Senior Engineer, Data Services

Job not on LinkedIn

🔥 37 minutes ago

🇺🇸 United States – Remote

💵 $140k - $180k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TrueML

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

TrueML is a leading company in the fintech sector, known for its innovative solutions that prioritize customer experience in the financial services industry. The company, along with its family of companies like TrueAccord, focuses on developing intelligent, digital-first communication platforms and products that revolutionize the consumer experience in financial health management. TrueML leverages the expertise of a dynamic team of data scientists, financial services experts, and customer experience specialists to create technology that addresses roadblocks to consumers' financial well-being, ensuring inclusivity and accessibility in financial systems. Founded in 2013 by Ohad Samet, TrueML continues to disrupt traditional financial services by making them more consumer-friendly and effective.

📋 Description

• Own complex engineering tickets end-to-end from design through implementation, testing, and production • Write clean, well-tested, maintainable code and uphold code review standards • Author and review Technical Design Documents and contribute to Architecture Decision Records • Lead technical discussions and make well-documented architectural trade-offs • Build and maintain the Common Event Bus, including event validation, enrichment, EventBridge routing, cross-account targets, DLQ handling, replay, and Iceberg lakehouse integration • Maintain Kafka/Debezium change-data-capture pipelines and Benthos jobs • Steward event and API contracts, schema definitions, generated bindings, versioning, and compatibility in trueml-model (OTDS) • Write production Terraform deployed via Atlantis across sandbox, development, staging, and production environments • Use and improve AI coding agents, repository context, MCP servers, and reusable agent workflows • Help own LLM-backed services, including prompt/context design, structured output, tool calling, validation loops, model selection, token budgets, and cost management • Instrument pipelines with observability metrics such as delivery rates, validation failures, DLQ depth, and latency • Drive reliability and operational health improvements • Mentor junior engineers through code review, pairing, and direct feedback • Lead spikes and timeboxed discovery work • Partner with Data Engineering, Data Science, and Product on data contracts, schema changes, and onboarding event publishers and subscribers • Contribute to code quality, testing, operational readiness, documentation, and FinOps discussions

🎯 Requirements

• Bachelor's degree in a related technical field, or equivalent practical experience • 5+ years of software or data engineering experience • Demonstrated ownership of production systems • Deep experience with event-driven architecture, including event buses, schema evolution, idempotency, dead-letter handling, and replay • Hands-on experience with EventBridge, SNS/SQS, Kinesis, and/or Kafka with a schema registry • Strong multi-account AWS fundamentals, including Lambda, IAM, S3, Glue Catalog, Athena, Firehose, and Iceberg • Production-grade Go or TypeScript experience • Willingness to work in the JVM for legacy platform systems • Terraform experience at production scale • Daily use of agentic coding tools such as Claude Code or equivalent • Practical understanding of MCP; ideally experience building an MCP server • Hands-on experience building with an LLM API such as Bedrock or Anthropic • Experience with prompt and context engineering, structured output, tool calling, evaluation, and guardrails • Ability to reason about model tiers, token budgets, and costs • Experience with PII, tokenization, and least-privilege access in a regulated environment • Understanding of prompt injection and over-broad agent permissions as security risks • Ability to work independently and improve under-documented systems • Ability to write clear technical design documents and explain technical trade-offs to non-engineers

🏖️ Benefits

• Flexible vacation • Medical/dental/vision insurance • Traditional/Roth retirement savings options • Company-paid disability and life insurance • Flexible Spending Account & Limited FSA • Family-friendly parental leave • Volunteer and voting time off • On-demand wellness platform access for you and 5 friends and family • PerkSpot discount program for 900+ merchants nationwide • Remote-first work environment • Reasonable accommodations for individuals with disabilities