Azure data factory jobs in Atlanta, GeorgiaCreate job alerts

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Microsoft Fabric Data Engineer is responsible for architecting, implementing, and optimizing enterprise-scale data solutions using the Microsoft Fabric platform. This role designs modern lakehouse and warehouse architecture, integrates operational systems via Synapse Link, and helps to ensure strong data governance and compliance through Microsoft Purview. This role partners closely with analytics teams and business stakeholders to deploy features that support advanced reporting, self-service analytics, and AI-driven insights. What You'll Do: • Design and implement enterprise data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, MS Graph, and Real-Time Analytics., • Develop medallion or similar data architectures within OneLake., • Optimize performance, cost, and scalability across Fabric workloads., • Establish CI/CD processes and DevOps practices for Fabric deployments., • Integrate source systems (ERP, CRM, operational databases) using Fabric, Synapse Link, MDMs, and other ingestion frameworks., • Build and maintain robust ETL/ELT pipelines using Fabric Data Factory capabilities., • Design dimensional and semantic models to support PowerBI and enterprise analytics., • Implement enterprise data governance using Microsoft Purview, including data cataloging and lineage, classification and sensitivity labeling, and policy enforcement and access controls (eg., RBAC)., • Ensure regulatory compliance (eg., GDPR, SOC 2)., • Monitor and optimize system performance, reliability, and availability. Establish logging, alerting, and observability practices., • Support incident response and root-cause analysis for production workloads., • Translate business requirements into technical architecture., • Collaborate with analytics, BI, data science, and application development teams. What You'll Bring: Education/ Certifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent education and experience). Required Skills/Qualifications: • 5+ years of experience in data engineering, data warehousing, or analytics engineering., • 2+ years of hands-on experience with Microsoft Fabric., • Experience designing lakehouse architectures at enterprise scale., • Proficiency in SQL, Python, Spark, etc., • Experience deploying and managing Microsoft Purview for governance and lineage., • Understanding of Azure identity and security (Azure AD/Entra ID, RBAC, managed identities, security principals)., • Understanding of Azure/Fabric billing and utilization analysis., • Experience with CI/CD pipelines (Azure DevOps or GitHub Actions)., • Strong analytical and problem-solving skills. Preferred Skills/Qualifications: • Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate)., • Experience with Synapse Link., • Experience with DataBricks, • Experience with MDM platforms (esp. Profisee)., • Experience leveraging data assets from various systems including Microsoft Dynamics 365, PowerBI, SharePoint, Smartsheet, ConnectWise, ExperLogix, D-Tools, ServiceNow, • Experience integrating streaming or near real-time data workloads., • Familiarity with PowerBI semantic models and enterprise BI governance., • Experience implementing data quality frameworks and metadata-driven pipelines., • Knowledge of Delta Lake and open table formats., • Master's degree in a quantitative or technical discipline. What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job Role - Azure Functions Event Grid SME - JAVA Microservices Location - Atlanta, GA or Oakland, CA(Hybrid) Key Responsibilities Design and implement serverless solutions using Azure Functions and Azure Durable Functions with Java.Build event-driven architectures leveraging Azure Service Bus and Az

NAVA Software solutions is looking for a Azure Data Engineer.Location: Atlanta GA - Hybrid /.Strong exp in Azure Data Analytics having a thorough understanding of Azure Data Platform tools.Hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps.Strong exp

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. The Value You Deliver (or What You’ll Do) • Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions., • Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies., • Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution., • Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs., • Stay current with the latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to key stakeholders. Qualifications • Experience building/operating highly available distributed systems of data extraction, ingestion, and processing large data sets, • 5+ years of experience delivering data engineering solutions on cloud platform, • 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP), • Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion), • Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks, • 5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery), • Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs), • 5+ years of experience with at least one programming language (Python, Java, R, C / C# / C++, Shell), • Familiarity with one or more DevOps tools (git, Jenkins, CI/CD, Jira), • Fundamental understanding of big data, open source, and data streaming concepts, • Ability to think strategically and provide recommendations utilizing traditional and modern architectural components based on business needs, • Experience providing technical leadership and mentoring other engineers in data engineering space, • Cloud certification on any platform a plus Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. #LI-LM1

