Data Engineer & Agentic AI Lead
Analytics
Artificial Intelligence
Automation Developer
Business Analytics
Business Intelligence
Cloud
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Analytics Tools
Data Architecture
Data Engineer
Data Integration
Data Integration Tools
Data Pipeline
Data Platform
Data Processing
Data Visualization
Database
Databases
Digital Marketing
ETL
Hr Technology
Informatica
Information Technology (IT)
Microsoft
Microsoft Power Platform
Power BI
Power Platform
Reporting and Analytics
Software Development
SQL
Visual Design
Job Description
Vaco LLC is hiring for a hands-on Data Engineering role to build and evolve a centralized enterprise data platform with ETL pipelines and data prepared for analytics and future AI use cases.
Responsibilities
- Design, build, and maintain scalable end-to-end ETL and data pipelines
- Ingest data from a variety of internal and external sources
- Clean, transform, validate, and structure large volumes of raw data
- Handle multiple data formats, including Excel, CSV, JSON, ORC, and Parquet
- Load and organize transformed datasets within database and data lake environments
- Design scalable data models aligned to business and analytical requirements
- Build underlying data and semantic layers used for reporting and analytics
- Support the development and expansion of 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 how data needs to be structured and consumed
Requirements
- Strong, hands-on experience in data engineering and ETL
- 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 convert messy or unstructured source data into clean, usable datasets
- Experience 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
Technologies
- SQL, Power BI
- Excel, CSV, JSON
- ORC, Parquet
Location: New York, NY (onsite)
Compensation: USD 150,000 per yearly
EEO Notice
- Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, or any other protected status.
- Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to full inclusion of qualified individuals and will provide reasonable accommodations for persons with disabilities.
- If reasonable accommodation is needed to participate in the application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, contact [email protected].
Representation Notice
- By submitting to this position, you agree that you will provide Vaco by Highspring the exclusive right to present you as a candidate for the employment opportunity.
- You agree to represent information accurately and maintain confidentiality about information learned regarding the position, to the fullest extent permitted by law.
- Vaco by Highspring agrees to exercise reasonable efforts to represent you through solicitation, job screening, and resume dispersal.
- For residents of Ontario, Canada: this position is understood to be a current vacancy (either via Highspring as a contractor or with the client directly).
Privacy Notice
- Vaco by Highspring respects your privacy and provides transparent notice of its policies.
- Submissions to this position may use AI for preliminary candidate screenings focused on minimum job requirements.
- More details about Vaco by Highspring’s AI use can be found at: https://www.highspring.com/ai-use-notices/.
- Additional assessment beyond the initial phase will be conducted by recruiters and hiring managers.
- Vaco by Highspring does not know and cannot opine on whether its client’s use of AI products in hiring.
Pay Transparency Notice
- Compensation for this role depends on factors including skills, experience, training, licensure and certification requirements, office location, geographic considerations, and business needs.
- The provided salary range reasonably estimates base compensation for geographies that require salary range disclosure.
- Discretionary bonuses may be available.