Platform Engineer - Data Science Platform Job at Robert Half (Columbus, OH or Dallas, TX or Minneapolis, MN)

ML / Data Engineer – Data Science Enablement

This role will report to the Data Science Enablement Manager and support the Rar...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s in Computer Science, Data Engineering, or related technical field
3–5 years of experience in ML engineering, data engineering, or related roles
Strong programming skills in Python and SQL
Experience with data pipeline development and distributed computing (e.g., Spark/PySpark)
Working knowledge of Databricks and at least one cloud platform (AWS, Azure, or GCP)
Experience with ML lifecycle tools (e.g., MLflow, Git, CI/CD pipelines)
Understanding of model deployment, monitoring, and reproducibility practices

Job Responsibility

Build and maintain scalable data and ML pipelines to support patient finding use cases across the patient journey
Productionize machine learning models by developing deployment workflows, APIs, and batch/real-time scoring pipelines
Design and implement model evaluation, validation, and monitoring frameworks (performance tracking, drift detection, alerting)
Enable end-to-end ML lifecycle management, including training, versioning, deployment, and retraining workflows
Partner with RDBU data science teams to translate analytical solutions into production-ready systems
Develop ML-ready datasets and feature pipelines, ensuring data quality, consistency, and reusability
Support model tracking and experiment management using standardized tools and frameworks
Build tools and utilities to monitor, track, and operationalize model outputs for downstream consumption
Collaborate with enterprise data and platform teams to ensure compliance with data governance, security, and architecture standards
Follow engineering best practices for code quality, documentation, testing, and CI/CD integration

Data Governance & Data Quality Platform Engineer

We are seeking a Data Governance & Data Quality Platform Engineer to own the tec...

Location

United States , Houston

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Engineering, or a related field
Hands‑on experience administering data governance and data quality platforms (e.g., Atlan, Monte Carlo, DQ tools), including API‑based integrations
Strong understanding of data catalogs, data lineage, and metadata management
Solid knowledge of data governance principles and data quality frameworks
Familiarity with Data Mesh concepts and decentralized data ownership models
Experience building data products and supporting orchestration workflows

Job Responsibility

Configure and maintain data governance platforms for metadata management, data lineage, and governance workflows
Configure data quality tools for profiling, rule creation, and monitoring dashboards
Manage platform security, including user roles, authentication, SSO, RBAC, and access controls
Develop and maintain integrations across data sources, databases, data lakes, and BI tools
Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks
Configure and maintain connectors for analytics and reporting platforms
Monitor platform health and optimize performance and scalability
Apply upgrades, patches, and troubleshoot technical issues
Implement logging, alerting, and proactive monitoring for governance and data quality environments
Provide Tier 3 support for platform‑related incidents and escalations

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Principal ML Systems Engineer, Data Platform (Autonomous Vehicles)

We are seeking a highly skilled and experienced Principal ML Systems Engineer to...

Location

United States , Austin; Bellevue

Salary:

233400.00 - 339650.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

BA or MS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field
10+ years in building distributed data platforms using major cloud providers and open-source frameworks
Expert-level proficiency in Java, C++, or Python, with a proven track record of designing and implementing robust, distributed systems
Expertise in implementing Data Processing Frameworks (Beam, Spark) and serving layers optimized for high-throughput, low-latency delivery
Experience optimizing services for cost efficiency, performance & reliability
Experience with Micro services architecture and proven ability to manage the full operational lifecycle of systems
Deep understanding of full ML model lifecycle (feature engineering, training, validation, deployment, monitoring, etc.)
Strong passion, and understanding about self-driving technology and its potential impact on the world
Experience working with (100+) petabyte-scale ingestion, processing, and serving architectures
Experience with SQL engines / queries

Job Responsibility

Design & develop the next generation distributed ML data platform (Ingestion, Processing, Serving) using GCP and open-source frameworks
Leading the strategy of building performant and efficient multi-cloud platforms
Collaborate with stakeholders (ML & Data Engineers), translate needs & pain points into requirements, build self-serve capabilities and drive adoption
Deliver e2e technical projects owning major technical decisions and tradeoffs & contribute to the team’s strategic roadmap
Champion engineering & operational excellence by continuously improving systems and processes
Actively participate in team’s planning, code reviews and design discussions
Conduct technical interviews, onboard new and mentor junior engineers

What we offer

Relocation benefits
Company vehicle evaluation program
medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance

Fulltime

Senior Data Science Engineer

At T-Mobile Advertising Solutions, we're building privacy-first advertising prod...

