Data & ML Engineer jobs in United States
cer-icon
Apply on Employer Site
company-logo

PEAK Technical Staffing USA · 17 hours ago

Data & ML Engineer

PEAK Technical Staffing USA is a global leader in retail loss prevention and customer safety, committed to innovation and impact. The Data & ML Engineer will design and operate data pipelines, build robust data infrastructure, and own machine learning pipelines to enhance the company's technological capabilities.

ConsultingHuman ResourcesInformation Technology
check
H1B Sponsor Likelynote

Responsibilities

Design, build, and operate scalable ELT/ETL pipelines for data ingestion from IoT/smart-cart telemetry, video events, operational systems, and external partners into our cloud data lake/warehouse
Build and maintain robust data infrastructure, including SQL and NoSQL databases, data warehouses, and data integration solutions
Establish canonical data models and definitions to ensure data trust and reuse across products, BI, and analytics
Implement data quality assurance through validation rules, automated tests, anomaly detection, and monitoring/alerting
Drive data consistency improvements across systems and document data contract expectations with producing teams
Troubleshoot pipeline and data issues, perform root-cause analysis, and implement durable fixes
Partner with BI Analysts and Product teams to create curated datasets and self-serve analytics foundations
Own the production lifecycle for the cart classification capability, including data collection/labeling workflows and evaluation
Implement and optimize machine learning pipelines from feature engineering to deployment and monitoring
Build and maintain evaluation harnesses and ongoing monitoring for accuracy and data drift
Collaborate with the FaceFirst ML team for model updates and feature changes
Ensure the classifier integrates cleanly into the product workflow with robust telemetry, logging, and operational runbooks

Qualification

ELT/ETL pipelinesSQLPythonCloud data platformsData quality practicesOrchestration toolingBachelor's DegreeCollaboration

Required

5 years of experience in building and operating production ELT/ETL pipelines and data warehouses
Fluency in SQL and Python (or similar) for data transformation, validation, and automation
Experience with cloud data platforms (Azure and/or GCP), including object storage, security/access controls, and cost-aware design
Hands-on experience with orchestration and transformation tooling (e.g., Airflow/Prefect) and batch processing frameworks (e.g., Spark/Databricks)
Practical experience in implementing data quality practices and improving data consistency across systems
Collaboration with operational teams to identify and remediate in-field system issues
Bachelor's Degree in Computer Science, Software Engineering, Information Systems, Mathematics, Statistics, or a related technical field

Benefits

Comprehensive healthcare benefits: medical, dental, vision, Life/ADD/LTD insurance, FSA/HSA options
401(k) Plan with Employer Match
Generous Paid Time Off (PTO) policy
11 paid company holidays
Various Employee Engagement Events
Exciting Growth Opportunities
Positive Company Culture
Medical, dental, vision, Flexible Spending Account (FSA), Dependent Care Savings Account (DCA), and 401K plan
Paid Sick Leave as required by Federal, State, or local laws

Company

PEAK Technical Staffing USA

twittertwittertwitter
company-logo
PEAK Technical Staffing USA is a staffing and recruiting company that provides it and engineering recruiting services.

H1B Sponsorship

PEAK Technical Staffing USA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (1)
2020 (4)

Funding

Current Stage
Late Stage

Leadership Team

leader-logo
Joseph V. Salvucci, Jr., MBA
Chief Executive Officer
linkedin
leader-logo
Brad Cieslinski
Chief Financial Officer
linkedin
Company data provided by crunchbase