Job Description
Are you passionate about data and looking to make a significant impact in a dynamic and supportive environment? We are a growing subsidiary of a large public company seeking a Lead Data Engineer to join our innovative team!
What We Offer:
As a Lead Data Engineer, you will enjoy:
A competitive base salary ranging from $165,000 to $235,000, based on your experience.
$12-13K in stock options!
An annual bonus of 15-20%!
The flexibility to work from home 100%!
A 401(k) plan with a dollar-for-dollar match, up to 6% of eligible earnings (including base salary and bonus), plus additional company contributions.
Comprehensive medical, dental, vision, and life insurance.
17 paid holidays each year, including 3 floating holidays!
Annual Paid Time Off (PTO) and separate sick days.
12 weeks of paid parental leave!
Caregiver leave and support for adoption and surrogacy!
A flexible workplace to accommodate your needs.
Exciting team events at sports games, concerts, and more!
Tuition reimbursement for your continuous learning.
Opportunities to attend conferences to expand your knowledge.
A MacBook Pro and all the necessary hardware to help you excel!
A modern productivity toolset, including Slack, Miro, Loom, Lucid, Google Docs, Atlassian, and more.
Generous discounts for our products and services.
Eligible for donation matching to over 1.5 million nonprofit organizations!
Your Role:
As a Lead Data Engineer, you will be responsible for:
Leading a cross-functional team to deliver impactful data projects.
Writing code to extract, process, and store data across various platforms, including Snowflake, Postgres, DynamoDB, Kafka, and graph databases.
Building and maintaining batch and streaming data pipelines using SQL, PySpark, Pandas, and similar frameworks.
Ensuring data quality and implementing monitoring solutions.
Orchestrating complex workflows and data pipelines using tools like Airflow.
Collaborating with stakeholders to design and develop data APIs, microservices, and event-driven systems.
What You Bring:
A completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or a related quantitative field.
7+ years of experience as a Data Engineer with a strong programming background in Python and core computer science principles.
2+ years of experience leading a team to deliver data projects, with at least 1 year in a reporting manager role.
Proficiency in building data products and knowledge of relational and dimensional data modeling concepts.
Familiarity with Git, CI/CD pipelines, Docker, and Kubernetes.
Experience architecting solutions on AWS or similar public cloud platforms.
Preferred Qualifications:
Experience assessing and implementing new data tools to enhance our data engineering stack.
Familiarity with data mesh concepts and knowledge of domains such as recommender systems, fraud detection, personalization, and marketing science.
Understanding of vector databases, knowledge graphs, and other approaches for organizing and storing information.
Employment Type: Full-Time
Salary: $ 165,000.00 235,000.00 Per Year
Job Tags
Holiday work, Full time, Work from home, Flexible hours,