Data Engineer IV- #26-25842

Us Tech Solutions; Charlotte (NC); Hybrid; USD 120,000 - 170,000; Full time

Job summary

US Tech Solutions in Charlotte, NC is seeking a senior data engineer to lead hands-on development of enterprise-scale data pipelines and data warehouses, shaping how data drives decisions.

You will collaborate across locations, set up environments and security controls across AWS, mentor engineers, and ensure data quality, observability, and scalable analytics using Spark, Python, SQL and Generative AI.

Qualifications

• Experience building enterprise data pipelines and data warehouses.
• Strong governance, data quality, and observability practices.
• Experience with real-time analytics and streaming systems.

Responsibilities

• Lead hands-on development with technical direction and code reviews.
• Establish environments, security controls, and migration strategies across AWS accounts.
• Architect and govern data pipelines, ETL, ingestion, and orchestration.
• Identify data gaps and implement scalable automation.
• Design reliable data pipelines with data quality and observability.
• Guide data warehousing initiatives balancing user experience and performance.
• Drive technical decisions and communicate with stakeholders.
• Mentor engineers and build high-performing data teams.

Skills

Python

SQL

Spark

Generative AI

Data Modeling

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Databricks

CI/CD

Job description

• Candidates should be comfortable working in a hybrid environment and collaborating with teams across multiple locations.

Duration: 12 months

Job Description:

• Candidates should be comfortable working in a hybrid environment and collaborating with teams across multiple locations.

Responsibilities:

• Ability to lead hands-on development efforts while providing technical direction, code reviews, and engineering oversight across multiple initiatives
• Experience establishing development environments, infrastructure standards, security controls, and migration strategies across multiple AWS accounts and environments
• Ability to architect, develop, and govern enterprise-scale data pipelines, ETL processes, data ingestion frameworks, and orchestration workflows
• Proven ability to identify data gaps, define strategic remediation plans, and implement scalable automation solutions that improve analytical capabilities across the organization
• Ability to design and implement highly reliable data pipelines with strong focus on data quality, observability, resiliency, and operational supportability
• Experience building and optimizing large-scale data warehousing solutions that prioritize both business user experience and system performance
• Ability to drive technical decision-making, influence architectural direction, and effectively communicate complex technical concepts to both technical and non-technical stakeholders
• Proven track record mentoring engineers, fostering technical growth, and building high-performing data engineering teams
• Experience leading cross-functional initiatives involving data engineering, analytics, architecture, platform engineering, and business stakeholders
• Strong problem-solving and leadership skills with the ability to manage competing priorities in fast-paced enterprise environment

Experience:

• Core Experience and Abilities as described in the job description.

Skillsets:

• Proficiency in Python, SQL, Spark, and Generative AI technologies for scalable data and analytics solutions
• Hands-on experience with AWS, Clienture, Databricks, and cloud-based AI/data platforms
• Knowledge of LLMs, Retrieval-Augmented Generation (RAG), vector databases, and AI-powered search solutions
• Strong understanding of responsible AI, data governance, data quality, security, and AI compliance practices

Qualifications:

• Experience implementing enterprise data governance and metadata management platforms
• Experience with real-time analytics, event-driven architectures, and streaming data platforms
• Knowledge of modern data architecture patterns including Data Mesh, Lakehouse, and domain-oriented design
• Experience leading large-scale cloud transformation or enterprise data modernization programs
• Experience creating AI applications using AWS Bedrock or similar Generative AI platforms
• Experience building AI-ready data pipelines and ML workflows, including feature engineering and MLOps

Certifications:

• AWS Certified Data Engineer, AWS Solutions Architect, or equivalent cloud certifications

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.