Sr. Data Engineer

3 days ago

Chicago, Illinois, United States VeriiPro Full time $90,000 - $120,000 per year

Job Description

We are seeking a highly skilled Architect / Senior Data Engineer to design, build, and optimise our modern data ecosystem. The ideal candidate will have deep experience with AWS cloud services, Snowflake, and DBT, along with a strong understanding of scalable data architecture, ETL/ELT development, and data modelling best practices.

Responsibilities

  • Architect, design, and implement scalable, reliable, and secure data solutions using AWS, Snowflake, and DBT.
  • Develop end-to-end data pipelines (batch and streaming) to support analytics, machine learning, and business intelligence needs.
  • Lead the modernisation and migration of legacy data systems to cloud-native architectures.
  • Define and enforce data engineering best practices, including coding standards, CI/CD, testing, and monitoring.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions.
  • Optimise Snowflake performance through query tuning, warehouse sizing, and cost management.
  • Establish and maintain data governance, security, and compliance standards across the data platform.
  • Mentor and guide junior data engineers, providing technical leadership and direction.

Required Skills & Qualifications

  • 8+ years of experience in Data Engineering, with at least 3+ years in a cloud-native data environment.
  • Hands-on expertise in AWS services such as S3, Glue, Lambda, Step Functions, Redshift, and IAM.
  • Strong experience with Snowflake – data modelling, warehouse design, performance optimisation, and cost governance.
  • Proven experience with DBT (data build tool) – model development, documentation, and deployment automation.
  • Proficient in SQL, Python, and ETL/ELT pipeline development.
  • Experience with CI/CD pipelines, version control (Git), and workflow orchestration tools (Airflow, Dagster, Prefect, etc.).
  • Familiarity with data governance and security best practices, including role-based access control and data masking.
  • Strong understanding of data modelling techniques (Kimball, Data Vault, etc.) and data architecture principles.

Preferred Qualifications

  • AWS Certification (e.g., AWS Certified Data Analytics – Speciality, Solutions Architect).
  • Strong communication and collaboration skills, with a track record of working in agile environments.

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