Information Technology (IT)

Information Technology (IT) Developer Jobs

1,218 jobs found

Today

AI Data Engineer

InterMed, P.A. South Portland, ME

South Portland, ME

Today

$105k - $153k/yr Full time Backend Developer Analytics Artificial Intelligence

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Job Description

The AI Data Engineer at InterMed builds the data foundation and AI-driven applications that automate business and clinical workflows and support better decision-making.

Responsibilities

Support migration of BI workloads from on-prem SQL and SSIS into Microsoft Fabric; assess which legacy packages to retire, rebuild, or re-architect
Maintain existing SQL Server and SSMS-based reporting workflows and SSIS packages to preserve continuity during the transition
Design and build data pipelines into Fabric OneLake from source systems (for example, eClinicalWorks, payer and ACO files), including orchestration, scheduling, dependency management, alerting, and failure recovery
Complete data warehouse build-out across priority subject areas using a SQL-based transformation framework (for example, dbt) for modular, tested, version-controlled, documented data models
Build and publish certified Power BI semantic models with governed measures, definitions, and business-friendly descriptions to support Copilot report building and self-service data agents
Support the transition of reporting from Tableau to Power BI
Build and maintain Python automation scripts and APIs that support pipelines, applications, and agents
Implement data quality, integrity, and security controls across the platform, including HIPAA/PHI safeguards and automated monitoring and alerting for key data quality metrics
Evaluate and integrate LLM-powered tooling (for example, Claude, Copilot, or equivalent) to accelerate data workflows and enable natural-language data access
Set team standards for responsible AI-assisted development, including using AI tools to write, review, test, and document code and queries with human review of generated output
Use AI to optimize dashboard builds and capabilities for end user agents and self-service analytics
Design, build, and deploy purpose-built applications and AI agents that automate BI, IT, other administrative, and clinical workflows end to end (from data intake through action and audit trail)
Develop custom apps and agents using low-code tools in the Microsoft ecosystem (for example, Power Apps, Power Automate, and Fabric data agents), and use Python- and LLM-based custom agents for multi-step workflows where low-code is insufficient
Creatively leverage EMR and other data sources, including structured fields, clinical documentation, and other unstructured sources, to support new analytics and automation use cases in compliance with HIPAA/PHI safeguards
Partner with IT on integration, deployment, and ongoing operation of applications and agents
Advise IT and business partners on AI vendor point solutions by assessing fit, overlap with in-house capabilities, data access and integration requirements, and build-versus-buy tradeoffs
Develop analyst capability in Python, flexible coding, unstructured data techniques, and AI-assisted development through coaching, code review, and shared patterns and templates
Maintain strict confidentiality in alignment with HIPAA guidelines and InterMed policies
Perform other duties supporting InterMed’s mission, vision, and values

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field; or an equivalent combination of education and experience
3-5 years of hands-on experience with AI, data engineering, BI development, or data architecture, with demonstrated ownership of production pipelines and infrastructure
Python proficiency for data engineering: transformation, automation, pipeline development, and data quality scripts
Advanced SQL skills with hands-on experience in SQL Server and SSMS-based environments (preferred)
Daily hands-on experience using AI coding assistants and AI tools (for example, Claude Code, GitHub Copilot, or similar) to write, test, debug, and document code and queries
Familiarity with Microsoft Fabric, Azure data services, Snowflake or a comparable cloud data platform, and integration within a broader Microsoft technology environment
Deep understanding of end-to-end data workflows from source systems to consumption
Demonstrated experience delivering at least one production application, automation, or AI agent that replaced a manual business process
Experience with version control, CI/CD workflows, and code review practices for data assets
Demonstrated ability to design, document, and govern enterprise data models and architecture

Technologies

Microsoft Fabric
Power BI
Microsoft Copilot
Claude / Claude Code
GitHub Copilot
SQL, SQL Server, SSMS, SSIS
OneLake
Power BI semantic models, Copilot report building
Power Apps, Power Automate, Fabric data agents
dbt
Python
LLM APIs, JSON
EMR
Tableau
Azure data services
Snowflake
Microsoft Entra ID
Microsoft 365

