Business Intelligence

Business Intelligence Developer Jobs

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Today

Machine Learning Engineer II

7-Eleven Irving, TX

Irving, TX

Today

Full time Ai Ml Artificial Intelligence Azure Data Factory

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Job Description

Machine Learning Engineer II role focused on turning store telemetry and large datasets into scalable, actionable machine learning insights.

Responsibilities

Design, develop, test, and deploy machine learning models and data-driven solutions using store equipment telemetry data to produce actionable insights.
Build and optimize scalable data pipelines in enterprise environments using Python, PySpark, and Azure-based technologies.
Process, analyze, and manipulate large structured and unstructured datasets to support analytics and machine learning initiatives.
Collaborate with data engineers, data scientists, product owners, and business stakeholders to convert business requirements into technical solutions.
Develop, evaluate, and tune machine learning models using appropriate algorithms and statistical techniques.
Apply MLOps best practices for model deployment, monitoring, and lifecycle management.
Create visualizations, dashboards, and presentations to communicate insights and recommendations to both technical and non-technical audiences.
Participate in code reviews, technical design discussions, and continuous improvement efforts.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
5+ years delivering big data and machine learning solutions in enterprise environments.
Strong programming background in Python and PySpark.
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps.
Experience building, training, validating, and deploying machine learning models.
Solid understanding of data structures, algorithms, software engineering principles, and distributed computing concepts.
Experience working with large-scale datasets and cloud-native architectures.
Strong analytical, problem-solving, and communication skills.

Technology Stack

Python, PySpark, Azure
Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS)
Git, Azure DevOps
Power BI, Tableau

Preferred Qualifications

Experience deploying and operationalizing machine learning models in Azure Databricks.
Experience with MLOps frameworks and CI/CD pipelines for machine learning workloads.
Experience with data visualization tools such as Power BI, Tableau, or equivalent platforms.
Experience working with equipment telemetry data or on equipment maintenance projects.
Knowledge of containerization technologies and cloud-native application development.

Machine Learning Expertise

Clustering and segmentation techniques.
Generalized Linear Models (GLM), Linear Regression, and Logistic Regression.
Decision Trees and Random Forests.
Gradient boosting techniques including XGBoost.
K-Nearest Neighbors (KNN).
Support Vector Machines (SVM).
Artificial Neural Networks (ANN) and deep learning concepts.
Model evaluation, feature engineering, hyperparameter tuning, and performance optimization.

Success Factors

Ability to work effectively in a fast-paced, collaborative environment.
Strong ownership mindset with a commitment to high-quality delivery.
Ability to communicate complex technical concepts to diverse stakeholder groups.
Passion for continuous learning and innovation in machine learning and cloud technologies.

Location: Irving, TX (onsite)

Experience: 5 years minimum

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1d ago

Data Engineer

ComputerPeople Staffing Buffalo, NY

Buffalo, NY

1d ago

$100k - $135k/yr Full time Backend Developer Analytics Big Data

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Job Description

ComputerPeople Staffing is hiring a Senior Data Engineer (Direct Hire) for a hybrid role in Buffalo, NY. This is an opportunity to build a centralized enterprise data platform from scratch during a transformation to Oracle Cloud Fusion, taking ownership of Oracle Fusion Data Intelligence (OFDI) and delivering data foundations that support analytics-ready reporting.

You’ll shape end-to-end data architecture, integration patterns, and ETL/ELT pipelines across multiple enterprise systems, with the platform serving as an analytics hub for teams consuming data through Power BI and Oracle Analytics Cloud.

