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[Remote] Databricks Data Engineer - Senior - Consulting - Location OPEN

Remote · USA Full-time New today

Note: The job is a remote job and is open to candidates in USA. EY is a global leader in assurance, consulting, tax, strategy, and transactions, dedicated to building a better working world. They are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks, to design and build analytics solutions that deliver significant business value.

Responsibilities

  • Designing, building, and operating scalable on-premises or cloud data architecture
  • Analyzing business requirements and translating them into technical specifications
  • Optimizing data flows for target data platform designs
  • Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP)
  • Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives
  • Lead end-to-end data pipeline development, including data ingestion, transformation, and storage
  • Ensure data quality, integrity, and security throughout the data lifecycle
  • Provide technical guidance and mentorship to junior data engineers and team members
  • Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts
  • Manage client relationships and expectations, ensuring high levels of satisfaction and engagement
  • Stay updated with the latest trends and technologies in data engineering and cloud computing

Skills

  • A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred
  • Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions
  • 5+ years of experience in data engineering, with a focus on cloud data solutions
  • Expertise in Databricks and experience with Spark for big data processing
  • Proven experience in at least two end-to-end data engineering implementations, including: Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making
  • Strong programming skills in languages such as Python, Scala, or SQL
  • Experience with data modeling, ETL processes, and data warehousing concepts
  • Excellent problem-solving skills and the ability to work independently and as part of a team
  • Strong communication and interpersonal skills, with a focus on client management
  • Strategic Thinking: Ability to align data engineering solutions with business strategies and objectives
  • Project Management: Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope
  • Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively
  • Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption
  • Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies
  • Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes
  • Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients
  • Experience with data quality management
  • Familiarity with semantic layers in data architecture
  • Familiarity with cloud platforms (AWS, Azure, GCP) and their data services
  • Knowledge of data governance and compliance standards
  • Experience with machine learning frameworks and tools

Benefits

  • Medical and dental coverage
  • Pension and 401(k) plans
  • A wide range of paid time off options
  • Team-led and leader-enabled hybrid model
  • Flexible vacation policy
  • Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being

Company Overview

  • EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets. It was founded in 1999, and is headquartered in London, England, GBR, with a workforce of 10001+ employees. Its website is https://www.ey.com/en_ie/entrepreneur-of-the-year.
  • Company H1B Sponsorship

  • EY has a track record of offering H1B sponsorships, with 1567 in 2026, 10235 in 2025, 9877 in 2024, 10966 in 2023, 9394 in 2022, 5652 in 2021, 8849 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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