DevRev

DevRev

Senior Data Engineer

Austin, Texas, United States · Senior

Sponsorship not specifiedDetected 27 days ago
JavaScriptPythonJavaGoC++Distributed SystemsData StructuresAlgorithmsSQLNoSQLBigQuerySnowflakeKafkaSparkData EngineeringData ScienceCollaborationMentoring

Stay score

odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • This role is ideal for an experienced engineer who enjoys solving challenging problems involving large-scale data, distributed systems, database architecture, and performance optimization.
  • You will have significant technical ownership and the opportunity to influence the direction of our agentic data platform while helping raise the engineering bar across the team.

Responsibilities

  • Own data architecture for large-scale, high-impact projects, making thoughtful tradeoffs across scalability, reliability, performance, maintainability, and operational cost.
  • Design, build, and operate scalable data pipelines and data systems that reliably ingest, transform, store, and serve large volumes of data.
  • Partner closely with Software Engineering, Data Science, Product Management, and other stakeholders to understand data requirements and translate them into robust technical solutions.
  • Define and own data quality, reliability, and SLA/SLO requirements for datasets and systems within your area of ownership.
  • Design and optimize data models, databases, and complex SQL workloads, with a strong focus on query performance, storage efficiency, and scalability.
  • Build frameworks, tooling, and reusable infrastructure that make it easier for engineers and data consumers to develop and maintain data products.
  • Mentor engineers through technical guidance, design reviews, and actionable feedback, while contributing to a strong engineering culture.
  • You will own significant parts of our data architecture that is main powerhouse of DevRev Computer's memory for accurate and efficient Answers.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Strong programming experience in one or more general-purpose languages such as Go, Java, C++, Python, or JavaScript, along with strong SQL skills.
  • Strong understanding of data structures, algorithms, and software engineering fundamentals.
  • Experience designing and operating production-grade data pipelines or distributed data systems.
  • Experience working with relational and/or NoSQL databases and understanding their underlying performance and scalability characteristics.

Nice to have

  • Experience designing large-scale data platforms, data warehouses, or distributed data systems.
  • Deep understanding of database architecture, data modeling, query optimization, indexing, partitioning, and storage systems.
  • Experience with cloud data infrastructure and databases, including understanding of performance, scalability, reliability, and cost tradeoffs.
  • Experience working with large datasets and optimizing complex SQL queries and data processing workloads.
  • Experience with distributed data technologies such as Kafka, Spark, Flink, Trino/Presto, BigQuery, Snowflake, or similar systems.
  • Strong experience with data quality, observability, monitoring, and production reliability.
  • Experience providing technical mentorship and driving engineering best practices across teams.
  • Master's degree in Computer Science or a related technical field.

Skills

  • About DevRev

Company info

  • It extends your existing software with AI-native apps and agents that work alongside your teams and customers - updating workflows, coordinating across teams, and eliminating repetitive work.
  • Whatever your role, our values describe what we ask of each other.
  • We are looking for a Senior Data Engineer to help build and evolve the data platform that powers critical business decisions and customer-facing experiences.

This listing is sourced directly from DevRev's careers page and normalized into a canonical job model.