Responsibilities

Act as the primary technical owner of Oracle Fusion Data Intelligence (OFDI), standing up, configuring, and evolving it as the enterprise analytics hub.
Independently design the enterprise data architecture, including data modeling, repository structure, and segmentation strategy across disparate sources such as SAP, on-prem Oracle, SQL Server, and GIS.
Design and build scalable ETL/ELT pipelines to ingest data from multiple systems into a centralized data warehouse.
Develop and maintain integrations using Oracle Integration Cloud (OIC) as enterprise middleware.
Lead the move away from legacy flat file integrations toward API-based, event-driven data flows.
Implement data quality checks, reconciliation, and monitoring to support auditability and regulatory compliance.
Curate trusted, analytics-ready datasets for downstream BI tools, including Power BI and Oracle Analytics Cloud.
Build and maintain semantic data models and data mappings to enable self-service reporting and enterprise analytics initiatives.
Collaborate with application and business teams to define data requirements across operational, financial, regulatory, and customer domains.
Establish data governance frameworks, data lineage documentation, and data quality standards from the ground up.
Document data flows, technical designs, and integration specifications for long-term maintainability.
Partner with enterprise architecture and application teams to align solutions with enterprise standards.
Evaluate and recommend supplemental data tools (for example, Microsoft Fabric) with meaningful input into tooling decisions.
Operate with high autonomy in a self-directed capacity; minimal technical oversight exists above this role, and there is currently no internal mentor for this specific skill set.
Identify gaps in the team’s future capability needs and contribute to hiring decisions as the function grows.

Requirements

Demonstrated experience independently designing and building ETL/ELT pipelines and data architecture for enterprise environments, including relational and cloud-based work, not only executing an existing design.
7+ years of professional experience in data engineering, data integration, or analytics engineering roles.
Strong SQL skills and hands-on experience with relational database platforms such as Oracle, SQL Server, or similar.
Experience pulling from multiple disparate systems (ERP, CRM, CIS, asset management, or similar) into a unified data model.
Scripting proficiency in Python, PowerShell, or similar to support pipeline automation.
Familiarity with cloud-based enterprise platforms and hybrid on-prem/cloud architectures.
Strong instincts for data quality, auditability, and governance.
Knowledge of enterprise integration and data architecture design patterns.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.

Technology

Oracle Fusion Data Intelligence (OFDI), Oracle Cloud Fusion, Oracle Integration Cloud (OIC), Power BI, Oracle Analytics Cloud, Microsoft Fabric, SAP, SQL Server, Oracle, GIS, ETL, ELT, Python, PowerShell, API-based, event-driven data flows, Informatica, Boomi, SSIS, Talend, MuleSoft

Benefits

Annual Bonus Program
Low cost medical and dental premiums
Very generous Paid Time Off
401K match plus an additional Company Funded Retirement Savings Account, even if you do not contribute to 401K
Leadership training program
Management dedicated to career success, with flexibility when life happens
Positive, collaborative work culture
Health insurance
Health savings account
Life insurance
Vision insurance
Flexible schedule
Retirement plan
Dental insurance
Paid time off
401(k) matching

Salary: USD 100,000 - 135,000 per year.
Experience: 7+ years required.
Location: Buffalo, NY 14221 (Required).
Work model: Hybrid.

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1d ago

Data Engineer I

DHL Whiteland, IN

Whiteland, IN

1d ago

Full time Backend Developer Analytics Azure Data Factory

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Job Description

Design and optimize data pipelines to keep information reliable, accessible, and aligned to business goals in an onsite role in Whiteland, IN.

Responsibilities

Improve data accessibility and usability for developers, architects, analysts, and data scientists
Maintain delivery consistency across initiatives by adhering to established data delivery architecture standards
Propose and implement data pipeline designs that optimize data flow for cross-functional teams
Design, build, and deploy data processes that support multiple systems and products
Develop and operate data workflows for modeling, mining, and production, including identifying new data acquisition and integration opportunities
Use multiple languages and tools to integrate systems and enhance data reliability, efficiency, and quality
Architect, build, and launch data models that strengthen analytics capabilities and support business objectives
Collaborate with cross-functional partners to ensure data work aligns with organizational goals and stakeholder needs

