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Today

Senior Data Analytics Engineer

Microsoft United States

United States

Today

$106k - $223k/yr Full time Senior Analytics Artificial Intelligence

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Job Description

Build the pipelines, semantic layer, and serving infrastructure behind CSS intelligence and detection products at Microsoft. This is a platform-focused role with end-to-end ownership of governed, certified measures, reliability, and data quality, so AI decision systems and executive experiences can trust the numbers they rely on.

Location: United States (onsite)

Compensation: USD 106,400 - 222,600 per yearly

Experience: 2+ years

What you will do

Design and operate data pipelines that power CSS intelligence, covering both organizational batch processing and near real-time streams where detection latency matters.
Ingest case and agent telemetry, integrate with a unified data platform and Finance systems, and build production scoring pipelines that run data science models continuously (not limited to notebook workflows).
Own pipeline reliability through monitoring and alerting, including handling schema drift and late-arriving data so failures surface early to the engineers responsible.
Build and maintain the semantic layer between raw data and consuming experiences, including dimensional models, certified measures with documented definitions and clear ownership, consistent hierarchies, and security context that governs access.
Ensure the semantic layer supports more than reporting: the detection engine uses it for baselines and thresholds, and executive and natural-language experiences query it via a semantic API with a traceable query path.
Embed data quality and observability directly into pipelines with freshness stamps, reconciliation tests against sources of record, contract checks between producers and consumers, and end-to-end lineage for traceability.
Apply engineering discipline to analytics using source control, deployment pipelines, environment separation, and infrastructure as code. Manage cost and performance via partitioning, incremental refresh, and query optimization.
Partner with data scientists and applied AI engineers to productionize models, preparing data for AI consumption through grounding, retrieval, and feature-serving patterns agents depend on.
Design for handoff so schemas, APIs, deployment approaches, and documentation are understandable to teams that did not build the system.

What you bring

Education and experience: Master’s degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis; OR Bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 4+ years experience in the same areas.
Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or Power BI semantic models in a production environment.
Experience building data platforms that serve AI or machine learning workloads, including feature serving, retrieval and grounding data, or model scoring at scale.
Experience implementing data governance in practice, including certified metric definitions, tiered metric ownership, and a promotion process for executive reporting readiness.
Experience supporting executive-facing analytics where accuracy, freshness, and traceability are required.

Core technologies

SQL, Python, Spark, PySpark, Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, DAX, Power BI, CI/CD, Infrastructure as code, API, Natural language, Azure

Additional or preferred qualifications

Master’s degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis; OR Bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 8+ years experience in the same areas.

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Today

Client Tech Support Engineering - Sr Professional II

Fiserv Raleigh, NC 🇺🇸 Remote

Raleigh, NC

Today

Full time Senior Application Support Customer Support

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Job Description

Support Digital Payments clients by diagnosing complex application issues, partnering across Product and Engineering, and improving support outcomes.

Responsibilities

Troubleshoot software application problems by replicating client-reported errors in integrated test environments
Analyze server logs, XML code, and Single Sign-On (SSO) data to identify root causes and drive resolution
Provide Level II support to clients via phone, email, and inquiry management tools
Collaborate with Product Management and Engineering to share client feedback and validate release readiness
Support and maintain existing CashEdge application releases
Build product knowledge across Digital Payments applications and share technical guidance with clients and team members
Develop tools, documentation, and process improvements to enhance client support workflows and reduce recurring issues

Requirements

6+ years of experience in object-oriented programming for scalable, secure, maintainable web applications
5+ years troubleshooting production or test environment application issues using server logs, XML data, SSO information, or similar diagnostic inputs
2+ years developing or supporting applications using Java Platform, Enterprise Edition (Java EE) (formerly J2EE) and SQL
2+ years supporting client-facing technical issues within a post-sales customer support organization
2+ years working with web technologies including XML, web services, HTML, JavaScript, or similar technologies
2+ years analyzing complex technical issues requiring research, replication, documentation, and cross-functional resolution
Bachelor’s degree (or higher) in Computer Science, Engineering, or related field, or an equivalent combination of education, related experience, and/or military experience

