Data Engineer
Solomon Page Group
New York, United States
Posted 11 hours ago Hybrid Job Permanent $190k - $210k
T
POSTED BY
Tony Carr
Recruiter
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We are looking for a Data Engineer to ingest and analyze large amounts of raw information that will help improve ourpany and help with decision-making. We will rely on you to build data products to extract valuable business insights. In this role, you will be responsible for the entire data analysis lifecycle, from transforming raw data to creating insightful visualizations and reports. You will wrangle, cleanse, and transform large datasets to prepare them for AI consumption. You will also develop and implement data pipelines to automate data ingestion, processing, and delivery for AI models. Integrate with data platforms and tools to ensure efficient and scalable data processing for AI initiatives. You will also play a key role in developing and maintaining the data infrastructure that supports our analytics efforts. In this role, you should be highly analytical and passionate about analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. Experience with AI, machine learning, and research is a big plus. Your goal will help ourpany analyze trends to make better decisions.
Salary: $190-$210K
Hybrid role, expected to be in NYC office 3 days a week
Responsibilities:
Design, develop, and implement data pipelines to collect, clean, and transform data from various sources
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Assist with data labeling and tagging
Analyze large amounts of information to discover trends and patterns
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Perform feature engineering for AI applications
Required Qualifications:
BS/ MS /PhD in Computer Science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred
5 + years of experience as a Data Scientist or Data Analyst
Experience in data mining
Understanding of machine learning and operations research
Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus
Experience using ELK Stack (Elasticsearch, Logstash, Kibana)
Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
Experience with AI/ML-based solutions for data analysis is a big plus
Analytical mind and business acumen
Strong math skills (e.g. statistics, algebra)
Superb analytical and problem-solving skills
Excellent collaboration andmunication (Verbal and written) skills
An innovative mindset with a drive to improve upon existing systems
Outstandinganizational and time management skills
Key skills that are a must have:
Build Data Pipelines
ETL experience
Python
Data Visualization experience with either Tableau or Power BI
If you meet the required qualifications and are interested in this role, please .
The Solomon Page Distinction
Our teams,prised of subject matter experts, develop an interest in your preferences and goals and we act as an advisor for your career advancement. Solomon Page has an extensive network of established clients which allows us to present opportunities that are well-suited to your respective goals and needs - this specialized approach sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects ananic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage and connect with us on , and .