Location

United States , Philadelphia; New York

Salary:

116500.00 - 210100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.)
4-7 years experience building and deploying machine learning and deep learning solutions at scale
familiarity with MLOps and DevOps practices and tools
4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift)
4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS)
4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Lead the end-to-end development of machine learning and data products aligned to business objectives, from problem framing through deployment and monitoring
Build scalable data, training, and inference pipelines using distributed processing and cloud technologies
Apply statistical methods, experimentation, and validation frameworks to ensure solution quality and business impact
Write production-quality code and contribute to engineering best practices, including testing, CI/CD, and observability
Collaborate across engineering, product, and business teams while leading other engineers and data scientists

What we offer

Competitive base salary
Annual stock grant
Employee stock purchase plan
401(k)
Free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off and up to 12 paid holidays
Paid parental and family leave
Family building benefits

Fulltime

SVP Senior Market Data Platform Engineer

Citi's Equities Technology organization is seeking a hands-on Senior Market Data...

Location

United States , Jersey City

Salary:

176720.00 - 265080.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

12+ years of hands-on engineering experience building low-latency, high-throughput systems, with strong proficiency in modern C++
Prior experience designing or owning real-time market data distribution platforms in a global financial institution (Equities required
multi-asset a plus)
Deep, hands-on experience with UDP multicast in production environments, including loss, recovery, and operational behavior
Strong understanding of low-latency techniques, including NUMA, core pinning / CPU isolation, IRQ affinity, kernel and network tuning, memory management, and cache locality
Production experience using Aeron, including transport/driver tuning, back-pressure management, loss/replay semantics, and performance diagnostics
Demonstrated ownership of wire-to-consumer latency observability, including histograms, tail analysis, and regression detection
Strong understanding of exchange microstructure and regional market structure differences across global venues
Ability to prioritize multiple initiatives and deliver in a fast-paced, globally distributed environment
Excellent communication skills, with the ability to reason about and clearly explain complex systems to engineers, quants, and trading stakeholders

Job Responsibility

Design and develop Citi's next-generation real-time market data distribution platforms delivering normalized market data to multiple internal consumers across regions
Build and evolve performance-critical C++ components for market data ingestion, normalization, and fan-out
Define and enforce platform standards for market data semantics, schemas, and correctness guarantees
Engineer the end-to-end wire-to-consumer hot path, with explicit focus on NUMA-aware design, core pinning / CPU isolation, lock-free concurrency, memory layout, and cache locality
Own operating-system and runtime-level optimizations, including Linux kernel and network tuning, IRQ affinity, threading models, and performance profiling
Ensure deterministic performance under burst load, packet loss, and volatile market conditions
Use Aeron (or equivalent) for high-performance fan-out and IPC, with hands-on responsibility for driver configuration, transport selection, and tuning. Own Aeron back-pressure behavior, loss/replay semantics, and performance diagnostics to meet latency and correctness targets
Own latency measurement and observability using histograms (p50/p95/p99/p99.9) and tail analysis
establish baselines and alerting on distribution shifts
Drive high standards in code quality, automated testing, and SDLC discipline, with particular emphasis on correctness and latency regression safety

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Data Platform Engineer

OneTrust’s mission is to enable innovation through the responsible use of data a...

Location

United States , New York

Salary:

81150.00 - 121725.00 USD / Year

OneTrust

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science, Engineering or related field
3+ years of overall experience and 3+ years of experience with very large-scale data warehouse projects
Strong experience in SQL, knowledge of dimensional modeling, supporting data warehouse, scaling, optimizing and performance tuning ETL pipelines
1+ years of experience with Python and manipulation of various data formats for extraction and transformation
1+ years of experience with Snowflake, Airflow, ETL/Integration tools administration
Hands-on experience with Data Warehouse technologies (Snowflake, Redshift) and Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis)
Experience evaluating new tools and enriching existing architecture
You are a self-starter, hands-on technical expert who continuously gather and synthesize high-impact needs from business partners, design and implement the appropriate technical platform solution, and effectively communicate about deliverables,timelines and tradeoffs

