Senior Data Engineer

INFOTRON, LLC

Berkeley, CA, United States

16 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Compensation

$90,000.0 - $100,000.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Airflow Amazon Web Services Amazon S3 Automation of Tests Code Review Continuous Integration Data Infrastructure Extract Transform Load (ETL) Supervisory Control and Data Acquisition (SCADA) Identity and Access Management Python (Programming Language) PostgreSQL

+16 more

Operational Databases Query Optimization Power BI Standard Sql OPC Unified Architecture Tableau (Software) Enterprise Data Management Amazon Virtual Private Cloud (VPC) Git Amazon Relational Database Service Information Technology Process Control Systems Tools for Reporting Software Version Control Data Pipelines Docker

Job description

We are seeking a Senior Data Engineer to join an innovative company in the industrial technology space. This is an opportunity to own and evolve a production data platform that powers operational insights, reporting, and engineering decision-making., * Design, develop, and maintain scalable data pipelines that support production and engineering operations.

Build reliable ETL/ELT workflows to ingest, process, and model operational and sensor-generated data.
Collaborate with software, controls, and test engineering teams to deliver high-quality datasets for analytics and reporting.
Establish and maintain engineering best practices, including version control, CI/CD, automated testing, documentation, and code reviews.
Support and enhance cloud-based and on-premise data infrastructure.
Evaluate technologies and recommend scalable architectural improvements for the data platform.
Monitor production data workflows and troubleshoot performance or reliability issues.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline (Master’s degree preferred).
6+ years of hands-on experience building and supporting enterprise data platforms in production environments.
Strong expertise in:
Python
SQL
PostgreSQL
AWS (S3, RDS, IAM, VPC)
Apache Airflow
dbt
Docker
Git and CI/CD
Proven experience developing and maintaining production ETL/ELT pipelines.
Strong understanding of data modeling, query optimization, and engineering best practices.

Preferred Qualifications Experience in one or more of the following industries:

Manufacturing
Industrial Automation
Robotics
Automotive
Aerospace
Semiconductor
Energy or Clean Technology

Experience working with:

Ignition
SCADA or Industrial Control Systems
Industrial Historian platforms
OPC UA
DAQ systems
Sensor, telemetry, or time-series data

Experience with reporting tools such as Power BI, Tableau, or Amazon QuickSight is an advantage. What We’re Looking For

Strong analytical and problem-solving skills.
Ability to make sound technical decisions and take ownership of complex data initiatives.
Comfortable working in a fast-paced, collaborative engineering environment.
Excellent communication skills with the ability to work across multiple technical teams.