Business Intelligence

Business Intelligence Engineer Jobs

299 jobs found

Today

Data Engineer with Python and React

Glint Tech Solutions LLC Jersey City, NJ 🇺🇸 Remote

Jersey City, NJ

Today

Full time Backend Developer Python Analytics

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Job Description

Glint Tech Solutions LLC is hiring a Data Engineer to develop and support scalable, data-driven applications and platforms for the healthcare domain. This role combines Python for backend data engineering with React for frontend web experiences, along with responsibility for ETL/ELT pipelines, integrations, and production reliability in HIPAA-aligned environments.

Key Responsibilities

Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend).
Design and develop scalable data pipelines, APIs, and frontend dashboards aligned to healthcare workflows.
Create ETL/ELT pipelines to process clinical, operational, and healthcare datasets.
Work with healthcare data systems, including EHR integrations and healthcare interoperability platforms.
Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams.
Integrate with healthcare data standards and systems, including HL7 and FHIR, and Epic and Cerner environments where applicable.
Design and optimize data models, warehouses, and data processing workflows.
Translate healthcare operational and reporting requirements into scalable data solutions.
Ensure applications and data platforms meet security, privacy, and compliance requirements in HIPAA-aligned environments.
Monitor, debug, optimize, and maintain production data systems and applications.
Collaborate with cross-functional stakeholders, including data analysts, clinicians, operations teams, and software engineers.

Required Qualifications

Strong hands-on experience with Python for data engineering and backend development.
Experience with data processing frameworks and libraries such as Pandas, PySpark, Airflow, and SQLAlchemy.
Basic to strong experience with React.js frontend development.
Experience building scalable ETL/ELT pipelines and production-grade data applications.
Strong understanding of REST APIs and system integrations.
Experience working with relational and/or NoSQL databases.
Experience with data warehousing, data modeling, and large-scale data processing.
Familiarity with cloud platforms and data services: AWS, Azure, or GCP preferred.
Ability to work in ambiguous, real-world problem spaces.
Strong communication skills with technical and non-technical stakeholders.
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

Technologies

Python, React, React.js
Pandas, PySpark, Airflow, SQLAlchemy
REST APIs, ETL, ELT
AWS, Azure, GCP
HL7, FHIR, Epic, Cerner

Preferred Experience

Prior experience in healthcare technology or healthcare systems.
Familiarity with HL7, FHIR, or EHR systems such as Epic or Cerner.
Experience with healthcare workflows across clinical, operational, or administrative systems.
Exposure to regulated environments including HIPAA and security-sensitive systems.
Experience with big data technologies and distributed processing systems.
Experience building analytics dashboards or data visualization platforms.
Experience with enterprise-scale data platforms and pipelines.

Location

Jersey City, NJ (remote).

Education

Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

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Today

Data & Analytics Engineer, Health & Fitness, Sensing & Connectivity

Apple Cupertino, CA

Cupertino, CA

Today

$150k - $225k/yr Full time Python Analytics Big Data

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Job Description

Apple is building next-generation Health and Fitness experiences, turning consumer sensor time-series into actionable research insights. In this role, you will design and deliver scalable data infrastructure and analytics that help validate feature performance, improve data quality, and support cross-functional product development.

This position is onsite in Cupertino, CA and includes a salary range of USD 150,400 - 225,300 per year.

What You’ll Do

Design and develop scalable, parallelized data pipelines to process and transform complex time-series health data from consumer-grade sensors.
Build tools and dashboards for visualization, data exploration, analysis, and research insight generation.
Partner with study stakeholders to gather requirements and contribute to study design, tooling development, and data quality monitoring processes.
Design and run analytics to validate algorithm simulation outputs against ground truth, including building automated QA metrics to track feature performance over time.
Collaborate with cross-functional teams, including Software, Algorithms, and EPM, to support health software design, integration, testing, and deployment.

Minimum Qualifications

BS degree in Computer Science, Engineering, Data Science, or a related technical field.
Minimum 3 years of industry experience building and maintaining large-scale data processing or simulation pipelines, or performing large-scale data analysis.
Strong Python skills, focused on clean, maintainable, high-performance code.
Working familiarity with SQL for querying, transforming, and analyzing structured data.
Hands-on experience with distributed computing frameworks such as Apache Spark.
Comfort leveraging AI tools to accelerate problem-solving and development.