Location and Salary

Location: South Portland, ME (onsite)
Salary: USD 105,372 - 152,880 per year

Mission and Values

Follows InterMed’s mission of patient-centered primary care, with patient first to deliver high quality, high value care
Delivers care with a level of service that exceeds patient expectations
Treats patients and each other with dignity and respect; maintains a positive attitude
Insists on honesty and integrity from team members and business partners
Emphasizes teamwork across physicians, colleagues, and patients
Embraces change to better serve patients
Uses business practices featuring individual accountability and group responsibility to deliver high value healthcare
Has fun as the team carries out the mission

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Today

Data Engineer

Agile Defense Omaha, NE

Omaha, NE

Today

Full time Analytics Artificial Intelligence Azure

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Job Description

Agile Defense is building trusted solutions in complex domains, and this role supports mission-critical data systems through scalable engineering, real-time processing, and strong data governance. You will work onsite in Omaha, NE within a SCIF in STRATCOM, contributing to reliable pipelines and analytics-ready data that teams can act on with confidence.

Responsibilities

Design, build, and maintain highly scalable, reliable, and efficient ETL/ELT pipelines that move data from multiple sources into data warehouses, data lakes, and other storage systems.
Collaborate with data scientists, analysts, and other stakeholders to understand data needs and ensure data flows efficiently across platforms and systems.
Develop, deploy, and maintain real-time streaming solutions with low latency using tools such as Apache Kafka, Flink, or Spark Streaming.
Optimize and automate data workflows so pipelines remain efficient and dependable as data volumes grow.
Oversee data model and schema design to support accurate, accessible, and high-performance storage for analytics and reporting.
Ensure data quality, integrity, and consistency through validation, monitoring, and error-handling mechanisms.
Monitor systems to identify and troubleshoot performance bottlenecks affecting data processing and data access.
Stay current with emerging trends and best practices in data engineering, recommending tools, technologies, and methods to improve infrastructure.
Mentor and guide junior data engineers, reinforcing best practices and supporting a collaborative, high-performance team environment.

Requirements

Strong understanding of data validation, model testing, and performance evaluation techniques.
Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.
Excellent technical communication skills, including the ability to explain complex concepts to non-technical audiences.
5+ years of experience in data engineering or software engineering, including experience designing and managing complex data pipelines.

Preferred

4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
Proficiency in Python, SQL, and distributed data frameworks such as Spark, Databricks, and PySpark.
Experience developing ML models from training through deployment using tools and libraries such as scikit-learn, TensorFlow, XGBoost, and MLflow.
Familiarity with MLOps, API development, and secure cloud environments (e.g., AWS, Azure, Palantir Foundry).

Technologies

Apache Kafka, Flink, Spark Streaming, Tableau, Plotly, Matplotlib, Python, SQL, Spark, Databricks, PySpark, scikit-learn, TensorFlow, XGBoost, MLflow, AWS, Azure, Palantir Foundry

Education

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (master’s degree preferred). Equivalent relevant work experience may substitute for education, with each year of experience substituting for each year of required education.

Core Values

Happy - Be Infectious.
Helpful - Be Supportive.
Honest - Be Trustworthy.
Humble - Be Grounded.
Hungry - Be Eager.
Hustle - Be Driven.

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Today

Research Data Engineer II

Brown University Health Providence, RI 🇺🇸 Remote

Providence, RI

Today

$100k - $165k/yr Full time Big Data Cloud Data Engineering Cloud Data Platform

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Job Description

Brown University Health is seeking a Research Data Engineer II to support the design and operationalization of data systems across the healthcare organization. Reporting to the Manager, Data Architecture, this role focuses on scalable, performant, and resilient pipelines that enable effective decision making while strengthening enterprise data quality.

This position blends engineering rigor with healthcare-informed data management, including automated validation, careful data mapping, and collaboration across teams and partners to meet emerging data requirements and shared terminology.

Role focus

Design, build, and maintain scalable data processing systems that deliver efficient, secure, and reliable pipelines.
Lead operationalization of complex data pipelines so data solutions align with organizational and business objectives.
Develop fully automated data validation and data mapping rules to confirm regular updates, map new values, and detect unexpected changes.
Perform root cause analysis for discrepancies or anomalies and implement corrective action.

Data engineering and integration

Work across multiple vendor-supplied and home-grown data warehouses and lakes to reduce duplication and inefficiencies.
Profile and re-organize complex or disjointed data sources to improve usability for analytics.
Integrate and ingest information from diverse sources including clinical data, supplier inputs, financial transactions, HR and other service applications, third-party information, and unstructured inputs from tools such as Excel spreadsheets and online forms.
Evaluate the integrity of data movement, transformation code, and large datasets.
Innovate and lead the design and development of Extract, Transform, Load (ETL) processes.

