Data Engineer

AgileGrid Solutions; United States; Remote; USD 150,000 - 220,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Health insurance

Learning & development

Job summary

GrabJobs is seeking a Senior Data Engineer to design, build, and maintain robust data pipelines for an evidence platform. This remote role is open to candidates in the United States, collaborating with product, clinical, and data science teams to deliver scalable data solutions.

You will lead data platform architecture, emphasize automation, and contribute to quarterly data product releases while driving data quality and observability across complex clinical data sources.

Qualifications

• 8+ years of data engineering experience.
• Proficient with Snowflake and dbt.
• Strong Python scripting for pipelines.
• Experience handling high-variance clinical data.
• Familiarity with OMOP CDM, HL7, or FHIR is a plus.

Responsibilities

• Lead design and evolution of data platform architecture.
• Develop and operate production-grade data pipelines.
• Automate detection and recovery of issues.
• Mentor engineers and maintain shared standards.
• Promote AI tools to improve development workflows.

Skills

Snowflake

dbt

Python

Data pipelines

Observability

AI tools

Stakeholder comms

Tools

dbt

Snowflake

Job description

About The Company

GrabJobs is a leading recruitment platform dedicated to streamlining the hiring process for businesses across various industries. Our innovative platform leverages cutting-edge technology to connect employers with qualified candidates efficiently, reducing time-to-hire and enhancing the overall recruitment experience. We are committed to fostering a dynamic and inclusive work environment where talent can thrive. As a company at the forefront of HR technology, GrabJobs continuously evolves to meet the changing needs of the global workforce, providing solutions that empower organizations to build strong, diverse teams.

About The Role

We are seeking a highly experienced Senior Data Engineer to join our team remotely from the United States. In this role, you will be instrumental in designing, building, and maintaining robust data pipelines that support our core platform's high-accuracy real-world evidence generation capabilities. Your expertise will ensure that our data infrastructure can handle complex, heterogeneous clinical data sources with resilience and automation. You will work closely with cross-functional teams, including product managers, clinical experts, and data scientists, to deliver reliable, scalable data solutions that underpin our evidence platform. This role offers a unique opportunity to influence the technical direction of our data architecture, contribute to quarterly data product releases, and drive innovations in data quality and automation.

Qualifications

The ideal candidate will have over 8 years of experience in data engineering, with a proven track record in leading technical initiatives. You should possess in-depth knowledge of Snowflake and dbt as primary data platform tools, along with strong Python skills for building and maintaining complex data pipelines. Experience in designing resilient pipelines that handle high-variance, messy clinical data sources is essential. You should be well-versed in system thinking, including observability, failure recovery, and automation, ensuring pipelines operate smoothly with minimal manual intervention. Additionally, the candidate must be capable of engaging meaningfully with business and domain stakeholders, understanding the context and significance of the data. Familiarity with AI tools for enhancing development velocity and data quality monitoring, especially in anomaly detection, is highly desirable. Excellent communication skills and the ability to collaborate effectively across engineering, product, and clinical teams are crucial. Knowledge of healthcare data standards such as OMOP CDM, HL7, or FHIR, and experience with EHR data, will be considered a plus.

Responsibilities

Your primary responsibilities will include leading the design and evolution of our data platform architecture, establishing best practices and standards for the team. You will develop and operate production-grade data pipelines capable of reliably ingesting and transforming high-variance clinical data at scale. From the outset, your designs should emphasize automation, enabling pipelines to detect issues, recover gracefully, and surface problems without manual intervention. You will actively contribute to quarterly data product releases, collaborating with product, clinical, and customer success teams to meet project commitments. Building and maintaining data quality tests that adapt to the evolving needs of downstream consumers is vital. As a senior team member, you will mentor and guide other data engineers through code reviews, architecture decisions, and the establishment of shared standards. Additionally, you will advocate for the use of AI tools to improve development workflows and code quality, fostering a culture of continuous improvement and innovation within the team.

Benefits

At GrabJobs, we prioritize our employees' well-being and professional growth. We offer competitive compensation packages, with a base salary range of $150,000 to $220,000 depending on experience. Our benefits include comprehensive health insurance, flexible work arrangements, and opportunities for ongoing learning and development. We promote a collaborative and inclusive work environment that values diversity and encourages innovation. As part of our team, you will have the chance to work on impactful projects that shape the future of HR technology and recruitment, all within a supportive remote work setting.

Equal Opportunity

GrabJobs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, disability, sexual orientation, or any other protected characteristic. We believe that diverse teams foster innovation and drive better outcomes, and we welcome applicants from all backgrounds to apply and join our mission to revolutionize recruitment technology.