Staff Analytics Engineer

Harnham; San Francisco (CA); Remote; USD 200,000 - 240,000; Full time

Job summary

Join a dynamic and fast-growing company as a Staff Analytics Engineer, where you will design and implement data models that drive critical decision-making. This role offers the chance to work with renowned brands, ensuring high data quality and building scalable systems. Enjoy competitive compensation, comprehensive healthcare, and flexible time off while collaborating with a global team. If you are passionate about data and want to make an impact, this opportunity is perfect for you.

Benefits

Attractive salary and stock options

Comprehensive healthcare packages

Access to mentorship programs

Recommended 4 weeks of vacation annually

Work-from-home budget

Qualifications

• 8+ years of experience in querying and visualizing data.
• Advanced proficiency in SQL and data modeling strategies.
• Experience with Snowflake or BigQuery.

Responsibilities

• Collaborate with stakeholders to define data models.
• Architect and maintain data pipelines for analysis.
• Drive data quality and develop internal data tools.

Skills

SQL

Snowflake

BigQuery

DBT

Spark

Python

Java

Go

Tools

Kafka

Airflow

AWS

Job description

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $240,000.00/yr

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Senior Recruitment Consultant (Phoenix) at Harnham

STAFF ANALYTICS ENGINEER

REMOTE

Are you passionate about building scalable, efficient data systems that empower businesses to succeed? Join a dynamic and fast-growing company that supports some of the world’s most renowned brands, helping them create faster, personalized, and innovative web experiences.

About the Company

My client is at the forefront of enabling developers and businesses to build, scale, and secure faster and more personalized web applications. With a mission to help the world ship the best digital products, it partners with leading organizations such as Under Armour, eBay, The Washington Post, Johnson & Johnson, and Zapier. Its platform provides unparalleled developer experience and infrastructure for dynamic user experiences, empowering teams to do their best work.

About the Role

As a Staff Analytics Engineer, you will work closely with cross-functional teams to design and implement logical data models that drive critical decision-making across the enterprise. You will play a pivotal role in architecting data systems, maintaining data quality, and creating tools that enable self-service analytics for teams in Engineering, Product, Finance, and other business domains.

Key Responsibilities

• Collaborate with stakeholders to define and document company-wide single-source-of-truth data models.
• Architect and maintain performant, reliable data pipelines and models to support:
• Flexible querying and visualization.
• Advanced analytical and scientific use cases.
• Act as a data steward and subject-matter expert for assigned business and technology domains.
• Build and enhance internal data tooling, focusing on:
• Error logging, auditing, and data validation.
• Democratizing data model and pipeline ownership.
• Improving data discoverability and usability.
• Advocate for and implement best practices for data modeling and development standards.
• Drive data quality by transforming complex, dynamic datasets into consistent, trustworthy resources.

Skills You’ll Need to Succeed:

• 8+ years of experience querying, visualizing, and presenting data, ideally in a tech-driven data organization.
• Advanced proficiency in SQL with experience building scalable, performant queries.
• 6+ years of experience with Snowflake or BigQuery.
• 2+ years of experience with DBT or Spark-based data pipelines.
• Strong background in schema design and data modeling strategies (e.g., dimensional modeling, data vault).
• Proficiency in general-purpose programming languages (e.g., Python, Java, Go) and experience working with various data structures and serialization formats.
• Ability to solve ambiguous problems, write clear documentation, and communicate with precision.

Bonus Points For:

• Passion for building scalable systems and ensuring high data quality.
• Ability to work independently on complex problems and learn new tools quickly.
• Strong attention to detail and an eagerness to contribute to a data-first culture.

Why Join?

• Competitive Compensation: Attractive salary and stock options.
• Inclusive Healthcare: Comprehensive healthcare packages to support your well-being.
• Growth Opportunities: Access to mentorship programs and industry events to enhance your skills and expand your network.
• Flexible Time Off: Recommended 4 weeks of vacation annually and paid holidays.
• Remote Work: Collaborate with a global team and enjoy a work-from-home budget to set up your ideal workspace.
• Cutting-Edge Tech Stack: Work with tools like Kafka, Snowflake, DBT, Airflow, and AWS.

This is your opportunity to help shape the future of data and analytics at a company driving innovation across industries. If you’re a forward-thinking engineer passionate about data quality, scalability, and making an impact, this role is for you.

Apply today and join a team that thrives on collaboration, excellence, and innovation!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Information Technology, and Other

• Industries

  Technology, Information and Media and Software Development

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