Skip to content
RulaRulaLos Angeles, CA

Sr. Data Engineer

Build and maintain scalable data pipelines and platforms that enable AI applications to securely access trusted data. Partner with analytics, marketing, and product teams to deliver production-grade data systems.

164k – 193k/yr
Remote4+ YOEData Engineering

About the role

Required Qualifications

  • 4+ years of experience in data engineering, software engineering, or a related field, including ownership of production data pipelines and systems
  • Strong proficiency in Python and SQL
  • Experience designing and maintaining scalable data pipelines, data models, and data platforms
  • Experience translating business requirements into technical designs and delivering solutions in partnership with technical and non-technical stakeholders
  • Experience independently driving projects from design through production deployment and operational support
  • Experience implementing data security, governance, or access control practices for sensitive data

Preferred Qualifications

  • Experience with large language models (LLMs), semantic layers, model context protocols (MCPs), or related technologies
  • Experience with cloud-based data platforms such as Snowflake, AWS, Spark, Kafka, Iceberg, or similar technologies
  • Experience using infrastructure-as-code tools such as Terraform
  • Experience working under HIPAA or other regulated environments
  • Experience designing data architectures that enable large language models (LLMs) to securely access and reason over enterprise data
  • Experience in influencing technical direction, establishing engineering standards, and mentoring other engineers

Compensation & Benefits

  • 100% remote work environment (must be based in United States, currently not hiring in Hawaii)
  • Full transparency of pay ranges regardless of where you live in the United States
  • Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA
  • 401(k) plan access
  • Generous time-off policies including 2 company-wide shutdown weeks each year
  • Paid parental leave
  • Employee Assistance Program (EAP)
  • Quarterly department stipend
  • Community and employee resource groups
  • Home office stipend & $50 monthly stipend for internet or cell phone expenses
  • Wellness at Rula program with $50/month wellness stipend

Skills

PythonSQLSnowflakeAWSSparkKafkaIcebergTerraformLLMsData Pipelines
Chime

Senior Software Engineer, Data Engineering

ChimeSan Francisco, CA

Builds and scales ETL pipelines, designs data schemas, and owns data quality/governance for 10x growth. Requires 5+ years in data pipelines with SQL, Spark, Airflow, Python, and MPP databases like Snowflake/Redshift.

164k – 227k/yr
Hybrid5+ YOEData Engineering
Jellyfish

Senior Software Engineer, Data Products

JellyfishUnited States

Senior engineer building performant user-facing data products from internal datasets using Python, Databricks, and Postgres while collaborating with platform teams.

165k – 235k/yr
Remote5+ YOEData Engineering
Raylu

Senior Data Engineer

RayluNew York, NY

Designs and runs massive-scale data pipelines for ingestion, normalization, enrichment, and delivery across 80M+ companies and 800M+ people. Manages data operations, BPO vendors, partnerships, monitoring, and cost optimization using Python, Dagster, and DuckDB.

165k – 250k/yr
On-siteData Engineering
Justworks

Manager, Analytics Engineering

JustworksNew York, NY

Lead and develop a team of analytics engineers to design, build, and maintain scalable data models, ELT pipelines, and BI solutions using modern data stack tools. Requires 7+ years data experience including 2+ years managing teams, deep expertise in SQL, Python, Snowflake, dbt, and dimensional modeling.

166k – 214k/yr
Hybrid7+ YOEData Engineering
Pilot.com

Senior Analytics Engineer

Pilot.comSan Francisco, CA

Owns the data warehouse, semantic layer, and ingestion pipelines using Snowflake, dbt, and Looker. Architects reliable data models, integrates new sources, enables AI workflows, and sets company-wide metrics standards. Requires 5+ years in analytics/data engineering with strong SQL, dbt, and Python.

166k – 224k/yr
On-site5+ YOEData Engineering