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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Engineer, Software - **Company:** Objectwin Technology, Inc. - **Location:** Houston, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, ARM Architecture, Cloud Computing, Databases, Computer Engineering, Data Validation, Data Cleansing, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Warehousing, Relational Databases, Github, Apache Hadoop, Apache Hive, Meta-Data Management, NoSQL, Object-Oriented Software Development, Scrum Methodology, Cloud Services, Standard Sql, Scala (Programming Language), Amazon Simple Notification Service (SNS), SQL Databases, Data Streaming, Talend, Scripting, Informatica Powercenter, Snowflake, Apache Spark, Boomi, Informatica Cloud, Data Lakes, Information Technology, AWS Glue, Star Schema, Google Bigquery, Graphql, Data Management, Cloud Integration, Functional Programming, Restful APIs, Amazon Simple Queue Service (SQS), Software Version Control, Data Pipelines, Amazon Redshift - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-engineer-software-houston-tx--4e4401ac-84f2-4496-8e8a-d197381ea07f ## About the Role Database Extract Transform and Load (ETL), Artificial Intelligence (AI), Snowflake Schema, Amazon Web Services (AWS), Data Management, REST (Representational State Transfer), Cloud Computing, Data Warehousing, SQL (Structured Query Language), GraphQL, Design and develop ELT, ETL, Event drivern data integration architecture solutions Work with the Data Analysts, Data Architects, BI Architects, Data Scientists, and Data Product Owners to establish an understanding of source data and determine data transformation and integration requirements Troubleshoot and tune complex SQL Utilize On-Prem and Cloud-based ETL platforms, Cloud Datawarehouse, AWS, GitHub, various scripting languages, SQL, querying tools, data quality tools, and metadata management tools. Develop data validation processes to ensure data quality Demonstrated ability to work individually and as a part of the team in a collaborative manner Qualifications The requirements listed below are representative of the qualifications necessary to perform the job. Education and Experience Bachelor''s degree (or foreign equivalent) in Computer Science, Computer Engineering, or a related field. 8+ years of experience with Data Engineering, ETL, data warehouse/data mart development, data lake development Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience working with Cloud Datawarehouse like Snowflake, Google BigQuery, Amazon Redshift Experience with AWS cloud services: EC2, S3, Lambda, SQS, SNS, etc. Experience with Cloud Integration Tools like Matillion, Dell Boomi, Informatica Cloud, Talend, AWS Glue Experience with GitHub and its integration with the ETL tools for version control Experience with Informatica PowerCenter, various scripting languages, SQL, querying tools Familiarity with modern data management tools and platforms including Spark, Hadoop/Hive, NoSQL, APIs, Streaming, and other analytic data platforms Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc., a plus. Experience with Agile/Scrum is valuable. Other Knowledge, Skills, or Abilities Required Must Speak English. Ability to work with business as well as IT stakeholders. Strong written and oral communication skills with the ability to work with users, peers, and management. Strong interpersonal skills. Ability to work independently and as part of a team to successfully execute projects. Highly motivated, self-starter with problem-solving skills. Ability to multitask and meet aggressive deadlines efficiently and effectively. Extraordinary attention to detail and accuracy. ## Description The Data Engineer/AI Engineer will be responsible for developing ETL and data pipeline using AWS, Snowflake, Snowflake Cortex AI & DBT. The ideal candidate is an experienced data pipeline builder using ELT methodology . They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products., Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Cloud Integration ETL Tools, Cloud Data Warehouse, SQL, and AWS technologies understanding of REST API GraphQL.