Relevant Skills and Tools

Python, SQL, Apache Spark
AWS, GCP, Azure
Docker, Kubernetes
Linux
iOS, C++

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition for formal education related to advancing your career
Discretionary bonuses or commission payments, as well as relocation (discretionary; eligibility may apply)
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Eligible for discretionary restricted stock unit awards
Can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan

Preferred Qualifications

Applied machine learning experience, including building models on large datasets
Experience working with sensor data, time-series data, or healthcare datasets
Experience in cloud environments (AWS, GCP, or Azure) with containerization tools such as Docker and Kubernetes
Comfort working in Linux environments, including scripting, navigation, and basic troubleshooting
Exposure to clinical studies, FDA validation processes, or regulated health environments
Experience building iOS apps; familiarity with C++ is a plus
Self-directed work style, including experience producing architecture and design documents
Strong communication and cross-functional collaboration skills, including translating requirements from technical and non-technical partners into practical engineering tasks

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Today

Staff Data Engineer I

Bain & Co. Chicago, IL

Chicago, IL

Today

$141k - $169k/yr Full time Analytics Apache Airflow Business Intelligence

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Job Description

Bain’s NGSS team is building Aura, a global workforce data and analytics platform that supports analytics, machine learning, and product experiences. This Staff Data Engineer role is embedded in Aura and focuses on the data infrastructure that makes the platform reliable, scalable, and production-ready, with ownership across architecture, performance, and operational support.

What you’ll do

Own Aura’s data platform, including architecture, reliability, and scalability.
Design, build, and maintain data pipelines from raw ingestion through downstream analytics layers, including dashboards and ML features.
Lead greenfield infrastructure initiatives from scratch and take delivery through production.
Optimize performance and cost across data workflows, such as query tuning and storage optimization.
Drive engineering best practices for data systems, including testing, documentation, and observability.
Support production operations and contribute to continuous improvement of production data systems.
Implement data quality and monitoring by establishing pipeline alerting and data quality monitors in DBT across the data stack.
Triage and resolve data requests from business and technical stakeholders, including discrepancies, pipeline issues, and ad-hoc requests.
Partner across teams with Engineering, Product, Data Science, and AI to deliver scalable data solutions.
Mentor engineers through code reviews and technical guidance.

Required qualifications

5-8+ years of experience designing scalable data architecture.
Associate’s/Bachelor’s degree or an equivalent combination of education, training, and experience.
Strong knowledge of software engineering best practices, including testing, CI/CD, and code reviews.
Proven ability to lead technical initiatives and collaborate across cross-functional teams.
Advanced SQL and deep experience with modern data warehouses, especially Snowflake.
Experience with orchestration tools such as Airflow.
Experience with DBT for data modeling, transformation, and data quality monitoring.
Strong Python programming skills.
Cloud experience, particularly AWS (including S3, Lambda, ECS, RDS, MWAA).
Familiarity with version control, CI/CD workflows, and Infrastructure-as-Code.
Ability to own and deliver greenfield projects independently.
Deep expertise in Snowflake performance tuning and cost optimization.
Background in analytics or ML data preparation.
Prior experience embedded in a startup or small data team.
Familiarity with OpenSearch for log analysis or search-backed data products.

Compensation and location

Location: Chicago, IL (onsite)

Salary: USD 141,000 - 169,250 per year

Estimated annualized compensation includes base salary, an annual discretionary performance bonus, and a 401(k) plan with an annual employer contribution based on years of service, as part of Bain’s best-in-class benefits package.

Benefits

4.5% 401(k) company contribution, increasing after 3 years of service and 100% vested upon start date.
Bain & Company’s comprehensive benefits and wellness program designed to support personal independence, protection, and stability for employees and their families.
Medical, dental, and vision premiums: Bain pays 100% of individual employee premiums, offering comprehensive coverage without impacting your paycheck.
Generous paid time off, including parental leave, sick leave, and paid holidays.
Fully vested 401(k) company contribution.
Paid Life and Long-Term Disability insurance.
Annual fitness reimbursements.

Technology stack

SQL, Snowflake, Airflow, DBT, Python, AWS (S3, Lambda, ECS, RDS, MWAA), OpenSearch.

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1d ago

Lead Data Engineer

Lutron Electronics Co., Inc Coopersburg, PA

Coopersburg, PA

1d ago

Full time Manager 3d Design Tools Amazon Eks

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Job Description

The Lead Data Engineer role at Lutron Electronics Co., Inc. is focused on building and scaling a modern, cloud-native data and AI platform. You will shape enterprise data ecosystem architecture and lead scalable data solutions spanning streaming, cloud platforms, data modeling, and AI enablement.

