Data Engineering Lead

Valiant Technologies LLC; Irving (TX); On-site; USD 84,000 - 120,000; Full time

Job summary

Valiant Technologies LLC in Irving, TX is seeking a senior Data Engineer to design and optimize scalable data pipelines and microservices using Python. You will collaborate with Principal Software Engineers and Data Architects to define solution architecture and align data platforms with enterprise goals.

The role focuses on cloud-native ingestion and streaming solutions leveraging AWS services (Kinesis, S3, DynamoDB, EventBridge) and on ensuring data quality, automated testing, and

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• 8+ years of experience in data engineering or related disciplines with increasing responsibility.
• Extensive experience on large scale data platforms such as Helios Data Platform.
• Strong Python production experience and data pipeline development.
• Strong SQL skills with data quality and validation practices.
• Experience with CI/CD tools such as Azure DevOps, Jira, Jenkins.
• Experience with AWS data services at scale (Kinesis, S3, DynamoDB, EventBridge).

Responsibilities

• Actively collaborate with Principal Software Engineers and Data Architects to define solution architecture
• Lead the solution design and optimization of scalable data pipelines and microservices in Python, enabling both real-time and batch data processing across enterprise platforms
• Drive the development of cloud-native data ingestion and streaming solutions leveraging AWS services including Kinesis, S3, DynamoDB, EventBridge, and related technologies
• Own the design, implementation, and operational excellence of data integration frameworks and source data pipelines supporting CI Autonomy initiatives
• Partner with business, product, and engineering stakeholders to translate complex requirements into scalable data architectures, workflows, mappings, and system designs
• Establish and enforce automated testing, data quality controls, and validation frameworks to ensure integrity, reliability, and compliance across distributed data ecosystems
• Lead operational monitoring, performance tuning, and root-cause analysis of production data platforms using observability tools such as CloudWatch to maintain high availability and service reliability

Skills

Python programming

Data engineering

Leadership

SQL

Data quality

Education

Bachelor's degree in Computer Science/Engineering

Tools

AWS Kinesis

AWS S3

DynamoDB

EventBridge

CloudWatch

Azure DevOps

Jira

Jenkins

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Duration: 8 Months + Extension

Bill Rate: $74/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

• Actively collaborate with Principal Software Engineers and Data Architects to define solution architecture
• Lead the solution design and optimization of scalable data pipelines and microservices in Python, enabling both real-time and batch data processing across enterprise platforms
• Drive the development of cloud-native data ingestion and streaming solutions leveraging AWS services including Kinesis, S3, DynamoDB, EventBridge, and related technologies
• Own the design, implementation, and operational excellence of data integration frameworks and source data pipelines supporting CI Autonomy initiatives
• Partner with business, product, and engineering stakeholders to translate complex requirements into scalable data architectures, workflows, mappings, and system designs
• Establish and enforce automated testing, data quality controls, and validation frameworks to ensure integrity, reliability, and compliance across distributed data ecosystems
• Lead operational monitoring, performance tuning, and root-cause analysis of production data platforms using observability tools such as CloudWatch to maintain high availability and service reliability
• Bachelor's degree in Computer Science, Computer Engineering, or related field
• 8+ years of experience in data engineering or related disciplines with increasing responsibility
• Extensive experience on modern, large scale, complex Caterpillar data platforms such as Helios Data Platform
• Strong foundation developing and deploying Python solutions to a production environment
• Experience leading teams to build high-throughput, scalable data pipelines
• Strong hands-on experience with AWS data services (Kinesis, S3, DynamoDB, EventBridge, etc.) at scale
• Strong in SQL, including data quality and validation practices
• Experience in deploying software using CI/CD tools such as Azure DevOps, Jira, Jenkins, etc.
• Experience developing microservices that support real-time data ingestion
• Experience developing software applications using relational and noSQL databases
• Ability to ensure data integrity across distributed and streaming systems
• Experience with monitoring, testing, and automation in large-scale data environments

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.