Sr. Data Engineer

Mondo
Hughson, CA
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: $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:

  • Develop Python modules using Numpy, Pandas, and dynamic programming techniques

  • Design, build, and optimize ELT/ETL pipelines using AWS and Snowflake

  • Manage data orchestration, transformation, and job automation

  • Troubleshoot complex SQL queries and optimize data queries

  • Collaborate with Data Architects, Analysts, BI Engineers, and Product Owners to define data transformation needs

  • Utilize cloud integration tools (Matillion, Informatica Cloud, AWS Glue, etc.)

  • Develop data validation processes to ensure data quality

  • Support continuous improvement and issue resolution of data processes

Must-Haves:

  • Bachelor's degree in Computer Science, Engineering, or related field

  • 8 years of experience in data engineering, ETL, data warehouse, and data lake development

  • Strong SQL expertise and experience with relational databases

  • Experience with Snowflake, Amazon Redshift, or Google BigQuery

  • Proficiency in AWS services: EC2, S3, Lambda, SQS, SNS, etc.

  • Experience with cloud integration tools (Matillion, Dell Boomi, Informatica Cloud, Talend, AWS Glue)

  • GitHub version control knowledge and its integration with ETL pipelines

  • Familiarity with Spark, Hadoop, NoSQL, APIs, and streaming data platforms

  • Python (preferred), Java, or Scala scripting experience

  • Agile/Scrum development experience

Soft Skills:

  • Excellent communication and collaboration skills

  • Strong problem-solving abilities and attention to detail

  • Ability to multitask and meet tight deadlines

  • Highly motivated and self-directed

  • Comfortable working with technical and business stakeholders

Nice-to-Haves:

  • Experience with data quality and metadata management tools

  • Exposure to BI platforms and data visualization tools

  • Experience in building event-driven data architectures

Posted 2025-07-31

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