Core Responsibilities

Lead the development of Lutron’s cloud-based data ecosystem.
Mentor data engineers, software engineers, and data scientists.
Establish and drive best practices for data engineering, including governance, security, and scalability across teams.
Streamline data access and promote data literacy throughout the organization.
Process, clean, and validate large-scale datasets to preserve data integrity.
Architect cloud-based solutions using AWS and Microsoft platforms.
Model data to support business needs, enabling accurate analytics, KPIs, and decision-making across functional areas.
Build and maintain infrastructure used to host, manage, and automate machine learning models and advanced analytics.
Support AI/ML workflows by creating scalable pipelines for model training, deployment, monitoring, and versioning.
Integrate AI-driven capabilities such as recommendation engines, natural language processing, and predictive analytics into enterprise systems.
Optimize data pipelines for large-scale feature engineering, experiment tracking, and real-time inference.
Collaborate with data scientists to productionize AI models and agents, focusing on performance, reliability, and compliance.
Ensure performance and data quality through SQL programming and optimization.
Communicate technical concepts effectively to both technical and non-technical stakeholders.
Develop automated analytics, dashboards, and data visualizations to support business decisions.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, or Software Engineering.
Minimum cumulative GPA of 3.00 for all degrees earned.
8+ years of experience in a related field.
Proven expertise in modern data modeling, real-time and batch data processing, and cloud-based architectures.

Technology & Tools

Cloud platforms: AWS (S3, Glue, EKS, Lambda, SageMaker, Redshift, Athena, Bedrock, Agentcore) and Microsoft.

Databases: SQL and NoSQL.

Visualization: Power BI, Tableau, QuickSight.

Programming & analytics: Python (Pandas, NumPy, PySpark).

Equal Opportunity Statement

Lutron Electronics is an Equal Opportunity – Affirmative Action – Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability, or genetics.

Location

Coopersburg, PA (onsite)

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1d ago

BI & Analytics Analyst/Data Engineer

Jewish Council for the Aging of Greater Washington Rockville, MD

Rockville, MD

1d ago

$110k - $132k/yr Full time Analyst Analytics Azure Analytics

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Job Description

Drive end-to-end BI and data engineering for agency analytics solutions in a hybrid role split between Power BI delivery and hands-on engineering.

Responsibilities

Partner with IT business teams and operational leaders to design analyses that support improvement in care, assess adherence to clinical best practice, and measure outcomes
Collaborate with key staff to develop, implement, and guide standards and best practices so agency data repositories produce consistent, reusable data
Enable business stakeholders to self-serve analytics by promoting best-practice knowledge and supporting adoption patterns that reduce IT-owned development
Own self-service reporting datasets, including DAX measures, data models, and row-level security
Translate business requirements into clear analytical deliverables, manage stakeholder expectations, and iterate based on feedback
Monitor report usage and data quality, proactively identifying and resolving issues
Document data definitions, metric logic, and report lineage to support a data-literate culture across the agency
Use technical tools to query, manipulate, and summarize data from multiple data sources
Assist with designing, developing, maintaining, and updating databases aligned to department and organizational needs
Design and build star schema data warehouse objects in SQL Server, including fact tables, dimension tables, and aggregate layers
Write and maintain T-SQL stored procedures, ETL pipelines, and staging-to-DWH data loads
Create and maintain source-to-target mapping documentation for new data domains
Integrate data from source systems
Contribute to data quality, pipeline reliability, and warehouse performance optimization
Support self-service analytics adoption by building clean, well-documented datasets
Document current data architecture, define logical and physical data, and establish the agency data blueprint
Manage and support the data warehouse solution including Wherescape RED and SQL Server (plus associated components listed in the technologies stack)
Define operational monitoring and alerting tools to ensure trusted, high-quality data delivery from source systems through to consumption
Establish best-practice standards and processes for data automation, orchestration, and transformation
Identify, design, implement, and manage a master data management solution for client and employee subjects; define data quality standards and operational DQ processes with stakeholders

Requirements

Bachelor’s degree required; Master’s degree highly preferred
5–7+ years of experience in a BI, analytics, or data engineering role
Strong proficiency in SQL Server and T-SQL, including stored procedures, window functions, and query optimization
Hands-on experience building and maintaining Power BI reports and semantic models (DAX, Power Query)
Hands-on experience with Wherescape OLAP; experience with alternative OLAP solutions: Azure Analysis Service, Azure Data Lake, Azure Synapse Analytics
Experience integrating or working with EHR data (reports, APIs, or data exports)
Familiarity with star schema / dimensional modeling concepts (Kimball methodology a plus)
Python experience for data wrangling, automation, or pipeline scripting
Experience with Microsoft Master Data Services (MDS), including defining entities and creation of business rules
Experience with Microsoft Data Quality Services (DQS) and SQL Server Integration Services (SSIS)
Comfortable working across the full analytics stack, from raw source data to end-user reporting
Strong communication skills, including explaining data concepts clearly to non-technical stakeholders
Advanced Microsoft Office skills (including Power BI), plus SQL; experience with EMR systems (hospice, homecare, and/or mental health) desired