Requirements

Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
1+ years of experience in data engineering or a related technical role, required
Hands-on experience developing and managing data pipelines, required
Strong understanding of SQL and experience with database management systems such as MySQL, PostgreSQL, or SQL Server, required
Proficiency in Python, Java, or Scala, required
Familiarity with data warehousing solutions and working with large datasets, required
Knowledge of data modeling, ETL processes, and data warehousing concepts, particularly within Azure environments, required

Preferred Experience

Experience with Azure Data Factory, Azure Databricks, or Azure Synapse Analytics, preferred
Ability to work with Power BI for data visualization, preferred
Understanding of data governance and data quality principles, preferred

Technologies

SQL, MySQL, PostgreSQL, SQL Server
Python, Java, Scala
Data pipelines, data warehousing solutions, data modeling
ETL processes
Azure environments
Azure Data Factory, Azure Databricks, Azure Synapse Analytics
Power BI

Benefits

Competitive wages
Excellent insurance benefits (health, dental, vision, life)
401K plan
Paid vacation and holidays
Opportunities for career growth

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1d ago

Data Engineer

National Alliance on Mental Illness Arlington, VA

Arlington, VA

1d ago

$95k - $105k/yr Full time Backend Developer Analytics Business Analytics

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Job Description

National Alliance on Mental Illness (NAMI) is building a data platform that helps teams across the organization track program impact and make decisions based on reliable information. This role will focus on creating and operating the central data warehouse and ELT pipelines, then turning raw inputs into trusted, well-documented data products for national, state, and local stakeholders.

Based in Arlington, VA with hybrid options, the Data Engineer will help expand self-service access, reduce manual reporting, and strengthen the systems that keep data accurate from source to dashboard.

Role Focus

Build and operate NAMI’s central data warehouse and ELT pipelines from organizational sources such as micro-services, Salesforce, and an LMS.
Reduce manual reporting by enabling on-demand access for state organizations, local affiliates, and colleagues through curated datasets and self-service reporting that replace hand-built affiliate reports.
Own data quality by expanding automated testing, monitoring, and CI/CD as the platform grows, including end-to-end incident ownership from source to dashboard.
Establish the standards and review practices for NAMI’s data work as the team’s first dedicated data engineer.
Contribute to platform execution across ingestion, transformation, orchestration, and reporting.
Develop well-modeled transformations using analytics engineering best practices.
Deliver trusted, well-documented data products following established architectural patterns, and help improve them over time.

Requirements

3 to 5 years in data, analytics, or backend engineering.
Proficiency in SQL and Python.
Experience with version-controlled production ELT/ETL pipelines, including testing and monitoring.
Strong understanding of data modeling (including dimensional modeling and layered architecture).
Experience with a modern cloud data warehouse.
Ability to communicate technical concepts clearly to non-technical colleagues.

Tools and Technologies

SQL, Python, ELT, ETL
CI/CD
Salesforce, dbt, Fivetran, Airbyte, Dagster, Airflow
Power BI, Tableau, Metabase
LMS

Compensation and Work Setup

Salary: USD 95,000 to 105,000 per year.
Location: Arlington, VA (hybrid).
Minimum experience: 3 years.
Travel: 10 to 20%, including overnight.
Availability: must be available during standard business hours, with core hours between 10:00 a.m. and 3:00 p.m. ET.

Benefits

Generous and comprehensive Health, Dental, and Vision Plans.
Paid Time Off: Vacation, Personal, and Sick Leave.
Paid Parental Leave.
403(b) retirement plan.
Flexible Spending Accounts for health care, dependent care, and commuter expenses.
Life Insurance and Disability coverage paid by NAMI.
Flexible Work and Telework programs.
Professional Development Reimbursement program.
Wellness offerings to support team members.
Employee Referral Program.
Employee Assistance Program (EAP) for support with personal and family problems.

Physical Requirements

Prolonged periods of sitting at a desk and working on a computer.

Preferred Skills and Experience

Hands-on experience with a SQL transformation framework such as dbt.
Exposure to managed ingestion or orchestration tooling (for example, Fivetran, Airbyte, Dagster, Airflow).
Experience with a BI tool such as Power BI, Tableau, or Metabase.
Experience helping evaluate, adopt, or migrate to new data tooling.

