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Senior Data Engineer

LastPass

United States

Remote

USD 90,000 - 150,000

Full time

13 days ago

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Job summary

Join a forward-thinking company as a Senior Data Engineer, where your skills in SQL and Python will help shape data-driven decisions. You'll design robust ETL pipelines and work closely with cross-functional teams to ensure data integrity and accessibility. This role offers a collaborative environment that values your unique perspective and encourages continuous learning. With a remote-first culture and competitive benefits, this is an exciting opportunity to unlock your potential and contribute to innovative projects that impact millions of users. Apply today and help build the future of identity management!

Benefits

Flexible Paid Time Off
Generous parental leave
Comprehensive health coverage
Home office setup support
Continuous learning opportunities
Peer-to-peer recognition
Employee Assistance Program
Remote work stipend
Short-Term Work Arrangements

Qualifications

  • Proven experience as a Data Engineer or in a similar data infrastructure role.
  • Hands-on experience with cloud data platforms and data warehousing tools.
  • Strong understanding of data modeling and data privacy best practices.

Responsibilities

  • Design and maintain ETL/ELT pipelines for data extraction and integration.
  • Develop and optimize data models for analytics and reporting.
  • Ensure data quality and consistency through validation and monitoring.

Skills

SQL
Python
Data Engineering
ETL/ELT Pipelines
Cloud Data Platforms
Data Modeling
Data Quality Assurance
CI/CD
Data Privacy
Collaboration

Education

Bachelor's Degree in Computer Science or related field
Master's Degree in Data Science or related field

Tools

Databricks
AWS
GCP
Azure
Snowflake
GitLab

Job description

About LastPass
LastPass is a leader in password and identity management, making it easier to log into life and work. Trusted by 100,000 businesses and millions of users, LastPass combines advanced security with effortless access for individuals, families, small business owners, and enterprise professionals. With LastPass, important credentials are protected and private – and always within reach.

Curious about our products? Visit our websiteand try it free!

We welcome new ideas, support your growth, and recognize your value, if this aligns with what you are looking for in your next career move, Join Us!

LastPass is looking for a Senior Data Engineer:

We are seeking a skilled and pragmatic Senior Data Engineer to join our growing data team. This role focuses on building and maintaining the pipelines and infrastructure that enable analytics, machine learning, and data-driven decision-making across the organization. You’ll collaborate with analysts, data scientists, and product teams to ensure data is reliable, well-structured, and delivered with low latency and high integrity.

If you are passionate about complex problem solving and motivated by scale, then this is the role for you!

Who will you work with?

While the primary focus is engineering for our data warehouse, this role involves cross-functional collaboration with internal teams such as sales, marketing, product, finance, and product engineering.

What are some of the exciting challenges you will be working on?

  • Design, build, and maintain robust ETL/ELT pipelines to extract data from internal and third-party systems into our data warehouse/lake environment.
  • Develop and optimize data models (e.g., dimensional models, star/snowflake schemas) to support reporting and analytics.
  • Ensure data quality and consistency through validation, monitoring, and observability practices.
  • Work with analysts and stakeholders to define data requirements and make raw data more usable across the business.
  • Manage and improve data infrastructure using modern tools (e.g., dbt, Spark, Databricks).
  • Implement and maintain data security and access controls in alignment with organizational and regulatory requirements.
  • Document data structures, pipeline logic, and operational procedures.
  • Support reverse ETL and integration workflows as needed to deliver data into downstream systems (e.g., Salesforce, Intercom).

What does it take to work at LastPass?

  • Proven experience as a Data Engineer or in a similar data infrastructure role.
  • Proficiency in SQL and Python; experience with PySpark is a plus.
  • Hands-on experience with cloud data platforms (e.g., AWS, GCP, Azure), especially storage (S3, GCS) and compute (EC2, Lambda, Databricks).
  • Familiarity with data warehousing tools (e.g., Snowflake, Redshift, BigQuery) and modern ELT tools (e.g., dbt, Fivetran, Airbyte).
  • Strong understanding of Kimball data modeling, schema design, and data normalization/denormalization.
  • Experience with CI/CD for data pipelines and version control systems such as GitLab.
  • Knowledge of data privacy and governance best practices.
  • Strong communication skills and the ability to collaborate effectively with cross-functional team.

It's great, but not required:

  • Experience administering Databricks
  • Background in AWS DevOps

Why LastPass?

  • Market-leading password manager
  • High-growth, collaborative environment with inclusive teams
  • Remote-first culture
  • Competitive compensation
  • Flexible Paid Time Off policies, including but not limited to: Quarterly Self-Care Days (4 extra paid days off annually) and Volunteer Days
  • Generous parental leave
  • Comprehensive health coverage, including dependents
  • Home office setup support
  • LastPass Families free account for up to 5 members
  • Continuous learning and development opportunities, including an annual learning stipend to invest in your growth
  • Peer-to-peer recognition through Motivosity
  • Employee Assistance Program for well-being support
  • Remote work stipend to support your home office needs
  • Short-Term or Remote-Centric Work Arrangements for added flexibility

Unlock your potential with us - your skills, experience, and unique perspective matter more than just checking the boxes. Apply today, and let's build the future together!

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