bizfirst1mo ago
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Senior Consultant, Data Engineer
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Overview
Job Title: Senior Consultant, Data Engineer Work Style/ Location: Hybrid (3 days in office), NY or DC Type: Full-Time Sector: Data, AI & Analytics Position Overview BizFirst is supporting our client in identifying a Data Engineer to join a growing consulting team working across industries, clients,…
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Job Title: Senior Consultant, Data Engineer Work Style/ Location: Hybrid (3 days in office), NY or DC Type: Full-Time Sector: Data, AI & Analytics Position Overview BizFirst is supporting our client in identifying a Data Engineer to join a growing consulting team working across industries, clients, and technologies. This role is best suited for a strong mid-level data engineer who can help translate business needs into practical technical solutions. We're open to two equally strong profiles: a Data Engineer with external consulting experience, or an internal Data Engineer who has worked directly with business stakeholders such as Marketing, Sales, and Product to define requirements and support the buildout of data platforms and solutions. Our client is a fast-growing global data and AI consultancy with operations across three continents and 140+ consultants serving 70+ enterprise clients. They've built a consultant-first culture with a proprietary learning academy, paid certifications, and deep partnerships with platforms like Snowflake, Databricks, and Google Cloud. The US office combines the credibility of an established global brand with the energy of a New York startup. Your Career, Accelerated You're not just taking a job, you're investing in your growth. You'll work across industries and client engagements that stretch your thinking. You'll have access to proprietary playbooks and toolkits that fast-track your success on projects. And you'll always have a principal consultant who has your back, not just be thrown into the deep end. What You'll Do Work with clients, internal teams, and business stakeholders to understand data needs and translate them into practical technical solutions Help design and deliver modern data platforms, including cloud migrations, data models, and scalable analytics foundations Build and maintain data ingestion, transformation, and orchestration workflows as part of broader platform solutions Contribute to reliable, secure, and cost-effective data environments across cloud ecosystems Partner with analysts, ML engineers, platform teams, and business stakeholders to support reporting, analytics, and AI use cases Tools & Tech Stack Languages & Frameworks: Python, SQL, Spark Data Platforms: BigQuery, Snowflake, Databricks, or similar modern platforms Transformation & Ingestion: dbt, Coalesce, Fivetran, Terraform, or similar tools Cloud: GCP; Azure, GCP, AWS What We're Looking For We're open to people at different experience levels and career stages. We're on the hunt for people who love solving problems, thinking critically, and staying curious. The right person for this role brings a mix of technical depth, platform adaptability, and the ability to work effectively across technical and business teams: 4+ years of experience in data engineering or modern data platform delivery Bachelor's degree in a technical field Strong fundamentals in data modeling, data architecture, and platform migration Hands-on experience with modern data platforms or cloud ecosystems Ability to gather requirements, work directly with clients or internal stakeholders, and translate business needs into technical solutions Demonstrated experience working cross-functionally with stakeholders such as Marketing, Sales, and Product Comfortable building data workflows while also thinking through the broader platform, architecture, and stakeholder picture Ability to balance working independently and being a strong teammate in a fast-moving environment Curiosity and a genuine interest in learning new tools, patterns, and approaches These aren't requirements, but if any of these describe you, we'd love to hear about it: Experience with data architecture design, governance, or platform modernization Certifications in any of the key platforms or tools, such as SnowPro, dbt, GCP Professional Data Engineer, or Databricks Exposure to ML pipelines, MLOps, or AI-adjacent data engineering Perks & Benefits Your work matters, and so do you. Here's what's waiting: Proprietary learning academy with 100+ custom modules Mentoring program with a Senior Support Lead 360-degree progress reviews with real feedback, not fluff Guilds, regular training, and peer learning Paid certifications across all major platforms Hackathons and innovation days Kudos and recognition programs Socials, book clubs, Data & Drinks, and team building days About BizFirst BizFirst is a recruiting firm built for companies that got tired of being account #47. We place talent across AI and data, GovCon, finance and operations, and telecom infrastructure. Every search is led by a senior Delivery Lead managing just 3 to 4 clients total. The result: candidates in days, a single point of contact from kickoff to placement, and a 94% retention rate past 90 days.
Location & Eligibility
Where is the job
New York, United States
On-site at the office
Listing Details
- Posted
- March 30, 2026
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 4%
- Scored at
- May 6, 2026
Signal breakdown
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