Data Engineer- Consultant AI& E

Deloitte • Jersey City, NJ

7d • $95,000 - $112,000 • Onsite

About The Position

As an experienced Data Engineer-Consultant, you will work collaboratively on client projects as a consultant with limited travel under Deloitte’s Project Talent Model, which is tailored to long-term, onsite client service delivery. You will help design, build, test, deploy, and support data pipelines using Databricks, Apache Hadoop, and Spark, coordinating with business analysts, application architects, and onshore and offshore team members.

The AI & Engineering practice builds, deploys, and operates integrated sector solutions across software, data, AI, networks, and hybrid cloud infrastructure. The AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help clients improve and scale their data, AI, and analytics capabilities.

The estimated salary range is $95,000 to $112,000. The role may also be eligible for a discretionary annual incentive, subject to the program rules and applicable performance factors. Deloitte offers employees a broad range of benefits and opportunities for professional development.

Requirements

• At least 4 years of hands-on data engineering experience.
• Technical skills in SQL, Azure Databricks, and Apache Spark.
• Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or a related IT discipline, or equivalent experience.
• Ability to travel an average of 10%, based on the work performed and clients and industries served.

Nice To Haves

• Analytical and decision-making ability.
• Ability to manage multiple projects and prioritize tasks into manageable work products.
• Ability to work independently or with minimal supervision.
• Excellent written and communication skills.
• Ability to deliver technical demonstrations.

Responsibilities

• Work with Business Analysts to understand requirements.
• Work with the Application Architect to understand the design.
• Build low-level data pipeline specifications in Databricks and Apache Hadoop using Spark.
• Unit test data pipelines.
• Coordinate integration buildout with onshore and offshore team members.
• Support system integration testing (SIT) and user acceptance testing (UAT).
• Support pipeline deployment.
• Support post-production maintenance and monitoring.
• Communicate regularly with Engagement Managers (Directors), project team members, and functional or technical representatives, escalating matters requiring management attention.

Benefits

• Broad range of employee benefits.
• Potential eligibility to participate in a discretionary annual incentive program.
• Professional development and learning opportunities, including mentorship, on-the-job learning, and formal development programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level