Data Engineer- Consultant AI& E
Deloitte
- Location
- Hybrid (Jersey City, New Jersey · Jersey City, New Jersey · Jersey City, New Jersey · Jersey City, New Jersey · Jersey City, New Jersey · +46 more)
- Compensation
- $95k - $112k/yr
- Employment
- Full-time
- Level
- Mid Level
About the role
Deloitte's AI & Engineering team seeks a Data Engineer to build and maintain low-level data pipelines using Databricks and Apache Spark. The role involves collaborating with onshore and offshore teams to support deployment, maintenance, and project communication within a collaborative consulting environment.
Skills
Benefits
- Discretionary annual incentive program
- Professional development
- Mentorship programs
- Reasonable accommodations for disabilities
Perks
- Hybrid Work
- Discretionary annual incentive program
- Professional development
- Mentorship programs
Full job details
Data Engineer- Consultant AI& E
Atlanta, Georgia, United States
Austin, Texas, United States
Baltimore, Maryland, United States
Bellevue, Washington, United States
Birmingham, Alabama, United States
Boston, Massachusetts, United States
Charlotte, North Carolina, United States
Chicago, Illinois, United States
Cincinnati, Ohio, United States
Cleveland, Ohio, United States
Columbus, Ohio, United States
Costa Mesa, California, United States
Dallas, Texas, United States
Davenport, Iowa, United States
Des Moines, Iowa, United States
Fort Worth, Texas, United States
Hartford, Connecticut, United States
Hermitage, Tennessee, United States
Houston, Texas, United States
Huntsville, Alabama, United States
Indianapolis, Indiana, United States
Jersey City, New Jersey, United States
Kansas City, Missouri, United States
Los Angeles, California, United States
McLean, Virginia, United States
Mechanicsburg, Pennsylvania, United States
Memphis, Tennessee, United States
Milwaukee, Wisconsin, United States
Minneapolis, Minnesota, United States
Morristown, New Jersey, United States
Nashville, Tennessee, United States
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Philadelphia, Pennsylvania, United States
Pittsburgh, Pennsylvania, United States
Portland, Oregon, United States
Princeton, New Jersey, United States
Raleigh, North Carolina, United States
Richmond, Virginia, United States
Rosslyn, Virginia, United States
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Salt Lake City, Utah, United States
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San Jose, California, United States
Seattle, Washington, United States
St. Louis, Missouri, United States
Stamford, Connecticut, United States
Tulsa, Oklahoma, United States
Westlake, Texas, United States
Position Summary
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer-Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Talent Model. Project Talent Model (PTM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
Work you’ll do/Responsibilities
Work with Business Analysts to understand the requirement
Work with Application Architect to understand the design
Build low level data pipeline specifications in Databricks and Apache Hadoop using Spark
Unit test the data pipelines
Work with other team members (onshore/ offshore) to co-ordinate the buildout of the integration
Support SIT and UAT
Support pipeline deployment
Support post-production maintenance and monitoring
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
The Team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Required Qualifications
- 4+ years of hands-on experience in Data engineering
- Technical - SQL, Azure Databricks, Apache Spark* Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred Qualifications
- Analytical/ Decision Making Responsibilities
- Analytical ability to manage multiple projects and prioritize tasks into manageable work products
- Can operate independently or with minimum supervision
- Excellent Written and Communication Skills
- Ability to deliver technical demonstrations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 95000 to $ 112000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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