Data Engineer Associate

Aretove Inc; New York (NY); On-site; USD 75,000 - 90,000; Full time

Benefits offered by this job

Comprehensive health package

401(k) retirement savings plan

Two weeks PTO

Regular team outings

Professional growth opportunities

Job summary

Aretove Inc is seeking a Data Engineer Associate to join their Business Intelligence Practice in New York City. You will build and maintain data pipelines to deliver impactful insights for clients.

The role requires proficiency in Python and SQL, as well as experience with data modeling and ETL processes. Benefits include comprehensive health packages, a 401(k) plan, and professional development opportunities.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 1+ years of experience, including internships.
• Proven ability to write complex and optimized SQL queries across large and diverse data sets.
• 1+ years of experience programming in Python, preferably in a Linux environment.
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Experience using GitHub or similar version control systems for collaborative, production-level code management.

Responsibilities

• Design, build, and maintain data pipelines and ETL workflows using Python and modern data engineering tools.
• Write, modify, and automate scripts in Python, SQL, and related technologies to support data processing and workflow automation.
• Work with structured and unstructured datasets from APIs, databases, and cloud platforms.
• Assist in implementing data quality, validation, and monitoring processes.
• Contribute to data architecture design and documentation for scalable systems.
• Support deployment and maintenance of AI-powered solutions.
• Integrate and extract data by connecting to third-party APIs.

Skills

SQL query writing

Python programming

Data modeling

ETL processes

Version control systems

Education

Bachelor's degree in Computer Science or related field

Job description

We are seeking a talented Data Engineer Associate to join our Business Intelligence Practice, where you will build and maintain robust data pipelines to deliver impactful insights for our clients.

Project Location(s): New York City

Compensation: $75,000 - $90,000

Responsibilities

• Design, build, and maintain data pipelines and ETL workflows using Python and modern data engineering tools.
• Write, modify, and automate scripts in Python, SQL, and related technologies to support data processing and workflow automation.
• Work with structured and unstructured datasets from APIs, databases, and cloud platforms.
• Assist in implementing data quality, validation, and monitoring processes.
• Contribute to data architecture design and documentation for scalable systems.
• Support deployment and maintenance of AI-powered solutions.
• Integrate and extract data by connecting to third-party APIs, ensuring seamless data acquisition and enrichment.

Skills/Experience

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 1+ years of experience, including internships.
• Proven ability to write complex and optimized SQL queries across large and diverse data sets.
• 1+ years of experience programming in Python, preferably in a Linux environment.
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Experience using GitHub or similar version control systems for collaborative, production-level code management.

Benefits we offer

• Comprehensive health package, including medical, dental, and vision coverage.
• 401(k) retirement savings plan to help you build a secure financial future.
• Two weeks PTO to recharge and enjoy work-life balance.
• Regular team outings and engaging company-sponsored events to foster connection and fun.
• Opportunity to work alongside an experienced, diverse, and forward-thinking leadership team that values innovation and fresh ideas.
• Supportive, collaborative, and mission-driven culture with ample opportunities for professional growth and personal development.