Sr. Data Engineer

Job Description

Job Description

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 : $70-$85 / hr 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