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:
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Design, develop, and optimize scalable data pipelines for large-scale enterprise data processing.
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Develop high-performance ETL/ELT workflows using Apache Spark and Python.
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Write efficient, optimized SQL queries for data extraction, transformation, and analysis.
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Build, deploy, and support AI/ML models using modern machine learning frameworks.
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Process and analyze large datasets using Delta Lake and distributed data platforms.
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Design and manage enterprise database solutions while ensuring data quality, integrity, and performance.
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Collaborate with Data Scientists, Data Engineers, Architects, and business stakeholders to deliver data-driven solutions.
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Optimize Spark jobs and distributed processing workloads for scalability and reliability.
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Troubleshoot performance bottlenecks and continuously improve data processing efficiency.
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Contribute to best practices in data engineering, AI/ML integration, and enterprise analytics.
Required Qualifications:
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Strong hands-on experience with SQL and relational databases.
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Proficiency in Python for data engineering and analytics.
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Extensive experience developing applications and data pipelines using Apache Spark.
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Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
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Experience working with Big Data technologies including Delta Lake.
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Strong understanding of distributed data processing and large-scale data architectures.
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Experience integrating and managing multiple enterprise databases.
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Strong analytical, problem-solving, and debugging skills.
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Excellent communication and collaboration abilities.
Preferred Qualifications:
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Experience with cloud data platforms (AWS, Azure, or Google Cloud Platform).
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Experience with Delta Lake architecture and Lakehouse implementations.
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Familiarity with Databricks or similar big data analytics platforms.
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Experience with CI/CD and DevOps practices for data engineering.
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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.