Sr. Data / M/L Engineer

Skill

New York (NY)

On-site

USD 105,386 - 117,096

Full time

14 days+

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Job summary

Skill is seeking a data analyst to design and implement advanced analytical solutions. This hybrid role emphasizes strong SQL skills and proficiency in machine learning, requiring a Bachelor's degree in Electrical or Computer Engineering. The successful candidate will work with data pipelines, ETL frameworks, and BI tools like Power BI and Tableau to support business decisions.

The ideal applicant will have experience in full-stack development and cloud platforms, especially AWS, to set up scalable infrastructure.

Qualifications

Strong SQL and database management experience.
Experience with data pipelines and ETL processes.
Proficiency in machine learning and statistical modeling.
Experience with BI tools like Power BI and Tableau.
Full-stack development knowledge.
Experience with cloud platforms, preferably AWS.

Responsibilities

Design, develop, and implement analytical solutions for business decisions.
Develop data pipelines and ETL processes.
Collaborate with cross-functional teams to define data requirements.
Build dashboards and reports using BI tools.
Write complex SQL queries and manage data in databases.

Skills

SQL and database management

Data pipelines and ETL processes

Machine learning and statistical modeling

BI tools (Power BI, Tableau)

Full-stack development

Cloud platforms (AWS preferred)

Education

Bachelor's degree in Electrical Engineering or Computer Engineering

Job description

Overview

Placement Type: N/A

Salary: $76.50-85 Hourly

Start Date: Jul 13, 2026

Hybrid on site in Union Square, NY. No C2C offered.

Major Objectives

Design and implement advanced analytical solutions
Build and optimize data pipelines and ETL frameworks
Develop machine learning models for predictive and prescriptive analytics
Establish scalable data infrastructure
Enable business teams through insights, dashboards, and reporting

Responsibilities

The applicant will design, develop, and implement analytical solutions to support business decisions, applying statistical and machine learning techniques to large datasets for predictive and prescriptive analysis. They will develop data pipelines and ETL processes, collaborate with cross‑functional teams to define data requirements, and build dashboards and reports using BI tools like Power BI and Tableau. Additionally, the candidate will write complex SQL queries, manage data in relational and SQL databases, and create documentation for data processes, models, and tools.

The role requires full stack knowledge, including front‑end and back‑end components, and the ability to set up new infrastructure. The candidate should understand existing hardware and identify additional needs, run compilers and interpreters, manage new databases, and apply machine learning and AI techniques. Hardware experience is crucial for managing large datasets and developing data pipelines, with familiarity in servers, databases, and cloud platforms like AWS for scalable storage and processing.

This position involves working with large datasets, developing data pipelines, and implementing machine learning models. Hardware experience will be particularly useful for setting up and managing the infrastructure needed to support these tasks, ensuring efficient and reliable data processing.

Required Skills