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1mo ago

Lead Security Engineer II, Cybersecurity Engineer/Architect

Deloitte Las Vegas, NV

Las Vegas, NV

1mo ago Closed

$119k - $198k/yr Full time Architect Client Consulting Information Security

This position is no longer accepting applications (closed Jul 12, 2026).

Job Description

Lead Security Engineer II, Cybersecurity Engineer-Architect at Deloitte, focusing on security architecture for cloud and hybrid environments in government and public sector engagements.

Responsibilities

Serve as primary client-facing SME in support of the client's technical and security objectives.

Requirements

Bachelor's degree required.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Active TS clearance.
Must be able to work onsite 5 days a week.
Cloud security architecture with advanced proficiency in designing and securing cloud environments.
Advanced experience with hybrid data architectures, including securing data across on-premises and cloud ecosystems.
Demonstrated advanced knowledge of cyber security principles, security architecture, and risk management practices.
Experience defining and implementing secure architecture patterns for cloud and hybrid environments.
Experience leading teams, projects, or workstreams in a cyber security or architecture-focused environment.
Location: Las Vegas, NV (onsite).

Team

Deloitte's Government & Public Services GPS practice focuses on delivering impact for federal, state, and local government clients and public higher education institutions, bringing fresh perspective to help clients anticipate disruption and fulfill their mission promise.
Our Cyber Defense & Resilience offering helps clients defend against advanced threats by transforming security operations, monitoring technology, data analytics, and threat intelligence, and provides rapid crisis and cyber incident response to ensure readiness, response, and recovery from disruptions.
The Project Delivery Talent Model places professionals with specialized skills on client projects, focusing on service delivery without expectations for business development or promotion, with project-based employment and a competitive benefits package for project-delivery professionals.

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1mo ago

Senior Data Engineer (Azure & Databricks)

Emergent Staffing Bloomington, MN

Bloomington, MN

1mo ago Closed

$60 - $85/hr Contract Senior Analytics Azure Data Factory

This position is no longer accepting applications (closed Jul 11, 2026).

Job Description

Senior Data Engineer role focused on Azure Databricks, Delta Lake, and SQL to design and scale a medallion-based data platform using PySpark and Databricks tooling in Bloomington, MN on a hybrid in-office schedule (Tue/Thu) for a 6+ month contract; US work authorization is required.

Responsibilities

Design, develop, and optimize data pipelines in Azure Databricks using PySpark and SQL, applying Delta Lake and Unity Catalog best practices.
Build modular, reusable libraries and utilities within Databricks to accelerate development and standardize workflows.
Implement Medallion architecture (Bronze, Silver, Gold layers) for scalable, governed data zones.
Integrate external data sources via REST APIs, SFTP file delivery, and SQL Server Managed Instance, implementing validation, logging, and schema enforcement.
Utilize parameter-driven jobs and manage compute using Spark clusters and Databricks serverless.
Collaborate with data analytics teams and business stakeholders to understand requirements and deliver analytics-ready datasets.
Monitor and troubleshoot Azure Data Factory pipelines (jobs, triggers, activities, data flows) to identify and resolve job failures and data issues.
Automate deployments and manage code using Azure DevOps for CI/CD, version control, and environment management.
Contribute to documentation and architecture and drive continuous improvement of data engineering practices.
Support the data platform for AI and machine learning initiatives and ensure readiness for advanced analytics.

Requirements

Strong expertise with Azure Databricks, including PySpark, Delta Lake, Unity Catalog, and the ability to build reusable libraries, utility notebooks, and parameterized jobs.
Advanced SQL skills with experience in Azure SQL Database and/or SQL Server Managed Instance.
Experience designing, troubleshooting, and supporting data pipelines using Azure Data Factory.
Proven ability to integrate external data sources, including REST APIs and SFTP.
Working knowledge of Azure DevOps for CI/CD, version control, and parameterized deployments.
Strong collaboration and communication skills, demonstrated by partnering with data analytics teams and business stakeholders.
Interest or experience in preparing data platforms to support AI and machine learning initiatives.

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1mo ago

Data Engineer

HRT of TN LLC Nashville, TN

Nashville, TN

1mo ago Closed

Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Jul 11, 2026).

Job Description

HRT of TN LLC is seeking a Data Engineer to design, build, and scale data infrastructure and analytics capabilities in Nashville. This role serves as a data steward and subject matter expert, partnering with teams across the organization to uphold governance and data quality while reporting to the Manager of BI Engineering within Tech Services.

