Senior Data Engineer

Job Title: Senior Data Engineer

Location: Denver, CO

Employment Type: Contract

Rate: $45–48/hr

We are seeking a highly skilled Senior Data Engineer with expertise in SQL, Python, Apache Spark, AI/ML frameworks, and Big Data technologies to design, build, and optimize scalable data platforms. This role is ideal for professionals who are passionate about developing high-performance data pipelines, working with large-scale distributed data systems, and enabling AI/ML-driven business solutions.

If you have strong experience in modern data engineering, distributed computing, and cloud-scale analytics, we''d love to hear from you.

Top Required Skills:

• SQL & Database Engineering

• Python & Apache Spark

• AI/ML Frameworks & Big Data Technologies

Key Responsibilities:

• Design, develop, and optimize scalable data pipelines for large-scale enterprise data processing.

• Develop high-performance ETL/ELT workflows using Apache Spark and Python.

• Write efficient, optimized SQL queries for data extraction, transformation, and analysis.

• Build, deploy, and support AI/ML models using modern machine learning frameworks.

• Process and analyze large datasets using Delta Lake and distributed data platforms.

• Design and manage enterprise database solutions while ensuring data quality, integrity, and performance.

• Collaborate with Data Scientists, Data Engineers, Architects, and business stakeholders to deliver data-driven solutions.

• Optimize Spark jobs and distributed processing workloads for scalability and reliability.

• Troubleshoot performance bottlenecks and continuously improve data processing efficiency.

• Contribute to best practices in data engineering, AI/ML integration, and enterprise analytics.

Required Qualifications:

• Strong hands-on experience with SQL and relational databases.

• Proficiency in Python for data engineering and analytics.

• Extensive experience developing applications and data pipelines using Apache Spark.

• Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.

• Experience working with Big Data technologies including Delta Lake.

• Strong understanding of distributed data processing and large-scale data architectures.

• Experience integrating and managing multiple enterprise databases.

• Strong analytical, problem-solving, and debugging skills.

• Excellent communication and collaboration abilities.

Preferred Qualifications:

• Experience with cloud data platforms (AWS, Azure, or Google Cloud Platform).

• Experience with Delta Lake architecture and Lakehouse implementations.

• Familiarity with Databricks or similar big data analytics platforms.

• Experience with CI/CD and DevOps practices for data engineering.

• Knowledge of modern data governance and data quality frameworks.

If you are a Data Engineer with expertise in SQL, Spark, Python, AI/ML, and Big Data technologies, we encourage you to apply with your updated resume.