Sr. Data Engineer

Talent Connection; Pleasanton (CA); Remote; USD 120,000 - 160,000; Full time

Job summary

A leading retail company is seeking a Sr. Data Engineer to enhance their data solutions. The successful candidate will design and develop scalable data pipelines, ensuring high performance while collaborating with cross-functional teams. Ideal for professionals with strong cloud and programming skills, eager to make an impact in an innovative environment.

Qualifications

• 7+ years data engineering and pipeline development experience.
• Strong programming skills in Java and Python.
• 5+ years data modeling for data warehousing.

Responsibilities

• Develop and maintain data pipelines for cloud platforms.
• Lead data modernization projects and provide technical guidance.
• Collaborate with teams to ensure efficient data flows.

Skills

Data Engineering

Data Modeling

Java

Python

Data Orchestration

Cloud Data Platforms

Azure

Snowflake

Communication

Education

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Information Systems

Bachelor’s Degree in Engineering

Bachelor’s Degree in Business Analytics

Tools

MicroStrategy

Power BI

Streamsets

dbt

Job description

Join Our Client's Team as a Sr. Data Engineer!

At Talent Connection, we excel at matching exceptional talent with leading employers. We are currently seeking a Sr. Data Engineer to join our prestigious client’s team and help drive their innovative data solutions.

About Our Client: Our client is a leading retail company renowned for their extensive network of over 2,000 stores nationwide.

Job Description

Position Overview: As a Sr. Data Engineer, you will be pivotal in developing and maintaining data solutions that enhance our client's reporting and analytics capabilities. You will leverage a variety of data technologies to construct scalable, efficient data pipelines that support critical business insights and decision-making processes.

Key Responsibilities:

• Architect and design data pipelines that meet reporting and analytics requirements.
• Develop robust and scalable data pipelines to integrate data from diverse sources into a cloud-based data platform.
• Convert business needs into architecturally sound data solutions.
• Lead data modernization projects, providing technical guidance and setting design standards.
• Optimize data performance and ensure prompt resolution of issues.
• Collaborate with cross-functional teams to create efficient data flows.

Qualifications

Required Skills and Experience:

• 7+ years of experience in data engineering and pipeline development.
• 5+ years of experience in data modeling for data warehousing and analytics.
• Proficiency with modern data architecture and cloud data platforms, including Snowflake and Azure.
• Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Analytics, or a related field.
• Strong skills in programming languages such as Java and Python.
• Experience with data orchestration tools and DevOps/Data Ops practices.
• Excellent communication skills, capable of simplifying complex information.

Preferred Skills:

• Experience in the retail industry.
• Familiarity with reporting tools such as MicroStrategy and Power BI.
• Experience with tools like Streamsets and dbt.

Additional Information

Work Environment: This position offers the flexibility to work remotely from anywhere within the United States.

If you are a skilled data engineer eager to make a significant impact within a dynamic and supportive environment, we want to hear from you!

All your information will be kept confidential according to EEO guidelines.