Sr. Data Engineer
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: $50 - $70/hr w2
Role Overview:
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.
Day-to-Day Responsibilities:
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Develop Python modules using Numpy, Pandas, and dynamic programming techniques
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Design, build, and optimize ELT/ETL pipelines using AWS and Snowflake
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Manage data orchestration, transformation, and job automation
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Troubleshoot complex SQL queries and optimize data queries
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Collaborate with Data Architects, Analysts, BI Engineers, and Product Owners to define data transformation needs
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Utilize cloud integration tools (Matillion, Informatica Cloud, AWS Glue, etc.)
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Develop data validation processes to ensure data quality
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Support continuous improvement and issue resolution of data processes
Must-Haves:
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Bachelor's degree in Computer Science, Engineering, or related field
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8 years of experience in data engineering, ETL, data warehouse, and data lake development
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Strong SQL expertise and experience with relational databases
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Experience with Snowflake, Amazon Redshift, or Google BigQuery
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Proficiency in AWS services: EC2, S3, Lambda, SQS, SNS, etc.
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Experience with cloud integration tools (Matillion, Dell Boomi, Informatica Cloud, Talend, AWS Glue)
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GitHub version control knowledge and its integration with ETL pipelines
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Familiarity with Spark, Hadoop, NoSQL, APIs, and streaming data platforms
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Python (preferred), Java, or Scala scripting experience
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Agile/Scrum development experience
Soft Skills:
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Excellent communication and collaboration skills
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Strong problem-solving abilities and attention to detail
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Ability to multitask and meet tight deadlines
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Highly motivated and self-directed
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Comfortable working with technical and business stakeholders
Nice-to-Haves:
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Experience with data quality and metadata management tools
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Exposure to BI platforms and data visualization tools
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Experience in building event-driven data architectures
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