Data Engineer

. Design, build and manage people data pipelines, ensuring all data is seamlessly integrated into our Databricks warehouse.

Posted 5/13/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $293,000 - $325,000 per yearWebsite

Tools & technologies

AirflowETLHadoopHDFSJavaPythonScalaSpark

Key responsibilities & impact

Design, build and manage people data pipelines, ensuring all data is seamlessly integrated into our Databricks warehouse.
Develop canonical datasets to track key people metrics and People Innovation Labs product metrics.
Work collaboratively with various teams, including, Data Platform, Data Science, People Analytics, and Compensation and Equity to understand their data needs and provide solutions.
Implement robust and fault-tolerant systems for data ingestion and processing.
Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear as the primary data engineering expert on the team.
Ensure the security, integrity, and compliance of data according to industry and company standards.

What you’ll need

Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering).
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
Experience with data warehousing technologies such as Databricks and Snowflake, and expertise with ETL schedulers such as Fivetran, Airflow, Dagster, Prefect, or similar.
Experience with distributed processing technologies and frameworks, such as Spark, Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).

Comp & perks

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata pipelinesdata warehousingETLPythonScalaJavaSparkHadoopFlink

Soft Skills

collaborationproblem-solvingcommunicationdata integritydata security