Job Responsibility

Build and automate modern data platforms (AWS, AZURE, Snowflake) with native technologies, deploy applications, and provision of infrastructure
Perform Administration, Maintenance and provide support to production systems (Snowflake, Fivetran, DBT, Power BI, Airflow)
Build and maintain CI/CD pipelines and infrastructure as code (IaC) practice across the platform for safe and reproducible deployments
Design, build and implement automation framework for scale that deliver data with measurable quality under the SLA
Drive technical conversations with stakeholders to understand the platform's needs and come up with a provisioning strategy
Work effectively using scrum with multiple team members to deliver value effectively
Reduce technical debt over time with root cause identification, issue resolution and promote best practices across the platform

What we offer

comprehensive healthcare coverage
flexible PTO
equity RSUs
annual performance bonus opportunities
retirement account support
14+ weeks of paid parental leave
career development opportunities
company-paid privacy certification exam fees

Fulltime

Data Platform Engineer - Assistant Vice President

We are seeking a talented and passionate engineer to join our growing team. As a...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field
Minimum 5 years of experience developing and deploying production-ready Java applications in a data engineering context
Strong experience with core Java (version 11 or higher), SQL, and database APIs
Proven experience working with distributed stream processing frameworks like Apache Flink, Spark Streaming, or Kafka Streams
Experience with event-driven architectures and real-time data processing
Solid understanding of OOP concepts, multithreading, and thread pools
Familiarity with containerization technologies like Docker and deployment platforms like Openshift, ECS, or Kubernetes is a plus
Experience producing high quality code using agentic coding assistants
Excellent communication and collaboration skills

Job Responsibility

Design, develop, and maintain robust and scalable data platform using Java and related technologies (e.g., Apache Flink, Kafka, Trino)
Advise data engineers on how to build and optimize real-time and batch data processing applications to support low-latency requirements
Extend the platform with data integration solutions between various data sources and targets, including databases, APIs, and streaming platforms
Contribute to the design and development of event-driven architectures
Write clean, well-documented, and testable code
Collaborate effectively with other engineers, product managers, and stakeholders throughout the software development lifecycle (SDLC), adhering to Agile methodologies
Stay up-to-date with the latest trends and technologies in the data engineering space

Fulltime

Senior Data Platform Engineer

Join our Data Platform team at 10x Genomics to architect and implement our strat...

Location

United States , Pleasanton

Salary:

168200.00 - 227600.00 USD / Year

10x Genomics

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Management, or a related field, or equivalent experience
5+ years of hands-on experience in software engineering focused on data platform development, distributed systems, or enterprise integrations
Proven experience designing and implementing highly scalable data platforms on major cloud environments (e.g., AWS, GCP, or Azure)
Deep proficiency in one or more general-purpose programming languages (e.g., Python, Java, or similar)
Strong foundation in computer science fundamentals, including data structures, algorithms, and system design

Job Responsibility

Architect and implement the canonical data layer and Event-Driven Architecture (EDA) using technologies like Apache Iceberg and Kafka to decouple applications and ensure real-time data flow
Design, build, and optimize high-volume, code-first data pipelines (real-time and batch) across a large application landscape (e.g., Salesforce, Oracle, Workday)
Establish Amazon S3 as the Single Source of Truth (SSOT) and govern data using principles like the Medallion Architecture (Silver and Gold layers) and schema evolution
Develop, test, and maintain robust and scalable ELT pipelines and data models in Snowflake, including leveraging advanced features like Snowpipes, Streams, and Stored Procedures
Develop the data presentation layer for self-service analytics, including the Natural Language Query (NLQ) interface integrated with Generative AI (e.g., Bedrock)
Lead technical efforts to migrate key business domains off legacy middleware and onto the new platform, eliminating the 'Integration Bottleneck'
Define and enforce data governance, quality, and security standards across the Unified Data Platform
Collaborate with the Architecture Review Board (ARB) to promote modern approaches such as serverless computing and Domain-Driven Design
Take ownership of the full development lifecycle, from prototyping and design through deployment, monitoring, and operational excellence

What we offer

Equity grants
Comprehensive health and retirement benefit programs
Annual bonus program or sales incentive program
Health Package
Easy-to-use Benefits
Family oriented policies including parental leave
Generous Time Off
Award-Winning Workplace

Fulltime

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Platform Engineer - Data Science Platform

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