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Added 6 mins ago
O
[Remote] Machine Learning Engineer
Oracle
Bismarck, ND
- $68,500 to $158,200 USD / year
As a Machine Learning Engineer, you should be proficient in building distributed systems, containerization, orchestration, and cloud-native architectures, you will collaborate with…
Added 6 mins ago
Staff AI Engineer
General Motors
Bismarck, ND
…Marketing, and Global Markets. This is a hands-on Staff AI Engineer role for an experienced individual contributor who can move from business problem framing and analytical discovery…
Added 7 mins ago
C
Frontier Engineer (AI/Agentic)
Cognizant
Bismarck, ND
- $100,000 USD / year
As a Frontier Engineer (AI/Agentic), you will make an impact by helping build scalable, cost-optimized, and secure AI-enabled solutions that reimagine business processes and deliver…
Added 7 mins ago
Consulting Principal, AI-Led Mainframe Modernization
Cognizant
Bismarck, ND
…leading complex mainframe transformation engagements and applying generative AI and AI-enabled engineering capabilities to accelerate modernization from discovery through cloud migration…
Added 7 mins ago
Senior Consulting Manager, AI-Led Mainframe Modernization
Cognizant
Bismarck, ND
…mainframe modernization programs using cloud-native technologies, generative AI, and AI-enabled engineering…
Added 24 mins ago
Senior Software Engineer
U.S. Bank National Association
Irving, TX · Hopkins, MN
Stay current with emerging backend, cloud, security, and generative AI development technologies and evaluate their appropriate use within enterprise applications.
Added 25 mins ago
AI Transformation Advisory - Senior Associate
SVCS Huron Consulting Services LLC
Remote, United States
Experience supporting AI or data-driven solution delivery, including generative or agentic AI applications.
Added 28 mins ago
AI Engineer
Humana Inc.
Louisville, KY · Washington, DC · NY · Tampa, FL · Boston, MA · Dallas, TX
We are seeking an AI Engineer who will contribute to Generative AI initiatives at Humana, leveraging state-of-the-art LLMs to build applications. Our goal is to create safe AI solutions…
Added 39 mins ago
TT
Senior Software Engineer, Customer Studio Backend
True Talent Solutions Partners
Remote, United States
- $180,000 to $320,000 USD / year
…activate data directly from their warehouses. As a senior backend engineer, you will shape product direction and build reliable, scalable systems for a growing product…
Added 43 mins ago
Staff Software Engineer - Agent Observability (Galileo)
Cisco
San Jose, CA
…from multiple services and generate actionable insights from generative AI traces, metrics, and…
Added 49 mins ago
Engineer, Software - Core & IP Services Automation
T-Mobile USA, Inc.
Bellevue, WA
Build with AI, engineer with judgment. Use AI-assisted development tools to accelerate coding, testing, and problem-solving while applying strong software engineering fundamentals to…
Added 1 hour ago
Staff Software Engineer
DataRobot, Inc.
Boston, MA · San Francisco, CA
…DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense…
Added 1 hour ago
Software Engineering Unit Manager
Capgemini
Atlanta, GA, GA
The career path for our FDEs is to become a Principal ODE and ultimately be a recognised industry leader and become a VP Distinguished Engineer or VP Business Partner.
Added 1 hour ago
IG
AI Engineer - GRC
Insight Global
Quincy, MA
- $50 to $55 USD / hour
…within Cybersecurity Governance, Risk, and Compliance (GRC). One engineer will focus on building an agent for their GRC Data Lake, and another will build an agent to automate controls for…
Added 1 hour ago
Agentic AI Engineer, Senior
Deloitte
Boston, MA
As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
Added 1 hour ago
Agentic AI Engineer, Senior - Anthropic/Claude
Deloitte
Boston, MA
As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
Added 1 hour ago
Agentic AI Engineer - Anthropic/Claude
Deloitte
Boston, MA
As an AI and Data Science Engineer II on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
Added 1 hour ago
AI & Data Science Engineer II
Deloitte
Boston, MA
As an AI and Data Science Engineer II on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
Added 1 hour ago
Data Engineer II
Deloitte
Boston, MA
The Data Engineer Consultant will support data architecture and engineering delivery that enables artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) solutions,…
Added 1 hour ago
AI Engineer II
Deloitte
Boston, MA
As an AI and Data Science Engineer II on the HC Forward team, you will be responsible for designing, building, and running the trusted, governed data, feature, and retrieval layer used by…
Added 1 hour ago
AI Engineer III
Deloitte
Boston, MA
…significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics.…
Added 1 hour ago
Staff AI Engineer
General Motors
Boston, MA
…Marketing, and Global Markets. This is a hands-on Staff AI Engineer role for an experienced individual contributor who can move from business problem framing and analytical discovery…
Added 1 hour ago
EG
Manual Quality Assurance Engineer with AI assist and Insurance claims (P&C)
Eliassen Group
Boston, MA
- $45 to $55 USD / hour
…contribute to quality reporting. The analyst will leverage Generative AI tools to enhance test design, documentation, and productivity, while validating AI outputs. Basic-to-intermediate…
Added 1 hour ago
Machine Learning Engineer, Sales Engineering
Apple
Austin, TX
…high-impact applications. We’re looking for a Machine Learning Engineer to help us design and build the next generation of intelligent systems that power Apple’s global partner ecosystem.…
Added 1 hour ago
AI Ops Research Engineer-Mid -Level
United Services Automobile Asn
United States
We are seeking a dedicated AI Operations Research Engineer-Mid -Level. The AI Operations Research Engineer conducts applied research and experimentation to identify and advance emerging AI…