Technologies

Object-oriented programming
Java Platform, Enterprise Edition (Java EE), J2EE
SQL
XML, Single Sign-On (SSO)
Web services
HTML, JavaScript
Server logs
CashEdge
Phone, Email, inquiry management tools

Experience That Would Be Great To Have

Software engineering or quality assurance experience for financial services or digital payments applications
Experience using Salesforce Customer Relationship Management (CRM) for case documentation, issue tracking, or client support workflows
Experience with Model-View-Controller (MVC) frameworks and view technologies such as JavaServer Pages (JSP) or JavaServer Faces (JSF) or similar technologies
Experience supporting high-availability or high-volume transaction systems

How You’ll Work

On-site Monday through Friday
In-person office collaboration considered essential to onboarding and productivity
Role requires use of a computer and audio equipment
Flexibility to work overtime, including weekends and holidays

Benefits

Fuel Your Life program to support physical, financial, social, and emotional well-being
Paid holidays and generous time away policies
No-cost mental health support through Employee Assistance Programs
Living Proof program recognizing peers’ extra effort with points redeemable for rewards
Eight Employee Resource Groups to foster a collaborative culture and expand your network
Training, development, and internal mobility opportunities for professional growth
Medical, dental, vision, life, and disability insurance options available from day one
Retirement planning including 401k match and discounted shares with the Employee Stock Purchase Plan
Tuition assistance and reimbursement program
Paid parental and military leave

Eligibility and Compliance

Valid and unrestricted U.S. work authorization required
Temporary visas including F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or candidates requiring sponsorship now or in the future, will not be considered
Not eligible to be performed in: Colorado, California, District of Columbia, Hawaii, Illinois, Massachusetts, Maryland, Minnesota, New Jersey, New York, Nevada, Rhode Island, Vermont, Virginia, Maine, or Washington

Workplace Safety Notice (Fraud Awareness)

Fraudulent job postings may target personally identifiable information and/or attempt financial theft
Communications from Fiserv representatives will come from a legitimate Fiserv email address

Note to Agencies

Fiserv does not accept resume submissions from agencies outside of existing agreements
Please do not send resumes to Fiserv associates
Fiserv is not responsible for fees related to unsolicited resume submissions

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Today

Sr. Staff AI Security Engineer

Bill.com Draper, UT 🇺🇸 Remote

Draper, UT

Today

$165k - $207k/yr Full time Ai Enabled Security Ai Security Data Security

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Job Description

Bill.com is seeking a Sr. Staff AI Security Engineer to lead the secure deployment and ongoing operation of AI and ML systems. This role emphasizes protecting LLMs and orchestration layers through secure gateway design, structured red-teaming, and a risk roadmap grounded in the OWASP LLM Top 10.

Location

Draper, UT (remote)

Compensation

USD 165,200 - 206,600 per year (Draper, UT)
USD 194,300 - 243,000 per year (San Jose pay range)

Role Summary

This position focuses on securing LLMs and the orchestration layer around them. The work includes implementing secure gateways, leading adversarial testing, and driving an OWASP LLM Top 10–based security roadmap.

Responsibilities

Design, build, and operate secure AI gateways and policy orchestration layers across multiple AI models and service providers
Configure end point settings for AI tools in collaboration with IT end point management solutions
Stand up and lead a formal AI red-teaming practice addressing prompt injection, jailbreaking, model extraction, and emerging attack vectors
Identify and mitigate AI-specific threats, including input manipulation, supply chain risks (model weights, datasets, third-party AI libraries), data privacy (training data leakage and PII disclosure), and model integrity (poisoning and unauthorized fine-tuning)
Automate security checks and guardrails to support faster development cycles without weakening the security posture
Apply and operationalize the OWASP LLM Top 10 framework to categorize and mitigate risk
Own the AI security roadmap and advise senior leadership on AI risks and safe adoption
Partner with platform teams to strengthen a collaborative security culture
Mentor fellow engineers on AI security best practices
Document and report vulnerabilities with clear remediation guidance and technical direction

