Senior Data Engineer

Lambda

Senior Data Engineer at Lambda collaborating with a high-performing team to design data pipelines and manage data warehouses for powerful analytics.

Posted 5/5/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $173,000 - $259,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudGoogle Cloud PlatformJenkinsMySQLPostgresPythonSQLTableau

About the role

Key responsibilities & impact

Join our team as a Senior Data Engineer, where you will collaborate with a small high-performing team of Analytics Engineers and Data Engineers to design data pipelines, a data warehouse, an automated data catalog and internal tools.
Your output will directly power product analytics, marketing, supply chain, investor relations, and many more.
You will have the opportunity to design and implement best practices while working directly with stakeholders.
Design, build, and maintain scalable, robust, and efficient data pipelines (ELT) to process large volumes of structured and unstructured data from multiple sources.
Use your familiarity with areas such as GTM (Salesforce, Marketing, CRM), Finance and Product to support stakeholder requests and design internal tools that support business processes
Work with product engineers and system admins to design, document, and build data flows and infrastructure.
Design and manage data warehouses and data lakes, ensuring optimal storage, governance, cataloging, data lifecycle and retrieval performance.
Ensure the accuracy and consistency of data across multiple systems, performing regular data quality assessments.
Implement testing, CICD and IT General Controls to ensure security and reliability of data flows.
Work closely with business leaders, analysts, and other stakeholders to understand data requirements and deliver appropriate solutions.
Automate manual data processes and continuously optimize data workflows for performance, cost efficiency, and scalability.
Stay up-to-date with the latest industry trends, tools, and technologies to improve data engineering practices and infrastructure.
Provide technical leadership and mentorship to junior data engineers, analysts, and business users, sharing best practices and fostering a collaborative team environment.

Requirements

What you’ll need

Have a technical bachelor’s degree (computer science, information technology, analytics, or similar)
Have 5+ years of experience in Data Engineer, Software Engineer, Analytics Engineer or Sr Data Analyst roles
Are highly proficient in SQL and experience working with large-scale relational databases (e.g., PostgreSQL, MySQL, etc.)
Have extensive experience with cloud data platforms (AWS, GCP, Azure) and related services such as S3, IAM, Redshift, BigQuery, etc.
Have intermediate to advanced experience in Python or similar programming languages.
Have experience with data orchestration tools like Apache Airflow, Prefect, or similar.
Are knowledgeable in data modeling, database design, and performance optimization techniques.
Have a working understanding of data security, privacy, and compliance requirements.
Show a proven ability to work in a fast-paced, agile environment and manage multiple projects simultaneously.
Experience with data modeling in DBT (Data Build Tool)
Knowledge of data visualization tools and BI platforms (e.g., Tableau, Looker, Power BI).
Experience with CICD build tools (gitlab CICD, github actions, jenkins or similar)
General cloud computing proficiency, such as knowledge of compute resources, databases, disk, networking, logging, alerting etc as it pertains to clouds, such as AWS and GCP
Experience in iPaaS tools (e.g. Workato, Zapier, Celigo or similar)

Benefits

Comp & perks

Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondata modelingdatabase designperformance optimizationdata orchestrationdata quality assessmentdata pipeline designdata warehouse managementdata lifecycle management

Soft Skills

technical leadershipmentorshipcollaborationstakeholder engagementagile project managementproblem-solvingcommunicationteamworkadaptabilitytime management

Certifications

Bachelor's degree in computer scienceBachelor's degree in information technologyBachelor's degree in analytics