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Staff Data Engineer

We are Route

Buying stuff online can get messy once you hit that “order” button. Managing dozens carrier tracking links, dealing with lost or damaged packages, and resolving issues with customer support can feel like a wild goose chase. That’s why we created the Route  — to make the post-purchase experience for consumers like you, and the brands you love, as seamless as possible. 

Route is on a mission to connect the world’s commerce. Through our network of millions of Route App users and thousands of merchants, we’re making it easier than ever for consumers to track, insure, and discover their favorite products in one place — which connects the world’s best direct-to-consumer brands to happy, repeat customers.

Since Route launched in 2018, we’ve been on a journey to build innovative products that empower our customers, all while fostering a people-first, values-driven company culture. We’re looking for talented people across the ecommerce space to join us on the next steps of this adventure.

Don’t just take our word for it! Discover what life at Route has to offer.

The team

The Route Engineering team develops next-generation technologies that change how millions of consumers see, share, and discover the world's most innovative brands and products. Route Engineers have backgrounds in distributed systems design and development, large-scale data storage and processing systems, UI design, mobile, and much more — but what unites this talented team is a passion for the Route mission to connect the world's commerce through our suite of transformational products.

The opportunity

We are looking for a Staff Data Engineer to play a pivotal role in maintaining and expanding our data infrastructure. This role is highly autonomous and requires a seasoned engineer with strong technical skills who can hit the ground running. You will be responsible for ensuring the continuous and reliable ingestion of data while designing and implementing new data integrations to support our growing business needs.

What you’ll do

  • Own and maintain the reliability of existing data ingestion pipelines, ensuring uninterrupted data flow.
  • Design, develop, and optimize new data ingestion and integration pipelines.
  • Work cross-functionally with data analysts, product managers, back-end and front-end engineering teams, and business stakeholders to deliver robust data solutions.
  • Leverage Snowflake, Databricks, DBT, and Spark to build scalable and high-performance data processing solutions.
  • Implement and maintain Snaplogic, Airflow, and Terraform for ETL orchestration, workflow automation, and infrastructure as code.
  • Ensure high availability, scalability, and security of data infrastructure using the AWS suite.
  • Troubleshoot and optimize performance across the data pipeline stack.
  • Stay ahead of industry trends and continuously improve data engineering best practices.

What we’re looking for

  • 5+ years of experience in data engineering or a similar field.
  • Expertise in Snowflake, DBT, Databricks, and Spark for data processing and analytics.
  • Strong programming skills in Python for data pipeline development and automation.
  • Experience with Snaplogic, Airflow, or similar ETL orchestration tools.
  • Proficiency in cloud infrastructure and data services within the AWS ecosystem.
  • Hands-on experience with Terraform for infrastructure as code.
  • Strong problem-solving skills with the ability to work independently in a fast-paced environment.
  • Excellent communication skills and ability to collaborate across teams.
  • Partner with Data Analysts to enhance analytics and provide guidance on queries that impact multiple departments
  • Familiarity with real-time data processing architectures.
  • Knowledge of data governance, security, and compliance best practices.
  • Experience with AI agents to interact with a database.
  • Experience in the e-commerce or post-purchase space is a plus. 

Equal opportunity for all

Route is an Equal Opportunity Employer. We embrace diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

Total Rewards

We know our team works best when everyone feels happy, healthy, and supported. We offer to pay 100% of your health insurance premiums on a $0 deductible plan for you and your family, remote or hybrid work arrangements, unlimited PTO, 401k matching, formalized growth opportunities, learning & development, DEI programs & events, and so much more.

Pay Transparency

UT $196,000 - $208,000
LA $200,000 - $212,000
SF $233,000 - $246,000
NYC $209,000 - $221,000 

Salary for this role: List base salary (and variable if applicable) only. 

The cash compensation above includes base salary, and is not reflective of potential commission for employees in eligible roles, or annual bonus targets under Route’s bonus plan for eligible roles. In addition to cash compensation, all Route employees are eligible to participate in Routes equity incentive plan to receive stock options per the terms of the agreement. Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their career level, skills, experience, specific geographic location qualifications and other job-related reasons.

