Senior Data Engineer

This is a fully remote position, open to applicants in Florida.

📋 Description

• Design, develop, and enhance data ingestion, transformation, and delivery pipelines to support batch, micro‑batch, and streaming workloads.

• Create ETL/ELT workflows that merge data from enterprise systems, operational platforms, external sources, and commercial applications.

• Implement scalable data processing architectures that facilitate open lakehouse models and medallion-layered data products.

• Ensure that pipelines are dependable, maintainable, cost-effective, and compliant with enterprise engineering standards.

• Develop data models that cater to analytics, reporting, and data product consumption across raw, refined, and curated layers.

• Utilize medallion architecture principles to guarantee data quality, reusability, and consistency across various domains.

• Participate in architectural decisions to achieve a balance between performance, scalability, governance, and operational simplicity.

• Aid in the integration of ERP and enterprise systems, ensuring data consistency and alignment with business processes.

• Establish data quality checks, validation rules, and monitoring frameworks to maintain accuracy and reliability.

• Implement foundational data governance practices, including lineage, metadata management, cataloging, and access controls.

• Collaborate with governance and data product teams to ensure adherence to enterprise standards and regulatory requirements.

• Work with CSA teams, solution architects, and data product leads to convert business requirements into technical specifications.

• Partner with customer engineering and analytics teams to facilitate onboarding, adoption, and operationalization of delivered pipelines.

• Engage in Agile delivery processes, offering technical insights on sizing, sequencing, and implementation planning.

• Clearly communicate technical concepts to both technical and non‑technical stakeholders.

⛳️ Requirements

• Bachelor’s degree.

• Over 5 years of experience in data engineering.

• More than 5 years of experience with open lakehouse architecture in Azure, GCP, AWS, and/or Snowflake.

• At least 5 years of experience in creating automated data pipelines and conducting data modeling.

• Over 5 years of experience in writing SQL, Python, and utilizing modern ETL/ELT frameworks.

🏝️ Benefits

• Health Care Benefits: Medical, Dental, Vision

• Wellness incentives

• Retirement Benefits

• Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation

• Disability: Short-term and long-term disability

• Life Insurance and Accidental Death and Dismemberment

• Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account

• Tuition Assistance