Responsibilities

Design, develop, and maintain scalable reporting solutions that support analytics needs across all business units.
Assemble and integrate complex datasets to satisfy both functional and non-functional requirements.
Maintain and optimize existing reports, dashboards, and data pipelines to ensure accuracy and performance.
Serve as a companywide subject matter expert for enterprise analytics.
Uphold data governance standards across systems and processes.
Monitor and support change management controls in alignment with internal audit and compliance requirements.
Respond to and resolve end-user system tickets, including break/fix support and root cause analysis.
Recommend and implement improvements to data workflows, processes, and infrastructure to enhance reliability, efficiency, and data quality.
Identify and implement internal process improvements to streamline operations.
Collaborate closely with cross-functional teams and foster strong working relationships.
Communicate complex technical concepts and data findings to stakeholders in a clear manner.
Educate team members and end users as needed on analytics systems and processes.

Requirements

Bachelor’s degree in computer science, analytics, or a related quantitative field; equivalent professional experience (5+ years) will be considered in lieu of a degree.
Proven experience in a Data Engineer or equivalent technical role.
Advanced proficiency in SQL.
5+ years of hands-on experience with BI visualization platforms such as Power BI.
Working knowledge of data governance principles, access control frameworks, and change management methodologies.
Proficiency in Microsoft Office productivity tools and Power Platform.
Experience using Microsoft Fabric with focus in Lakehouse development.

Technologies

SQL
Power BI
Power Platform
Microsoft Fabric
Lakehouse development
Microsoft Office
Python

Benefits

Work in a stable, growing industry with national reach and local impact
Competitive compensation and performance-based bonuses
Comprehensive benefits including medical, dental, vision, disability and 401(k) with match
Generous PTO and holiday schedule
Collaborative, team-oriented culture with opportunities for growth

Position Summary

In this role, you will be responsible for designing, building, and maintaining scalable data infrastructure that enables data-driven decision-making across all business functions. You will act as a subject matter expert and data steward, collaborating cross-functionally to deliver high-quality analytics solutions while upholding governance standards and industry best practices. This position reports to the Manager, BI Engineering within the Tech Services organization.

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1mo ago

Data Engineer - GCP/Spark/Scala

Infosys Bentonville, NC

Bentonville, NC

1mo ago Closed

Full time Big Data Bigdata Data Engineer

This position is no longer accepting applications (closed Jul 11, 2026).

Job Description

This onsite Data Engineer position in Bentonville, NC, with Infosys focuses on designing, developing, testing, and maintaining software solutions across the full lifecycle, including requirements elicitation, design discussions, coding, testing, documentation, and production support.

Responsibilities

Contribute to requirements elicitation by documenting assigned parts of business requirements, in line with guidance provided
Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
Conduct code reviews, make changes to the codebase, and maintain code repositories
Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects

Requirements

A collaborative spirit and excellent communication skills
The ability to handle end to end SDLC phases from requirement gathering to implementation
A knack for translating complex requirements into actionable development tasks
A passion for design and hands-on coding experience
A proactive approach to testing, troubleshooting, and refining our applications
The ability to work with cross-functional teams and do software integration

Technologies

GCP
Spark
Scala

Area of Responsibility: Technology Consultant 2

Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
Conduct code reviews, make changes to the codebase and maintain code repositories
Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects

Your Contribution to the Team

A collaborative spirit and excellent communication skills
The ability to handle end to end SDLC phases from requirement gathering to implementation
A knack for translating complex requirements into actionable development tasks
A passion for design and hands-on coding experience
A proactive approach to testing, troubleshooting, and refining our applications
The ability to work with cross-functional teams and do software integration

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1mo ago

Sr. AI & Data Engineer–Trading Analytics

Shell Houston, TX

Houston, TX

1mo ago Closed

$149k - $223k/yr Full time Senior Ai Ml Analytics

This position is no longer accepting applications (closed Jul 11, 2026).

Job Description

Shell seeks a Senior AI & Data Engineer, Trading Analytics, in Houston, TX (hybrid) to design and deliver AI driven front office analytics and GenAI/agent based solutions for trading.