Data products, governance, and enablement

Maintain documentation for data processes, tools, and pipelines written for data users.
Contribute to and grow a unified data catalog and data model.
Engage organizational partners to define new data requirements and evolving terminologies.
Manage and maintain mappings for common or related terms in a centralized location, including ongoing updates to support coordination.
Proactively inform the data community about new capabilities delivered by the data architecture team.
Design, build, and maintain a centralized repository of reliable, high-quality data to streamline data scientist workflows and support faster dataset validation.
Work with data governance bodies to advocate for safer, more secure, and more effective data procedures.

Collaboration and growth

Mentor and guide junior engineers and help foster collaboration and continuous learning.
Produce training materials for data specialists across the organization.

Cloud and optimization

Contribute to cloud migration initiatives, data infrastructure modernization, and system optimization.
Monitor analytics department capacity resources such as Microsoft cloud computing capacity.
Develop and implement plans to reduce analytics department capacity usage without reducing data functions by optimizing processing techniques.

Basic qualifications

Bachelor’s Degree in a STEM-related field (or equivalent).
Four years’ experience in data engineering, including strong proficiency in SQL, Python, and other data tools.
Experience architecting scalable data systems and working with large, complex datasets.
Experience designing and operationalizing complex solutions.
Experience with data modeling, ETL processes, and data pipeline optimization.
Firsthand experience with cloud platforms, data warehousing, and ETL design.
Experience with healthcare data management and familiarity with healthcare industry standards is preferred.
Demonstrated experience mentoring junior engineers and collaborating across teams.
Strong analytical and critical thinking skills, including the ability to decompose complex issues into practical solutions.
Excellent written and verbal communication skills for technical and non-technical stakeholders.
Skilled in rigorous and automated data validation techniques.
Knowledge of data documentation methods that prioritize documentation value.
Epic Clarity Cogito certification is preferred.

Technologies

SQL, Python, Extract, Transform, Load (ETL)
Cloud platforms, data warehousing, data lakes, data pipelines
Microsoft cloud computing capacity, Epic Clarity Cogito, Excel

Compensation

$100,027.20 to $165,048.00 per year

Work environment

Remote position with option to travel to sites in Rhode Island and Southeastern Massachusetts as needed.
Employee must establish a secure workspace environment to protect confidentiality of sensitive information, including PHI and PII.
Employee is responsible for costs related to setting up, furnishing, and maintaining the remote workspace, including internet connectivity to access Brown University Health Information Services resources.
Requires the visual and manual dexterity to operate a computer.

Independence and supervision

Performs independently within broad scope of department policies and practices.
Refers specific complex problems to supervisor when clarification is required.
Supervisory responsibility: none.

Schedule

Work type: M-F 8:30 am to 5:00 pm
Work shift: Day
Daily hours: 8
Driving required: No

Location

Corporate Headquarters - 15 LaSalle Square Providence, Rhode Island 02903
Location: Providence, RI (remote)

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Today

Data Engineer, Operations Finance

Apple Sunnyvale, CA

Sunnyvale, CA

Today

$149k - $249k/yr Full time Apache Airflow Artificial Intelligence Automation

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Job Description

Apple is seeking a Data Engineer for Operations Finance to support a financial data platform focused on logistics costing and forecasting. The role centers on re-engineering logistics finance workflows and delivering scalable pipelines, data models, and automation for reporting and AI/GenAI workloads.

Responsibilities

Understand and document finance processes in the logistics and supply chain domains.
Find opportunities to re-engineer processes and introduce automation to improve operational efficiency.
Work with financial analysts, engineers, and operations experts to define data needs and convert them into scalable data foundation structures.
Design and build scalable, flexible, high-performance data pipelines for analytics, reporting, and AI/GenAI use cases.
Apply data modeling, governance, lineage, quality, and documentation best practices to maintain trust and consistency across the data ecosystem.
Partner with cross-functional engineering teams to deliver vector-ready data models, feature pipelines, metadata systems, and foundational components for Agentic and GenAI applications.
Design and implement scalable data models and modern Data & Business solutions using tools such as Dataiku.

