Data Engineer

We are seeking a Data Engineer passionate about bridging operational technology (OT) and information technology (IT). In this role, you will design and implement scalable data platforms that transform industrial and process control data into actionable intelligence.

You will work at the intersection of data engineering, cloud, and industrial automation, helping build out our Industry 4.0 infrastructure by connecting plant-floor systems (PLCs, SCADA, historians, sensors) to advanced analytics, dashboards, and AI-driven decision-support tools.

Job Duties

- Architect, develop, and maintain data pipelines that integrate IIoT, SCADA, and MES sources into cloud-based data platforms

- Build APIs and microservices to serve real-time and historical process data to analytics and visualization applications

- Develop user-facing applications and dashboards (React, Vue, or similar) for operations, reliability, and performance optimization

- Implement and maintain data models and transformation workflows using modern tools like dbt, Airflow, or Prefect

- Design efficient data storage schemas in time-series and analytical databases (e.g., InfluxDB, TimescaleDB, Snowflake)

- Deploy and manage streaming and messaging infrastructure (MQTT, Kafka, OPC UA servers, or Ignition gateways)

- Collaborate with data scientists, control engineers, and IT/OT teams to support predictive maintenance, process analytics, and digital twin initiatives

- Apply DevOps best practices, including CI/CD for data pipelines, containerization, and infrastructure automation

Requirements

Required Skills

- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related engineering discipline

- 4+ years of experience in software or data engineering, with solid experience in industrial or IIoT data integration

- Expertise in Python, SQL, and API development (REST/GraphQL)

- Familiarity with industrial data protocols (MQTT, OPC UA, Modbus, BACnet) and SCADA/MES connectivity

- Experience with cloud platforms (AWS, Azure, or GCP) for ingestion, storage, and analytics

- Strong understanding of front-end frameworks (React, Angular, or Vue)

- Experience with data orchestration tools and container technologies (Airflow, Docker, Kubernetes)

- Proven ability to design reliable, maintainable, and secure data architectures for OT/IT convergence

Bonus Skills

- Certification through IIoT University's Mentorship or Mastermind Program

- Hands-on experience with Ignition (Inductive Automation), Aveva, or Rockwell Automation ecosystems

- Familiarity with process historians (OSIsoft PI, Canary, Aspen IP.21)

- Background in manufacturing, chemical, or energy operations environments

- Exposure to edge computing architectures or data streaming from embedded or plant-floor devices

Work Environment

- Conditions vary and include:

- Controlled office environment

- Occasional trips to the field

- Travel: 10%-15%

Physical Requirements

- Prolonged periods sitting at a desk and working on a computer

- Must be able to lift to 15lbs pounds at times

Benefits

- Salary, Exempt

- Unlimited PTO

- Paid Holidays

- Insurance: Major medical, dental, and vision for employee and dependents

- Short-Term, Long-Term Disability, and Life Insurance

- 401(k) Retirement Plan with an Employer Match

- Company Credit Card

- Cellular Reimbursement - $100/month

EEO Statement:

Streamline Innovations, Inc. is an Equal Opportunity Employer (EEO) and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Streamline Innovations, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.