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Location: Onsite, Houston, TX (4 days/week, Mon–Thurs) Start Date: 2 weeks from offer for this 6-month contract position. This role focuses on Python development, cloud data integration, and supporting advanced analytics and BI initiatives.

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Apply now: Sr. Data Engineer, Data Solutions Location: Onsite, Houston, TX (4 days/week, Mon–Thurs) Start Date: 2 weeks from offer for this 6-month contract position Job Title: Sr. Data Engineer, Data Solutions Location-Type: Onsite, Houston, TX (4 days/week, Mon–Thurs) (Remote-Fridays) Start Date Is: 2 weeks from offer Duration: 6 month contract (potential to extend) Compensation Range: $70-$85/hr<h3>Role Overview:</h3>Client is seeking a Sr. Data Engineer to build and optimize data pipelines, ETL processes, and cloud-based data architectures. This role focuses on Python development, cloud data integration, and supporting advanced analytics and BI initiatives. You'll collaborate with cross-functional teams to enhance data flows and drive data product innovation.<h3>Day-to-Day Responsibilities:</h3><ul><li>Develop Python modules using Numpy, Pandas, and dynamic programming techniques</li><li>Design, build, and optimize ELT/ETL pipelines using AWS and Snowflake</li><li>Manage data orchestration, transformation, and job automation</li><li>Troubleshoot complex SQL queries and optimize data queries</li><li>Collaborate with Data Architects, Analysts, BI Engineers, and Product Owners to define data transformation needs</li><li>Utilize cloud integration tools (Matillion, Informatica Cloud, AWS Glue, etc.)</li><li>Develop data validation processes to ensure data quality</li><li>Support continuous improvement and issue resolution of data processes</li></ul><h3>Must-Haves:</h3><ul><li>Bachelor's degree in Computer Science, Engineering, or related field</li><li>8 years of experience in data engineering, ETL, data warehouse, and data lake development</li><li>Strong SQL expertise and experience with relational databases</li><li>Experience with Snowflake, Amazon Redshift, or Google BigQuery</li><li>Proficiency in AWS services: EC2, S3, Lambda, SQS, SNS, etc.</li><li>Experience with cloud integration tools (Matillion, Dell Boomi, Informatica Cloud, Talend, AWS Glue)</li><li>GitHub version control knowledge and its integration with ETL pipelines</li><li>Familiarity with Spark, Hadoop, NoSQL, APIs, and streaming data platforms</li><li>Python (preferred), Java, or Scala scripting experience</li><li>Agile/Scrum development experience</li></ul><h3>Soft Skills:</h3><ul><li>Excellent communication and collaboration skills</li><li>Strong problem-solving abilities and attention to detail</li><li>Ability to multitask and meet tight deadlines</li><li>Highly motivated and self-directed</li><li>Comfortable working with technical and business stakeholders</li></ul><h3>Nice-to-Haves:</h3><ul><li>Experience with data quality and metadata management tools</li><li>Exposure to BI platforms and data visualization tools</li><li>Experience in building event-driven data architectures</li></ul>

Mondo

Sr. Data Engineer

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Sr. Data EngineerMondo

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