Data Engineer

Hearts & Science; New York (NY); On-site; USD 50,000 - 95,000; Full time

Job summary

Hearts & Science in New York is seeking an experienced Data Engineer to build, optimize, and maintain ETL workflows and data warehouse solutions on AWS. You will work with Analytics, Data Science, IT, and Investment teams to deliver batch and real-time data solutions.

The role requires hands-on experience with Python, SQL, and cloud data services, plus the ability to navigate legacy code and complex transformations. This is a hands-on position in a collaborative environment.

Qualifications

• Bachelor’s in Computer Science or related STEM field.
• 3+ years building data pipelines with ETL tech stack and big data technologies.
• 3+ years of Python programming in a Linux environment.
• Experience deploying production cloud services in AWS (EC2, S3, Redshift).
• Ability to translate high level business requirements into data solutions.
• Ability to work in a cross‑functional team with multiple business units/partners.
• Experience with advertising/media data and knowledge of media metrics is a plus.
• Experience with Google Cloud products, Jira, and Tableau is a plus.

Responsibilities

• Contribute to the growth of the enterprise data warehouse by collaborating with stakeholders to deliver accurate data for reporting and decision making.
• Assist in developing long-term data warehouse strategies and capacity planning.
• Meet with end-users and data SMEs to clarify requirements for ETL/ELT processes.
• Collaborate with Data Engineers to support CI/CD pipelines and Git workflows.
• Mentor junior Data Analysts and review planned workflows before deployment.
• Investigate and correct data discrepancies between EDW and sources.
• Build relationships with internal/external data delivery points to ensure data needs are met.
• Document ETL processes and contribute to the team knowledge base.

Skills

SQL

Python

ETL design

AWS

Big Data

Data Warehousing

Communication skills

Education

Bachelor's degree in Computer Science or related STEM field

Tools

AWS

Redshift

Tableau

Jira

Google Analytics datasets

Job description

Agency

Hearts & Science

Job Function

Data and Analytics

Job Subfunction

Data Science and Analytics

Job Description

Role Overview

This role will be reporting to the Senior Director, Data Engineering and be part of Data Engineering Team who build, enhance and optimize ETL (Extract, Transform, Load) jobs, implement automated data warehouse solutions, conduct QA and manage day-to-day tasks. The candidate must have data warehouse, data pipeline design/development, SQL, AWS Cloud and Big Data Technologies experience. As a Data Engineer, you will have the opportunity to contribute to end-to-end platform design for our cloud architecture and work multi-functionally with our Analytics, Data Science, IT and Investment teams to build batch and real-time data solutions. This is a very hands‑on position, requiring extensive experience developing workflows in Python, willingness to dive into legacy code repositories and maintain complex data transformation processes on AWS cloud. Good decision‑making, time management, prioritization and escalation skills are traits needed to ensure continued success in this role.

Key Responsibilities

• Contribute to the growth of the enterprise data warehouse (EDW) by working alongside stakeholders to produce accurate information within database objects used in reporting, strategic planning and decision making
• Assist the Senior Director in developing long-term strategies and capacity planning for meeting future data warehouse and data automation needs
• Meet with end-users and data SMEs to clarify requirements and business rules needed to design, develop and implement ETL/ELT processes
• Collaborate with peer Data Engineers to build upon and support our CI/CD pipelines hosted within our extensive GIT repository
• Mentor our emerging Data Analysts, including providing feedback and suggestions for their planned workflows prior to deployment into production
• Respond, investigate and correct reported data inaccuracies within the EDW compared to source and business-expected results
• Establish relationships with external and internal POCs to ensure seamless inbound and outbound Data Delivery expectations are met
• Implement and support backend maintenance processes that enforce ongoing data optimization and corporate retention policies while ensuring the historical data needs of the client are met
• Document and maintain all the processes and procedures pertaining to ETL and data warehouse usage/development, contributing to the team knowledgebase when applicable

Qualifications

Education & Technical Experience Requirements

• Bachelor’s in Computer Science or similar technical degree within a STEM field
• 3+ years of hands‑on experience in building data pipelines using traditional ETL tech stack, platform APIs and big data technologies
• 3+ years of experience in programming languages including as Python and working within a Linux based environment
• Experience designing, deploying and supporting production cloud services in AWS ecosystem including EC2, S3 and Redshift
• Can speak to concepts and designs/benefits to multiple audiences as well as interpret high level business requirements from conversation
• Able to work within a cross‑functional team environment with people from multiple business units, vendors, countries, and cultures
• Working experience within the advertising/media industry with knowledge of basic media math
• Experience in Social Media Datasets such as Twitter, Facebook, Instagram is a plus
• Experience in Google Campaign Manager, Xandr, or Adobe Analytics datasets is a plus
• Experience with Google Cloud products is a plus
• Experience with Microsoft PowerAutomate is a plus
• Experience using Project Management tools such as Jira is a plus
• Experience creating data visualizations and using tools such as Tableau is a plus
• New York: $50,000.00-$95,000.00

Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

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For US Job Seekers

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New York: $50,000.00-$95,000.00