Required Qualifications

A proven track record building and scaling security systems in high-growth environments
High proficiency in Python or Go to build, automate, and scale security tooling
Deep understanding of LLM-specific attack vectors, including prompt injection and jailbreaking
Deep understanding and applied experience with the OWASP LLM Top 10 framework
Experience designing secure API gateways, orchestration layers, and scalable security infrastructure using infrastructure as code
Experience standing up red-teaming or adversarial testing programs
Strong grasp of AI/ML fundamentals, including model supply chain and data privacy risks
Builder mentality and interest in enabling development through secure architecture rather than blocking it
Ability to influence senior leadership and mentor engineers across the organization
Background in Computer Science, Cybersecurity, or a related technical field

Technologies

Python
Go
OWASP LLM Top 10
Infrastructure as code
AI/ML
LLMs

Benefits

100% paid employee health, dental, and vision plans (HMO, PPO, or HDHP)
HSA & FSA accounts
Life Insurance, Long & Short-term disability coverage
Employee Assistance Program (EAP)
11+ Observed holidays and wellness days and flexible time off
Employee Stock Purchase Program with employee discounts
Wellness & Fitness initiatives
Employee recognition and referral programs
Medical, dental, vision, life and disability insurance
401(k) retirement plan
Flexible spending & health savings account
Paid holidays
Paid time off
Other company benefits

Visa Sponsorship

Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

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1d ago

Software Data Engineer

The Walt Disney Company (Corporate) Burbank, CA 🇺🇸 Remote

Burbank, CA

1d ago

$107k - $143k/yr Full time Artificial Intelligence Big Data Data

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Job Description

The Walt Disney Company’s Enterprise Media and Marketing organization is building data capabilities that power data-driven paid media. In the Performance Marketing arm, this role focuses on designing and operating end-to-end data pipelines, developing tools that support the team, and adding safeguards so campaign optimizations and metrics stay accurate.

This is a Software Data Engineer role based in Burbank, CA (remote), supporting production-grade data engineering for media and marketing teams.

What you’ll do

Help develop the tool suite used by the Performance Marketing group
Lead data engineering, data modeling, and architectural standards, with a focus on rigor across pipeline development, observability, and documentation
Build and maintain end-to-end data pipelines, from source systems through to downstream teams, applications, and users
Work with media and marketing experts to move from prototypes to high-quality production pipelines and applications
Add quality controls, monitoring, and other safeguards to ensure optimizations are applied safely and that key business metrics are presented accurately

Required qualifications

Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field (or equivalent work experience)
3+ years of experience designing and delivering backend architectures in a production environment, including strong understanding of design patterns and best practices
Strong opinions on how to use AI/LLMs in the software development process, including the ability to assess hype versus practical value and apply it effectively
Experience with Spark and SQL, plus the ability to build simple, maintainable data pipelines on scaled data platforms
Ability to dive deeply into technical components as needed
Experience working in fast-paced environments with cross-functional teams to translate business needs into reality-based requirements

Technologies you may work with

Spark, SQL, AI/LLMs, Python
Databricks, Snowflake
AWS, Terraform
DMPs
Google Ads, Facebook/Instagram, Innovid, LiveRamp
DSPs, including Google Display Video, The Trade Desk, Yahoo

Preferred qualifications

Experience working effectively with data science teams
Specific experience with Spark, Python, Databricks/Snowflake, AWS, Terraform
Knowledge of media buying and ad platforms, including DMPs, Google Ads, Facebook/Instagram, Innovid, LiveRamp, and DSPs (Google Display Video, The Trade Desk, Yahoo)

Compensation and benefits

The hiring range for this remote position in Burbank, CA is $106,900.00 - $143,300.00 per year. Base pay actually offered will consider internal equity and may vary based on geographic region, job-related knowledge, skills, and experience, among other factors.

A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits

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1d ago

Product Technical Support Engineer

Johnson Controls New Freedom, PA 🇺🇸 Remote

New Freedom, PA

1d ago

$90k - $130k/yr Full time Customer Support Field Technical Support Specialist

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Job Description

Johnson Controls is hiring a Product Technical Support Engineer to provide day-to-day technical support for Field Sales and Service and Data Center Accounts across its chiller product offerings. This remote role supports US-based candidates and centers on troubleshooting, improving product reliability, and enabling continuous improvement through testing and collaboration with quality and engineering teams.