Job DescriptionLocation: Atlanta Duration: Summer 2026 | 3–6 Months Department: Data Science / Machine Learning About GAINS GAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our decision intelligence platform doesn't just support decisions, it drives them by aligning strategy, planning, and execution across every level of the supply chain. We serve inventory-intensive industries where the stakes are high and the complexity is real, helping customers move from reactive, spreadsheet-driven planning to continuously learning, AI-led operations that deliver measurable results fast. At GAINS, we call it Moving Forward Faster— and it's not a tagline, it's how we're redefining what's possible in driving supply chain decisions. About the Role We are looking for a motivated and technically curious Data Science Intern to join our team. You will work alongside experienced data scientists and engineers on real-world problems, contributing to feature engineering, data pipeline development, and automation workflows that power our machine learning initiatives. This is a hands-on role where your code ships to production systems. What You'll Do • Develop Python scripts and utilities to streamline repetitive data science workflows, • Collaborate with the data science team to understand business requirements and translate them into clean, testable code, • Use AI coding tools (e.g., GitHub Copilot, Claude, ChatGPT) fluently to accelerate development and improve code quality, • Document your work clearly so that pipelines and features are maintainable and reproducible What We're Looking For Must Have • Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Statistics, Mathematics, or a related field, • Comfort working with structured and semi-structured data (CSV, JSON, SQL) Nice to Have • Experience with version control (Git) and collaborative development workflows, • Basic understanding of data quality and testing practices What You'll Gain • Hands-on experience building production-grade data pipelines and ML-ready feature sets, • Mentorship from senior data scientists and platform engineers, • Exposure to modern MLOps tooling and cloud-based data infrastructure, • Real impact — your work will directly support model training and deployment workflows Why GAINS • Work on software that leverages AI and ML to solve real logistics challenges for customers, • Direct impact on developer experience across the entire engineering org, • Collaborative, low-bureaucracy environment where engineers own their work end-to-end Powered by JazzHR LYgorNYL2m

Job DescriptionJob Description: Senior Data Engineer – CDO / Data AI Engineering Job Title: Senior Data Engineer Location: Onsite/Hybrid - Middletown, Atlanta, or Plano Role Type: Full-Time Experience Level: Developer (5 years) Education: B.S. in Computer Science or related field Overview We are seeking an experienced Senior Data Engineer to design, build, and maintain enterprise-scale data platforms using modern cloud-native technologies. The ideal candidate will have deep expertise in Palantir Foundry, Databricks, and/or Snowflake, with a strong background in building scalable ETL/ELT pipelines and data warehousing solutions. Daily Responsibilities: • Design and implement end-to-end data pipelines using Palantir Foundry, Databricks, and Snowflake, • Develop scalable ETL/ELT workflows using Python, PySpark, and SQL for processing large-scale datasets, • Build and maintain data lake and data warehouse architectures on cloud platforms(Azure (Data Factory, Synapse, ADLS), Databricks, Snowflake), • Implement data governance, quality checks, and metadata management frameworks, • Create and optimize Databricks notebooks, Delta Lake tables, and Unity Catalog implementations, • Design Palantir Foundry Ontologies, and transformation pipelines, • Collaborate with data scientists, analysts, and business stakeholders to deliver data products, • Optimize query performance and storage strategies in Snowflake (clustering , partitioning, materialized views), • Implement real-time streaming pipelines using Spark Streaming, or similar technologies, • Develop CI/CD pipelines for data workflows using Git, Jenkins, or similar toolsRequired Qualifications:, • 5+ years of hands-on data engineering experience, • Expert-level proficiency in Python and PySpark for data processing, • Strong SQL skills with experience in complex query optimization, • Hands-on experience with at least two of: Palantir Foundry, Databricks, Snowflake, • Experience with cloud platforms (Azure) and their data services, • Knowledge of data modeling (dimensional modeling, star schema, snowflake schema), • Experience with orchestration tools (Airflow, dbt, Luigi, or similar), • Strong understanding of data governance, security, and compliance requirementsDesired Qualifications:, • Experience with IBM WatsonX.data or similar AI data platforms, • Knowledge of Delta Lake, Iceberg, or similar lakehouse formats, • Experience with GenAI, RAG architectures, or LangChain, • Familiarity with MCP (Model Context Protocol) for AI agent integrations

Job DescriptionValorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business. We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. In this role, you will combine deep technical expertise with strong consulting skills — engaging directly with clients, understanding business needs, translating requirements into scalable technical solutions, and communicating clearly with both technical and non-technical stakeholders.Responsibilities • Work directly with clients to understand business goals, data challenges, and technical requirements, • Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews, • Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources, • Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases, • Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks, • Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security, • Help establish engineering standards, reusable frameworks, accelerators, and documentation for internal and client teams, • Contribute to estimation, project planning, and delivery management for client engagementsMinimum Requirements, • Bachelor’s degree in computer science or related field, • 8 years of experience in data engineering, data platform development, or cloud data solutions, • 3 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies, • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, • Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI, • Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements, • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.), • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologiesPreferred Qualifications, • Azure Database for PostgreSQL, • Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment., • Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements, • Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps, • Experience with Delta Lake, Unity Catalog, and Databricks workspace administration or governance.

