Software Engineer, Data Infrastructure

DatologyAI

. Design, build, and maintain highly scalable data processing solutions while ensuring scalability, reliability, and security .

Posted 10/16/2026full-timeSan Mateo • California • United StatesMid-LevelSenior💰 $180,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data processing solutions, with a strong focus on reliability, security, and performance. Proficient in leading data engineering teams and developing infrastructure that supports large-scale machine learning and data curation.

Highest-signal resume keywords

Data Engineering ExperienceScalable Processing (Spark, Flink)Storage Systems (HDFS, S3)Workflow Orchestration (Airflow, Dagster)Proficiency in Python, Scala, or Java

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSQLMachine Learning SystemsData InfrastructureData Lakes/Warehouses (Snowflake, Hive)Production Systems OwnershipBack-End Systems DevelopmentData Processing SolutionsTesting and DesignScalable Systems

Soft Skills

Low EgoHigh OwnershipTeam CollaborationProblem-SolvingCommunication

Tech Stack

Tools & technologies

AirflowHDFSJavaPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, build, and maintain highly scalable data processing solutions while ensuring scalability, reliability, and security
Architect, build, and deploy back-end systems and services powering the data curation platform
Partner with researchers and engineers to bring new features and research capabilities to customers
Ensure systems are reliable, secure, and worthy of customers' trust
Partner closely with founders on product direction and business-critical technical decisions
Lead development of the core product and data platform
Help shape the company's technology, product, and culture

Requirements

What you’ll need

4+ years of experience in data engineering, including owning production systems end-to-end
Experience with scalable processing (Spark, Flink)
Experience with storage systems (HDFS, S3)
Experience with data lakes/warehouses (Snowflake, Hive)
Experience with SQL
Experience with workflow orchestration (Airflow, Dagster)
Proficiency in Python, Scala, or Java
Experience as a technical lead of a Data Engineering, Platform, or Infrastructure team
Experience building ML/DL systems or data infrastructure that feeds large-scale model training
High bar for design, correctness, and testing; ability to build scalable, reliable, and secure systems
Low ego, high ownership; willingness to help teammates, pick up whatever's needed, and see problems through to completion
Visa sponsorship is provided for candidates selected for this role

Benefits

Comp & perks

100% covered health benefits (medical, vision, and dental)
401(k) plan with a generous 4% company match
Unlimited PTO policy
Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility
Annual $2,000 wellness stipend
Annual $1,000 learning and development stipend
Daily lunches and snacks are provided in our office
Relocation assistance for employees moving to the Bay Area
Meaningful equity