Working with key Data Center Accounts and the Field Sales & Service organization, you will help drive lifecycle cost improvements, validate new and existing equipment through test plans, and use structured problem-solving to identify opportunities and make timely decisions based on available facts.

Key Responsibilities

Provide day-to-day technical support for key Data Center Accounts to the Field Sales & Service organization on a global basis through site visits, phone, fax, or email.
Drive product reliability through the Continuous Improvement Process for both existing products and new products being introduced.
Deliver technical support and collaborate with quality management and engineering to improve overall life cycle cost.
Create test plans to prove out new and/or existing product equipment offerings.
Maintain effectiveness through changes in responsibilities or environment by exploring benefits, trying new approaches, and collaborating with others to make change successful.
Develop novel, measurable solutions for existing and potential customers (internal or external) by experimenting with new ways to solve problems and capture opportunities that lead to unique outcomes.
Place a high priority on the customer perspective when making decisions and taking action, including implementing service practices aligned to customer and organizational needs.
Support organizational strategies and operational discipline by focusing teams on critical priorities and measures progress and accountability against those metrics.
Set, document, and communicate clear work standards to improve performance, including keeping “the fundamentals” widely available and easily accessible.
Identify problems and opportunities by gathering, analyzing, and interpreting quantitative and qualitative information; establish decision criteria, generate and evaluate alternatives, and make timely decisions consistent with facts and constraints.

Required Qualifications

Travel up to 10%.
Bachelor’s degree in Engineering or a related Technical/Scientific field with 2+ years of experience, or 6+ years of technical experience if no degree, including knowledge of HVAC&R products.
Ability to analyze and solve complex product system problems.
Proficiency troubleshooting the refrigeration cycle as applied to air-conditioning duty on Applied Equipment.

Education

Bachelor’s degree in Engineering or a related Technical/Scientific field.

Location and Work Model

New Freedom, PA (remote)
Remote for US-based candidates

Compensation

$90,000 - $130,000 per year (salary determined by education, experience, knowledge, skills, abilities, internal equity, and alignment with market data).

Benefits

Competitive benefits package

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1d ago

DATA ENGINEER

Healthfuse United States

United States

1d ago

Full time Alteryx Azure Azure Data Factory

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Job Description

The Data Engineer at Healthfuse designs, builds, and maintains the data platform infrastructure that supports internal operations and client-facing workflows. This role emphasizes Microsoft Fabric-based pipelines, Azure Service Bus integrations, and SQL-driven data development with validation across end-to-end stages.

Responsibilities

Design, build, and maintain data pipelines and lakehouses within Microsoft Fabric
Architect and implement Azure Service Bus integrations to enable bidirectional communication between the web platform and Fabric, including event triggers for spec table changes, file error and warning notifications, report refresh completions, and portal-facing report data relay
Develop and maintain event-driven processing workflows to reduce manual, BIA-driven file handling
Collaborate with platform and product stakeholders to ensure Fabric outputs are correctly surfaced in the web portal
Design and develop ETL workflows and datasets using Alteryx or an equivalent data transformation tool
Write complex MSSQL queries across multiple tables using advanced joins, CTEs, and window functions
Prepare technical specifications and documentation for ETL workflows supporting data and reporting pipelines
Perform end-to-end data validation to maintain integrity across all pipeline stages
Support the identification and development of hospital clients’ baseline revenue cycle vendor performance datasets
Contribute to the customization and development of Healthfuse client reporting packages
Assist in research and analysis of quantitative and qualitative performance data for healthcare revenue cycle vendors

Requirements

3–5 years of professional Data Engineering experience
Hands-on experience with Microsoft Fabric (lakehouses, pipelines, notebooks)
Experience with Azure Service Bus or equivalent event-driven messaging services
Strong proficiency in MSSQL and complex SQL development
Experience with Python for data engineering and pipeline automation
Experience with Alteryx or an alternative ETL/data transformation tool (e.g., dbt, SSIS, Azure Data Factory)

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.

