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EY · 2 weeks ago

Databricks Data Engineer - Senior - Consulting - Location Open

Fort Worth, TX

Full-time

Onsite

Mid, Senior Level

$107K/yr - $176K/yr

5+ years exp

EY is a globally connected powerhouse of diverse teams that help build 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 while collaborating with various stakeholders.

AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services

Growth Opportunities

H1B Sponsor Likely

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

Qualification

DatabricksCloud data engineeringData architecture designData pipeline developmentSparkPythonETL processesData modelingCloud platformsClient managementAnalytical skillsCommunication skillsProblem-solvingInterpersonal skills

Required

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

Preferred

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

Flexible vacation policy

Designated EY Paid Holidays

Winter/Summer breaks

Personal/Family Care

Other leaves of absence when needed to support your physical, financial, and emotional well-being

Company

EY

Glassdoor3.8

EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.

Founded in 1989

London, England, GBR

10001+ employees

http://www.ey.com

H1B Sponsorship

EY has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (10242)

2024 (9877)

2023 (10966)

2022 (9394)

2021 (5652)

2020 (8849)