Sr. 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. bility to work with multi-statement complex queries and enhance performance/troubleshoot issues. rchitecture & 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. Job Responsibilities • Design and build large-scale automated and cost-efficient data pipelines that are integrated across multi-platform and disparate data sources using GCP 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 • ssist 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. DDITIONAL DESIRED DUTIES/RESPONSIBILITIES: • Monitor and optimize GCP resources to manage costs effectively • Stay updated with latest GCP services and features • Evaluate and recommend new tools and technologies to improve data engineering practices

Created: 2026-03-04