Technologies

Microsoft Fabric
Azure Service Bus
MSSQL, SQL
Python
Alteryx, dbt, SSIS
Azure Data Factory

Desired Qualifications

Experience designing event-driven and microservices-based data architectures
Experience integrating AI and machine learning capabilities into data platforms and pipelines, including Azure AI Services, OpenAI APIs, and embedded ML solutions within Microsoft Fabric
Familiarity with natural language querying and AI-assisted analytics tools for accessing insights without relying on technical resources
Experience building or supporting LLM-powered workflows, AI-enhanced data products, or intelligent automation solutions within a data engineering environment
Experience with GitHub and/or Azure DevOps (ADO) for version control and collaborative development
Healthcare and Revenue Cycle Management industry experience preferred
Strong project management skills, including the ability to define, manage, and continuously improve processes independently
Strong written communication skills, including documenting technical specifications, architecture decisions, and development standards
Self-motivated, highly organized, detail-oriented, and collaborative
Excellent verbal and written communication skills
Ability to work independently and effectively in a fast-paced, high-growth environment

Location and Experience

Location: United States (onsite)
Minimum experience: 3 years

Benefits

Competitive salary
Bonus opportunity
Comprehensive health benefits
401k with company match
Generous time off

How to Apply

Fill in your personal information and cover letter
Upload your resume
Fill in and upload an application

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1d ago

Data Engineer

Hollstadt Consulting Minneapolis, MN 🇺🇸 Remote

Minneapolis, MN

1d ago

$52 - $52/hr Contract Cloud Security Data Data Engineer

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Job Description

Hollstadt Consulting is staffing a remote Data Engineer contract to embed with the Enterprise Interfaces team and finish operationalizing the Globus Managed File Transfer platform in the GCP Cloud Data DMZ. The engagement runs for 6 to 12 months, with extension possible, and focuses on configuration, onboarding, operations, documentation, and alignment with security and compliance expectations.

This role supports a Globus platform that is installed in a GCP Data DMZ and nearing completion of initial implementation. Enterprise Interfaces will serve as the operational home for Globus alongside existing MFT solutions (Signiant and Cleo), with you acting as the primary technical resource for building long-term institutional knowledge.

What you will do

Complete final configuration and hardening of the Globus Connect Server (GCS) v5 deployment on GCP Compute Engine VMs within the Data DMZ
Configure and validate Globus Storage Gateways and Globus Storage Connectors (ingress and egress) for GCP bucket access
Configure Globus collections (Managed and Guest) according to client data access policies and identity provider restrictions
Validate end-to-end transfer workflows spanning ingress, egress, and staging collection transfers across the Service Connector (SC) boundary into the MCC VPC
Set up DNS, authentication flows (OAuth/OpenID Connect via Entra ID), and endpoint registration in Globus.org
Onboard initial research user groups with hands-on support for first transfers
Develop and document standardized onboarding procedures, including Sailpoint provisioning workflows and Globus Web App access
Provide Tier 1/2 operational support for Globus users, including troubleshooting transfer failures, stalled transfers, permission issues, connectivity problems, and performance optimization
Coordinate with Globus vendor support (University of Chicago) for escalated issues using the established Globus support process
Monitor and maintain GCS VM health, GCS services, and GCP bucket lifecycle policies
Manage Globus endpoint configurations including storage gateways, identity provider settings, path restrictions, and access policies
Perform ongoing performance tuning, optimizing GridFTP concurrency, parallelism, data channel settings, and transfer parameters for high-throughput workloads
Monitor transfer activity, usage patterns, and audit logs for operational and compliance reporting
Manage GCS software updates, patches, and version upgrades
Support disaster recovery planning and testing for the Globus platform
Implement and enforce security controls aligned with ISA, BAA, and NIST frameworks
Manage identity provider configurations and RBAC within the Globus platform
Ensure data governance policies are enforced, including collection permissions, path restrictions, and transfer audit logging
Support TPRM and Risk/OIS requirements related to Globus operations
Create comprehensive documentation, including runbooks, SOPs, architecture diagrams, troubleshooting guides, and operational playbooks
Attend the Globus Orientation Session led by Pete Eby from the Architecture team and translate session content into operational procedures
Transfer knowledge to Enterprise Interfaces staff to enable long-term self-sufficiency and document lessons learned from onboarding and support activities
Navigate internal governance, change management, and approval processes for platform changes
Collaborate with the Architecture team, Storage/Infrastructure team, and Research stakeholders
Coordinate with ADO repo owners for configuration and state management
Provide input into long-term MFT operations planning and AI-operations integration