Responsibilities

Design, implement, and deploy AI driven analytics for traders and analysts, including seasonality analyses, correlation studies, regression models, forecasting, and scenario modeling over market pricing and fundamentals data
Collaborate with traders and analysts to convert vague business questions into well defined analytical problems and practical solutions
Present analytical outputs and AI generated insights to commercial stakeholders in a concise, actionable format
Build and maintain scalable, reusable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog
Support ingestion, modelling, and transformation of large scale time series pricing and fundamentals datasets
Optimize pipelines for performance, reliability, and cost efficiency in line with platform and data governance standards
Develop GenAI and agent based solutions to support trading analytics, including:
- Retrieval Augmented Generation (RAG)
- Prompt engineering
- Agent orchestration using frameworks such as LangGraph
- Tool calling and guardrails
- Integrate LLM based workflows with structured trading and market data to augment analysis, insight generation, and decision support
Prototype solutions quickly, gather user feedback, and harden selected use cases for production deployment
Contribute to production ready analytics and AI solutions with testing, documentation, versioning, and basic observability
Adhere to CI/CD and DevOps practices, including Git based workflows and automated testing
Support governance requirements such as PII handling, data lineage, and auditability in line with Trading & Supply standards

Requirements

Must have legal authorization to work in the US on a full-time basis for anyone other than the current employer
Bachelor’s degree or equivalent relevant years of experience
At least 10 years of relevant experience
Hands on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable)
Proven data engineering skills, including pipeline development, data modelling, and performance optimization
Strong foundation in statistics, econometrics, or data science, with experience applying these techniques to time series or market style datasets
Practical experience building or contributing to LLM based solutions, including prompt engineering and retrieval based approaches
Familiarity with GenAI frameworks and tooling (e.g., LangGraph or similar orchestration patterns)
Experience working in collaborative engineering teams using Git and CI/CD pipelines
Strong communication skills and the ability to work directly with analysts, traders, and other business stakeholders

Technologies

Databricks
PySpark
Spark
SQL
Delta Lake
Unity Catalog
LangGraph

Benefits

Medical coverage
Dental coverage
Vision coverage
Life Insurance
Business Travel Accident Insurance
Occupational Accidental Death Benefit
Company pension plan
401(k) plan
Paid vacation time (up to 6 weeks)
Paid holidays (up to 11)
Parental leave (16 weeks birthing; 8 weeks non-birthing)
Short-term disability leave (up to 26 weeks at 100% or 50%)
Long-Term Disability insurance
Financial reimbursement for adoption, wellness, education, and personal learning expenses
Discretionary long-term incentives

Additional Preferred Qualifications

Exposure to commodity or financial trading environments
Understanding of market fundamentals, supply-demand dynamics, or risk concepts
Experience with MLflow, feature stores, or vector databases
Familiarity with working in regulated or risk-sensitive environments

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1mo ago

Sr. AI & Data Engineer–Trading Analytics

Shell Energy Houston, TX

Houston, TX

1mo ago Closed

$149k - $223k/yr Full time Ai Ml Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jul 11, 2026).

Job Description

Shell Energy offers a hybrid, Houston-based role with a compelling compensation package and a culture built on practical, data-driven impact. You will work on AI driven analytics that empower front office traders, leveraging Databricks data engineering and GenAI workflows. Expect a collaborative environment that prioritizes governance, measurable outcomes, and ongoing learning, with flexible hours and the option for remote or mobile work.

This Senior AI and Data Engineer role focuses on designing and productionizing analytics for trading teams. You will translate complex business questions into clear analytical problems, deliver scalable data infrastructure, and advance GenAI and agent-based solutions that support decision making in real time.

Responsibilities

Design, build, and deliver AI driven analytics for traders and analysts, including seasonality analysis, correlation studies, regression models, forecasting, and scenario modeling over market pricing and fundamentals data
Collaborate with traders and analysts to transform ambiguous business questions into well-defined analytical problems and solutions
Communicate analytical outputs and AI generated insights to commercial stakeholders in a concise, actionable way
Develop and maintain scalable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog
Ingest, model, and transform large scale time series pricing and fundamentals datasets
Optimize pipelines for performance, reliability, and cost, ensuring adherence to platform governance standards
Build and enhance GenAI and agent based solutions to support trading analytics, including Retrieval Augmented Generation, prompt engineering, and agent orchestration with LangGraph
Implement tool calling and guardrails, integrating LLM workflows with structured market data for enhanced analysis
Prototype quickly, collect user feedback, and harden selected use cases for production deployment
Contribute to production ready analytics with testing, documentation, versioning, and basic observability
Follow CI/CD and DevOps practices, including Git based workflows and automated testing
Support governance requirements such as PII handling, data lineage, and auditability in line with Trading & Supply standards

Requirements

Must have legal authorization to work in the US on a full-time basis for anyone other than the current employer
Bachelor’s degree or equivalent relevant experience
At least 10 years of relevant experience
Hands on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable)
Proven data engineering skills, including pipeline development, data modeling, and performance optimization
Strong foundation in statistics, econometrics, or data science, with experience applying these techniques to time series or market style datasets
Experience building or contributing to LLM based solutions, including prompt engineering and retrieval based approaches
Familiarity with GenAI frameworks and tooling (for example LangGraph or similar orchestration patterns)
Experience working in collaborative engineering teams using Git and CI/CD pipelines
Strong communication skills and the ability to work directly with analysts, traders, and other business stakeholders
Exposure to commodity or financial trading environments
Understanding of market fundamentals, supply demand dynamics, or risk concepts
Experience with MLflow, feature stores, or vector databases
Familiarity with working in regulated or risk sensitive environments

