Lead Data Engineer - R01568940

Reposted Yesterday
Hiring Remotely in Seattle, WA, USA
In-Office or Remote
120-125 Annually
Senior level
Information Technology
The Role
Lead Data Engineer to design and build scalable ETL pipelines and data models using Azure cloud (Databricks, Synapse, Data Factory) and big data technologies (Spark, Delta/Parquet). Support real-time and batch lakehouse/warehouse analytics, data quality, and enable datasets for AI/ML and business decision-making.
Summary Generated by Built In
About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Lead Data Engineer

Primary Skills

  • AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions

Specialization

  • Azure Data Engineering Advanced: Senior Data Engineer

Job requirements

  • Data Engineer:

    Brillio is looking for a Data Engineer to join the Data Pipeline team. As a member of the team, you will get to live on the front edge of modern technology by building on things like Databricks, Azure Synapse Analytics and Azure Data Explorer while building ETLs and process in Databricks and Data Factory. You will help build state of the art pipelines and data models that are at the heart of the studio decision-making process. You will be working on large-scale lakehouse and warehouse analytics systems that process data feeds in real-time and batch processes. Your customers will be the business, design, test and development teams and they will look to you to help shape how we capture data to improve our test-driven methodologies and build a culture around data driven development.

    The successful candidate will bring an attention to detail along with modern engineering practices and help us build and support a high quality, modern data architecture at scale.  

    Qualifications:

    • 5+ years’ experience with SQL required.

    • 5+ years’ experience designing and implementing scalable ETL processes including data movement and quality tools.

    • 3+ years’ experience with modern Big Data Analytics using Data Lake, Spark and formats like Parquet.

    • 2+ years’ experience building cloud hosted data systems. Azure highly preferred.

    Preferred:

    ·         Building data pipelines in Azure Databricks/Fabric/Spark.

    ·         Working with data in delta lake format and from Azure Data Explorer/Kusto

    ·         Applying AI/ML to data engineering use cases (feature engineering, feature stores, model training/serving datasets, and model monitoring data pipelines).

    ·         Experience preparing and governing datasets for modern AI applications (LLM/RAG, experimentation/A-B testing, and privacy-aware data access).


 
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Skills Required

  • AKS (Azure Kubernetes Service)
  • Event Hub
  • Azure DevOps
  • Cosmos DB
  • Azure Functions
  • 5+ years experience with SQL
  • 5+ years designing and implementing scalable ETL processes including data movement and quality tools
  • 3+ years experience with Big Data analytics using Data Lake, Spark and Parquet
  • 2+ years building cloud-hosted data systems; Azure highly preferred
  • Building data pipelines in Azure Databricks/Fabric/Spark
  • Working with Delta Lake format and Azure Data Explorer (Kusto)
  • Applying AI/ML to data engineering use cases (feature engineering, feature stores, model training/serving datasets, monitoring)
  • Preparing and governing datasets for AI applications (LLM/RAG, A/B testing, privacy-aware access)

Brillio Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.

  • Healthcare Strength Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
  • Leave & Time Off Breadth Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
  • Wellbeing & Lifestyle Benefits Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.

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The Company
HQ: Santa Clara, CA
2,676 Employees
Year Founded: 2014

What We Do

Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.

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