Data Engineer at suvoda
**Who this is for** This role is ideal for recent graduates or early-career professionals with a strong technical foundation in computer science or mathematics
Work type: onsite
Location: Conshohocken, Pennsylvania
Type: Full-time
Summary
**Who this is for** This role is ideal for recent graduates or early-career professionals with a strong technical foundation in computer science or mathematics who are eager to launch a career in data engineering within the clinical trial technology sector.
**Key highlights** You will work within a collaborative, cloud-native environment, contributing to the development of data mesh architectures, ETL/ELT pipelines, and real-time analytics solutions utilizing the AWS ecosystem.
**You might be a good fit if you...** - Possess strong foundational skills in Python and SQL with the ability to write scripts and queries from scratch.
- Have gained hands-on experience with ETL/ELT workflows and data modeling through academic projects or internships.
- Demonstrate exposure to AWS cloud services or similar cloud platforms.
- Have a curious mindset and a genuine passion for building scalable, reliable data infrastructure.
Job Description
Data EngineerDepartment: Product Development
Reports to: Senior Manager, Data Engineering
Suvoda is seeking a recent graduate with a passion for data and a strong technical foundation to join our Product Development team. This is an opportunity to launch a data engineering career at Suvoda — a global clinical trial technology company where your work directly helps advance human health.
As a Data Engineer, you’ll join a collaborative team building a modern, cloud-native data platform. You’ll help build domain-oriented data products using GraphQL APIs and contribute to near real-time reporting through AWS DMS replication to Aurora PostgreSQL.
Responsibilities:
- Assist in implementing a data mesh architecture using GraphQL APIs to expose domain-owned data products.
- Help build and maintain an AWS-based data lake using S3, Glue, Lake Formation, Athena, and Redshift.
- Develop and maintain ETL/ELT pipelines using AWS Glue and PySpark for batch and streaming data workloads.
- Support AWS DMS pipelines to replicate data into Aurora PostgreSQL for near real-time analytics.
- Follow best practices for data governance, quality, observability, and API design.
- Collaborate with product, engineering, and analytics teams to deliver reliable data solutions.
- Contribute to CI/CD and automation efforts for data infrastructure and pipelines.
- Stay curious — explore emerging tools and share ideas that could make our platform even better.
Requirements:- Bachelor’s degree in technical fields such as Computer Science or Mathematics.
- Strong foundational skills in Python and SQL — you’re comfortable writing queries and scripts from scratch.
- Academic or project experience with data engineering concepts: pipelines, data modeling, or ETL/ELT workflows.
- Exposure to cloud platforms, particularly AWS (coursework, personal projects, or internships all count).
- Familiarity with data structures, distributed systems, or database design — you understand the “why” behind the tools.
- A collaborative mindset and strong communication skills — you ask good questions and explain your thinking clearly.
- A genuine enthusiasm for data and a desire to keep learning in a fast-moving environment.
Nice to Have:- Master’s degree or relevant certifications.
- Experience with event-driven architectures (e.g., Kafka, Kinesis).
- Familiarity with data cataloging and metadata management tools.
- Awareness of data privacy and compliance standards (e.g., GDPR, HIPAA).
- Exposure to agile development and DevOps practices.
We are aware that an individual(s) are fraudulently representing themselves as Suvoda recruiters and/or hiring managers. Suvoda will never request personal information such as your bank account number, credit card number, drivers license or social security number — or request payment from you — during the job application or interview process. Any emails from the Suvoda recruiting team will come from a @suvoda.com email address. You can learn more about these types of fraud by referring to this FTC consumer alert.As set forth in Suvoda’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.If you are based in California, we encourage you to read this important information for California residents linked here.
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