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.