Route Logo

Route

Staff Data Engineer

Job Posted 11 Days Ago Posted 11 Days Ago
Remote
Hybrid
5 Locations
Senior level
Remote
Hybrid
5 Locations
Senior level
The Staff Data Engineer will enhance and maintain data infrastructure, develop data pipelines, and collaborate with various teams to optimize data solutions.
The summary above was generated by AI

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.

Top Skills

Airflow
AWS
Databricks
Dbt
Python
Snaplogic
Snowflake
Spark
Terraform

Similar Jobs

3 Hours Ago
Remote
Hybrid
New York, NY, USA
Senior level
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
The Staff Data Engineer will design and build data pipelines, optimize data integration frameworks, support machine learning services, and work with various technologies, focusing on LLM analytics.
Top Skills: AWSAzureGCPHiveLangchainPythonSnowflakeSparkSQL
2 Days Ago
Remote
Hybrid
3 Locations
Senior level
Senior level
Artificial Intelligence • Healthtech • Information Technology • Natural Language Processing • Software • Analytics • Generative AI
The Staff Data Engineer will design and optimize data infrastructure, support multiple teams, and ensure data quality and integrity across projects.
Top Skills: AirflowAWSDynamoDBEc2ElasticsearchEmrGitKafkaMongoDBPostgresPythonRdsSparkSQLTerraform
10 Days Ago
Remote
United States
Senior level
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
As a Staff Data Engineer at Dropbox, you'll build scalable commerce data pipelines and support data strategy, governance, and architecture to enhance business decisions.
Top Skills: AirflowDatabricksHive Map/ReducePythonSnowflakeSparkSQL

What you need to know about the Calgary Tech Scene

Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account