Technologies

SQL Server, T-SQL
Power BI, DAX, Power Query
Wherescape OLAP, Wherescape RED
Azure Analysis Service, Azure Data Lake, Azure Synapse Analytics
Python
Microsoft Master Data Services (MDS)
Microsoft Data Quality Services (DQS)
SQL Server Integration Services (SSIS)
ETL
EHR data, EMR systems
Master data management

Job Details

Location: Rockville, MD (hybrid)
Salary: USD 110,000 - 132,000 per year
Pay Type: Salary

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1d ago

Senior Data Engineer

Loyal Source Government Services Orlando, FL

Orlando, FL

1d ago

$125k - $125k/yr Full time Senior Analytics Azure Data Factory

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Job Description

Loyal Source Government Services is seeking a Senior Data Engineer to design, build, and support scalable enterprise data platforms. This onsite role in Orlando, FL centers on delivering reliable data pipelines, well-structured data models, and strong governance and data quality controls to enable analytics and reporting across the organization.

The position supports end-to-end engineering for Microsoft-based data services, with hands-on work across ingestion, transformation, monitoring, deployment, and access/security practices. The salary for this Salary Exempt role is USD 125,000 per year, with a requirement of 5+ years of relevant experience.

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory, Dataflows, and other Azure services.
Build and support enterprise data integration solutions connecting internal and external systems, including APIs, SaaS platforms, databases, and third-party applications.
Design and implement Microsoft Fabric Lakehouse, Warehouse, and OneLake solutions following best practices.
Develop and optimize SQL-based transformations, including stored procedures, views, and performance-tuned datasets.
Create reusable ingestion frameworks for batch and near real-time processing.
Monitor and troubleshoot pipelines to maintain high reliability, performance, and operational stability.
Collaborate with Data Architects to deliver enterprise data models for analytics, operational reporting, and self-service BI.
Implement Medallion Architecture (Bronze, Silver, Gold) within Microsoft Fabric.
Define dimensional models including star schemas, fact tables, dimension tables, and semantic modeling structures for analytics consumption.
Recommend architecture improvements that increase scalability, maintainability, and performance.
Work with Microsoft Fabric and related tools including OneLake, Lakehouse, Warehouse, Data Factory, Pipelines, Semantic Models, and Power BI.
Support secure data movement, storage, integration, and processing using Azure services.
Participate in environment configuration, deployment planning, and operational support activities.
Implement automated data quality validation, reconciliation, and exception handling processes.
Support data governance initiatives including metadata management, data lineage, data stewardship, data cataloging, and data classification.
Establish monitoring and alerting for pipeline failures, schema drift, and data anomalies.
Promote data standards and governance best practices across engineering efforts.
Implement CI/CD deployment processes using Azure DevOps and Git repositories, including automated deployment pipelines for Fabric artifacts and data engineering solutions.
Support source control workflows, pull request processes, branching strategies, release management, and deployment automation.
Develop Infrastructure-as-Code and configuration management patterns where appropriate.
Implement data security controls such as access management, encryption, and auditing.
Ensure compliance with internal governance policies and industry best practices, including support for regulatory and privacy requirements related to sensitive business and employee data.
Partner with business stakeholders, analysts, architects, and application teams to understand data requirements.
Mentor junior engineers and promote engineering best practices.
Participate in technology evaluations and recommend tools, frameworks, and architectural improvements.
Contribute to enterprise standards for Microsoft Fabric, data engineering, and analytics delivery.

Requirements

Bachelor's Degree in Computer Science, Data Engineering, Information Systems, Mathematics, Software Engineering, or a related discipline.
5+ years of hands-on experience in Data Engineering, Data Platform Engineering, Data Warehousing, or Analytics Engineering.
Advanced SQL development skills, including query optimization and performance tuning.
Strong Python experience for data processing, integrations, automation, and orchestration.
Experience designing and implementing enterprise data warehouses and analytical data platforms.
Experience building enterprise ETL/ELT solutions using Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, SSIS or comparable technologies.
Hands-on experience with Data Lakes, Lakehouses, Data Warehouses, Dimensional Modeling, and Star Schema design.
Experience integrating data from APIs, SaaS platforms, databases, and external systems.
Experience with source control and Git-based development practices.

