Data Engineer I
Job Description
Description
We are seeking a motivated and detail-oriented Data Engineer with 2–3 years of experience in modern data engineering and cloud-based data platforms. The ideal candidate will have hands-on experience with Snowflake, dbt, and Fivetran and will be responsible for building, maintaining, and optimizing scalable data pipelines and data models that support analytics, reporting, and business intelligence initiatives. Experience working with media, digital marketing, or programmatic advertising data is a strong advantage. Strong communication skills and the ability to collaborate effectively with cross-functional teams are essential.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using modern ELT methodologies.
- Build and manage data ingestion processes using Fivetran and other integration tools.
- Develop, test, and maintain data transformation models using dbt.
- Design and optimize Snowflake data warehouse solutions for performance, scalability, and cost efficiency.
- Integrate data from multiple sources, including CRM, media, marketing, and third-party platforms.
- Ensure data quality, integrity, and consistency across various business domains.
- Collaborate with business stakeholders, analysts, and engineering teams to gather requirements and deliver data solutions.
- Monitor, troubleshoot, and optimize data pipelines and workflows.
- Create and maintain technical documentation, data dictionaries, and data lineage information.
- Support reporting and analytics teams by providing clean, reliable, and business-ready datasets.
- Adhere to data governance, security, and best practices for data management.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 2–3 years of experience in Data Engineering, Analytics Engineering.
- Hands-on experience with:
- Snowflake
- dbt
- Fivetran
- Strong SQL development and query optimization skills.
- Experience with data modeling concepts such as dimensional modeling, star schema, and fact/dimension design.
- Familiarity with Git and version control practices.
- Python for scripting and automation.
- Experience working in Agile development environments.
- Strong understanding of data quality, testing, and monitoring frameworks.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Understanding of CI/CD practices for data engineering workflows.
- Experience working with API integrations and semi-structured data (JSON, XML).
At Syneos Health, we are dedicated to building a diverse, inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to apply anyway. At times, we will consider transferable skills from previous roles. We also encourage you to join our Talent Network to stay connected to additional career opportunities.
Why Syneos Health Communications? We are powered by Syneos Health, a global professional services organization designed to help the biopharmaceutical industry shorten the distance from lab to life®. We have a proven pedigree in health, with industry titans in every facet of healthcare. This eliminates guesswork and fuels our passion for total, life-changing solutions. At the heart of health, we’re uniquely poised to predict what’s next and respond to the market’s demand for smarter and faster answers. We are able to help our customers make important decisions within their business due to our unique understanding of the complexities that come along with working in the healthcare industry. Syneos Health Communications is able to make the complex, simple.
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