Jobgether

Staff Software Engineer, Data

Remote, United States

$175,500 to $230,000 USD / year

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Job details

Pay: $175,500 to $230,000 USD / year
Experience: At least 6 years of experience building and operating production data platforms, including responsibility for architectural decisions.
Posting language: English
Posted: Oct 29, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, Data based in the United States.

We are looking for an experienced data engineer to own and evolve a comprehensive data platform supporting business operations and advanced AI research. In this hands-on role, you will design and operate scalable data infrastructure, connect business systems, and transform complex data into reliable, actionable insights. You will also build large-scale pipelines that convert raw and synthetic media into high-quality training datasets across audio, video, image, and 3D modalities. Working closely with Finance, Product, Security, Infrastructure, Marketing, and Research teams, you will help establish reliable data flows and robust governance practices. You will have significant technical ownership in a small, collaborative environment that values engineering judgment, autonomy, and measurable outcomes. This opportunity is ideal for a senior engineer who combines strong software development practices with deep data modeling expertise and an interest in enabling cutting-edge generative AI research.

Accountabilities:

You will own the data platform end to end, from cloud infrastructure and business-system integrations to warehouse modeling and multimodal research pipelines, ensuring data remains reliable, secure, scalable, and accessible.

• Own and maintain the company data platform, including the AWS data lake built with S3, Athena, and Glue, the dbt transformation layer, data ingestion pipelines, and the PostgreSQL serving layer used by dashboards and AI agents.

• Build and maintain integrations across billing, customer relationship management (CRM), enterprise resource planning (ERP), identity, and telemetry systems, ensuring revenue, usage, cloud costs, and customer identities reconcile automatically.

• Develop and maintain warehouse models, dimensional schemas, product event data contracts, data quality tests, lineage tracking, and data catalog documentation.

• Implement and enforce personally identifiable information (PII) access controls and data classification practices, including open and restricted schemas, in collaboration with Security and Legal teams.

• Process large-scale datasets involving billions of telemetry records and terabyte-scale log streams, optimizing Iceberg tables, partitioning strategies, query performance, and infrastructure costs.

• Manage data orchestration and infrastructure on Kubernetes and Amazon EKS, using Helm, Terraform, CI/CD pipelines, monitoring, and alerting to ensure reliable daily operations.

