Build and optimize scalable data pipelines and models that power critical business insights.
Leverage cloud technologies and automation to transform complex datasets into reliable, high-quality assets.
Partner closely with cross‑functional teams to translate business needs into robust technical solutions.
Design and build scalable data pipelines and models using Databricks, PySpark, and SQL.
Integrate and transform data from multiple sources with strong quality, observability, and governance.
Orchestrate and automate workflows using Airflow and CI/CD pipelines in GitHub Actions.
Develop and maintain infrastructure using Terraform and support DevOps tasks such as deployments, monitoring, and environment management.
Optimize pipelines for reliability, performance, and cost across cloud environments.
Collaborate with Product, Data Science, and Engineering teams to deliver reliable, scalable, and efficient data solutions.

Requirements

Bachelor’s degree in Computer Science and 3 years' experience in software engineering or related field, or 5 years’ experience in software engineering or related field, or Master's degree in Computer Science and 1 year’s experience in software engineering or related field.
2 years' experience in data engineering, database engineering, business intelligence, or business analytics.
Extensive experience in data engineering, including scalable pipeline development, data integration, and modeling.
Strong proficiency in SQL, Python, PySpark, Databricks, and workflow orchestration with Airflow.
Solid understanding of cloud platforms, especially Google Cloud Platform.
Hands‑on experience with CI/CD using GitHub Actions and infrastructure automation with Terraform.
Strong grounding in data governance, data quality, and compliance best practices.
Ability to design resilient data architectures across warehouses, lakes, and streaming systems.
Proven skill in translating complex business needs into effective data solutions.
Familiarity with machine learning concepts and how they integrate with data engineering workflows.

Benefits

Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata pipeline developmentdata integrationdata modelingSQLPythonPySparkworkflow orchestrationcloud platformsdata governance

Soft Skills

collaborationproblem-solvingcommunicationtranslating business needsresilience in design

Certifications

Bachelor's degree in Computer ScienceMaster's degree in Computer Science