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Senior Direct Mail Data Processing Jobs in Houston, TX

Sr. Data Engineer

Sugar Land, TX · On-site

$103K - $123K/yr

... ETL processes using tools like Talend to integrate data from various sources. • Analyze existing data systems and recommend improvements or optimizations. • Conduct model training using ...

Administrative Assistant

Houston, TX · On-site

$17.25 - $23.25/hr

Process and distribute lead inquires timely and accurately to Admission personnel. * Assist as ... data entry and special projects as needed. Assist with the execution of direct mail and bulk mail ...

Senior Data Engineer

Houston, TX

$101K - $137K/yr

Ensure our data warehouse processing is optimized for performance. Collaborate with team members to ensure data loads and transformations flow through the system to deliver data according to ...

Senior Data Engineer

Houston, TX · On-site

$150 - $200/hr

Flow Control Group (FCG) is a leading provider of fluid handling, process, and industrial ... FCG is seeking a Senior Data Engineer to work on our Central Data Platform team, utilizing ...

New

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

S3 never asks for money during its onboarding process." Job Title: Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise ...

Showing results 41-60

Senior Direct Mail Data Processing information

See Houston, TX salary details

$15

$54

$77

How much do senior direct mail data processing jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for senior direct mail data processing in Houston, TX is $54.25, according to ZipRecruiter salary data. Most workers in this role earn between $44.52 and $64.28 per hour, depending on experience, location, and employer.

Sr. Data Engineer

AA2IT

Sugar Land, TX • On-site

$103K - $123K/yr

Full-time

Re-posted 20 days ago


Job description

Job Summary:
AA2IT is seeking a skilled and motivated Data Engineer to join their dynamic team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines that facilitate efficient data storage and retrieval, collaborating closely with data scientists and analysts to support advanced analytics initiatives.
Responsibilities:
• Design and implement scalable database solutions to support business needs.
• Develop and maintain data warehouses to ensure high availability and performance.
• Utilize SQL for querying and managing large datasets effectively.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Implement ETL processes using tools like Talend to integrate data from various sources.
• Analyze existing data systems and recommend improvements or optimizations.
• Conduct model training using appropriate frameworks and tools to enhance predictive analytics capabilities.
• Work with big data technologies such as Spark for processing large volumes of data efficiently.
• Write clean, maintainable code in Java for data processing tasks.
Qualifications:
Required:
• Proven experience in database design and management, particularly in relational databases.
• Strong understanding of data warehousing concepts and best practices.
• Proficiency in SQL for database querying and manipulation.
• Familiarity with ETL tools, specifically Talend or similar platforms.
• Experience working with cloud-based storage solutions like Azure Data Lake.
• Knowledge of big data technologies such as Spark.
• A background in model training processes.
Company:
Aamazing IT offers IT solutions, Salesforce consulting, AI, data analytics, and staffing services. Founded in , the company is headquartered in Sugar Land, USA, with a team of 201-500 employees. The company is currently Growth Stage.