• Participate in the business-hours on-call rotation and troubleshoot failures affecting production data pipelines.

• Deliver operational reporting for Finance and leadership, including revenue by business line, credits and prepaid liabilities, and cloud spending by department.

• Support research teams across audio, video, image, and 3D modalities by sourcing, verifying licenses for, ingesting, and versioning large training datasets.

• Build scalable pipelines for media generation, filtering, deduplication, and captioning, producing training-ready data shards across SLURM clusters and cloud object storage.

• Maintain dataset lineage, quality metrics, and documentation so researchers can reproduce training datasets consistently.

• Lead technical design reviews, mentor teammates, and develop runbooks that improve operational resilience and reduce reliance on individual contributors.

• Collaborate with Finance, Marketing, Site Reliability Engineering (SRE), Security, Product, and Research on cross-functional data initiatives.

Requirements:

The ideal candidate combines strong software engineering discipline, advanced data modeling skills, production infrastructure expertise, and the ability to work independently while taking ownership of complex technical systems.

• At least 6 years of experience building and operating production data platforms, including responsibility for architectural decisions.

• Demonstrated experience integrating SaaS business systems, such as Stripe, HubSpot, ERP platforms, and identity providers, into a centralized data warehouse.

• Production experience preparing large-scale multimodal training datasets and running batch workloads using high-performance computing (HPC) or cloud schedulers such as SLURM, Kubernetes, or equivalent technologies.

• Expert-level SQL and Python skills, supported by strong engineering practices including automated testing, code reviews, and continuous integration.

• Hands-on experience with data warehouses and data lakes, including data modeling and technologies such as Apache Iceberg or Delta Lake on S3, Athena or Trino, Snowflake or BigQuery, and dbt.

• Experience operating production orchestration systems such as dbt, Airflow, or Argo, and working with distributed processing technologies such as Spark or equivalent frameworks.

• Strong knowledge of AWS, Kubernetes and EKS, Helm, and Terraform, with the ability to troubleshoot issues across data processing jobs and infrastructure deployments.

• Ability to work autonomously in a small team, make sound technical decisions, and take end-to-end responsibility for production systems.

• Strong analytical judgment and the ability to interpret data accurately, communicate its limitations, and ensure stakeholders understand what metrics do and do not represent.

Additional strengths that would be valuable include:

• Experience owning and building a data platform from the ground up in a startup environment.

• Experience collaborating with research teams working on generative AI models or handling audio, video, image, and 3D datasets.

• Familiarity with FinOps practices and cloud cost allocation and reporting.

• Knowledge of SOC 2 or similar compliance frameworks governing data access and security.

Benefits:

• Annual base salary: $175,500–$230,000 USD for eligible candidates hired in the United States, depending on relevant experience, skills, and interview performance.

• Equity: Participation in the company equity program for eligible employees.

• Health insurance: Medical coverage for employees and their families, with PPO and HMO options. Selected plans include 100% premium coverage for eligible employees and dependents.

• HSA and FSA accounts: Options to set aside pre-tax funds for healthcare and other eligible expenses.

• Life insurance: Company-paid life insurance, with optional additional coverage for employees, spouses, and children.

• Disability coverage: Short-term and long-term disability benefits to help protect income in the event of illness or injury.

• Retirement savings: 401(k) plan with a company match of up to 4%.

• Paid parental leave: Support for employees as their families grow.

• Flexible time off: Flexible paid time off and paid company holidays.

• Work equipment: Equipment provided to help employees perform their work effectively.

• Transparent compensation: Open discussions about salary ranges, compensation decisions, and potential leveling throughout the recruitment process.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Skills

Research
Data modelling
AWS
dbt
PostgreSQL
ERP
Documentation
Manage data
Kubernetes
IBM Terraform
CI/CD
Troubleshoot
Reporting
Leadership
Organisational resilience
Work independently
HubSpot
Data warehouse
SQL
Python
Test automation
Snowflake
BigQuery
Apache Airflow
Apache Spark
Process data
Manage quantitative data
Regulatory compliance

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