This is a remote position. Job Title: Data Engineer Location: New York, NY / DC Area 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. You've got the skills, the curiosity, and the hunger to grow. This is the platform to go further. 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 You're the builder, making sure data flows cleanly and reliably. • Design and build pipelines to ingest, transform, and load data • Set up data lakes and warehouses for scalable access • Ensure systems are secure, reliable, and cost-effective • Collaborate with analysts, ML engineers, and platform teams Tools You'll Work With • Python, Spark, Airflow • Snowflake, Databricks, BigQuery, Neo4J • dbt, Fivetran, Terraform • Azure, GCP, AWS What We're Looking For We're on the hunt for people who love solving problems, thinking critically, and staying curious. Less about ticking boxes, more about whether you'd thrive in this environment: • Do you get excited about helping clients move forward? • Do you want to learn from people who are really good at what they do? • Are you keen to experiment with the latest tools and ideas? • Can you balance working independently and being a great teammate? Open to people at different experience levels and career stages. 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.

• Help run the ‘control tower’ of Acxiom’s audience distribution data practice • Manage and maintain the efficient flow and implementation of client first party data assets • Custom audience creation and monitoring overall utilization in support of financial tracking • Work with agency client teams to understand, document, and clarify client data needs • Operate as a cross team liaison ensuring alignment to maximize the operational effectiveness • Track and report on client data intake and activation/syndication along with ad hoc data requests • Engage with client strategists and activation partners to create processes for audience utilization • Collaborate with Product Management and Ad Operations to enable efficient activation of client data • Partner with Finance to accurately track and document usage across agencies and facilitate billing processes.

• Responsible for defining, delivering, and evolving a scalable, secure, and high‑value data platform • Partner closely with engineering, architecture, and business stakeholders • Translate business needs into platform capabilities • Drive adoption and ensure the platform delivers measurable value • Own the platform vision and roadmap • Prioritize features and technical investments

• Design, build, and maintain scalable data pipelines that transform raw data into analytics-ready datasets • Develop clean, structured data models that standardize business metrics and reporting • Implement data quality checks, testing frameworks, and monitoring systems to ensure reliability • Build and maintain integrations with APIs, databases, and third-party tools • Design and manage the data warehouse architecture for scalability and performance • Optimize pipeline performance, cost efficiency, and data processing workflows • Partner with cross-functional teams to translate business needs into technical data solutions