Senior Data Engineer, Data Solutions

Date Posted: 06/17/2025

Hiring Organization: Rose International

Position Number: 484269

Industry: Utility

Job Title: Senior Data Engineer, Data Solutions

Job Location: Houston, TX, USA, 77002

Work Model: Onsite

Shift: M-F 8-5

Employment Type: Temporary

FT/PT: Full-Time

Estimated Duration (In months): 13

Min Hourly Rate($): 70.00

Max Hourly Rate($): 81.00

Must Have Skills/Attributes: AWS, Cloud, Data Warehouse, ETL, GIT HUB, Hadoop, Informatica, Java, Lambda, NoSQL, Python, Scala, SCRUM, Snowflake, Spark, SQL, Talend

Experience Desired: Experienced with data engineering, ETL, data whse, data mart, data lake. (8+ yrs)

Required Minimum Education: Bachelor's Degree

Job Description
Education:
Bachelor's degree in Computer Science, Computer Engineering or related field.

Requirements:
8+ years' experience with data engineering, ETL, data warehouse, data mart, and data lake development.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and familiarity with a variety of databases.
Experience working with Cloud Data Warehouses 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 ETL tools for version control.
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., is a plus.
Experience with Agile/Scrum methodologies is valuable.
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.

Job Summary:
The ideal candidate for this role will be responsible for developing Python modules using Numpy, Pandas, and dynamic programming in AWS and Snowflake.
They will expand and optimize our ETL and data pipeline architecture and data flow across our Business Portfolio.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
The Data Engineer will support our data product owners, developers, data architects, data analysts, and data scientists on BI and Analytic initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.
The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiative.
The candidate will also assist in issue resolution, job orchestration, automation, and continuous improvement of our data integration processes.

Key Responsibilities
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.
Design and develop ELT, ETL, event-driven data integration architecture solutions.
Work with Data Analysts, Data Architects, BI Architects, Data Scientists, and Data Product Owners to establish an understanding of source data and determine data transformation/integration requirements.
Troubleshoot and tune complex SQL queries.
Utilize On-Prem and Cloud-based ETL platforms, Cloud Data Warehouse, 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 part of a team in a collaborative manner.

• **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

• **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**

Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.

California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.

If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.

Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).