Data Engineer

Are you a builder who thrives in a greenfield environment and wants total ownership of a modern data stack? A rapidly scaling, Series B AI-driven financial automation startup is looking for its foundational Data Engineer to design and construct the core data infrastructure from the ground up. Operating entirely onsite in New York City, you will bring much-needed senior-level maturity to a fast-growing engineering team, shaping the data architecture that drives critical business insights and powers cutting-edge AI systems. We offer a highly competitive compensation package that includes up to 100% employer-covered monthly healthcare premiums for medical, dental, and vision coverage.

As the lead Data Engineer, your day-to-day will involve:

• Designing and implementing the foundational, scalable data warehouse and lakehouse infrastructure to support enterprise-wide KPIs.
• Architecting and maintaining highly reliable batch and streaming data pipelines, pulling from diverse application databases and third-party systems.
• Collaborating directly with executive leadership to translate complex business metrics into robust, actionable data models and schemas.
• Establishing and owning the company's data modeling standards, ensuring data quality, rigorous testing, and comprehensive observability across all pipelines.
• Empowering business intelligence and data analytics teams by building self-serve, cleanly structured datasets.
• Documenting the entire data platform, including lineage and definitions, to establish a singular source of truth for the business.
• Serving as a senior presence and technical anchor, providing architectural guidance and maturity to a rapidly growing engineering team in a dynamic startup environment.

Must-Haves

Willingness and ability to work onsite five days a week in the New York City office.

3 to 5 years of dedicated experience as a Data Engineer, preferably within a fast-paced, mid-stage startup.

Expert-level programming skills in Python.

Exceptional SQL capabilities and a strong background in designing and data modeling for complex analytics.

Extensive hands-on experience with modern cloud data architectures and warehouses (e.g., Snowflake, BigQuery, Redshift, or Databricks).

Proven expertise building production-grade data pipelines with a focus on performance, reliability, and cost optimization.

A builder's mindset with the ability to navigate a greenfield, ambiguous environment and make pragmatic build-versus-buy decisions.

Nice-to-Haves

Deep understanding of modern orchestration and ingestion tools (e.g., dbt, Airflow, Dagster, Fivetran).

Previous experience as an early data hire driving infrastructure at a fast-growing tech company.

Background in B2B SaaS, specifically working with revenue, usage, or customer health metrics.

Experience designing semantic layers and supporting leading BI tools such as Looker, Tableau, Mode, or Metabase.

Familiarity with AWS cloud environments and an appreciation for full-stack engineering principles.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

Salary : $160,000