Technologies

Microsoft Fabric, Azure Data Services, Microsoft Fabric Lakehouse, Azure Data Factory, Dataflows, OneLake, Warehouse
ETL, ELT, SQL, stored procedures, views
Medallion Architecture (Bronze, Silver, Gold), dimensional models, star schemas, semantic modeling structures
Power BI, Azure DevOps, Git, CI/CD
Infrastructure-as-Code, Python, Azure Cloud Services
Data Warehousing, Azure Synapse Analytics, SSIS
Data Lakes, Delta Lake, REST APIs
Salesforce, Workday, Azure Functions, Synapse Analytics
Data lineage, metadata management, data cataloging, data classification, data stewardship

Preferred Requirements

Microsoft Fabric implementation experience in production environments.
Experience with OneLake, Data Factory, Lakehouse, Warehouse, and Semantic Models.
Experience with Power BI, Azure DevOps, and CI/CD deployment pipelines.
Experience with Delta Lake and modern lakehouse architectures.
Experience developing REST APIs, microservices, and backend integrations.
Experience supporting enterprise reporting and analytics initiatives.
Experience with Salesforce and Workday data models and integrations.
Familiarity with healthcare, workforce management, staffing, government contracting, or enterprise operational reporting.
Microsoft Azure and/or Microsoft Fabric certifications.

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2d ago

Data Engineer - Analytics Platforms

Peraton Herndon, VA

Herndon, VA

2d ago

$86k - $138k/yr Full time Analytics Api Integration Artificial Intelligence

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Job Description

Peraton Labs is seeking a Data Engineer to support the development of the Digital Command Center and associated data-driven capabilities for the FAA BNATCS program. The position focuses on delivering production-grade data pipelines, integrations, and backend components that power analytics, visualization, and evolving agentic AI workflows.

Responsibilities

Design, develop, and maintain data pipelines, transformations, integrations, and supporting application logic for the Digital Command Center
Create data-driven components that support dashboards, analytics products, visualization layers, and internal decision-support capabilities
Write production-quality code to ingest, process, transform, and expose data for downstream consumers
Collaborate with data, systems, operations, and visualization stakeholders to translate requirements into usable technical solutions
Integrate multiple structured and semi-structured data sources as program needs evolve
Develop and refine backend logic, APIs, scripts, or services that enable analytics and user-facing data products
Operationalize data flows and application functionality supporting internal Agentic AI tools and workflows
Deliver practical, maintainable technical solutions rather than one-off analysis artifacts
Identify performance issues, data quality problems, integration gaps, and technical constraints that impact delivery
Work with architects, data leads, and software teams to support scalable and maintainable solutions aligned to broader platform goals
Support rapid iteration in a dynamic environment where requirements and use cases continue to change

Requirements

Minimum education and experience: BS degree with 5+ years of experience, or MS degree with 3+ years of experience, or PhD in Computer Science, Data Engineering, Information Systems, Data Analytics, or a related field
Strong hands-on development experience with Python
Strong experience with SQL and working with relational and/or analytical data stores
Experience building data pipelines, transformation workflows, backend data services, or data-driven applications
Experience with Agentic AI systems, autonomous workflows, MCP and system tools, LLM-enabled applications, or intelligent orchestration environments
Demonstrated ability to write code and develop technical solutions in a production, prototype, or mission-support context
Experience integrating multiple data sources to support downstream analytics, dashboards, or application usage
Experience with cloud environments, containerization, and deployment tooling such as Docker, Kubernetes, or Terraform
Ability to work effectively at the intersection of technical implementation and business or mission objectives
Strong analytical thinking, problem-solving ability, and attention to detail
US Citizenship with ability to obtain and maintain an FAA Public Trust suitability

Technologies

Python, SQL
Docker, Kubernetes, Terraform
MCP
LLM-enabled applications
JavaScript, TypeScript, Java, C++
PostgreSQL, MySQL, Snowflake, BigQuery, Redshift
APIs, microservices

Benefits

Medical, Dental, Vision
Life
Health savings account
Short/long term disability
EAP
Parental leave
401(k)
Paid time off (PTO) for vacation
Company paid holidays

Additional Details

Location: Herndon, VA (onsite)
Target salary range: USD 86,000 - 138,000 per year
Application window: Estimated to be 30 days from the job posting date
During review, applicants may be asked to participate in an on-camera interview and complete an identity verification process
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law