Job Description JOB NUMBER: 1632 | LOCATION: Atlanta, GA / Remote CLEARANCE/ACCESS LEVEL: NACI Database Specialist Applied Data Engineering & Analytics Platforms – 0.5 FTE AMDEX.ai The Art of Data Science We are a seasoned Full-spectrum data solutions firm. We deliver insights, strategies, data analytics, and technical expertise to accelerate data modernization. We specialize in data sciences and cloud solutions, application development and maintenance, program management, and health IT operations leveraging experience and trusted talent to solve the federal government’s most pressing business and technical challenges. Without you, it’s just data. AMDEX is seeking an experienced Systems Engineer to join our dynamic team supporting a federal client. The Systems Engineer shall serve as a subject matter expert in systems engineering, providing technical expertise and guidance to support the development, integration, and testing of complex systems, including C5I systems. The ideal candidate shall possess a deep understanding of systems engineering principles, as well as experience with hardware, software, and firmware components. The Systems Engineer shall work independently and as part of a team to ensure that systems are designed, developed, and integrated to meet program and project goals. Overview This position serves as a hybrid Applied Data Engineering and Analytics Platform specialist, responsible for hands-on design, configuration, integration, and operational support of enterprise analytics systems supporting NCHHSTP. Working under the direction of the Senior Architect, this role focuses on implementing secure, scalable data pipelines and structured data assets across CDC-approved platforms, including Palantir Foundry (1CDP), CDC EDAV, Azure data services, and SQL Server environments. The position emphasizes production-grade data engineering, database optimization, and analytics platform enablement, while maintaining the capability to support applied analytics workflows when required. Key Responsibilities • Design, build, and integrate secure data workflows across Palantir Foundry (1CDP), CDC EDAV, Azure Data Factory, Databricks, and SQL Server environments, • Develop and maintain structured datasets, data models, and schema designs supporting reporting and surveillance analytics, • Build, optimize, and maintain ETL/ELT pipelines supporting analytics and operational workloads, • Develop and maintain validation and transformation scripts using Python, R, SQL, and related tools, • Perform performance tuning, troubleshooting, and operational monitoring across analytics and database platforms, • Support the operationalization of analytics workflows into repeatable, production-ready processes Must have 5+ years of experience working with R and Python programming Must be able to obtain and maintain a Government suitability clearance AMDEX Corporation offers a competitive salary package and attractive benefits package. • Medical | Dental | Vision (Base plan employee premiums 100% company paid), • Employer Paid Life and Disability Insurance, STD and LTD, • Employee Assistance Plan and Employee Discounts, • 11 Federal Holidays | PTO accrual with carryover, • 401(k) Plan with company match | Flexible Spending Accounts: Medical, Dependent, Transit EOE M/F/D/V

Job DescriptionJob Description: Senior Data Engineer CDO / Data AI Engineering Job Title: Senior Data Engineer Location: Onsite/Hybrid - Middletown, Atlanta, or Plano Role Type: Full-Time Experience Level: Developer (5 years) Education: B.S. in Computer Science or related field Overview We are seeking an experienced Senior Data Engineer to design, build, and maintain enterprise-scale data platforms using modern cloud-native technologies. The ideal candidate will have deep expertise in Palantir Foundry, Databricks, and/or Snowflake, with a strong background in building scalable ETL/ELT pipelines and data warehousing solutions. Daily Responsibilities: • Design and implement end-to-end data pipelines using Palantir Foundry, Databricks, and Snowflake, • Develop scalable ETL/ELT workflows using Python, PySpark, and SQL for processing large-scale datasets, • Build and maintain data lake and data warehouse architectures on cloud platforms(Azure (Data Factory, Synapse, ADLS), Databricks, Snowflake), • Implement data governance, quality checks, and metadata management frameworks, • Create and optimize Databricks notebooks, Delta Lake tables, and Unity Catalog implementations, • Design Palantir Foundry Ontologies, and transformation pipelines, • Collaborate with data scientists, analysts, and business stakeholders to deliver data products, • Optimize query performance and storage strategies in Snowflake (clustering , partitioning, materialized views), • Implement real-time streaming pipelines using Spark Streaming, or similar technologies, • Develop CI/CD pipelines for data workflows using Git, Jenkins, or similar toolsRequired Qualifications:, • 5+ years of hands-on data engineering experience, • Expert-level proficiency in Python and PySpark for data processing, • Strong SQL skills with experience in complex query optimization, • Hands-on experience with at least two of: Palantir Foundry, Databricks, Snowflake, • Experience with cloud platforms (Azure) and their data services, • Knowledge of data modeling (dimensional modeling, star schema, snowflake schema), • Experience with orchestration tools (Airflow, dbt, Luigi, or similar), • Strong understanding of data governance, security, and compliance requirementsDesired Qualifications:, • Experience with IBM WatsonX.data or similar AI data platforms, • Knowledge of Delta Lake, Iceberg, or similar lakehouse formats, • Experience with GenAI, RAG architectures, or LangChain, • Familiarity with MCP (Model Context Protocol) for AI agent integrations

