Director of Analytics Engineering & Data Pipelines

Quiet Capital; Culver City (CA); On-site; USD 160,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental & vision insurance

401(k) matching

Stock options

Discretionary PTO

Gym access

Autonomy

Inclusive culture

Job summary

Spotter is seeking a Director of Analytics Engineering in Culver City to lead cutting-edge analytics initiatives and shape the engineering strategy. You will guide cross-functional teams, mentor engineers, and establish best practices for ETL, data quality, and reporting.

You will collaborate with data scientists, analysts, and senior stakeholders to deliver innovative data solutions, build Analytics Ready Datasets, and surface actionable insights via dashboards and reports.

Qualifications

• Bachelor’s degree in Engineering, CS, Analytics, Applied Math, Statistics, or Business Analytics; advanced degrees preferred.
• 7+ years of experience in analytics engineering, data engineering, or related field.
• Expertise in designing and maintaining scalable data pipelines and ETL processes using Python, SQL, DBT, and at least one data warehousing platform.
• Strong background in data instrumentation, QA, and ensuring data accuracy across complex environments.
• Proven track record of automated reporting and visualization using platforms like Spotfire and Power BI.
• Ability to translate business needs into technical solutions and collaborate with cross-functional teams.
• Excellent communication, problem-solving, and leadership skills.

Responsibilities

• Lead analytics engineering efforts to deliver scalable data solutions.
• Collaborate with data engineers, data scientists, and business stakeholders to define requirements.
• Improve ETL processes for scalability, security, and reliability.
• Develop dashboards and self-service reporting using visualization tools.
• Mentor analytics engineers and promote best practices across the team.
• Work with massive web, app, and API data in a big data environment.

Skills

Analytics Engineering

Python

SQL

DBT

Data Warehousing

ETL

Data QA

Education

Bachelor’s degree

Tools

Redshift

BigQuery

Databricks

Snowflake

Job description

Spotter is seeking a Director of Analytics Engineering in Culver City to lead cutting-edge analytics initiatives and shape the engineering strategy. You will guide cross-functional teams, mentor engineers, and establish best practices for ETL, data quality, and reporting.

You will collaborate with data scientists, analysts, and senior stakeholders to deliver innovative data solutions, build Analytics Ready Datasets, and surface actionable insights via dashboards and reports.