Senior Data Engineer

Engineers and Constructors International Inc.

Houston, TX, United States

19 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

7 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Agile Methodology Microsoft Azure Big Data Information Systems Continuous Integration Information Engineering Data Integration Extract Transform Load (ETL) Decision Support Systems Python (Programming Language) SQL Databases Data Processing

+9 more

Cloud Platform System Azure Data Factory Apache Spark Data Lakes Information Technology Data Management Tools for Reporting Data Pipelines Databricks

Job description

Our client is seeking an experienced Senior Data Engineer to design, build, and optimize enterprise data solutions that enable advanced analytics and data-driven decision making. This individual will lead data engineering initiatives, develop scalable data pipelines, and partner closely with business stakeholders to deliver high-quality data platforms that support current and future business needs., * Design, build, and maintain scalable data pipelines and data integration solutions.

Develop and implement enterprise-grade big data platforms supporting analytics and reporting.
Optimize data processing, storage, and pipeline performance.
Partner with business stakeholders to understand data requirements and translate them into technical solutions.
Lead data engineering efforts across moderate-complexity projects.
Support modern data architecture and identify opportunities to improve development, testing, and deployment processes.
Collaborate with cross-functional teams using Agile methodologies.
Ensure data quality, reliability, and scalability across solutions.
Mentor team members and provide technical leadership when appropriate.

Requirements

This is a hands-on technical role requiring strong cloud data engineering experience, excellent problem-solving skills, and the ability to work independently while collaborating across technical and business teams., * Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).

7+ years of Data Engineering experience.
Strong experience building enterprise data pipelines.
Experience with cloud-based data platforms (Azure preferred).
Hands-on experience with Databricks, Spark, SQL, and Python.
Experience with Azure Data Factory, Data Lake technologies, and ETL/ELT processes.
Familiarity with CI/CD and modern deployment practices.
Strong communication skills with the ability to work directly with business stakeholders.
Experience working in Agile environments., * Experience supporting advanced analytics and reporting platforms.
Experience leading technical workstreams or mentoring other engineers.
Experience working in large enterprise environments.