Data Engineer

Location: Westlake

Time Type: Full time

Job Description

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  Key Responsibilities

• • Design, build, and maintain scalable ETL/ELT pipelines to support analytics and machine learning workloads.

  • Develop and manage robust data models and warehouse structures that support self-service analytics and reporting.

  • Work with stakeholders across the business to understand data requirements and ensure data availability, accuracy, and usability.

  • Implement and monitor data quality and validation checks to maintain trust in our data assets.

  • Collaborate closely with data science and analytics teams to ensure data infrastructure supports model training and deployment.

  • Optimize data storage and query performance across cloud-based and relational systems.

  • Stay current with emerging data engineering tools and architectures and advocate for best practices across the team.

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  Required Qualifications

• • 5+ years of experience in data engineering, data infrastructure, or related fields.

  • Proficiency in SQL and at least one programming language (e.g., Python, Java, Scala).

  • Experience working with cloud data platforms (e.g., AWS Redshift, Snowflake, BigQuery, Databricks, Azure).

  • Strong knowledge of data modeling, data warehousing, and building ETL/ELT pipelines.

  • Familiarity with modern data orchestration tools (e.g., Airflow, dbt).

  • Excellent communication and collaboration skills.

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  Preferred Qualifications

• • Experience with real-time data streaming technologies (e.g., Kafka, Kinesis).

  • Familiarity with CI/CD for data pipelines and infrastructure-as-code (e.g., Terraform).

  • Experience supporting machine learning workflows and model deployment.

  • Background in insurance, financial services, or other highly regulated industries.