Required Qualifications:
Bachelor s degree in Information Systems, Computer Science, Mathematics, or a related field.
8+ years of hands-on experience in data engineering and platform architecture.
Proven expertise in ETL/ELT, data warehousing, data lakehouses, and data governance.
Strong proficiency in cloud platforms (AWS, Azure) and Agile/DevOps methodologies.
Experience with data orchestration tools (e.g., Airflow, Chronos) and transformation models in dbt.
Excellent communication, problem-solving, and analytical skills.
Demonstrated experience in advanced SQL for data extraction, transformation, and analytics is essential.
Hands-on expertise in managing complex data operations to ensure data reliability, scalability, and compliance across environments.
Solid understanding and practical experience in data governance frameworks, with direct proficiency in Collibra or comparable platforms for data cataloging, stewardship, and policy enforcement.

Preferred Skills:
Experience with Precisely, Openflow, or similar metadata and governance tools.
Familiarity with BI platforms and data visualization tools.
Understanding of statistical analysis and conceptual/logical data modeling.

Resource's typical working day:
This role will work closely with the Data Modeler
This role will be instrumental in shaping the architecture and engineering practices for our enterprise data ecosystem, supporting both B2B and B2C domains.

Must Have Skills:
ETL experience
Data warehousing
Data Lakes
Data coordinates

Nice to have skills:
Experience with Precisely, Openflow, or similar metadata and governance tools.
Familiarity with BI platforms and data visualization tools.
Understanding of statistical analysis and conceptual/logical data modeling.

Years of Experience: 8+ years

Education: Bachelor's in computer science

Software skills:
Strong proficiency in cloud platforms (AWS, Azure) and Agile/DevOps methodologies
Snowflake

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