Data Software Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Software Engineer Krakow What your day could consist of: - Architect and Build Pipelines by designing, developing, and maintaining high-throughput data pipelines that seamlessly transform data across our ecosystem - Execute Data Modeling and Schema Design , utilizing DDL and DML operations to optimize data structures for both performance and long-term scalability - Champion Engineering Excellence by implementing automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform) to ensure system health and reliability . - Collaborate Cross-Functionally with Data Science and AI teams to engineer feature stores and automated MLOps pipelines, moving cutting-edge research into live production environments - Drive System Monitoring and health checks, ensuring our containerized and orchestrated environments (Kubernetes, Docker, Airflow) run at peak efficiency . - Act as a Technical Advisor to stakeholders, translating complex data architectures into clear, non-technical conversations that guide business decisions Technical environment: - Databases: MySQL, Amazon Aurora, Amazon RDS, PostgreSQL - ata Storage and Analytics: AWS S3, Apache Iceberg, Snowflake, Apache Druid, Looker - Data Processing and Transformation: Apache Spark, DBT - Languages: Python (primary) - Infrastructure as Code: Terraform - Containerization and Orchestration: Kubernetes, Docker, Airflow The Ideal Candidate Will Bring: - 4+ years of professional software engineering experience , with a proven track record of building and maintaining production-grade data systems . - Deep Data Architecture expertise , with the ability to design modern data stack components and schemas that balance immediate performance with future growth . - Proficiency in Infrastructure as Code , specifically using Terraform to

Read the full description at jobs.lever.co. FewerJobs shows a preview and links to the original posting.