Data and AI Engineer

🕒 6 days ago

🏛️ District of Columbia, Illinois, +4 more states – Remote

🏛️ District of Columbia – Remote 🌽 Illinois – Remote 🦞 Maine – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote ⚔️ Virginia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RevStar

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

Consulting • B2B • Artificial Intelligence

RevStar is a digital transformation and innovation consultancy that helps organizations move from vision to execution by combining strategic clarity with technical execution. They offer services including strategic growth roadmaps, modern customer journey design, GenAI/AI action plans, data infrastructure, product testing and MVP sprints, and modernization roadmaps. RevStar emphasizes practical, outcomes-driven innovation and partners with leaders in healthcare, insurance, and finance to solve mission-critical challenges.

📋 Description

• Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across AWS, Azure, and GCP • Implement Lakehouse architectures processing structured and unstructured data at enterprise scale • Automate data ingestion, storage, and feature engineering workflows for analytics and real-time AI workloads • Tune Spark jobs for low latency, high throughput, and cloud cost-efficiency • Operationalize AI models inside Databricks using MLflow for tracking, versioning, and deployment • Implement CI/CD pipelines and Infrastructure-as-Code using Terraform and Databricks CLI • Enforce data security, access controls, and compliance standards within Unity Catalog and cloud ecosystems • Collaborate with client technology leaders, product managers, and engineering teams to translate AI data requirements into business outcomes • Author technical documentation and lead solution handoffs to client engineering teams

🎯 Requirements

• 3+ years in cloud-native data engineering • 2+ years of dedicated, hands-on Databricks, Apache Spark, Delta Lake, and MLflow experience • High proficiency in Python, SQL, Spark frameworks, CI/CD, and Infrastructure-as-Code (Terraform or Databricks CLI) • Active Databricks Certified Data Engineer (Associate or Professional) or Databricks ML Professional certification is strongly preferred • Proven track record operating in fast-paced Agile/DevOps consulting environments • Experience delivering cloud-agnostic architectures • Exceptional client communication • Eastern or Central Time Zone preferred

🏖️ Benefits

• Paid Time Off • Remote-First Working Environment • Comprehensive Health Coverage – Medical, Dental, Vision • 401(k) Retirement Plan • Annual Learning & Development Stipend • Peer Mentorship & Coaching • Professional Growth Opportunities • Company Outings & Volunteer Opportunities • Collaborative, Innovative Culture