Job Description Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business. At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems. Responsibilities • Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals, • Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs, • Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture, • Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops, • Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks, • Collaborating with project management to plan work for delivery teams and verifying quality deliverablesMinimum Requirements, • Bachelor’s degree in computer science or related field, • 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects, • 4 years of experience in a consulting role working directly with Enterprise customers, • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL, • Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI, • Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements, • Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements, • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologiesPreferred Qualifications, • Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps, • Knowledge and familiarity with Microsoft Purview, • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.), • Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft

Job Description The Criminal Justice Coordinating Council (CJCC) is seeking a skilled ETL Programmer with hands-on experience in Azure Data Factory (ADF)to design, develop, and maintain robust data pipelines and integration solutions. Local Candidates Only - Onsite visits to the office will be required 1-2 times per month. Key Responsibilities: Design and implement ETL processes using Azure Data Factory,Data Flows, and Mapping Data Flows. Integrate data from various sources including SQL Server, Blob Storage, APIs, and third-party systems. Develop and maintain data pipelines and data ware houses in Azure. Monitor and troubleshoot ETL jobs to ensure data quality and performance. Collaborate with analysts, and business stakeholders to understand data requirements. Implement data governance, security, and compliance best practices. Automate data workflows and optimize performance for large-scale data processing.

Job Description Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform. Job Title: Technical Architect D365 Location: US-GA- Atlanta (Sandy Springs- Hybrid) Relocation Assistance Provided FLSA: Exempt Company Overview: Safe-Guard Product International serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance & Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guard’s success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada. For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service. Role Overview: We are seeking an experienced D365 Finance & Operations (F&O) Technical Architect to lead the architecture, integration, and evolution of enterprise ERP solutions built on Microsoft Dynamics 365 F&O. In this role, you will serve as the technical authority for D365 F&O, guiding architectural decisions across integrations, cloud services, data, and DevOps practices. You will play a critical role in modernizing and scaling our ERP ecosystem using Azure Integration Services, ensuring solutions are secure, resilient, and aligned with long‑term business strategy. This position is ideal for a hands‑on architect who enjoys owning end‑to‑end technical design, collaborating closely with Finance and Accounting stakeholders, and driving ERP excellence in a hybrid cloud environment. Role Responsibilities: • Serve as the lead Technical Architect for Microsoft Dynamics 365 Finance & Operations (F&O), • Design and oversee enterprise‑scale integration architectures connecting D365 F&O with downstream and upstream systems, • Architect and maintain Azure Service Bus–centric integration patterns supporting D365 F&O data and business processes, • Leverage Azure Integration Services (Logic Apps, Function Apps, Event Grid, Data Factory) to enable scalable ERP integrations, • Define and enforce architecture standards, technical guardrails, and best practices aligned with security and compliance requirements, • Partner closely with Finance, Accounting, and business stakeholders to translate ERP requirements into technical solutions, • Design hybrid architectures that seamlessly connect on‑premises systems with cloud platforms, • Review detailed business requirements and produce technical solution designs, architecture diagrams, and documentation, • Provide technical leadership, mentorship, and guidance to development teams working on D365 F&O and Azure solutions, • Collaborate with IT leadership to shape ERP roadmap, modernization initiatives, and cloud strategy Role Requirements: • Bachelor’s degree in Computer Science, Engineering, or a related discipline, • Proven experience as a Technical Architect or Solutions Architect supporting enterprise ERP platforms, • Strong hands‑on experience with Microsoft Dynamics 365 Finance & Operations (F&O), • 5+ years of experience designing and implementing Azure cloud solutions, • Deep expertise with:, • Azure Service Bus, • Azure DevOps and CI/CD pipelines, • Logic Apps and Azure Integration Services, • Function Apps, Event Grid, and Azure Data Factory, • Strong background in .NET development, • Advanced knowledge of Microsoft SQL Server, including:, • Data modeling and performance optimization, • Stored procedures, indexing, locking, and query tuning, • XML queries and relational data design, • Familiarity integrating D365 F&O with peripheral systems (reporting platforms, data warehouses, third‑party services), • Experience with containerization and orchestration (Docker/Kubernetes) is a plus, • Microsoft certifications highly preferred:, • Dynamics 365 Finance & Operations Apps Solution Architect, • Microsoft Certified: Azure Solutions Architect Expert, • Authorized to work in the U.S., • Medical, Dental, and Vision Insurance, • Flexible Spending Account, • Health Savings Account, • 401(k) Plan with Company Match, • Company-paid Short-Term and Long-Term Disability, • Company-paid Life Insurance, • Paid Holidays and Vacation, • Employee Referral Program, • Employee Assistance Program, • Wellness Programs, • Paid Community Service Opportunities, • Tuition Reimbursement, • Ongoing Training & Personal Development

