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Added 2 mins ago
Chef de Partie
RACV
RACV City Club, OH
Oversee day‑to‑day section operations, including mise en place and task delegation
Added 14 mins ago
A
2027 University Graduate - Technical Support Consultant
Adobe
San Jose, CA
- $54,900 to $106,800 USD / year
…customer support efficiency, improve workflows and streamline team operations. This is an incredible opportunity to learn how high scale systems are supported in production and to grow your…
Added 14 mins ago
A
2027 University Graduate - Technical Support Consultant
Adobe
San Jose, CA
- $54,900 to $106,800 USD / year
…customer support efficiency, improve workflows and streamline team operations. This is an incredible opportunity to learn how high scale systems are supported in production and to grow your…
Added 16 mins ago
Trade Finance Solutions Architect - Senior Vice President
Citibank, N.A.
United States
…directly with senior stakeholders across business, product and…
Added 25 mins ago
Product Manager
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Palo Alto, CA
Partner closely with Engineering and Operations to turn insights into roadmap priorities
Added 31 mins ago
Senior Technical Program Manager / Strategic Program Lead
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7+ years of experience in technical program management, engineering leadership, or technical operations.
Added 31 mins ago
EG
Product Manager
Eliassen Group
Charleston, WV
- $65 to $75 USD / hour
…enterprise. The role partners with Engineering, Design, Data, Operations, Marketing, and other teams to deliver products that improve customer and associate experiences while driving…
Added 31 mins ago
EG
Data Scientist
Eliassen Group
Charleston, WV
- $74.46 to $84.46 USD / hour
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, Operations Research, Physics, or a related quantitative field required.
Added 34 mins ago
Regional Sales Director - Identity
Workday, Inc.
CA · TX · MA · GA · IL · NY · CO
Added 36 mins ago
Sales Development Representative (SDR)
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FL · MN · NJ
THG Ingenuity is a proprietary Software-as-a-Service (SaaS) technology, robotics, and operations platform built for global ecommerce. Developed through more than two decades of operating…
Added 38 mins ago
Sr Principal Engineer - Data
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Indianapolis, IN
…decision support to Lilly's Supply Chain and Manufacturing…
Added 39 mins ago
Manager of Non-Conformance - Root Cause Analysis/Deviations
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Indianapolis, IN
Added 39 mins ago
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Data Scientist
Eliassen Group
Indianapolis, IN
- $74.46 to $84.46 USD / hour
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, Operations Research, Physics, or a related quantitative field required.
Added 39 mins ago
EG
Product Manager
Eliassen Group
Indianapolis, IN
- $65 to $75 USD / hour
…enterprise. The role partners with Engineering, Design, Data, Operations, Marketing, and other teams to deliver products that improve customer and associate experiences while driving…
Added 1 hour ago
Security Compliance Engineer
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Novi, MI
…governance, risk, and compliance (GRC) with hands-on security operations and engineering. We protect Personally Identifiable Information (PII), Protected Health Information (PHI), and…
Added 1 hour ago
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…working with COP (Clean-Out-of-Place) and CIP (Clean-In-Place)…
Added 1 hour ago
Chief Academic & Research Information Officer (CARIO)
University of Michigan
Ann Arbor, MI
…technology capabilities supporting research, education, and academic operations across the…
Added 1 hour ago
EG
Product Manager
Eliassen Group
Lansing, MI
- $65 to $75 USD / hour
…enterprise. The role partners with Engineering, Design, Data, Operations, Marketing, and other teams to deliver products that improve customer and associate experiences while driving…
Added 1 hour ago
EG
Data Scientist
Eliassen Group
Lansing, MI
- $74.46 to $84.46 USD / hour
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, Operations Research, Physics, or a related quantitative field required.
Added 1 hour ago
Technical Program Manager, Compute Management, DeepMind
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Background in technical program management, capacity planning, or large-scale ML infrastructure operations, backed by direct proficiency with SQL, Python, and quantitative capacity modeling.
Added 1 hour ago
Staff Software Engineer, Customer Services Edge, Google Global Infrastructure
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…AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much…
Added 1 hour ago
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Advise sales, commercial operations, sourcing, contract and project management teams during the tendering phase on business strategy and deal structures; draft, negotiate and approve…
Added 1 hour ago
A
Immediate Start - Production Associate
Aerotek
Buffalo Grove, IL
- $18 USD / hour
As a Production Associate, you'll support critical manufacturing operations by assembling components, preparing products for shipment, and maintaining quality standards throughout the…
Added 1 hour ago
Lead DevOps Engineer
Humana
Oak Brook, IL
Own Developer Experience (DevEx), including onboarding, Day 2 operations, self-service tooling, and developer productivity initiatives.
Added 1 hour ago
Sr Manager - IT Appl Dev
United Airlines
Chicago, IL
Our team supports the Network Operations Center (NOC) and Stations Operations Center (SOC) by delivering tools and technology that improve operational performance and the customer…

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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