Harrison and Star

Senior Data Engineer

Harrison and Star$110K — $120K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-8+ years of experience in data engineering or software engineering.
  • Strong expertise in Python for data processing and automation.
  • Hands-on experience with Apache Airflow for workflow orchestration.
  • Proficiency in AWS Lambda and serverless architecture.
  • Solid experience with DynamoDB, especially in schema design and performance tuning.
  • Strong knowledge of dbt for analytics modeling and transformations.
  • Familiarity with CI/CD practices and version control (Git).

Responsibilities

  • Design and maintain ETL/ELT pipelines using Python and Airflow.
  • Develop serverless workflows with AWS Lambda for data processing.
  • Implement and optimize analytics models using dbt.
  • Design schemas and manage data with DynamoDB and cloud storage.
  • Ensure availability, scalability, and compliance of data systems.
  • Automate infrastructure and CI/CD pipelines for data services.
  • Collaborate with cross-functional teams and mentor junior engineers.

Benefits

  • Health, vision, and dental insurance coverage.
  • 401(k) plan with employer contributions.
  • Stock options for employees.
  • Flexible spending accounts for healthcare and dependents.
  • Generous vacation, sick, and personal leave.
  • Paid parental leave and disability benefits.
Full Job Description
Agency:
RAPP

Job Function:
Data and Analytics

Job Subfunction:
Data Engineering

Job Description:

YOUR ROLE:

We are looking for a Senior Data Engineer with deep expertise in building scalable, cloud-native data pipelines and platforms. The ideal candidate is highly skilled in Python, Apache Airflow, AWS Lambda, DynamoDB, and dbt, and has experience designing reliable data workflows that enable advanced analytics, reporting, and machine learning use cases. The ideal candidate will have strong attention to detail, a passion for information management, and the ability to work collaboratively with creative teams to enhance the efficiency and scalability of our asset workflows.

YOUR RESPONSIBILITIES:

Data Pipeline Development

- Design, build, and maintain robust ETL/ELT pipelines using Python and Airflow.
- Develop serverless workflows leveraging AWS Lambda for scalable event-driven data processing.
- Implement and optimize dbt models for analytics and transformations.

Data Architecture & Storage

- Design schemas and manage data in DynamoDB and other cloud-native storage solutions.
- Ensure high availability, scalability, and performance of data systems.
- Integrate structured, semi-structured, and unstructured data sources.

Automation & Orchestration

- Build workflow orchestration strategies using Airflow for scheduling and monitoring pipelines.
- Automate infrastructure deployment and CI/CD pipelines for data services.

Quality & Governance

- Implement data validation, testing, and monitoring frameworks.
- Ensure compliance with security, privacy, and governance standards.

Collaboration & Leadership

-- Partner with analytics, product, and engineering teams to deliver reliable datasets.
- Mentor junior engineers and enforce best practices in data engineering.
- Actively contribute to improving team efficiency, scalability, and standards.

REQUIRED SKILLS:

- 5-8+ years of experience in data engineering, software engineering, or a related role.
- Strong expertise in Python for data engineering and automation.
- Hands-on experience with Apache Airflow for orchestration.
- Proficiency with AWS Lambda and serverless design patterns.
- Solid experience with DynamoDB (schema design, performance tuning, scaling).
- Strong knowledge of dbt for transformation and analytics modeling.
- Experience with cloud environments (AWS preferred).
- Familiarity with CI/CD workflows, Git, and DevOps practices.
- Strong problem-solving and communication skills.

Preferred Qualifications

- Experience with other AWS services (S3, Glue, Redshift, Kinesis).
- Familiarity with data warehouse and data lake architectures.
- Exposure to real-time streaming and event-driven data pipelines.
- Knowledge of containerization (Docker, Kubernetes).

Soft Skills

- Exceptional attention to detail and organizational skills.
- Strong written and verbal communication skills, with the ability to explain complex metadata systems to non-technical users.
- Ability to work collaboratively and cross-functionally with creative, marketing, and IT teams.
- Proactive problem-solver who can identify issues and suggest improvements.
- Time management skills with the ability to prioritize and manage multiple tasks in a fast-paced environment.

Our hybrid work model:

RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like.

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $110,000 - $120,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.Chicago: $110,000 - $120,000

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.

Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice

About Harrison and Star

Harrison and Star is a healthcare advertising agency that provides marketing and advertising services to pharmaceutical and biotechnology companies. The company offers a range of services including brand strategy, creative development, digital marketing, and market research. Harrison and Star was founded in 1986 and is headquartered in New York, New York.
Learn more about Harrison and Star
Size
500 employees
Industry
Founded
1986
NASDAQ

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