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WF

Senior Data Engineer

WF

. Design, develop, and maintain scalable batch and near real-time data pipelines using GCP technologies .

Posted 10/7/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and developing scalable data pipelines using GCP technologies, with a strong focus on data transformation, quality, and governance. Proficient in Python, SQL, and BigQuery, with a solid understanding of data modeling and analytical solutions in finance and regulatory domains.

Highest-signal resume keywords
Data Engineering ExperienceGoogle Cloud Platform (GCP)Python and SQL ProficiencyBigQuery and Dataflow ExpertiseData Quality Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringData TransformationData ModelingETL/ELT DesignQuery OptimizationPerformance TuningData WarehousingBigQuery PartitioningData GovernanceData Observability
Soft Skills
Analytical SkillsProblem-SolvingCommunication Skills
Tools & Technologies
BigQueryDataflowDataprocCloud StoragePub/SubCloud Composer
Industry Keywords
FinanceRiskRegulatoryBankingLendingData MeshData ProductsAgile Delivery

Tech Stack

Tools & technologies
BigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Design, develop, and maintain scalable batch and near real-time data pipelines using GCP technologies
  • Build and enhance enterprise data products using BigQuery and other GCP data services
  • Develop data transformation logic, business rules, and reusable frameworks using Python and SQL
  • Design and optimize data models for analytical, regulatory, and operational reporting
  • Implement BigQuery partitioning and clustering strategies to improve query performance and reduce processing costs
  • Perform data analysis and profiling for solution design, root cause analysis, and data quality remediation
  • Collaborate with product owners, business analysts, architects, and engineering teams to translate business requirements into technical solutions
  • Incorporate data quality, governance, lineage, and compliance requirements into delivered solutions
  • Perform query optimization, performance tuning, and troubleshooting of large-scale data workloads
  • Participate in code reviews, technical design discussions, and continuous improvement initiatives
  • Mentor junior engineers and contribute to engineering best practices
  • Deliver scalable, maintainable data solutions supporting critical business and regulatory initiatives
  • Drive automation, standardization, and reuse across data engineering solutions

Requirements

What you’ll need
  • 4+ years of Data Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
  • 3+ years of hands-on experience developing enterprise data solutions on Google Cloud Platform (GCP)
  • 3 years of experience with Python and SQL
  • 2 years of experience with BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Cloud Composer
  • 3 years of data warehousing, data modeling, ETL/ELT design, and data transformation principles
  • Experience delivering large-scale enterprise data products and analytical solutions
  • Experience supporting Finance, Risk, Regulatory, Banking, or Lending data domains
  • Experience with data quality frameworks and data observability practices
  • Experience implementing metadata lineage and data governance solutions
  • Knowledge of Data Mesh, Data Products, and modern data architecture patterns
  • Experience leveraging AI-assisted development tools
  • Experience optimizing high-volume datasets supporting multi-terabyte analytical workloads
  • Experience with performance optimization, partitioning, clustering, and query optimization
  • Experience working within Agile delivery teams
  • Strong analytical, problem-solving, and communication skills

Benefits

Comp & perks
  • Hybrid work schedule
  • Equal opportunity employment
  • Medical accommodation available during the application or interview process
  • Drug-free workplace