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associate applied data scientist

associate data analyst

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data engineer

Kforce Inc

<div>
 
 Responsibilities
 
 
 
 Kforce has a client seeking a hybrid Data Engineer to join their team in Atlanta, GA. This role is focused on transforming and modeling SAP supply chain and inventory data within Snowflake to support enterprise analytics and business decision-making. The successful candidate will bring strong functional knowledge of SAP data structures and the ability to translate complex technical tables into business-ready data models. The Data Engineer is not responsible for data ingestion, SAP configuration, or migration efforts, as those functions are managed by a separate team. This role is exclusively focused on data transformation, modeling, and enablement for business consumption.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Demonstrated hands-on experience working with SAP supply chain and inventory data
 </li>
 <li>
 Ability to navigate SAP tables and understand functional relationships
 </li>
 <li>
 Advanced proficiency in SQL
 </li>
 <li>
 Professional experience using Snowflake for data transformation and modeling
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Comfortable working in a self-directed environment
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience with DBT (or strong SQL capability with willingness to learn)
 </li>
 <li>
 Exposure to Tableau or other business intelligence tools
 
 
 </li>
 </ul>
 The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
 
 
 We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability &amp; ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
 
 
 Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
 
 
 This job is not eligible for bonuses, incentives or commissions.
 
 
 Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
 
 
 By clicking &ldquo;Apply Today&rdquo; you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
</div>

Data Engineer

Honeywell

<div>
 
 Job Description
 
 
 
 As a Data Engineer, you will be part of a high-performing global team delivering AI- and data-driven solutions for Honeywell&rsquo;s industrial customers, with a focus on IoT and real-time data processing. In this role, you will architect and implement scalable data pipelines and platforms that enable advanced analytics and AI capabilities, including large-scale machine learning models, intelligent automation, and real-time inference. You will work closely with cross-functional engineering and product teams at the intersection of IoT telemetry and modern data technologies to develop reliable, high-impact industrial solutions.
 
 
 You will report directly to our Data Engineering Manager and you&rsquo;ll work out of our Atlanta, GA location on a Hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work 100% onsite M-F.
 
 
 
 Key Responsibilities
 
 
 
 
 Data Engineering &amp; AI Pipeline Development:
 
 
 
 <ul>
 <li>
 Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable data capture and processing for AI/ML workloads
 </li>
 <li>
 Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows
 </li>
 <li>
 Develop and optimize RAG (Retrieval Augmented Generation) systems, including vector databases, embedding pipelines, and efficient retrieval mechanisms
 </li>
 <li>
 Create robust data integration solutions that combine industrial IoT data streams with enterprise data sources for AI model training and inference
 
 
 </li>
 </ul>
 
 DataOps
 
 
 
 <ul>
 <li>
 Implement DataOps practices to ensure continuous integration and delivery of data pipelines powering AI solutions
 </li>
 <li>
 Design and maintain automated testing frameworks for data quality, data drift detection, and AI model performance monitoring
 </li>
 <li>
 Create self-service data assets enabling data scientists and ML engineers to access and utilize data efficiently
 </li>
 <li>
 Design and maintain automated documentation systems for data lineage and AI model provenance
 
 
 </li>
 </ul>
 
 Collaboration &amp; Innovation
 
 
 
 <ul>
 <li>
 Partner with ML engineers and data scientists to implement efficient data workflows for model training, fine-tuning, and deployment
 </li>
 <li>
 Drive continuous improvement in data engineering practices and tooling
 </li>
 <li>
 Establish best practices for data pipeline development and maintenance in AI contexts
 </li>
 <li>
 Drive projects to completion while working in an agile environment with evolving requirements in the rapidly changing AI landscape
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 YOU MUST HAVE
 
 
 
 <ul>
 <li>
 Minimum 3 years of experience in data engineering with a strong grasp of Change Data Capture (CDC), ELT/ETL workflows, streaming replication, and data quality frameworks
 </li>
 <li>
 Deep expertise in building scalable data pipelines using Databricks, including Unity Catalog and Delta Live Tables
 </li>
 <li>
 Strong hands-on proficiency with PySpark for distributed data processing and transformation
 </li>
 <li>
 Solid experience working with cloud platforms such as Azure, GCP, and Databricks, especially in designing and implementing AI/ML-driven data workflows
 </li>
 <li>
 Proficient in CI/CD practices using GitHub Actions, Bitbucket, Bamboo, and Octopus Deploy to automate and manage data pipeline deployments.
 