Job Description Senior Software Engineer Location: Remote About OncoLens At OncoLens, we're redefining cancer care through an innovative SaaS platform that enables multidisciplinary oncology teams to deliver personalized, evidence-based treatments to every patient. Our solutions power tumor boards, streamline care coordination, enhance clinical trial matching, and track quality measuresdelivering real-time insights from robust structured and unstructured data to healthcare providers and life sciences partners. Backed by premier healthcare investors, were rapidly scaling the platform that helps clinicians make life-saving decisions every day. This is not another feature factory role. This is a chance to build and evolve the core technical foundation of a platform that directly impacts patient outcomes. The Role We're hiring a Senior Software Engineer to serve as a technical backbone of our platform someone who can architect systems, lead, influence, and drive engineering excellence across teams. You'll partner closely with Product, Data, Integrations, and Executive Leadership to shape platform strategy, modernize our architecture, and ensure we scale with reliability, speed, and quality. You'll own critical backend and platform initiatives, mentor engineers, guide contractors, and play a hands-on role in building the next generation of the OncoLens platform. What You Will Be Doing Technical Strategy & Architecture • Set and communicate technical strategy across multiple engineering teams, acting as a key liaison with integrations and data-flow teams., • Lead architectural direction for core platforms and services, including:, • Temporal-based workflows, • V1 V2 platform evolution, • Vertically sliced features, rich domain models, and robust automated testing, • Ensure reliable, high-quality data ingestion and publication to the data lake and data warehouse., • Own the design, stability, and operation of critical backend and platform systems including:, • Authentication & authorization, • Lab integrations, • TBv2, • NAPRC, • V1 V2 migration, • Participate in on-call rotation and production support., • Lead Datadog monitoring and alert tuning., • Create and maintain engineering runbooks., • Drive organization-wide best practices in:, • CI/CD, • SDLC maturity, • Infrastructure as Code, • Define, champion, and safely scale the use of AI tooling across engineering workflows to improve:, • Code quality, • Developer productivity, • Partner with Product, Customer Success, and Executives to:, • Shape product direction, including AI-powered capabilities, • Lead technical POCs, • Provide scoped estimates and architecture input, • Mentor engineers across levels in:, • Core engineering practices, • Distributed system design, • Effective use of AI tooling, • Lead onboarding and ongoing success of contractor and offshore teams., • Provide clear technical guidance, uphold code quality, and support performance feedback loops., • Backend: .NET Core, Node.js / NestJS, TypeScript, • Frontend: React, React Native, • APIs: REST, HL7, FHIR, • Data: MySQL, PostgreSQL, Non-relational databases, • Cloud: AWS, Azure, or GCP, • DevOps: CI/CD, Infrastructure as Code, Git, • Monitoring: Datadog, • 5+ years of professional software engineering experience building and operating production systems., • Strong expertise in backend development with modern microservice architectures., • Experience building and scaling distributed systems., • Deep experience with APIs, integrations, and data pipelines., • Strong SQL skills and working knowledge of relational and non-relational datastores., • Experience delivering cloud-native systems with Infrastructure as Code., • A track record of mentoring engineers and influencing technical direction., • Influence platform strategy, not just ship tickets., • Drive AI adoption inside real engineering workflows, not just bolt AI into the product., • Work on technology that directly improves cancer treatment outcomes., • Help scale a platform backed by top-tier healthcare investors., • Have real ownership: architecture, reliability, long-term roadmapnot just features.

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash