Senior Data Engineer - Enterprise AI & Cloud Data Platform
Design, develop, and optimize scalable cloud-based data pipelines and platforms for enterprise AI initiatives. Lead technical teams and mentor engineers while ensuring data quality, governance, and performance. Requires 10+ years of data engineering experience with Python, SQL, and cloud technologies.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!
This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.
“Beware of scams. S3 never asks for money during its onboarding process.”
Job Title: Data Engineer
Location: Houston, TX
Contract Length: 12+ Months
Pay: 80-90 per hr on W2
Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning solutions.
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The ideal candidate can work independently, solve complex technical problems, provide technical leadership, mentor engineers, and partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise-scale data solutions.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience)
- 10+ years of Data Engineering experience
- Expert-level Python and SQL development
- Experience designing and building scalable ETL/ELT data pipelines
- Strong experience with AWS, Azure, or GCP
- Experience with distributed data processing technologies such as Spark or Databricks
- Experience with data modeling, data architecture, and data integration
- Experience with orchestration tools such as Airflow, Azure Data Factory (ADF), or AWS Glue
- Experience working with both structured and unstructured data
- Experience with CI/CD, Git, and DevOps best practices
- Proven experience designing enterprise-scale data platforms and pipelines
- Experience building data solutions supporting analytics, AI, or machine learning workloads
- Strong troubleshooting and root cause analysis skills
- Demonstrated experience providing technical leadership and mentoring Data Engineers
- Excellent verbal and written communication skills
- Ability to work independently, prioritize competing initiatives, and thrive in ambiguous environments
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Key Responsibilities
- Design, develop, and optimize scalable cloud-based data pipelines and platforms
- Translate complex business requirements into technical solutions
- Partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise AI data solutions
- Lead the design and implementation of scalable, secure, and maintainable data architectures
- Improve existing data infrastructure through automation and engineering best practices
- Ensure data quality, governance, reliability, and platform performance
- Troubleshoot production issues and perform root cause analysis
- Mentor junior and mid-level Data Engineers while providing technical leadership
- Drive engineering standards, documentation, and code quality
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