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:
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.
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