Required experience

3+ years hands-on experience with the Globus platform, including Globus Connect Server v5 deployment, configuration, and administration
Deep understanding of the Globus ecosystem: endpoints, collections (managed and guest), storage gateways, storage connectors (S3, POSIX), and the Globus Web App
GridFTP protocol experience, including concurrency, parallelism, data channel tuning, and performance optimization for large-scale transfers
Experience with Globus Auth: OAuth 2.0 / OpenID Connect integration, federated identity management, and identity provider configuration
Experience with Globus Flows for workflow automation and scheduled/recurring transfer operations
Experience with Globus CLI and the Globus Python SDK for scripting and automation
Familiarity with Globus vendor support engagement processes
Hands-on experience with GCP Compute Engine (VM provisioning, management, and maintenance)
Experience with GCP Cloud Storage (S3-compatible buckets, lifecycle policies, IAM, service accounts)
Understanding of GCP networking: VPCs, firewall rules, DNS, ingress/egress controls, and DMZ architecture
Experience with GCP IAM, service accounts, and RBAC
Strong Linux administration skills for Linux-based GCS operations
Proficiency with shell scripting (Bash), system monitoring, log analysis, and troubleshooting
Experience with package management, service configuration, and security hardening on Linux
Understanding of network protocols: TCP/IP, HTTPS, GridFTP, DNS
Experience configuring firewall rules for high-port-range protocols (TCP 50000–51000)
Familiarity with Zero-Trust security principles and DMZ architecture patterns
Understanding of HIPAA compliance as it applies to data transfer and PHI handling in healthcare environments
Broad understanding of Managed File Transfer principles, including secure transfer protocols, audit logging, compliance, and data governance
Experience supporting large-scale data transfers (terabyte- to petabyte-scale) in research, academic, or healthcare environments
Bachelor’s degree in Computer Science or Engineering from an accredited University or College
OR Associate’s degree in Computer Science or Engineering from an accredited University or College with two (2) years of experience
Self-directed problem solving and strong communication skills for technical and research audiences
Experience enabling others through runbooks and training materials
Customer-oriented approach with comfort troubleshooting with research users
Governance awareness for change management, approvals, and security review requirements
Proactive approach to anticipating operational needs and proposing improvements

Technologies you will work with

Globus, Globus Connect Server (GCS) v5, Globus Storage Gateways, Globus Storage Connectors (S3, POSIX), Globus Web App
GridFTP
OAuth 2.0, OpenID Connect
Globus Flows, Globus CLI, Globus Python SDK
Google Cloud Platform (GCP), GCP Compute Engine, Google Cloud Storage (S3-compatible buckets), S3
GCP IAM, RBAC, VPC, DNS
Entra ID, Sailpoint
Azure DevOps (ADO), Terraform
Linux, Bash, TCP/IP, HTTPS

Location, type, and pay

Location: Minnesota (remote)
Job type: Contract
Duration: 6-12 months (extension possible)
Rate: $52.51/hour W2
Salary range listed: USD 52 - 52 per hourly

Benefits

Comprehensive Benefit Plan (medical, dental, vision, life insurance, short-term disability, long-term disability, paid sick leave, retirement benefits)
401(k) + matching on the first 4% of contributions
Bonus Opportunities (Longevity Award bonus; $1,000 referral bonus for placed referrals)
Professional Development (on-demand training through consultant portal; AI upskilling hub)
Ongoing Support & Networking (Consultant Coach program)
Remarketing Process