Data Automation Specialist

Adecco

New York (NY)

Hybrid

USD 48,216 - 55,104

Full time

14 days+

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Job summary

A staffing agency is seeking a Data Automation Specialist for a hybrid role in New York. This position involves automating data workflows, working with large datasets, and collaborating with teams to enhance customer engagement. Ideal candidates will have strong SQL and Python skills and up to 3 years of relevant experience. Attractive pay range is $35-$40 per hour.

Qualifications

0–3 years of full-time experience in Data Analyst, Analytics Engineer or related role.
Experience developing ETL pipelines or using orchestration tools (e.g., Airflow, dbt).
Experience with JSON data handling.

Responsibilities

Leverage SQL and Python to build, transform, package, and deliver data.
Partner with cross-functional stakeholders to translate business requirements.
Automate and optimize workflows to streamline processes.

Skills

SQL

Python

Git

Education

Undergraduate or graduate degree in relevant field

Tools

Amazon S3

AWS SageMaker

Jupyter Notebooks

Job description

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This range is provided by Adecco. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$35.00/hr - $40.00/hr

For decades, our client has been at the heart of helping young people discover the joy and power of reading. Our clients mission-driven culture blends creativity, education, and technology to deliver engaging experiences for students, parents, and educators. From beloved classroom book fairs to innovative digital learning tools, our client bring stories and knowledge to millions of children worldwide.

Adecco is seeking a Data Automation Specialist to join our clients growing team. This role is critical in enabling seamless data workflows behind the scenes to support customer engagement initiatives—such as powering cart reminders and other automated communications. The ideal candidate will be detail-oriented, comfortable moving large datasets across systems, and skilled at building efficient pipelines that translate business needs into reliable data solutions.

This role is hybrid in NYC. Please only local candidates apply. The pay range for this role is between $35-$40hr.

Key Responsibilities

Leverage SQL and Python to build, transform, package, and deliver data that supports core business functions.
Partner with cross-functional stakeholders to understand business requirements and translate them into technical data solutions.
Automate and optimize workflows to streamline repetitive processes and improve data reliability.
Set up and maintain data pipelines to move large datasets efficiently between systems, ensuring accuracy and timeliness.
Contribute to version control and collaborative coding practices using Git.
Support the development of backend data logic for customer-facing features such as automated email triggers and reminders.

Qualifications

Must-Haves:

Proficiency in SQL and Python
Experience with Git for version control
0–3 years of full-time experience in a Data Analyst, Analytics Engineer, or related role

Nice-to-Haves:

Experience with JSON data handling
Familiarity with Amazon S3
Exposure to AWS SageMaker and Jupyter Notebooks
Experience developing ETL pipelines or using orchestration tools (e.g., Airflow, dbt)
Undergraduate or graduate degree in economics, finance, computer science, math, statistics, engineering, or other quantitative disciplines

Who You Are

A problem solver who thrives in translating business needs into technical data solutions.
Highly organized with the ability to manage and move large volumes of data.
Comfortable working independently but also skilled at collaborating with diverse teams.

Seniority level