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Data Engineer

Are you smart, driven, curious, resourceful, and not afraid to fail, then we want to meet you! Our team of bold, innovative, and creative teammates is what makes us a top startup to work for. SONAR delivers news and commentary as well as data and analytics which empower risk management and actionable market insights in the logistics and supply chain industry. If you are ready to join our team, it is time for YOU to apply!

SONAR is on the hunt for a curious, tenacious, and team-oriented 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!

What you will be doing:

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 DevOps 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 BigQuery)
Create and ensure data automation stability with associated monitoring tools.
Review 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)

What you bring to the table:

3+ years of Data Engineering experience
Strong working knowledge of Apache Airflow
Proficiency in Python for writing DAGs & cloud functions
Experience supporting a SaaS or DaaS product, bonus points if you were creating new data products/features
Strong in Linux environments and experience in scripting languages
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 NoSQL (Elasticsearch, MongoDB, 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 Pubsub
BigQuery
Apache Airflow
dbt
DataFlow

Bonus knowledge/experience:

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
Experience with R
Orchestration methodologies - Kubernetes, Helm
Infrastructure as Code - Terraform, etc.
Experience working with MCP Servers, Claude plugins, etc.

Our Benefits:

An excellent work environment, flat hierarchies, and short decision paths.
A generous benefits package including 100% employer-paid options for health, dental, vision insurance. Life insurance, STD, LTD employer-paid.
Stock options
Appealing 401k matching plan
Career Mentorship Opportunities
Personal Development Credit (Can be used toward Student loans or relevant PD Courses)
Annual life achievement bonus of $2000 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.
Audible or Kindle Unlimited subscription
Flexible work options, hybrid or remote work available.

Preference for Chattanooga, or regional area such as Knoxville, Atlanta, Nashville, or Birmingham.

Hybrid - expectations to come into the office twice a month

SONAR is an equal opportunity employer.

Benefits: