Caseware is one of Canada's original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. While you might not have heard of us (yet) over 36,000 accounting and audit professionals list Caseware as a skill on their LinkedIn profiles!
At Caseware, we are evolving our cloud platform to deliver intelligent, data-driven experiences that help our customers work smarter, faster, and with greater confidence. As we expand Caseware Cloud with advanced data analytics and AI-powered agentic capabilities, we are investing in a modern, scalable data platform that serves as the foundation for insight, automation, and trust.
As a Senior Software Developer - Data Engineer, you will play a key role in shaping and operating the data infrastructure that powers Caseware Cloud. You will design and build reliable data pipelines that move data from our transactional systems into analytics and AI-ready platforms, enable real-time and event-driven data flows, and support production-grade AI systems such as retrieval-augmented generation and agent orchestration.
In this role, you will take ownership of complex data engineering solutions end-to-end, influence architectural direction through technical leadership and proof-of-concepts, and help ensure our data and AI platforms are secure, scalable, and operationally excellent. You will collaborate closely with platform, AI, DevOps, and product teams to translate emerging technologies into durable capabilities that directly impact customers across Caseware’s cloud ecosystem.
đź“Ť Location: This is a fully remote position located in Colombia.
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What you will be doing:
Design, build, and operate reliable ETL/ELT and ingestion pipelines moving data from transactional systems into analytics/AI-ready platforms.
Improve end-to-end data-lake foundations: storage layout, partitioning, schema evolution/versioning, lineage, cataloging, and delta synchronization.
Build and operate event-driven data flows that power real-time integrations and AI agent orchestration.
Help scale retrieval workflows (vector storage/indexing, embedding pipelines, RAG-adjacent data flows) that support production-grade AI capabilities.
Strengthen reliability across services and pipelines: retries, backoff, DLQs, idempotency, reconciliation, and operational observability.
Lead pragmatic modernization: reduce accidental coupling between business logic and infrastructure, improve contracts, and make systems easier to run locally and operate in production.
Partner across Platform/AI/DevOps/Product; lead proof-of-concepts and translate results into durable platform capabilities.
Participate in an on-call rotation and drive post-incident improvements (post-mortems, root cause analysis, and prevention).
You’re a great fit if you sound like one of these profiles
Profile A (most common): Backend/platform engineer who is strong in JVM distributed systems and has shipped real data workflows (Spark/EMR/Glue exposure).
Profile B: Data engineer who has built pipelines and is comfortable owning services, async messaging semantics, and production operations—not only transformations.
What you’ll bring:
Strong software engineering fundamentals: designing maintainable, testable systems and owning features end-to-end.
Production experience with distributed systems: async workflows, failure modes, retries, and eventual consistency.
Hands-on experience building and owning ETL/ELT pipelines, including ingestion from OLTP sources into a data lake.
Experience operating data systems in production: monitoring, incident response, and continuous improvement.
Cloud experience on AWS building production systems (not just using services): storage + messaging + orchestration.
Strong collaboration and communication; ability to mentor and raise engineering maturity through reviews and design discussions.
Strong English language communication and collaboration skills
Strongly preferred (high-signal)
JVM-first data processing experience (Java/Kotlin/Scala) with Spark-based workloads.
Experience with schema evolution and data contracts (versioning strategies, backfills, compatibility).
Operational ownership of pipeline reliability: replay safety, DLQ patterns, reconciliation, lineage thinking.
IaC experience (CDK preferred; CloudFormation/Terraform acceptable).
The Tech Stack You’ll Work With:
JVM services (Java 21+ / Spring microservices) and some Python.
AWS: EKS, Lambda; storage/messaging/catalog primitives (S3, DynamoDB, SNS/SQS, Lake Formation, Glue Catalog).
Search/retrieval: OpenSearch Serverless and related vector storage/retrieval components.
Tooling: GitHub/GitHub Actions, Nx monorepo, Jira/Confluence.
Why this role exists
Caseware is evolving Caseware Cloud to deliver intelligent, data-driven experiences—powering analytics, automation, and AI/agentic capabilities on top of a modern data platform.
This role is for someone who can bridge transactional backend systems and data-intensive distributed workflows. You’ll work on systems that combine:
What success looks like (first 6–12 months)
Perks & Benefits
¨Contrato a termino Indefinido¨ with all the legal benefits
Prepaid Medicine
Life insurance and funeral assistance
Internet allowance
Home office stipend
Competitive compensation — above the market average
100% remote work environment and an excellent work-life balance
Opportunity to work for a growing global SaaS leader company
A culture that promotes independence, innovation, trust, and accountability
Open space to be creative, innovative and strategize for the future
Mentorship by highly experienced professional
Budget for training, we want you to grow
5 Personal Time Off days per year
Sick Leave Top up to total 100% of salary paid by the employer from Day 3 to 90.
Recognition Award, additional paid time off in recognition of the corresponding year of service
Upgrade vacation starting at 5 years of service
