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Data Engineer I

Job Summary

Designs, evaluates, and tests data infrastructure. Builds systems and infrastructure that collect and process data according to company needs and goals. Specializes in creating robust, scalable ETL processes and integrations with RestAPI and JSON-RPC APIs for efficient data ingestion and processing. Develops and maintains the infrastructure to support data workflows and analytics platforms. Utilizes and enhances existing data infrastructure for comprehensive data management tasks including data housekeeping, cleansing, normalization, and hashing. Troubleshoots issues, proposing and implementing effective solutions.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes for efficient data ingestion, processing, and analysis from a variety of sources, including custom code integrations with RestAPI and JSON-RPC APIs.
  • Implement and refine algorithms for data classification, anomaly detection, and information extraction to enhance data quality and utility.
  • Enhance and optimize data architecture to support both real-time and batch data processing, ensuring high performance and scalability.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions, including data model designs and API integrations.
  • Troubleshoot and resolve data-related issues, providing support and guidance to ensure continuity and efficiency of data operations.
  • Proactively identify opportunities for data infrastructure improvements and innovations to support business growth and efficiency.
  • Contribute to the development and implementation of data governance and quality frameworks to maintain high standards of data integrity and reliability.
  • Perform other duties as assigned, such as ancillary automation tasks.

Note: This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.



  • Proficient in ETL process design, development, and optimization.
  • Strong understanding of data modeling, warehousing, and management concepts.
  • Knowledgeable in scripting and automation tools, with proficiency in languages such as Python, SQL, and Shell scripting.
  • Familiarity with cloud services and infrastructure (Azure & AWS) for data processing and storage.
  • Ability to work independently and in a team, with excellent problem-solving and troubleshooting skills.
  • Experience with version control systems, such as Git, for managing changes to codebase and documentation.
  • Ability to read and understand technical manuals, procedural documentation, and OEM guides.
  • Able to work independently and communicate clearly.
  • Ability to define problems, collect data, establish facts, and draw valid conclusions.
  • Ability to effectively prioritize and execute tasks in a high-pressure environment.


  • Adaptability: Quickly adjust to new information, changing conditions, or unexpected obstacles.
  • Technical Proficiency: Maintains an advanced level of technical knowledge and skills in the field of data engineering.
  • Innovation: Actively seeks new ways to grow and be challenged using both formal and informal development channels.
  • Documentation & Data Integrity: Consistently adheres to established procedures for data input, organization, maintenance, and timeliness into designated systems/databases in order to ensure data accuracy and reliability.
  • Goal Setting: Holds team members responsible for SMART goals that align with departmental business objectives enabling teams to work towards a common goal.
  • Critical Thinking: Evaluates information by questioning assumptions and reflects on all options and risks in order to make informed decisions.
  • Problem Solving: Consistently applies sound problem solving in order to ensure smooth flow of goods and services.
  • Strategic Planning: Contributes to strategic implementation of daily processes, considering timelines, risks, and resources in order to accomplish goals.
  • Monitoring: Tracks, reviews and reflects on relevant data in order to effectively evaluate progress towards goals.

Education & Experience

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field preferred.
  • 3+ years of experience in a data engineering role, with a proven track record of developing and managing ETL processes, data pipelines, and integrations.
  • Experience with data processing frameworks and tools (e.g., Apache Spark, Hadoop, Airflow, Databricks).
  • Experience with productivity software such as Microsoft Outlook, Word, Excel, etc.


  • Must be at least 21 years of age.
  • Must be able to travel 25% of the time.

The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Prolonged periods of standing, sitting at a desk, and working on a computer
  • Ability to get in and out of vehicle and walk up and down stairs during your shift.
  • Must be able to stand, sit for prolonged periods of time, bend, kneel, squat, and twist.

Benefits & Compensation

All employees are provided competitive compensation, paid training, and employee discounts on our products and services.

We offer a range of benefits packages based on employee eligibility*, including:

  • Paid Vacation Time, Paid Sick Leave, Paid Holidays, Parental Leave.
  • Health, Dental, and Vision Insurance.
  • Employee Assistance Program.
  • 401k with generous employer match.
  • Life Insurance.
  • Additional details about compensation and benefits eligibility for this role will be provided during the hiring process.


We are setting the industry standard to influence and inspire through our innovative methods. We merge together cannabis culture with cutting-edge technology to deliver the best possible customer and employee experience(s).

The company operates a fully integrated cannabis business with a footprint that covers the entire breadth of the state of California; the world's largest cannabis market. We control our supply chain from cultivation to retail, which enables us to deliver clean and tested cannabis products at unmatched prices.

Our mission is to provide the one-stop-shop cannabis experience by offering exceptional customer experience service and diversified products. We strive to build long-term customer loyalty.

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.


$105000 - $115000 USD per year

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  • Job Role


  • Location

    Los Angeles, California

  • Annual Salary Range

    $100K - $120K

  • Date Posted

    29 February, 2024

  • Desired Skills

    Microsoft Outlook
    Data Pipelines
    Technical Manuals
    Technical Proficiency
    Data Modeling
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