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1d ago

Data Engineer III, Cloud

Mobis Parts America, LLC. Fountain Valley, CA

Fountain Valley, CA

1d ago

$90k - $134k/yr Full time Analytics Azure Azure Data Factory

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Job Description

Mobis Parts America, LLC. is hiring a Cloud Data Engineer III (onsite in Fountain Valley, CA) to design, implement, and secure Azure-based data platforms that support enterprise reporting, analytics, and business intelligence. This role focuses on building reliable, scalable data pipelines, storage, and processing frameworks, with close collaboration across business analysts, Power BI developers, DBAs, and infrastructure teams.

Why this role

Compensation: $90,466.10 - $134,342.16 annual salary range, based on experience and qualifications
Benefits: Medical, Dental, and Vision; 401K with employer matching; Tuition Reimbursement
Time off: Paid Vacation, Paid Sick Days, and Paid Holidays
Growth support: Mapped career plans
Flexibility: Monday to Friday 8:00 AM - 5:00 PM with possible flexible scheduling at the manager’s discretion and approval
Onsite, no travel: No travel required

What you’ll do

Design, develop, and maintain ETL/ELT pipelines
Build automated batch and near real-time data integration processes
Integrate data from on-premises and cloud systems
Troubleshoot and optimize data workflows for performance and reliability
Design and maintain data warehouse and data lake architectures
Develop logical and physical data models
Optimize database schemas, indexes, and partitioning strategies
Support historical data retention and archival requirements
Manage and support Azure platform components including:
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS), including ADLS Gen2
- Azure SQL Database and Azure PostgreSQL
- Azure ExpressRoute
- Gateway Servers
- Azure Virtual Networks
Configure networking, security groups, and access controls
Handle monitoring, maintenance, backup and recovery, and operational support
Support High Availability (HA) and disaster recovery, including replication and failover configuration
Develop scripts and automation for operational tasks and assist with CI/CD deployment processes
Automate monitoring, alerting, and maintenance activities; monitor platform availability and performance
Resolve production incidents, identify root causes, and maintain SLA and operational standards
Provide technical support to business and development teams

What you bring

4 to 7 years of data engineering experience (Required)
3 to 5 years of Azure cloud experience (Preferred)
Experience with Power BI environments
Experience migrating on-premises systems to Azure
Bachelor’s Degree in Computer Science, Information Systems, or a related field (Required)
Experience with: Azure Data Factory (ADF), Azure Data Lake Storage Gen2, Azure SQL Database, Azure Database for PostgreSQL, Azure ExpressRoute, Azure Virtual Networks
Core skills: SQL, data modeling, ETL/ELT, data warehousing, Star Schema and dimensional modeling
Scripting and query languages: Python, PowerShell, SQL T-SQL, PostgreSQL

Schedule, employment type, and demands

Employment type: Exempt, annual salary
Schedule: Monday - Friday, 8:00 AM - 5:00 PM; flexible schedule at manager discretion/approval
Travel: No travel required
Physical demands: Rarely, Occasionally, Frequently, and Constantly listed (with X marked for standing, walking, sitting, and various movements)

Core competencies

Analytical Thinking
Communication Skills
Functional Knowledge
Problem Solving
Job Impact

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2d ago

Power Platforms Software Engineer

Deloitte San Diego, CA

San Diego, CA

2d ago

$89k - $148k/yr Full time Automation Business Analytics Business Intelligence

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Job Description

Deloitte’s Engineering as a Service team is seeking a Project Software Engineer II to design, configure, develop, test, and deploy Microsoft Power Platform solutions for clients. In this role, you will convert requirements into sprint-based delivery, improve existing implementations, and help support testing, release, maintenance, and sustainment activities.

Working from San Diego, CA (onsite), you will contribute to Deloitte’s Government & Public Services (GPS) practice, supporting federal, state, and local government clients and public higher education institutions through an engineering-led delivery model.

