EI
Senior Data Engineer
Expert In Recruitment Solutions
- 🇺🇸 United States
- On-site
- Senior
- 8 months ago
- GCP
- BigQuery
- Dataflow
- Terraform
- IaC
- PostgreSQL
- Oracle
- NoSQL
- MongoDB
- Python
- Data Modeling
- DLP
8 months ago
Chicago, IL – Onsite– Need Local
Job Description
Senior Data Engineer
We are seeking a Senior Data Engineer to lead the design, development, and maintenance of scalable, high-performance data solutions focused on Data Centralization, Governance, and Integrity. This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services (BigQuery, Dataflow, Dataproc) to build automated, cost-efficient, and complex data pipelines. The ideal candidate will be a technical leader, making key architectural decisions, implementing robust data frameworks, and mentoring junior engineers. This position requires a strong commitment to working full-time onsite (with potential remote flexibility on Fridays) and leveraging data engineering expertise to drive business insights and analytics.
Key Requirements
- Experience & Education:
- 5-6 years of experience as a Data Engineer or in a comparable Business Intelligence role.
- Bachelor of Science in Information Technology, Computer Science, or a related technical field.
- Cloud & Pipeline Expertise (Required):
- Proficiency with GCP (Google Cloud Platform) offering is required
- Expertise in designing and building large-scale, automated data pipelines using GCP native services (e.g., BigQuery, Dataflow, Dataproc).
- Experience with Terraform to create and maintain intermediate to advanced infrastructure-as-code scripts is a plus
- Database & Coding Skills:
- 4-5 years minimum experience with relational databases ( MS-SQL, Postgres, or Oracle).
- 3-4 years of experience with NoSQL databases ( Capella or MongoDB).
- 2-3 years of experience with Python or a similar language.
- Ability to work with multi-statement complex queries and enhance performance/troubleshoot issues.
- Architecture & Governance:
- Proven ability to make key architectural decisions related to data modeling, storage, and real-time processing.
- Experience assisting with data governance, quality, and lineage practices using tools like Data Catalog, DLP, or Cloud Audit Logs.
- Experience translating business requirements into technical design documents.
- Work Schedule & Location:
- Full-time onsite commitment required (Monday-Friday, 8a-5p), with remote flexibility for Fridays pending manager approval.
- Desired Experience (Bonus):
- Experience in the logistics or transportation industry (1-3 years).
- Proven ability to mentor junior engineers and provide technical guidance.
- Experience with monitoring and optimizing GCP resources for cost management.
Senior Data Engineer · Expert In Recruitment Solutions