Data Engineer

ACCO Engineered Systems; Pasadena (CA); On-site; USD 106,000 - 143,000; Full time

Job summary

ACCO Engineered Systems is seeking a Data Engineer to design, implement, and manage the company’s data infrastructure in Southern California. You will build and optimize ETL/ELT pipelines, ensure data quality, security, and accessibility to support operations and strategic initiatives.

You will collaborate with the Data Architect and stakeholders to translate business needs into scalable data solutions, leverage AWS/Azure/GCP, and explore AI/automation opportunities while keeping data governance

Qualifications

• Bachelor's degree in Computer Science, Data Science, or related field.
• Experience translating business requirements into technical specs and scalable data solutions.
• Experience with cloud platforms and data governance/security best practices.

Responsibilities

• Design, build, and optimize ETL/ELT pipelines and ingest data from multiple sources.
• Implement data validation, quality assurance, and data governance processes.
• Collaborate with Data Architect to design scalable, secure data infrastructure (data lakes/warehouses).
• Partner with stakeholders to deliver data-driven solutions and insights for decision-making.
• Leverage Docker/Kubernetes to deploy scalable data services and ML environments.

Skills

Python

SQL

Docker

Kubernetes

AWS

Azure

Google Cloud

Apache Spark

Education

Bachelor's degree in Computer Science, Data Science, or related field

Master’s Degree in Data Science or equivalent

Tools

Data lakes

Data warehouses

Data lakehouse architectures

Job description

The Data Engineer role will be responsible for implementing and managing the business's data infrastructure to support operations and strategic initiatives. This position plays a crucial part in developing and maintaining a robust, scalable data architecture that ensures data integrity, security, and accessibility across the organization. A typical day involves designing and building ETL/ELT pipelines, collaborating with the Data Architect and business stakeholders, ensuring high data quality, and exploring opportunities for AI and automation. Additionally, this role leverages new technologies to continually enhance the overall data ecosystem and support business growth.

Only applicants living in Southern California will be considered.

Essential Duties and Responsibilities:

Design, build, and optimize ETL/ELT pipelines to ingest data from various sources into the data ecosystem.

• Implement processes and tools for data validation, cleaning, and quality assurance to maintain a reliable and accurate data foundation.
• Work closely with the Data Architect to design and implement a scalable and secure data infrastructure, including data lakes and data warehouses.
• Collaborate with business stakeholders to understand their data requirements and deliver solutions that enable data-driven decision-making.
• Utilize container technologies like Docker and Kubernetes to deploy scalable data services and machine learning environments.
• Implement and enforce data governance and security policies to ensure data privacy and compliance throughout the data lifecycle.
• Work with business users to assess opportunities and support AI automation with LLMs and agents.
• Stay current with emerging technologies and best practices in data engineering to continuously improve the data infrastructure.
• Strong programming skills in Python or a similar language.

Proficiency in SQL and experience with relational and non-relational databases.

Demonstrated experience in designing scalable, cost-effective, and maintainable data systems (e.g., data lakes, warehouses, lakehouses).

Proven ability to automate and orchestrate complex data pipelines and create resilient, self-healing data systems.

Solid understanding of data governance principles and experience implementing data security best practices.

Experience translating ambiguous business requirements into precise technical specifications.

Experience with cloud platforms like AWS, Azure, or Google Cloud.

Familiarity with data processing frameworks such as Apache Spark and experience with a data lake environment.

Education and Experience

Required:

• Bachelor's degree in Computer Science, Data Science, or a related field.

Desired: Master’s Degree in Data Science or equivalent.

• Proactivity/Initiative: Recognizes what needs to be done and accomplishes it in a manner appropriate for one's level/position and with minimal supervision.
• Perseverance: Shows wherewithal to fight for difficult goals despite challenges and to bounce back from adversity.
• Motivation/Dedication: Commits to excellence in pursuing unselfish goals. Initiates action with collective goals, takes responsibility, and shows personal humility.
• Technical Curiosity/Willingness to Learn: Interest in seeking out new experiences, knowledge, and candid feedback; demonstrating an openness to learning and change.
• Insight: The ability to gather and make sense of information that suggests new possibilities.
• Engagement: Shows a knack for using emotion and logic to communicate a persuasive vision and connect with people.
• People Skills: Is approachable and gains the mutual trust and respect of others. Understands people's strengths & weaknesses and actively seeks to understand other perspectives.
• Communication: Fosters open, honest, candid and respectful communication. Effectively assesses, defines and communicates issues in a timely manner, both written and verbal.
• Teamwork: The ability to effectively work toward common goals with others by supporting, encouraging, and sharing information in an authentic and approachable manner.
• Big Picture: Understands and contributes to the organizations' short- and long-term business strategy. On a personal level has independently developed a vision for short- and long-term career success.
• Problem-Solver: Ability to identify, analyze, and solve problems in support of personnel, group, department, or organizational objectives.
• Execution: Effectively takes a vision and translates into action by including the right people. Identify and remove barriers, when possible, to achieve results. Demonstrates appropriate compromise, effective time management, prioritization practices and holds team members (including themselves) accountable for their performance/conduct.
• Professionalism: Respectfully observes and challenges the status quo with intent for improvement. Can take direction, accept feedback, and take full responsibility for their actions. Lead by example through positive influence and ethical leadership with consideration of the entire organization.

Job Responsibility Level:

Travel Requirements:

Travel required 0-5% of the time to other office locations.

Hours:

This is an exempt position. Workdays are scheduled from Monday through Friday. Typically, work hours begin and end between 7:00 am and 5:00 pm as scheduled with the position's supervisor. Work outside of regular hours may occasionally be necessary to meet business needs.

Physical Demands:

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

Must frequently lift and/or move up to 5 pounds and occasionally lift and/or move up to 20 pounds.

Specific vision abilities required by this job include close vision and ability to adjust focus.

Prolonged sitting.

Frequently required to reach with hands and arms.

Occasionally required to stand; walk and stoop, kneel, crouch.

Competitive Wages:

$106,000 to $143,000 Annual Salary. Applicants please note that actual compensation is determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location, among others. The offered wage or salary is only one aspect of an employee's total compensation.