Sr. Data Engineer

job summary:

The senior data engineer will play a role accomplishing the following team goals: Data Centralization, Data Governance, and Data Integrity. They will lead component design and development, work with data science, development and business analytics teams to design scalable data solutions ensuring quality and performance. They will use their data engineering expertise to enable our company to derive insights, perform analytics, and make decisions on the modern data solutions they will help design, build, and maintain.

location: Chicago, Illinois

job type: Contract to Perm

salary: $66 - 74 per hour

work hours: 9am to 5pm

education: Bachelors



responsibilities:

Job Duties:

Design and build large-scale automated and cost-efficient data pipelines that are integrated across multi-platform and disparate data sources using Google Cloud Platform native services (e.g., BigQuery, Dataflow, Dataproc)

Make key architectural decisions related to data modeling, storage, real-time processing, and orchestration

Work with multi statement complex queries and enhance performance or able to troubleshoot issues related to performance

Implement scalable, reusable and efficient data frameworks that ensure data quality, data integrity and performance consistently

Assist in establishing data governance, quality, and lineage practices using tools like Data Catalog, Data Loss Prevention (DLP), or Cloud Audit Logs.

Creates and maintains intermediate to advanced terraform scripts

Mentor junior and mid-level engineers, conduct code reviews, and provide technical guidance on best practices

Translate business requirements into technical design documents and implementation plans

Participate in support rotation and proactively identify issues while implementing issue resolutions as appropriate.

Monitor and optimize Google Cloud Platform resources to manage costs effectively

Stay updated with latest Google Cloud Platform services and features

Evaluate and recommend new tools and technologies to improve data engineering practices

qualifications:

Requirements:

BS in Information Technology, Computer Science or a related technical field

6 - 7 years of experience as a data engineer

Proficient with Cloud offerings primarily with Google Cloud Platform

4 -5 years minimum experience with relational databases such as MS-SQL, Postgres, or Oracle

3 - 4 years of experience with NoSQL databases such as Capella or MongoDB

2 - 3 years Python experience or similar

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.