Data Engineer

Viaduct; United States; Remote; USD 110,000 - 180,000; Full time

Benefits offered by this job

Kubernetes experience

Experience with ML teams

Open source contributions

Automotive industry exposure

Small, agile teams

Job summary

Viaduct is seeking an early data engineer to build and maintain an end-to-end ETL platform for automotive analytics and ML workloads. You will ensure data quality, reliability, and scalability from ingestion to client integrations, collaborating with ML and data science teams.

The role emphasizes strong Spark, Python/Scala/Java/C++, and distributed data systems experience. You will mentor teammates and help shape data pipelines in a fast-paced, open-source–friendly environment.

Qualifications

• 3+ years as a data engineer.
• Experience as a tech lead or mentor.
• Proficiency in Python/Scala/Java/C++ and SQL.
• 3+ years of experience with Spark or equivalent technologies.
• 2+ years of experience with a workflow scheduler (Airflow, Prefect, Argo, etc).
• 2+ years of experience with distributed file-systems (HDFS, S3, etc).
• Familiar with the open-source data ecosystem (Apache, CNCF, etc).
• Experience with incremental or real-time processing (Delta Lake, Apache Hudi, Kafka Stream, Spark Streaming).

Responsibilities

• Creating and supporting batch, incremental, and real-time ETL pipelines.
• Standardizing ingestion, validation, and cleaning processes across clients.
• Automating data validation to increase data quality.
• Managing and evolving schemas in all parts of our pipeline.
• Monitoring, tuning, and optimizing Spark jobs.
• Becoming a domain‑expert in connected vehicle data.

Skills

Data engineering

Python/Scala/Java/C++

SQL

Spark

Airflow/Prefect/Argo

Distributed file systems

Tools

Delta Lake

Apache Hudi

Kafka

Spark Streaming

HDFS/S3

Job description

Who We Are

We are a diverse and focused team motivated to solve the hardest problems in the automotive industry through machine learning. We have developed an end-to-end machine learning platform to empower automakers to build safer, smarter, and personalized vehicles. Our platform increases connected vehicle data accessibility and actionability for automakers, their partners and their end-customers.

Who You Are

You are a thoughtful engineer. You understand the complexities of distributed systems and how to triage and solve issues that arise with them. Scalability is top of mind when designing any system or writing code. You believe building a better ETL system requires close collaboration with the machine learning and data science teams.

About the Role

As an early data engineer at Viaduct, an analytics and ML platform company, your work is critical to our success. You are responsible for ensuring data quality and reliability in every part of our ETL pipeline, from ingestion to client integrations.

Responsibilities

• Creating and supporting batch, incremental, and real-time ETL pipelines
• Standardizing ingestion, validation, and cleaning processes across clients
• Automating data validation to increase data quality
• Managing and evolving schemas in all parts of our pipeline
• Monitoring, tuning, and optimizing Spark jobs
• Becoming a domain‑expert in connected vehicle data

About You

• 3+ years as a data engineer
• Experience as a tech lead or mentor
• Proficiency in Python/Scala/Java/C++ and SQL
• 3+ years of experience with Spark or equivalent technologies
• 2+ years of experience with a workflow scheduler (Airflow, Prefect, Argo, etc)
• 2+ years of experience with distributed file‑systems (HDFS, S3, etc)
• Familiar with the tools in open‑source data ecosystem (Apache, CNCF, etc)
• Experience with incremental or real‑time processing (Delta Lake, Apache Hudi, Kafka Stream, Spark Streaming, etc)

Security and Privacy Responsibilities

• Follow our policy and procedure documents related to security and privacy
• Follow the security and privacy guidelines in the Employee Handbook
• Participate in new hire and annual training for security and privacy
• Treat data security and privacy as one of your primary job responsibilities
• Report Security Incidents you discover as bugs
• Get approval from the Security Team before adding new 3rd party software to our codebase
• Explicitly consider security implications when doing PR reviews

Bonus

• Experience with Kubernetes
• Experience working with ML teams
• Contributor to open source projects
• Experience in the Automotive industry or a love of cars
• Prior work in small, agile teams