Data Engineer

Data Engineer 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.

Job Title: Data Engineer

Location: Houston, TX

Contract Length: 12+ months

Job ref# 247245

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.

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

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