What You’ll Do

Design, configure, develop, test, and deploy Microsoft Power Platform solutions, including Power Apps, Power Automate, Power BI, and SharePoint Online, with a focus on modernizing manual processes and improving operational efficiency.
Translate business requirements into prioritized Agile backlog items and deliver capabilities incrementally across sprint cycles.
Create implementation plans that include timelines, milestones, and level-of-effort estimates, and enhance existing solutions as client needs evolve.
Perform functional, performance, and end-user testing, validating data quality and transfer accuracy, and support release, transition, and handoff to government-designated solution owners.
Develop user guidance and standard operating procedures, troubleshoot production issues, implement bug fixes and minor enhancements, and support ongoing maintenance and sustainment.

Required Qualifications

Bachelor’s degree
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
1+ year(s) of hands-on development experience in Power Apps
Experience developing solutions using Microsoft Power Automate, Power BI, or SharePoint Online
Active Secret security clearance required

Preferred Qualifications

PL-100, PL-900, or PL-600 certification
Experience working in an Agile delivery model
Experience supporting government clients

Team Context

Deloitte’s Government & Public Services (GPS) practice focuses on impact through people, ideas, technology, and outcomes.
Engineering as a Service provides end-to-end design, implementation, and technology operations, grounded in Deloitte’s engineering expertise.
Delivery models can include traditional teams, pools, or pods, aligned to client needs and supporting Advise, Implement, and Operate capabilities.

Additional Skills for Success

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others

Salary: USD 88,600 - 147,600 per year. Experience: 1+ year(s). Education: Bachelor’s degree.

For individuals assigned and/or hired to work in California, Deloitte is required by law to include a reasonable estimate of the current pay range: $88,600 to $147,600. You may also be eligible to participate in a discretionary annual incentive program, subject to applicable rules.

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3d ago

Data Engineer III

Deloitte Rosslyn, VA

Rosslyn, VA

3d ago

$108k - $180k/yr Full time Analytics Artificial Intelligence Big Data

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Job Description

Design and deliver data engineering solutions on Deloitte’s AI and Data team, supporting client analytics, reporting, and operational workflows.

Responsibilities

Design, build, and maintain data pipelines and workflows for analytics, reporting, and operational use cases
Develop, test, and deploy data engineering solutions across cloud and enterprise data environments
Transform, validate, and integrate structured and unstructured data from multiple source systems
Work with cross-functional teams to implement scalable data models, data quality controls, and processing frameworks
Support client delivery by documenting technical solutions, resolving defects, and contributing to continuous improvement of data platforms

Requirements

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
Bachelor’s degree in a related field
3+ years of experience in data engineering or artificial intelligence development
3+ years of experience architecting and deploying data pipelines, artificial intelligence agents, or machine learning models into production environments
1+ year of hands-on experience with PowerBI, Power Apps, or Power Automate
1+ year of experience designing end-to-end artificial intelligence solutions, including data preprocessing, feature engineering, and cloud-based integration
1+ year of experience supporting BI, analytics, or technology programs in a mission-driven environment
Familiarity with machine learning techniques: classification, clustering, regression, and anomaly detection
Active Top Secret level security clearance (preferred: TS/SCI)
Must be able to commute onsite 100% into Arlington/Rosslyn/D.C.
Must be legally authorized to work in the United States without employer sponsorship (now or in the future)

Technologies

PowerBI
Power Apps
Power Automate
Machine learning techniques: classification, clustering, regression, anomaly detection

Preferred

Advanced degree in Computer Science, Information Systems, Engineering, or a related field
Experience with AWS and Azure AI products
Experience with natural language processing, computer vision, or optical character recognition solutions
Experience with Python data engineering and libraries such as NumPy, Pandas, PyTorch, scikit-learn, or TensorFlow
Experience developing automation capabilities for document processing, case summarization, workflow orchestration, or content generation

Compensation and Location

Location: Rosslyn, VA (onsite)
Estimated salary range: USD 107,700 to 179,500 per year

For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the current range. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case.