Hands-on role focused on building and evolving a centralized data platform with end-to-end ETL and data pipeline ownership.

Design, build, and maintain scalable end-to-end ETL/data pipelines
Ingest data from a variety of internal and external sources
Clean, transform, validate, and structure large volumes of raw data
Work with multiple data formats, including Excel, CSV, JSON, ORC, and Parquet
Load and organize transformed data within database and data lake environments
Design scalable data models based on business and analytical requirements
Build the underlying data and semantic layers used for reporting and analytics
Help develop and expand a centralized enterprise data platform
Work with datasets that can reach billions of rows
Prepare trusted, well-structured data for downstream use across Power BI, advanced analytics, and future AI applications
Partner with business and technical stakeholders to understand data structuring and consumption needs

Strong hands-on data engineering and ETL experience
Proven experience personally designing and building production data pipelines
Strong SQL skills
Strong experience with data transformation and data modeling
Experience working with large, complex datasets from multiple sources
Ability to take messy or unstructured source data and convert it into clean, usable datasets
Experience working with data lakes, databases, and modern data architectures
Ability to translate business data requirements into scalable technical solutions
Comfortable working independently and owning projects from requirements through implementation

Location: New York, NY (onsite)

Salary: USD 150,000 per yearly

Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex (including pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital statu
Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to full inclusion of all qualified individuals, and will ensure that persons with disabilities are provided reasonable accommodations
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, contact [email protected]
Vaco by Highspring wants applicants to know their rights: workplace discrimination is illegal

By submitting to this position, you agree you will give Vaco by Highspring the exclusive right to present you as a candidate for the opportunity
You represent that information provided is accurate and not affirmatively misrepresented
You agree to maintain confidentiality about information learned about the position, to the fullest extent permitted by law
Residents of Ontario, Canada: based on Highspring’s discussions with its client, this position is a current vacancy (either through Highspring as a contractor or with the client directly)

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Submissions are subject to AI use for preliminary candidate screenings to ensure minimum job requirements are satisfied
More details on AI use are available at https://www.highspring.com/ai-use-notices/
Further assessment beyond the initial AI phase will be conducted by recruiters and hiring managers
Vaco by Highspring does not know and cannot opine on if its client’s use of AI products affects hiring

Compensation for this role depends on multiple factors including skills, experience, training, licensure/certification requirements, office location, and other geographic considerations
The referenced salary range reasonably estimates base compensation for hires in geographies requiring salary range disclosure
Candidate may also be eligible for discretionary bonuses

Data Engineer & Agentic AI Lead

Job Description