Database Internals Engineer — Next-Gen Parallel Engine

Teradata; Salt Lake City (UT); On-site; USD 102,000 - 153,000; Full time

Job summary

Teradata is seeking a Database Internals Engineer for its Next-Gen Parallel Compute Engine. Join Teradata’s Advanced Research Team inside the Office of the CTO to explore massively parallel, decentralized compute—an engine architecture where parallelism is a first principle.

You will shape plans, operators, and storage while learning from leaders who helped define the field. This is a rare chance to work at the frontier of database internals and leave your mark on a new engine as it takes shape,

Qualifications

• Systems programming experience in Rust or C/C++ with memory-safety discipline.

Responsibilities

• Build components across the engine spine: SQL front end (tokenizer, parser, binder), logical/physical plan layer, optimizer, and operators (joins, aggregates, sort, scan).
• Build the storage substrate: Arrow in-memory format, slotted-page on-disk format with checksums, buffer pool, and a B-tree or LSM access method.
• Implement transactions and recovery: lock/latch management, MVCC/snapshot isolation, WAL/ARIES, checkpoints, and crash recovery.
• Add parallelism and distribution along the correct axis — exchange-based parallel execution for query work, consensus/replication/atomic-commit for data correctness.
• Write design specifications before coding (schemas; null/empty/duplicate semantics; memory budget and spill behavior; cost characteristics), write tests first, implement behind the established operator interface, verify safety then speed, and report the benchmark delta.

Skills

Rust

C/C++

Relational algebra

Vectorized execution

Performance benchmarking

Tools

Arrow

Iceberg

Delta

Job description

Teradata is seeking a Database Internals Engineer for its Next-Gen Parallel Compute Engine. Join Teradata’s Advanced Research Team inside the Office of the CTO to explore massively parallel, decentralized compute—an engine architecture where parallelism is a first principle.

You will shape plans, operators, and storage while learning from leaders who helped define the field. This is a rare chance to work at the frontier of database internals and leave your mark on a new engine as it takes shape,