Salary Range: 160000 to 200000 (Currency: USD) (Pay period: per-year-salary)

RETHINK MANUFACTURING

The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.

Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you.

ABOUT THE ROLE

We are looking for a highly skilled Data Engineer & Analyst to join our team, combining data analysis expertise with foundational experience in data engineering. In this role, you will work closely with both data and software engineers to maintain, optimize, and build scalable data systems that drive key business insights and manufacturing operations.

You will be responsible for designing data pipelines, managing large datasets, and ensuring data accuracy and accessibility across the company. You’ll analyze data, develop visual representations for stakeholders, and collaborate with cross-functional teams to ensure that data collection systems are optimized for performance and scalability.

This is a unique opportunity to take on both analytical and engineering responsibilities, shaping the future of Software-Defined Manufacturing.

WHAT YOU WILL BE DOING

Design, implement, and maintain resilient and scalable data pipelines and that process both real-time streaming data and batch workloads, from multiple sources including databases, APIs, message queues, and file systems.
Create and maintain data models, schemas, and metadata to support accurate reporting and advanced analytics across departments.
Developing and maintaining event-driven data processing systems that handle both real-time and historical data
Oversee the performance, and and accessibility of data, translating insights into visual dashboards for business users and technical teams.
Implement data quality checks and monitoring systems to ensure data accuracy and reliability.
Collaborate with product managers, automation engineers, and other stakeholders to define KPIs and ensure data solutions meet business and technical requirements.
Automate data workflows using scripting and orchestration tools (e.g., Airflow) to ensure efficient data processing at scale.
Research and resolve issues related to data quality and performance, implementing best practices for data optimization and documentation.
Lead the implementation of BI and Big Data tools, continuously innovating and enhancing the data infrastructure.
Help define dataset standards and optimize data collection applications for speed and scale.

WHAT WE WANT TO SEE

5+ years of experience in data analysis and/or data engineering.
Bachelor’s degree in Data Science, Engineering, Computer Science, or a related field.
Strong knowledge of data architecture, ETL/ELT processes, and data warehousing solutions.
Proficiency in Python, including experience with pandas, NumPy, and SQLAlchemy for data analysis and data pipeline development.
Expertise in working with various data sources and formats including relational databases, NoSQL databases, JSON, Avro, and Parquet
Experience with version control systems (Git) and CI/CD pipelines
Strong experience with SQL for data querying, including performance optimization techniques (e.g., partitioning, indexing).
Demonstrated ability to transform data into actionable insights, using visual tools to present findings to non-technical audiences.
Ability to manage data systems and collaborate with cross-functional teams to support decision-making.

IT WOULD BE GREAT IF YOU HAD

Experience in manufacturing environments or working with hardware systems.
Master’s degree in Data Science, Engineering, Computer Science, or a related field.
Knowledge of data governance, including data quality frameworks and master data management (MDM).
Knowledge of real-time data processing systems and large-scale data applications.
Experience leading teams or mentoring junior engineers and analysts.
Experience with BI tools and Big Data technologies, including orchestration and workflow management tools (e.g., Apache Airflow, Superset).
Experience with cloud environments like AWS or Azure and familiarity with data platforms such as Snowflake or Databricks.

WHO YOU ARE

You are customer obsessed
You believe in the power of a team, diversity of thought, and unity of action
You always act with integrity, keep your commitments, and practice transparency
You think boldly, lead with courage, and demand the highest standards
You drive for results, and act like an owner

BE EMPOWERED TO CHANGE AN INDUSTRY

We’re looking for people who believe they can personally help modernize a global industry and want to work alongside passionate teammates who share their vision. As a global company working toward a common goal, we have a highly collaborative and inclusive approach to work, striking a balance between celebrating team success and focusing on individual growth.

We exist to transform the way things are made. Join us on the journey.

Bright Machines was named a “Technology Pioneer” by the World Economic Forum, one of “America’s Most Promising Artificial Intelligence Companies” by Forbes, and an Inc. “Best in Business” winner.

Senior Data Engineer

Bright Machines

Compensation Overview

WHAT YOU WILL BE DOING

WHAT WE WANT TO SEE

IT WOULD BE GREAT IF YOU HAD

WHO YOU ARE

6 month growth

1 year growth

2 year growth

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What makes Bright Machines unique

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