Data Engineer

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San Jose, CA




6+ months

Start Date



MS Azure, ETL, Cloud, Python, Data Structures, Snowflake Cloud Analytics Platform

Reference #


Job Description

We are seeking a Data Engineer for our Data Solution Client in San Jose, CA. This is a 6 month plus contract with possible extension.

Duration: 6 months plus W2 contract

Location: local to San Jose, CA OR full remote within the United States supporting the Pacific Time Zone
Pay Range: $70 – $80/hr + benefits (W-2 only; no Corp to Corp)
The offered compensation to a successful candidate will be dependent on several factors that may include (but are not limited to) the type and length of experience within the industry, education, etc.)

The Data Engineer will partner with team of diverse, smart, and driven data engineers to create a cohesive, high-functioning team that thrives in a fast-paced, high growth environment. You will be a critical enabler of data-driven decision making. This is a hands-on developer position with some time dedicated to team oversight activities as you implement new technologies and tooling in development of the data lake, data warehouse(s) and build our reporting and analytics environment.

This role will help develop and execute the strategy for leveraging modern technologies to develop a high performance, resilient and scalable cloud data platform along with QA and release processes. They will champion a unified architecture and collaborate with BI, platform and security engineering teams to drive the development and delivery of a sophisticated and secure data platform. This position reports into the Director of Data Engineering and Enterprise Reporting.

How you will make an impact:
Be an active, driven team member and leader as you work with a diverse team in the development of our Snowflake Cloud Analytics Platform
Build cross-functional relationships with business and technical stakeholders to understand the data, tools, and governance needed and deliver on those needs
Seek diverse perspectives to drive innovation and create buy-in across stakeholders
Participate in key technical and design discussions with technical leads
Analyze and organize raw data; build data systems and pipelines
Perform complex data analysis
Explore ways to enhance data quality and reliability
Develop and maintain datasets and improve data quality and efficiency
Collaborate with others to plan, schedule, and execute with the goal of increasing value for our stakeholders
Ensuring that all projects have well-defined scope and priority, the right owners/stakeholders, timelines and deadlines
Work with your data engineering peers and cross functional stakeholders to conceive, plan, schedule, and execute roadmaps to make our services more reliable, secure, and scalable
Develop initiatives to improve our engineering processes and culture and make our Data Engineering Organization world class

5 years + of hands on expertise with data engineering, ETL technologies and data warehousing
Understanding and experience with agile software development and management
Strong execution and delivery skills
Solid software development foundations in data structures, algorithms, and architecture patterns preferably in python
Experience coding, architecting, and delivering complex data projects
Ability to define solutions, provide estimates on effort and risk, and evaluate technical feasibility
Proficient with modern build strategies, continuous integration, unit testing, and automated integration tests
Proficient in performing technical code reviews and pair programming
Hands on expertise with public cloud platforms, ideally MS Azure
Excellent critical thinking, problem solving and analytical skills
Excellent communication skills, and the ability to work effectively with others
Excellent people skills to partner with various key business stakeholders
Strong problem solving, quantitative and analytical abilities
Ability to work under pressure in a dynamic environment.

Bachelor’s degree in Computer Science, Information Systems, Economics or another relevant field.
Please apply today!

For more information, please email: #LI-LS1 #LI-DNI

Data Engineer

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