Requirements

Minimum of 5 years of experience as a data engineer building end-to-end data pipelines.
Bachelor’s degree in Computer Science, Information Systems, or equivalent.
Advanced SQL skills for complex transformations, optimization, and troubleshooting.
Python proficiency, including the ability to write clean, maintainable Python for data pipelines and automation.

Technologies

Dataiku
Data & Business solutions
Agentic/GenAI and AI/GenAI
Vector-ready data models
Snowflake
PostgreSQL
Airflow
Jenkins
CI/CD tools
Python
SQL

Location

Sunnyvale, CA (onsite)

Compensation

The base pay range for this role is USD 149,200 - 249,000 per year. Base pay is determined within the range based on skills, qualifications, experience, and location.

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary bonuses or commission payments, as well as relocation (discretionary, eligibility-dependent)
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Eligibility for discretionary restricted stock unit awards
Ability to purchase Apple stock at a discount through voluntary participation in the Apple Employee Stock Purchase Plan

Eligibility Notes

Apple benefit, compensation, and employee stock program participation are subject to eligibility requirements and the terms of the applicable plan or program.

Preferred Qualifications

Experience with scheduling systems and CI/CD tools such as Airflow, Jenkins, and similar tools.
Hands-on experience with relational database management systems such as Snowflake, PostgreSQL, or similar cloud data warehouses.
Knowledge of supply chain, logistics, finance, and accounting processes.
Excellent communication skills and ability to work independently.

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Today

Bioinformatics Software Engineer III, OncoKB

Memorial Sloan Kettering Cancer Center New York, NY

New York, NY

Today

$124k - $205k/yr Full time Backend Developer APIs Application Security

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Job Description

Build and improve software that supports OncoKB cancer genomics research and clinical care in a hybrid role in New York.

Responsibilities

Design comprehensive system architectures that enable scalability and ongoing evolution of the OncoKB platform
Work closely with the Lead Software Engineer and multidisciplinary teams of software engineers, scientists, and clinicians
Create and enhance front-end and back-end applications supporting genomic analysis, content curation, and clinical annotation workflows
Support continued growth of the OncoKB website, API, and underlying database infrastructure
Troubleshoot and resolve complex software issues in a fast-paced environment
Mentor junior developers and promote engineering best practices across the team

Requirements

Bachelor’s degree in Computer Science, Bioinformatics, or a related field, or equivalent practical experience via a coding bootcamp and professional development
Minimum 4 years of full-stack web development experience
Experience building and supporting production-level software applications
Strong written and verbal communication skills for collaboration with technical and non-technical stakeholders
Interest in learning about cancer biology, genomics, and precision medicine applications

Core Skills

JavaScript/TypeScript
React, HTML, CSS
Server-side development experience with one or more: Go, Java, C#, C++, Python
Relational databases such as MySQL or PostgreSQL
Git/GitHub or similar source control systems
Full-stack application architecture and development
Systems design and software troubleshooting

Preferred Qualifications

Familiarity with Docker and containerized application development
Experience with Kubernetes and/or AWS cloud environments
Coursework or professional experience in biology, genetics, genomics, or bioinformatics
Interest in server-side rendered web development; experience with or willingness to learn Datastar
Interest in Go development as the platform evolves toward new Go-based services

Tech Stack

JavaScript/TypeScript, React, HTML, CSS
Go, Java, C#, C++, Python
MySQL, PostgreSQL
Git/GitHub
Docker, Kubernetes, AWS cloud
Datastar

Work Details

Location: New York, NY (hybrid)
Schedule: Hybrid, in office once a week, M-F, 37.5 hours
In-office address: 323 E. 61st Street, NYC (Mackowe)
Reporting to: Bioinformatics Software Engineer IV
Compensation: USD 124,000 - 204,700 per year

Helpful links: Compensation Philosophy; Benefits

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1d ago

Senior Data Engineer

UCLA Health Los Angeles, CA

Los Angeles, CA

1d ago

$109k - $242k/yr Full time Backend Developer Senior Apache Airflow

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Job Description

UCLA Health is seeking an experienced Senior Data Engineer to design and build scalable data pipelines and trusted data products that support healthcare and enterprise analytics, data science, machine learning, and AI use cases.