 
 </li>
 </ul>
 
 WE VALUE
 
 
 
 <ul>
 <li>
 Experience building solutions on RAG and Agentic architectures and working with LLM-powered applications
 </li>
 <li>
 Expertise in real-time data processing frameworks (Apache Spark Streaming, Structured Streaming)
 </li>
 <li>
 Knowledge of MLOps practices and experience building data pipelines for AI model deployment
 </li>
 <li>
 Experience with time-series databases and IoT data modeling patterns
 </li>
 <li>
 Familiarity with containerization (Docker) and orchestration (Kubernetes) for AI workloads
 </li>
 <li>
 Strong background in data quality implementation for AI training data
 </li>
 <li>
 Experience working with distributed teams and cross-functional collaboration
 </li>
 <li>
 Knowledge of data security and governance practices for AI systems
 </li>
 <li>
 Experience working on analytics projects with Agile and Scrum Methodologies
 
 
 </li>
 </ul>
 
 US PERSON REQUIREMENT
 
 
 
 Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
 
 
 
 Benefits Of Working For Honeywell
 
 
 
 In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here
 
 
 
 About Honeywell
 
 
 
 Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world&rsquo;s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en
 
 
 The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 4/3/2026
 
 
 
 About Us
 
 
 
 Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.
</div>

Codoxo

<div>
 
 PLEASE NOTE BEFORE APPLYING:
 
 
 
 
 
 
 CODOXO IS NOT ABLE TO OFFER SPONSORSHIP OR ACCOMMODATE ANY CANDIDATES THAT ARE CURRENTLY BEING SPONSORED NOW OR IN THE FUTURE
 
 
 
 
 
 
 
 
 This is for a Full Time Role with Codoxo, NOT C2C
 
 
 
 
 
 
 
 Of the $3.8T we spend on healthcare in the United States annually, about a third of it is estimated to be lost due to waste, fraud and abuse. Codoxo is the premier provider of artificial intelligence-driven solutions and services that help healthcare companies and agencies proactively detect and reduce risks from fraud, waste, and abuse and ensure payment integrity. Codoxo helps clients manage costs across network management, clinical care, provider coding and billing, payment integrity, and special investigation units. Our software-as-a service applications are built on our proven Forensic AI Engine, which uses patented AI-based technology to identify problems and suspicious behavior far faster and earlier than traditional techniques.
 
 
 
 
 
 We are venture backed by some of the top investors in the country, with strong financials, and remain one of the fastest growing healthcare AI companies in the industry.
 
 
 
 
 
 
 
 Position Summary
 
 
 :
 
 
 
 
 
 The Data Engineer supports the design, development, and maintenance of scalable data pipelines that power analytics, reporting, and machine learning initiatives. Working under the guidance of senior engineers, this role contributes to building reliable ETL workflows, optimizing database performance, and integrating structured and unstructured data sources.
 
 
 
 
 
 
 
 
 This position partners closely with data scientists, analysts, and cross-functional stakeholders to ensure timely, accurate, and secure data delivery. By strengthening foundational data infrastructure, the Junior Data Engineer helps advance analytics maturity, enable AI initiatives, and promote data-driven decision-making across the organization. The role consistently leverages AI tools to enhance productivity, code quality, and solution effectiveness.
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 :
 
 
 <ul>
 <li>
 Assist in designing, building, and maintaining scalable ETL/ELT data pipelines.
 </li>
 <li>
 Develop and optimize batch and streaming workflows using tools such as AWS Glue, Spark, and Airflow.
 </li>
 <li>
 Support data integration across multiple structured and unstructured data sources.
 </li>
 <li>
 Write clean, efficient, and maintainable code in Python, PySpark and SQL.
 </li>
 <li>
 Monitor, troubleshoot, and improve pipeline reliability and performance.
 </li>
 <li>
 Optimize database performance, particularly in PostgreSQL and cloud-based environments.
 </li>
 <li>
 Maintain and support AWS-based infrastructure (EC2, S3, Glue, etc.).
 </li>
 <li>
 Implement data validation, quality checks, and monitoring processes.
 </li>
 <li>
 Ensure compliance with data governance, security, and regulatory standards.
 </li>
 <li>
 Collaborate with data scientists and analysts to translate data requirements into scalable engineering solutions.
 </li>
 <li>
 Document data flows, architecture decisions, and technical processes.
 </li>
 <li>
 Use AI-assisted development tools to improve speed, testing coverage, and code quality.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related technical field (or equivalent practical experience).
 </li>
 <li>
 2+ years of experience in data engineering, software engineering, or related technical roles (internships included).
 </li>
 <li>
 Proficiency in Python, PySpark and SQL required.
 </li>
 <li>
 Familiarity with ETL/ELT concepts and data pipeline architecture.
 </li>
 <li>
 Experience working with relational databases such as PostgreSQL.
 </li>
 <li>
 Basic understanding of cloud computing concepts, preferably AWS.
 </li>
 <li>
 Exposure to distributed data processing frameworks such as Spark.
 </li>
 <li>
 Experience working in Linux environments and basic shell scripting.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to work collaboratively in a team environment under mentorship.
 </li>
 <li>
 Strong written and verbal communication skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience working with medical claims data strongly preferred.
 </li>
 <li>
 Hands-on experience with AWS services such as EC2, S3, Glue, and IAM.
 </li>
 <li>
 Experience with workflow orchestration tools such as Apache Airflow.
 </li>
 <li>
 Exposure to data warehousing concepts and dimensional modeling.
 </li>
 <li>
 Familiarity with CI/CD pipelines and version control (e.g., Git).
 </li>
 <li>
 Understanding of data security, governance, and compliance best practices.
 </li>
 <li>
 Experience supporting machine learning pipelines or analytics platforms.
 </li>
 <li>
 Demonstrated use of AI tools (e.g., code assistants, automation platforms) to improve development efficiency.
 </li>
 <li>
 Physical Requirements: Work is performed in an office environment (either in our office or work-from home) and requires the ability to work on a computer, operate standard office equipment, and work at a desk.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Accessibility Notice: If you need reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to careers@codoxo.com with the subject
 
 
 
 
 
 
 
 
 
 
 Benefits for You
 
 
 <ul>
 <li>
 Health, Dental, and Vision insurance with 100% employee premium coverage (Starts Day 1)
 </li>
 <li>
 Unlimited PTO
 </li>
 <li>
 Annual Professional Development stipend
 </li>
 <li>
 Annual home office stipend
 </li>
 <li>
 401K Match (after 90 days)
 </li>
 </ul>
 
 
 
 
 
 
 
 
 We are an Equal Opportunity Employer
 
 :
 
 
 Codoxo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment.
 
</div>

FanDuel

<div>
 
 THE POSITION
 
 
 
 Our roster has an opening with your name on it
 
 
 We are looking for a
 
 Data Engineer
 
 to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you&rsquo;ll own the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.
 
 
 The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, independently executing on projects, and continuously learning in a fast-paced environment.
 
 
 If you&rsquo;re excited by this challenge and want to work within a dynamic company, then we&rsquo;d love to hear from you.
 
 
 In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
 
 
 
 THE GAME PLAN
 
 
 
 Everyone on our team has a part to play
 
 
 Build &amp; Maintain Data Pipelines
 
 
 <ul>
 <li>
 Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
 </li>
 <li>
 Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
 </li>
 <li>
 Ensure data is reliable, accurate, and delivered in a timely manner.
 </li>
 <li>
 Lead projects to build or improve well-scoped data products.
 
 
 
 </li>
 </ul>
 Collaborate Across Teams
 
 
 <ul>
 <li>
 Work with data analysts, data scientists, and product managers to understand and clarify ambiguous requirements to deliver actionable data solutions.
 </li>
 <li>
 Translate business questions into engineering tasks and contribute to technical planning.
 </li>
 <li>
 Participate in code reviews, sprint planning, and retrospectives as part of an agile team.
 </li>
 <li>
 Contribute to team wide best practices.
 
 
 
 </li>
 </ul>
 Data Quality &amp; Operations
 
 
 <ul>
 <li>
 Monitor data pipelines and troubleshoot issues in a timely, systematic manner.
 </li>
 <li>
 Driving reliability and continuous improvement of data platforms and pipelines.
 </li>
 <li>
 Implement data quality checks and contribute to observability and testing practices.
 </li>
 <li>
 Document data sources, transformations, and architecture decisions to support long-term maintainability.
 
 
 
 </li>
 </ul>
 
 THE STATS
 
 
 
 What we're looking for in our next teammate
 
 
 <ul>
 <li>
 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
 </li>
 <li>
 Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
 </li>
 <li>
 Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
 </li>
 <li>
 Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
 </li>
 <li>
 Experience working with cloud-based data platforms (AWS, GCP, or Azure).
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience supporting BI, analytics, or data science teams.
 </li>
 <li>
 Familiarity with version control, CI/CD, and collaborative development workflows.
 </li>
 <li>
 Exposure to data governance, privacy, or compliance practices.
 </li>
 <li>
 Eagerness to learn new technologies and contribute to the growth of the team.
 
 
 
 </li>
 </ul>
 
 About Fanduel
 
 
 
 FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America&rsquo;s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry&rsquo;s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
 
 
 In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
 
 
 The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company&rsquo;s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
 
 
 FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
 
 
 
 Player Benefits
 
 
 
 We treat our team right
 
 
 We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO &amp; sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here:
 
 FanDuel Total Rewards
 
 . *Benefits differ across location, role, and level.
 
 
 FanDuel is an equal opportunities employer and we believe, as one of our principles states, &ldquo;We are One Team!&rdquo;. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
 
 
 
 
 The applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
 
 
 
 
 
 
 FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
 
 
 
 
 
 
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
 
 
 
 
</div>

<div>As a Senior Data Engineer, you will be part of a high-performing global team delivering advanced AI and data solutions for Honeywell&rsquo;s industrial customers, with a focus on IoT and real-time data processing. In this role, you will design and implement scalable data architectures and pipelines that enable next-generation AI capabilities, including large-scale machine learning models, intelligent automation, and real-time analytics. You will work closely with cross-functional teams to transform high-volume IoT telemetry into reliable, actionable insights that support Honeywell&rsquo;s connected industrial solutions. 
 
You will report directly to our Data Engineering Manager and you&rsquo;ll work out of our Atlanta, GA location on a Hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work 100% onsite M-F. 
KEY RESPONSIBILITIES
Data Engineering &amp; AI Pipeline Development:
<ul><li>Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable data capture and processing for AI/ML workloads
</li><li>Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows
</li><li>Develop and optimize RAG (Retrieval Augmented Generation) systems, including vector databases, embedding pipelines, and efficient retrieval mechanisms
</li><li>Lead the architecture and development of scalable data platforms on Databricks
</li><li>Drive the integration of GenAI capabilities into data workflows and applications
</li><li>Optimize data processing for performance, cost, and reliability at scale
</li><li>Create robust data integration solutions that combine industrial IoT data streams with enterprise data sources for AI model training and inference
</li></ul>DataOps:
<ul><li>Implement DataOps practices to ensure continuous integration and delivery of data pipelines powering AI solutions
</li><li>Design and maintain automated testing frameworks for data quality, data drift detection, and AI model performance monitoring
</li><li>Create self-service data assets enabling data scientists and ML engineers to access and utilize data efficiently
</li><li>Design and maintain automated documentation for data lineage and AI model provenance
</li></ul>Collaboration &amp; Innovation:
<ul><li>Partner with ML engineers and data scientists to implement efficient data workflows for model training, fine-tuning, and deployment
</li><li>Mentor team members and provide technical leadership on complex data engineering challenges
</li><li>Establish data engineering best practices, including modular code design and reusable frameworks
</li><li>Drive projects to completion while working in an agile environment with evolving requirements in the rapidly changing AI landscape</li></ul></div>
 <div>YOU MUST HAVE
<ul><li>Minimum 5 years of experience building production data pipelines in Databricks processing TB scale data
</li><li>Extensive experience implementing medallion architecture (Bronze/Silver/Gold) with Delta Lake, Delta Live Tables (DLT), and Lakeflow for batch and streaming pipelines from
</li><li>Event Hub or Kafka sources
</li><li>Strong hands-on proficiency with PySpark for distributed data processing and transformation
</li><li>Strong experience working with cloud platforms such as Azure, GCP and Databricks, especially in designing and implementing AI/ML-driven data workflows
</li><li>Proficient in CI/CD practices using Databricks Asset Bundles (DAB), Git workflows, GitHub Actions, and understanding of DataOps practices including data quality testing and observability
</li><li>Hands-on experience building RAG applications with vector databases, LLM integration, and agentic frameworks like LangChain, LangGraph
</li>Natural analytical mindset with demonstrated ability to explore data, debug complex distributed systems, and optimize pipeline performance at scale 
<li>
</li></ul> 
WE VALUE
<ul><li>Experience building RAG and agentic architecture solutions and working with LLM-powered applications
</li><li>Expertise in real-time data processing frameworks (Apache Spark Streaming, Structured Streaming)
</li><li>Knowledge of MLOps practices and experience building data pipelines for AI model deployment
</li><li>Experience with time-series databases and IoT data modeling patterns
</li><li>Familiarity with containerization (Docker) and orchestration (Kubernetes) for AI workloads
</li><li>Strong background in data quality implementation for AI training data
</li><li>Experience working with distributed teams and cross-functional collaboration
</li><li>Knowledge of data security and governance practices for AI systems
</li>Experience working on analytics projects with Agile and Scrum Methodologies 
<li>
</li></ul>US PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization. 
 
BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. 
 
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. 
 
THE BUSINESS UNIT
Honeywell Connected Enterprise (HCE) is the software division of Honeywell with a strategic focus on digitization, sustainability, and OT Cybersecurity SaaS offerings and solutions. HCE was established to leverage Honeywell&rsquo;s domain expertise and lead the transition into a cutting-edge industrial software company. Since our inception in 2018, HCE established the category of intelligent operations and built a new platform born out of decades of operational data and insights, uniting real-time data across assets, people, and processes into a system of record for a 360-degree view. This is our flagship offering - Honeywell Forge. We are a global team of thousands of innovators with expertise spanning industrial operations, software engineering, data science, artificial intelligence, and process engineering. We are paving the way for our customers to grow responsibly. We believe the future is what we make it. As a Honeywell Futureshaper, you are a part of something bigger. You can work with highly capable people to make the world a better place and become the best you. After all, we are not imagining the future; we&rsquo;re building it. 
 
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 4/7/2026</div>
 <div>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.</div>

