Senior Data Engineer – Scalable Pipelines & Governance

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 164,000 - 227,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Chime is seeking a hands-on Data Engineer to build scalable data pipelines and governance frameworks enabling data-driven decision making. You will architect workflows and scale data architectures that could set fintech standards, with a base salary range and a bonus/equity package.

The role requires 5+ years transforming data to governed datasets, 5+ years delivering production pipelines, and collaboration with Analytics, Data Science and DevOps teams.

Qualifications

• 5+ years experience transforming data to governed and lucid datasets.
• 5+ years of hands-on experience to build and deploy production-quality data pipelines.
• 5+ years of experience working with stakeholders to provide business insights.
• 5+ years of experience writing SQL, Spark, AWS Glue, EMR, Airflow, Python.
• 3+ years hands-on with Snowflake, AWS Redshift or Teradata.
• Track record of partnerships with Analytics, Data Science and DevOps teams.
• Understanding of key metrics for data pipelines and visibility to partner teams.
• Engineers participate in on-call rotation.

Responsibilities

• Be a hands‑on data engineer, building, scaling and optimizing ETL pipelines.
• Design data schemas and scale them for 10x data growth.
• Own data quality, governance, schema design, data security.
• Develop scalable data architectures and standardized data models for self‑serve insights using AI.
• Own the ETL workflows and ensure data quality and availability.
• Collaborate with Data Science, Analytics and DevOps teams.

Skills

Data engineering

Data governance

Stakeholder communication

ETL pipelines

On-call readiness

SQL

Spark

Python

Airflow

AWS Glue

EMR

Tools

AWS Glue

EMR

Airflow

Snowflake

Redshift

Teradata

Spark

Job description

Chime is seeking a hands-on Data Engineer to build scalable data pipelines and governance frameworks enabling data-driven decision making. You will architect workflows and scale data architectures that could set fintech standards, with a base salary range and a bonus/equity package.

The role requires 5+ years transforming data to governed datasets, 5+ years delivering production pipelines, and collaboration with Analytics, Data Science and DevOps teams.