Senior Data Engineer

Position Overview

Omnidian, Inc. is seeking a Senior Data Engineer to play a crucial role in shaping our data infrastructure. This position is ideal for a data professional passionate about sustainability and eager to make a significant impact in a well-funded, growth-stage company. You will design, build, document, and maintain data pipelines to support our Data Warehouse and Data Acquisition (IoT data) systems, while upholding and contributing to the creation of standards for quality and security. You’ll collaborate with cross-functional teams to enhance our data capabilities, supporting our mission to build a more sustainable future through innovative technology and exceptional customer experience.

About Omnidian

Omnidian, Inc. is a fast-growing Series C tech-enabled service company revolutionizing performance assurance for the distributed solar and energy storage industries. We are building a more sustainable future for the planet through our passionate teams, our innovative technology, and by creating an amazing customer experience. We are headquartered in Seattle, WA.

Responsibilities

Data Engineering (80%)

• Build and maintain data warehouse pipelines via Databricks bronze, silver, and gold medallion structures.
• Build and maintain data acquisition pipelines which acquire IoT data from aggregator portals, land and transform the data, and make the data available to consumer services.
• Use knowledge of different programming languages to code and update data systems.
• Write or contribute to technical specification documents as appropriate.

Data Stewardship (15%)

• Create and maintain related data documentation as outlined in Data Governance standards.
• Act as an ambassador for data governance standards when working cross-functionally.
• Participate in code reviews and change management processes.

Continuous Improvement (5%)

• Identify, align stakeholders on, and implement improvements to our processes, code, and/or architecture.

Who You Are

• You have strong data engineering skills and experience (experience with IoT data strongly preferred).
• You are highly analytical and detail-oriented.
• You possess a strong curiosity and a growth mindset.
• You excel in both independent work and team collaboration.
• You are a proactive problem solver with excellent communication skills.
• You show empathy and respect for coworkers, partners, and customers.
• You can give and receive constructive feedback effectively.
• You are adaptable and able to balance quick responses to business needs with strategic, long-term projects.

Experience You’ll Need

• 4+ years of experience building and optimizing data sets, ‘big data’ data pipelines, and architectures.
• Experience successfully delivering large-scale data engineering projects.
• Proficiency with distributed systems like Spark, Kafka, and data lakes.
• Experience working with IoT data.
• Experience with cloud platforms like AWS or Azure.
• Understanding of data modeling principles.
• Proficiency with object-oriented programming languages such as Python or Kotlin.
• Comfortable with SQL.
• Proven ability to perform root cause analysis on processes and data to identify improvement opportunities.
• Demonstrated experience with data transformation, workload management, and metadata.

Experience That's a Plus

• Solar Industry experience.
• Experience with Databricks, including medallion architecture.
• Experience with RDS.
• Experience with Spring Boot.
• Experience with asynchronous programming.

Employment Type

Full-time

Location Type

(Information not provided)

Salary

(Information not provided)

Reporting Structure

This role sits within the Data Management and Infosec team (part of our Engineering department) and will report to our Manager of Data Engineering.

Team Location Preference

Preference to where some of this team is located: Pittsburgh, Seattle, Chicago, Upstate NY, Denver area.