Skip to content
TwilioTwilioUnited States

Staff Software Engineer (L4) Data Platform

Architects scalable data systems and platforms using distributed technologies like Spark, Kafka, and AWS. Mentors engineers and drives innovation on large-scale data projects, requiring 8+ years experience and expertise in data infrastructure.

171k – 214k
Remote8+ YOEData Engineering

About the role

Responsibilities

  • Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills.
  • Architect and implement scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies.
  • Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
  • Mentor and coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
  • Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.
  • Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.

Qualifications

Required

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 8+ years of experience in software development, or a related field.
  • Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
  • Expertise in big data technologies such as Hadoop, Spark, Kafka, and other distributed computing systems.
  • Experience designing, building, and operating large-scale systems using AWS technologies.
  • Proficiency in programming languages such as Python, Java, or Scala, with strong problem-solving skills and attention to detail.
  • Experience designing or working with Data Lakehouse architectures, including hands-on experience with Hudi, Iceberg, or Delta data formats.
  • Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
  • Strong leadership skills, with a track record of mentoring and developing junior engineers.
  • Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.

Desired

  • Contributions to OSS projects is a bonus.
  • Familiarity with data modeling, data warehousing, and ETL processes is a plus.

Compensation

$171,120.00 to $213,900.00

Skills

PythonJavaScalaHadoopSparkKafkaAWSHudiIcebergDelta Lake
Skillable

Data Architect

SkillableUnited States

Lead enterprise data architecture strategy, designing scalable data warehouse and BI solutions across cloud platforms while establishing governance, quality, and AI/ML integration practices.

170k – 200k
Remote10+ YOEData Engineering
Okta

Staff Data Engineer - Federal (Auth0)

OktaBellevue, WA +3

Leads architectural evolution of data platform for FEDRamp compliance and builds secure data pipelines for analytics and security in federal environments. Requires 8+ years experience with cloud data infrastructure, Python/SQL, and modern data stack tools like Snowflake and dbt.

174k – 239k
Hybrid8+ YOEData Engineering
Fireworks AI

Member of Technical Staff, Data Platform Engineer

Fireworks AISan Mateo, CA

Builds and enhances data platforms for billing, revenue workflows, and OTC operations in a SaaS AI infrastructure company. Requires 5+ years in billing engineering, strong SQL/BigQuery skills, and experience with ERP, payments, and cloud marketplaces.

175k – 220k
On-site5+ YOEData Engineering
Onxmaps

Staff Data Engineer

OnxmapsBozeman, MT +9

Designs and evolves scalable Iceberg-based lakehouse architecture, metadata governance, and security controls for analytics, product, and AI systems. Requires 12+ years experience with Python, SQL, Airflow, and major cloud platforms.

175k – 218k
Hybrid12+ YOEData Engineering
Checkr

Staff Data Engineer

CheckrDenver, CO +1

Staff Data Engineer building and evolving Checkr's centralized people data platform and pipelines that power all AI verification products. Requires 10+ years experience with large-scale data platforms, PySpark, Python, SQL, Kafka, Spark, Iceberg and AWS services; will mentor juniors and own architecture.

166k – 230k
Hybrid10+ YOEData Engineering