Staff Data Platform Engineer

Harnham; United States; Remote; USD 200,000 - 245,000; Full time

Job summary

An innovative consumer tech startup is seeking a Staff Data Engineer to enhance their data capabilities. This role involves collaborating with engineers and data scientists to build scalable data platforms that support key business initiatives. You'll lead the design of data architecture, ensuring high performance and security while mentoring junior engineers. With a strong focus on data accessibility and reliability, this position offers a unique opportunity to impact the company's data strategy significantly. If you have a passion for data and a collaborative mindset, this role is perfect for you!

Qualifications

• 7+ years of experience in data engineering with strong SQL and Python skills.
• Experience with complex data infrastructures and leading large-scale projects.

Responsibilities

• Collaborate with teams to understand data needs and implement solutions.
• Design and build scalable data infrastructure and optimize pipelines.

Skills

SQL

Python

Data Platform Development

Collaboration

Communication Skills

Tools

AWS

Kubernetes

Redshift

Athena

S3

Airflow

Job description

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 - $245,000.00/yr

Additional compensation types

Stock options

US Remote

$200-245k base + Equity

We’re working with a rapidly expanding consumer tech startup that recently raised $125M in Series D funding. As they continue to scale, they’re looking to hire a Staff Data Engineer to join their growing data team. If you have a strong foundation in software engineering, a collaborative mindset, and a passion for driving data strategy, this is the opportunity for you!

The Role:

As a Staff Data Engineer, you’ll be a crucial part of the team, ensuring data is accessible, reliable, and actionable across the company. Working alongside engineers, data scientists, and business teams, you’ll help build scalable data platforms that drive key business initiatives and enable data-driven decision-making.

What You’ll Do:

• Collaborate with engineering, data science, and business teams to understand data needs and implement effective solutions aligned with business objectives.
• Design and build scalable data infrastructure and pipelines to handle high volumes of data as the company grows.
• Lead the design and optimization of data architecture, ensuring it’s secure, high-performing, and scalable.
• Improve and streamline data pipelines to provide fast, reliable access to high-quality data.
• Contribute to the design of reporting frameworks and analytics tools that empower teams to make data-driven decisions.
• Work with security teams to ensure data privacy and compliance standards are met.
• Mentor junior engineers, share expertise, and promote best practices across the team.
• Stay updated on new technologies and suggest improvements to enhance processes and tool efficiency.

Minimum Qualifications:

• You have 7+ years of experience in data engineering.
• You’ve worked at a leading consumer tech company known for engineering excellence.
• You’re an expert in SQL, Python, and data platform development.
• Nice-to-have: Familiarity with AWS, Kubernetes, Redshift, Athena, S3, and Airflow.
• You have hands-on experience with complex data infrastructures and optimizing data pipelines.
• You’ve led large-scale data projects that had a significant impact on your organization.
• You thrive in collaborative environments and have strong communication skills.
• You have an ownership mindset and take responsibility for delivering results.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst and Engineering

Industries

Data Infrastructure and Analytics, Technology, Information and Media, and Consumer Services