Analytics Engineer

Harnham; Costa Mesa (CA); On-site; USD 170,000 - 220,000; Full time

Benefits offered by this job

Equity

Job summary

Harnham in the United States (CA) is seeking an experienced Analytics/Data Engineer to design scalable data models, build production-grade data products, and drive data-driven decision making across manufacturing, supply chain, and finance. You will work with analytics engineers, data engineers, and business leaders to deliver impactful, automated solutions and real-time monitoring capabilities.

The role emphasizes collaboration, ownership, and delivering measurable business outcomes through

Qualifications

• Advanced SQL and Python proficiency.
• Strong data modeling experience.
• Background in Analytics/Data Engineering.
• Experience building production-grade data products.
• Experience with cloud data platforms.

Responsibilities

• Design and develop scalable data models, analytics products, and operational applications
• Build systems that drive decision-making across manufacturing, supply chain, finance, and product operations
• Create automated workflows that improve efficiency, scalability, and business performance
• Partner directly with stakeholders to understand business challenges and translate them into technical solutions
• Develop solutions supporting real-time monitoring, operational visibility, and business process optimization
• Work across large-scale datasets supporting critical operational and strategic initiatives
• Contribute to enterprise data architecture and long-term data platform strategy
• Drive measurable business outcomes through data-driven products and automation
• Collaborate closely with data engineers, software engineers, product teams, and business leaders

Skills

SQL

Python

Data modeling

Analytics Engineering

Data Engineering

DBT

Cloud data platforms

Telemetry data

Education

Bachelor's degree

Tools

DBT

Job description

The Opportunit

y

Join one of the fastest-growing technology organizations in the world, operating at the intersection of AI, advanced manufacturing, robotics, autonomous systems, and mission-critical operations.

This role offers the opportunity to build data products, operational applications, and automation systems that directly influence how the business scales. Rather than focusing primarily on dashboards and reporting, you'll work on complex, high-impact initiatives across manufacturing, supply chain, finance, procurement, product operations, and enterprise systems.

You'll join a highly respected Analytics Engineering team embedded within core business functions, partnering closely with engineering and business leaders to solve some of the organization's most important operational challenges.

What You'll Do

• Design and develop scalable data models, analytics products, and operational applications
• Build systems that drive decision-making across manufacturing, supply chain, finance, and product operations
• Create automated workflows that improve efficiency, scalability, and business performance
• Partner directly with stakeholders to understand business challenges and translate them into technical solutions
• Develop solutions supporting real-time monitoring, operational visibility, and business process optimization
• Work across large-scale datasets supporting critical operational and strategic initiatives
• Contribute to enterprise data architecture and long-term data platform strategy
• Drive measurable business outcomes through data-driven products and automation
• Collaborate closely with data engineers, software engineers, product teams, and business leaders

Preferred Technologies & Experience

• Advanced SQL and Python
• Strong dimensional and entity data modeling experience
• Analytics Engineering or Data Engineering backgrounds
• Experience building production-grade data products and systems
• Distributed systems and data architecture exposure
• DBT experience is a plus
• Modern cloud data platforms and analytics tooling
• Operational, manufacturing, telemetry, or supply chain data environments

What They're Looking For

• 6+ years of experience in Analytics Engineering, Data Engineering, or a related field
• Strong foundation in SQL, Python, and data modeling
• Experience owning projects end-to-end and delivering measurable business impact
• Ability to communicate effectively with both technical and non-technical stakeholders
• Experience solving complex operational or real-world business problems
• Comfort working in fast-paced, ambiguous environments with significant ownership
• Exposure to manufacturing, robotics, autonomous systems, aerospace, industrial technology, or hardware/software organizations is highly valued
• Bachelor's degree preferred
• Must be authorized to work in the United States as a U.S. Citizen or Green Card holder

Why This Role

• Work on mission-critical initiatives with tangible real-world impact
• Partner with highly talented engineers across software, hardware, AI, and operations
• Build systems that influence how an entire organization operates and scales
• Gain exposure to manufacturing, procurement, finance, telemetry, and advanced technology programs
• Enjoy significant ownership, autonomy, and visibility from day one
• Join a rapidly growing organization with substantial investment and long-term growth opportunities
• Opportunity to evolve into a highly strategic, product-minded engineering leader
• Competitive compensation package including meaningful equity participation

Additional Information

• Work Model: Strong onsite culture with flexibility as needed
• Compensation: $170K-$220K + Equity
• Visa Sponsorship: Not available. Candidates must be U.S. Citizens or Green Card holders.