Senior Engineer – Data Systems & Platform

Atlas; Northern (KY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible PTO

Parental Leave Program

Growth and development opportunities

Diversity and inclusive environment

Job summary

Atlas HXM seeks a Senior Engineer who will design and build its core data systems, pipelines, and internal platforms powering production services. You will own data processing, schemas, and efficient storage, while emphasizing clean code, performance, and cost efficiency.

You will collaborate with product and backend teams, implement automated data testing and monitoring, and leverage AI-assisted tooling to accelerate delivery without compromising quality.

Qualifications

• 5+ years of professional software development in production.
• Deep understanding of relational DB internals and indexing.
• Experience with serverless streaming ingestions and Iceberg/Parquet sinks.
• Experience building AI/LLM-backed data use cases and retrieval pipelines.

Responsibilities

• Design, build, and maintain data processing pipelines.
• Collaborate to design operational DB schemas and analytical models.
• Write clean, tested code (SQL, Python, TypeScript).
• Audit queries and optimize storage and indexes.
• Enforce CI/CD across all data systems.
• Set up automated data testing, alerting, and monitoring.

Skills

SQL databases

Data pipelines

Python

TypeScript

CI/CD

AI/LLM tooling

Cloud storage/Parquet

Tools

Cloudflare Pipelines

Parquet

Iceberg

Snowflake

Databricks

DuckDB

Job description

United States of America

Atlas HXM is the global workforce platform built on compliance. We help companies determine how to engage each member of their workforce and then execute with accountability built in — direct Employer of Record (EOR), Agent of Record (AOR), payroll, and compliance capabilities backed by a decade of practitioner-led expertise. Recognized as a category Leader by NelsonHall and Everest Group, Atlas HXM builds Human Experience Management into everything we do, guided by our "For People, by People" principle.

The future of work is borderless, and so are we. Our people are located around the globe — in the U.S., the UK, India, Colombia, China, and beyond. Diversity and belonging are not just values; they are who we are.

We are also committed to making a positive impact. Through our Environment, Social, and Governance (ESG) impact initiative, we are addressing our environmental footprint and promoting social responsibility. Our impact program is central to our vision and culture, focusing on employee wellness, diversity, charitable work, and ethical corporate governance.

About the Role:

We are looking for a Senior Engineer who views data as a core software engineering discipline, not an exercise in configuring drag-and-drop SaaS vendors. In this role, youwon'tjust glue third-party platforms together; you will own, design, and build the underlying data systems, pipelines, and internal platforms that power our production services and application backend.

You care deeply about clean code, system performance, cost efficiency, automated testing, and developer experience. You understand when a lightweight query or a simple, well-designed service beats introducing a complex, expensive distributed computing cluster. You choose simple, maintainable systems over over-engineered platforms.

What You'll Do:

• Design, build, andmaintaindata processing pipelines using modern software engineering practices.
• Collaborate with product and backend engineers to design operational database schemas, analytical models, and efficient storage specsoptimizedfor read/write patterns.
• Write clean, modular, and well-tested code (SQL, Python, TypeScriptor similar)
• Audit slow queries,optimizestorage formats (e.g., Parquet, Iceberg), tune database indexes, and keep infrastructure compute and storage costs lean and predictable.
• Enforce CI/CDandversion controlacross all data systems.
• Set up robust automated data testing, alerting, andmonitoringto catch system anomalies and data quality regressions before production impact.

What We're Looking For:

• 5+ years of professional experience building software in production
• Deep understanding of relational database internals (Azure SQL or similar),indexing strategies, and query execution plans, alongside familiarity with column-store formats or distributed storage.
• Familiaritywith serverless streaming ingestion platforms such as Cloudflare Pipelines — streams, SQL transforms, and Iceberg/Parquet sinks to R2.
• Fluency with AI-assisted development tooling (e.g., Claude Code, Cursor, Copilot) anda track recordof using it to ship production code faster without sacrificing quality.
• Practical experience building AI/LLM-backed use cases on top of data systems — retrieval pipelines, embeddings and vector storage, evaluation harnesses, or agentic workflows against internal data.

Nice to Have:

• Exposure to open-source product analytics and event-tracking platforms (e.g.,PostHog).
• Familiarity with lightweight analytical processing engines (e.g.,DuckDB).
• Experience provisioning data infrastructure via code (e.g., Terraform).
• Experience with cloud data warehouse andlakehouseplatforms (e.g., Snowflake, Databricks).

This position description may not describe all duties, responsibilities, and skills associated with this position. It is intended to portray the major aspects of the job. Other duties or skills may be required.

What We Offer

• The opportunity to work with a purpose — simplifying global expansion across borders and cultures
• A diverse and inclusive environment
• Country-specific benefits
• Flexible PTO
• Your birthday off and a day for you to volunteer and give back to the organization of your choice
• Generous Parental Leave Program
• Growth and development opportunities with access to a top learning content provider
  
• The opportunity to challenge yourself in a high-performing organization and leave each day knowing you have made an impact.

Atlas Technology Solutions, Inc. (Atlas HXM) is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Atlas HXM is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Atlas HXM are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Atlas HXM will not tolerate discrimination or harassment based on any of these characteristics. Atlas HXM encourages applicants of all ages.

Atlas HXM will provide accommodation on request throughout the recruitment, selection and assessment process for applicants with disabilities.

Hiring decisions are based upon Atlas HXM’s operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, and location.

This role will be subject to a background check under local law after an employment offer has been made. Employment may be subject to results. In addition, references may be requested at the final stage of the process.

Atlas HXM will only email candidates from an "@atlashxm.com " email address. Candidates should ignore communications purporting to be from Atlas HXM that originate from any other email address. Atlas HXM will never ask candidates or employees to purchase gift cards or otherwise make payments in connection with applying for a job with Atlas HXM.