Location and Role Details

Location: Los Angeles, CA (onsite)

Salary: USD 108,900 - 241,500 per year

Experience: 5+ years

Responsibilities

Design and build scalable data pipelines and platforms to integrate complex enterprise and external data sources.
Develop trusted data products, curated datasets, and reusable data models for reporting, analytics, data science, machine learning, and AI.
Engineer data solutions across clinical, operational, financial, research, and administrative healthcare domains.
Advance cloud-based data capabilities using Azure, Databricks, lakehouse architectures, enterprise data warehousing, and ML-ready data.
Apply modern engineering practices, including automated testing, CI/CD, orchestration, monitoring, observability, and production support.
Optimize data solutions for performance, scalability, reliability, security, and usability.
Establish standards and reusable frameworks for data modeling, metadata, governance, data quality, security, and engineering.
Produce technical architecture and operational documentation such as data lineage, data dictionaries, runbooks, and other materials that enable reliable enterprise data operations.
Partner with technology and business teams to translate complex requirements into scalable and sustainable data solutions.
Lead technical design and architecture discussions and support definition of implementation approaches and operational support for strategic initiatives.
Mentor engineers through code reviews, technical guidance, workshops, and knowledge sharing.
Partner with leadership to shape engineering standards, platform capabilities, and the long-term data architecture roadmap.

Required Qualifications

5+ years of experience in data engineering, software engineering, backend engineering, analytics engineering, or a related technical role.
Strong programming experience with Python, including clean, modular, maintainable, production-quality code.
Solid understanding of data warehousing, ETL/ELT design patterns, dimensional modeling, data lake/lakehouse concepts, and large-scale data processing.
Experience designing and building data pipelines that ingest, transform, validate, and publish data from multiple source systems.
Experience with modern data platforms including Databricks, Spark, Delta Lake, Snowflake, Microsoft Fabric, or similar technologies.
Working knowledge of cloud platforms such as Azure, AWS, or GCP; Microsoft Azure experience is especially valuable.
Experience with orchestration and pipeline execution tools such as Azure Data Factory, Databricks Workflows, Airflow, or similar platforms.
Experience with production engineering practices including Git-based development, CI/CD, automated testing, code reviews, logging, monitoring, and release management.
Experience with machine learning data workflows, including feature engineering, feature stores, ML-ready datasets, MLflow, MLOps, and AI/GenAI-supporting data infrastructure such as RAG-based systems.
Ability to collaborate effectively with technical and non-technical stakeholders, including architects, analysts, data scientists, product managers, business teams, and application owners.
Strong written and verbal communication skills, including explaining technical decisions and documenting solutions for long-term maintainability.

Education

Bachelor’s degree in computer science, Computer Engineering, Data Engineering, Information Systems, or a related technical field.
A master’s degree is a plus.

Technologies

Python, Azure, AWS, GCP, Databricks, Spark, Delta Lake, Snowflake, Microsoft Fabric, Azure Data Factory, Databricks Workflows, Airflow, Git, CI/CD, MLflow, MLOps

Compensation and Salary Notes

Salary Range: $108,900.00 - $241,500.00 annually
Salary offers are based on qualifications, experience, and internal equity. The University anticipates offering a salary between the minimum and midpoint of the range.

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1d ago

Full Stack .NET Developer

Matlen Silver Jersey City, NJ

Jersey City, NJ

1d ago

$60 - $68/hr Contract Backend Developer .NET Angular

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Job Description

Matlen Silver is hiring a Full Stack .NET Developer for a 12-18 month contract in Jersey City, NJ (hybrid).

Responsibilities

Develop and deliver complex software requirements for client financial services within the Wealth Management Technology group
Build solutions using Microsoft .NET technologies to support client-facing and internal financial service needs

Requirements

Bachelors or masters degree in Computer Science or a related field
10+ years of extensive experience working on UI technologies, including React JS, Angular, ASP .NET MVC, jQuery, and other client-side technologies
Experience working with NodeJS
Experience with source code and version control systems such as Bitbucket and Git
Experience using C# and .NET

Technologies

Microsoft .NET
Node.js
ASP.NET
ASP .NET MVC
React JS
Angular
jQuery
C#
Bitbucket
Git
REST APIs
Microservice based architecture

Desired Qualifications

Very good communication and problem-solving skills
Good understanding of web services, REST APIs, and microservice based architecture
Ability to work in an agile and fast paced environment
Strong communication, collaboration, and organizational skills with the ability to work in a matrix-based diverse and geographically distributed team