Technologies

Databricks, PySpark, Spark
SQL, Delta Lake, Unity Catalog
LangGraph, Git, CI/CD
MLflow

What we offer

Base salary range of $149,000 to $223,000 per year
Health insurance options including medical, dental, and vision
Life Insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs
Pension plan and 401(k) plan
Paid leave: up to 6 weeks vacation and up to 11 holidays
Parental leave: 16 weeks for birthing parents, 8 weeks for non birthing parents
Short term disability up to 26 weeks at 100% or 50% of base pay; Long term disability
Adoption, wellness, education, and personal learning expense reimbursements
Discretionary long term incentives
Intern benefits include medical, dental, vision, life insurance, Business Travel Accident Insurance, Occupational Accidental Death Benefit programs, 401(k), and paid holidays
Flexible working hours and the possibility of remote or mobile working

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1mo ago

Lead Data Engineer, Analytics & Insights

Agtonomy South San Francisco, CA

South San Francisco, CA

1mo ago Closed

$160k - $210k/yr Full time Analytics Bigquery Business Intelligence

This position is no longer accepting applications (closed Jul 11, 2026).

Job Description

Agtonomy invites you to join a mission-driven engineering team in South San Francisco as a Lead Data Engineer, Analytics & Insights. You will own the analytics data layer, metrics, and dashboards that turn machine telemetry into trustworthy insights for customers, partners, and internal stakeholders, while upholding rigorous data accuracy. This is a collaborative role that values clear data, practical impact, and a culture of learning. The position is onsite in South San Francisco, CA with a competitive salary in the range of USD 160,000 to 210,000 per year.

Benefits

100% covered medical, dental, and vision for the employee, with additional options for partners, children, or family coverage
Commuter benefits
Flexible Spending Account (FSA)
Life insurance
Short- and long-term disability
401(k) plan
Stock options
Collaborative, mission-driven environment with a passionate team

Responsibilities

Own the analytics data layer by designing and operating a ClickHouse-backed warehouse that powers operational, business, and autonomy reliability metrics, in partnership with the Platform team responsible for ingestion
Define the metrics that matter by collaborating with operations, product, engineering, and finance to convert ambiguous questions into trustworthy measurements such as autonomy uptime, intervention rates and classifications, release-to-release reliability, mission success, fleet utilization, and customer ROI
Deliver customer facing data experiences by building React dashboards inside web and mobile analytics portals, working with the Applications & Connected Services team
Enable internal decision making by creating Grafana boards, bespoke React dashboards, and self-serve tooling that empower teams to answer questions and detect issues before customers are affected
Ensure data accuracy through established quality, validation, lineage, and documentation so every metric is defensible and traceable to its source
Share ownership of data contracts with the Platform and Cloud software teams

Requirements

7+ years building production data systems with meaningful time spent on data modeling and analytics delivery
Shipping experience in React, with hands-on work on analytics UIs or dashboards in a production web application and ownership of the surface, not just the data layer
Deep SQL fluency and strong perspective on modeling time-series and event data; ClickHouse experience is a strong plus, with transferable experience in BigQuery, Snowflake, Druid, or Pinot
Comfort collaborating with a platform team that owns ingestion and ensuring access to high quality, actionable data
Strong Python skills and at least conversational proficiency in a system language such as Go, Rust, TypeScript, or C++
Familiarity with semantic layers and related tooling (dbt, Cube, MetricFlow, etc)
A proven track record of turning raw telemetry into metrics that non-technical stakeholders actually use and trust
High standards for data quality and accountability for customer-facing numbers, including building systems to prevent reoccurrence of errors

Technologies

ClickHouse, React, Grafana, BigQuery, Snowflake, Druid, Pinot
dbt, Cube, MetricFlow
Python, Go, Rust, TypeScript, C++
React Native

Bonus Points

Experience in robotics, IoT, fleet management, automotive, or domains with telemetry from diverse devices at scale
Experience building embedded analytics within a product, delivering customer-facing dashboards beyond internal BI tools
Experience shipping data experiences in React Native or other mobile frameworks
Exposure to ML backed analytics such as forecasting, anomaly detection, fleet health scoring, or release regression detection