Senior Data Engineer

Senior Data Engineer – Full‑time Hybrid, Chattanooga

SONAR/Freight Waves is on the hunt for a curious, tenacious, and team‑oriented Senior Data Engineer to join our fast‑paced engineering team. The ideal candidate is inquisitive, versatile, team oriented, thrives on change, and has a positive attitude. If you are ready to be challenged, learn new and exciting technologies, and have the unique opportunity to work with some of the most talented developers in the country, we want you to apply!

This is a hybrid position based in the Chattanooga area with the expectation of being in the office at least once a week.

• Implementing ingestion pipelines using Airflow as the orchestration platform, for consuming data from a wide variety of sources (API, SFTP, Cloud Storage Bucket, etc.).
• Implementing transformation pipelines using software engineering best practices and tools (DBT).
• Working closely with Software Engineering and Dev Ops to maintain reproducible infrastructure and data that serves both API‑only customers and in‑house SaaS products.
• Defining and implementing data ingestion/transformation quality control processes using established frameworks (Pytest, DBT).
• Building pipelines that use multiple technologies and cloud environments (for example, an Airflow pipeline pulling a file from an S3 bucket and loading the data into Big Query).
• Creating and ensuring data automation stability with associated monitoring tools.
• Reviewing existing and proposed infrastructure for architectural enhancements that follow both software engineering and data analytics best practices.
• Working closely with Data Science and facilitating advanced data analysis (like Machine Learning).

• Strong working knowledge of Apache Airflow.
• Experience supporting a SaaS or DaaS product, bonus points if you were creating new data products/features.
• Strong knowledge of Linux environments and scripting languages.
• Python expert.
• Strong understanding of software best practices and associated tools.
• Experience in any major RDBMS (MySQL, Postgres, SQL Server, etc.).
• Strong SQL skills; bonus points for having used both T‑SQL and Standard SQL.
• Experience with No
  
  SQL (Elasticsearch, Mongo
  
  DB, etc.).
• Multi‑cloud and/or hybrid‑cloud experience.
• Strong interpersonal skills.
• Comfortable working directly with data providers, including non‑technical individuals.
• Experience with the following (or transitioning from equivalent platform services):
• Cloud Storage
• Cloud Pub/Sub
• Big Query
• Apache Airflow
• dbt
• Data Flow

• Experience implementing cloud architecture changes.
• Working knowledge of how to build and maintain APIs using Python/FastAPI.
• Transforming similar data from disparate sources to create canonical data structures.
• Surfacing data to BI platforms such as Looker Studio.
• Data migration experience, especially from one cloud platform to another.
• Certification:
  Professional Google Cloud Certified Data Engineer.
• An excellent work environment, flat hierarchies, and short decision paths.
• A generous benefits package including 100% employer‑paid health, dental, vision and life insurance, STD, LTD.
• Stock options.
• Appealing 401(k) matching plan.
• Personal Development Credit (can be used toward student loans or relevant PD courses).
• Annual life achievement bonus for having a baby, buying a house, or getting married (max one per year).
• No set days off vacation policy (our team takes time off as needed with supervisor approval).
• Up to $50 for gym or virtual gym membership.
• Up to $20 for AI subscription (ChatGPT, Grok, etc.).

Mid‑Senior level.

Full‑time.

Sales, General Business, and Education.

Wireless Services, Telecommunications, and Communications Equipment Manufacturing.

Referrals increase your chances of interviewing at SONAR by 2x.