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CEO of Route
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Michael Yamartino
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Average salary estimate

$221000 / YEARLY (est.)
min
max
$196000K
$246000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Staff Data Engineer, Route

Join Route as a Staff Data Engineer and be a crucial part of our mission to streamline the online shopping experience! At Route, we understand that post-purchase challenges can be overwhelming. From tracking packages to dealing with customer issues, we exist to simplify that journey for consumers and brands alike. In this key role, you’ll be immersed in the complexities of our data infrastructure, ensuring smooth and reliable data flow is a top priority. Your experience with data processing tools like Snowflake and Databricks will come in handy as you design, develop, and optimize data pipelines to meet our evolving business needs. You will collaborate closely with cross-functional teams, providing data solutions that drive impactful decisions. If you have 5+ years of experience in data engineering and a knack for problem-solving, this is a unique opportunity to be part of a dynamic and values-driven team that champions innovation and collaboration. Let’s work together to connect the world’s commerce and create happy, repeat customers while fostering a culture that values every voice!

Frequently Asked Questions (FAQs) for Staff Data Engineer Role at Route
What are the key responsibilities of a Staff Data Engineer at Route?

As a Staff Data Engineer at Route, you'll own and maintain data ingestion pipelines, ensuring a steady flow of data. You'll design and develop new integrations to support business needs, collaborate with various teams, and utilize technologies like Snowflake, Databricks, and Spark to create robust data solutions.

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What qualifications do I need to be a Staff Data Engineer at Route?

To qualify as a Staff Data Engineer at Route, you should have at least 5 years of experience in data engineering, with strong expertise in Snowflake, DBT, and Spark. Proficiency in Python and experience with ETL orchestration tools such as Snaplogic or Airflow are also essential.

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How does Route ensure a collaborative environment for its Staff Data Engineers?

Route fosters collaboration by encouraging Staff Data Engineers to work cross-functionally with data analysts, product managers, and engineers. This teamwork ensures that data solutions are meeting the business needs effectively and driving impactful outcomes.

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What tools and technologies do Staff Data Engineers at Route use?

Staff Data Engineers at Route utilize a variety of tools and technologies including Snowflake, Databricks, DBT, Spark, Snaplogic, Airflow, and Terraform to enhance the performance and scalability of data processing systems.

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What is the company culture like for a Staff Data Engineer at Route?

The culture at Route is people-first and values-driven, emphasizing diversity and inclusion. Staff Data Engineers can expect a supportive environment that encourages innovation, collaboration, and professional growth.

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Common Interview Questions for Staff Data Engineer
Can you describe your experience with data ingestion pipelines in previous roles?

Be ready to share specific examples of how you have managed or optimized data ingestion pipelines, including the technologies used and the outcomes you achieved.

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How do you ensure data reliability and integrity within pipelines?

Discuss strategies you employ such as monitoring tools, testing, and validation processes to maintain data reliability, and provide examples of challenges faced and how you overcame them.

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What programming languages are you proficient in for data pipeline development?

Highlight your programming skills, especially in Python, and provide examples of projects where you've used coding to enhance data processes or automate tasks.

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How do you handle performance optimization within data systems?

Share techniques you've used for optimizing performance in data systems, whether through SQL query optimization, improving infrastructure, or tuning data processing tools.

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Can you explain how you have collaborated with analytics or product teams in past roles?

Illustrate your collaborative experiences, emphasizing how working closely with analytics or product teams led to successful data-driven decisions and solutions.

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What experience do you have with cloud services and infrastructure?

Discuss your experience working with AWS or similar cloud services, providing specific examples of how you've used cloud infrastructure to support data projects.

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Describe a challenging data problem you solved and the approach you took.

Prepare a narrative that showcases your problem-solving skills, detailing the data challenge, your methodology, and the positive impacts of your solution.

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What is your understanding of data governance and its importance?

Explain your knowledge of data governance principles and compliance, and why these are crucial for maintaining data security and integrity within an organization.

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How do you stay updated on industry trends in data engineering?

Share your approach to continuous learning through subscriptions, attending conferences, or engaging in professional networks to stay informed about the latest data engineering trends.

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What role does collaboration play in data engineering at Route?

Emphasize the importance of cross-departmental collaboration, sharing examples of how effective communication and teamwork have led to improved data solutions in your past experiences.

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Everyone who walks through our doors has one thing in common—the roster of values we embody while reinventing ecommerce. The Route PACT puts people first every darn day, just like it should be.

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Full-time, remote
DATE POSTED
March 26, 2025

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