Senior Software Engineer

Datadog

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Boston, MANew York, NY
Salary: $192,000–$240,000 / yr
Posted: 11 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $216k

$105k $254k

below market most similar roles pay here above market

This role pays more than 79% of similar roles. Most pay $150,000–$210,000 — the blue band above. At the midpoint, this role pays about $216k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 73 open roles on FindRole.

Listed pay typically runs $192,000–$240,000 across 71 roles with salary data.

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View all roles at Datadog

At a glance

TL;DR · Senior Software Engineer

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As a Senior Software Engineer - Husky Storage, you will join the team responsible for a distributed, petabyte-scale columnar event store that powers core products like Logs and APM. You will work hands-on with distributed storage systems to evolve the platform for the AI era by migrating custom storage formats toward open standards. Your daily responsibilities include migrating to Parquet, re-imagining compaction on a DataFusion-based substrate, and driving cost-reduction work like block-level inverted index compression and storage tiering. You will also implement temporal-database techniques for event versioning and manage Iceberg-based handoffs for batch workloads. The role requires expertise in columnar formats like Parquet, ORC, and Arrow, alongside experience with Go, Java, Rust, Kafka, Kubernetes, and object storage systems like S3 or GCS.

What does a Software Engineer earn in Massachusetts?

Median $199500 from 111 postings across 24 companies.

See salary data

Skills

Parquet DataFusion Arrow Iceberg Go Java Rust Distributed Systems Object Storage S3 GCS Azure Blob Kafka Stream Processing Kubernetes ORC Inverted Index

What you'll do

Migrate the Husky storage format to open-source Parquet.
Re-imagine compaction on a format-agnostic, DataFusion-based substrate.
Implement block-level inverted index compression and storage tiering to reduce costs.
Scale the solution to support event versioning using temporal-database techniques.
Develop a cleaner Iceberg-based handoff for batch and analytical workloads.
Optimize the write path in coordination with the Ingestion team.
Influence the operational strategy and decision-making for the service.

What we're looking for

Enthusiastic and experienced with large-scale distributed systems and/or storage engines.
Comfortable improving and operating large distributed systems that customers rely on for critical business functions.
Strong fundamentals in columnar/file storage formats such as Parquet, ORC, or Arrow.
Experience with Go, Java, or Rust (preferred).
Experience with compaction or compression/encoding schemes like RLE, dictionary, delta, or gorilla (preferred).
Experience with object storage at scale, including caching and cost optimization (preferred).
Experience with Kafka and stream processing (preferred).
Experience with Kubernetes (preferred).

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