Sr Data Engineer

Warner Bros. Discovery

<div>Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.
Who We Are&hellip;
When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what&rsquo;s next&hellip;
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.
To see what it&rsquo;s like to work at CNN, follow @WBDLife on Instagram and X!<h2 class="jobSectionHeader">
About the Team</h2>
With deep domain expertise, advanced technical capabilities, and a proven track record of successful collaborations, the AI Enablement &amp; Machine Learning team at CNN is accelerating our digital transformation through strategic applications of ML and AI technologies. Our current products include popular, related and personalized content recommendations, contextual ad targeting, and site search-serving millions of CNN users via CNN web and mobile apps. This year we are partnering with teams across the company to democratize AI at CNN. Our &quot;multiplier&quot; approach allows our team to have outsized organizational impact by providing domain expertise, enabling teams, collaborating deeply, and building shared infrastructure.<h2 class="jobSectionHeader">
About the Job/Responsibilities</h2>
The team is composed of multiple squads: the platform squad along with cross-functional squads that leverage the platform to develop products. As a senior engineer on our platform squad, you will work on a team of 4+ engineers and optimize experimentation, development, and production operations for our ML and AI-powered experiences. You will build and maintain pipelines and APIs, provide developer tooling, and partner on integrations.
Here are some of the key challenges our team will tackle this year:<ul><li>
Optimize Site Performance: Dynamically deliver personalized content alongside cached assets, improving load times and enhancing user experience with features like page-level deduplication</li><li>
Enhance Data Access: Continue to evolve our pipelines to ensure the timeliest access to instrumentation and content data for feature and model development</li><li>
Accelerate Experimentation: Partner with our Data &amp; Analytics organization to improve the tooling and coordination involved in A/B testing</li><li>
Support Engineering with Foundational Models: As tools like Bedrock emerge, enhance our platform to support them, ensuring we&rsquo;re prepared for the next generation of AI-powered applications</li></ul>
Here are some of the things you can expect to do on a day-to-day basis:<ul><li>
Work closely with ML engineering to make data easily accessible and understandable</li><li>
Ensure the reliability and minimize the latency of data delivery for ML use cases</li><li>
Create transparency in our data pipelines with comprehensive telemetry</li><li>
Develop and enforce data engineering, security, data quality standards through automation</li><li>
Collaborate with other engineers to develop and enhance core capabilities, infrastructure, and architecture</li><li>
Leverage vended and open-source cloud technologies to reduce maintenance costs and improve efficiencies, ensuring our products remain profitable</li><li>
Ensure that code is readable, maintainable, scalable, observable, and resilient</li><li>
Independently own and execute on projects within your squad</li><li>
Collaborate effectively with engineers across the team to deliver projects scale and integrate ML and AI features into the website, mobile app, and editorial tools</li><li>
Contribute to the design of components and systems and represent your thoughts in architecture reviews</li><li>
Be responsive to incidents and participate effectively in incident retrospectives</li><li>
Champion improvements to developer experience, integrations, and testing processes</li><li>
Support, coach, mentor, and provide valuable feedback to junior engineers on your squad</li></ul>
Here is the approach we value:<ul><li>
Author, review, and optimize production-quality code that adheres to industry standards and best practices (IaC, CICD, etc.)</li><li>
Demonstrate a passion for software engineering, with a strong sense of responsibility for the code you and your team write</li><li>
Take ownership of issues and be a strong advocate for your team and the products</li><li>
Embrace failure as a learning opportunity&mdash;use research and experimentation to ultimately choose the best solutions that meet company goals</li><li>
Follow a progressive development methodology, moving from proof-of-concept to prototype to production release</li><li>
Enhance the effectiveness of your squad, the team, and our partners by sharing your knowledge, communicating about complex technologies and problems in simple terms, and driving technical decisions</li><li>
Collaborate across functions, squads, teams, and organizations to best serve our users</li></ul><h2 class="jobSectionHeader">
The Essentials</h2>
We&rsquo;re looking for someone with:<ul><li>
5+ years progressively complex experience designing, building, and shipping products</li><li>
3+ years experience in data engineering roles or backend roles with a data focus</li><li>
2+ years experience building data pipelines with IaC</li><li>
2+ years experience with Python</li><li>
2+ years experience in one of Golang, Java, C++</li><li>
2+ years experience with Kafka or equivalent</li><li>
Proficiency with Postgres or equivalent</li><li>
Proficiency with DynamoDB or equivalent</li><li>
Proficiency with Terraform or equivalent</li><li>
Deep understanding of common software data structures and algorithms and experience in modern data engineering technologies and best practices</li><li>
A proven track record of building real-time products for web scale that are highly available and performant</li><li>
A collaborative mindset, understanding that great results come from teamwork and a positive culture</li></ul><h2 class="jobSectionHeader">
The Nice to Haves</h2><ul><li>
Experience with ML feature stores</li><li>
Practical experience developing and maintaining ML data pipelines and tooling</li><li>
Understanding of experimentation frameworks and A/B testing methodologies</li><li>
Practical experience with recommendations, search and/or personalization</li></ul>
How We Get Things Done&hellip;
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.</div>

Senior Data Engineer

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><div> 
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader">Role description</h3>
<div>Data Engineer &mdash; Customer Data Platform

Lead I - Data Engineering 


Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.

Visit us at UST.com. 


You Are:

We are seeking a Data Engineer to build and maintain the foundational data pipelines that power our Customer Data Platform (CDP) &mdash; the authoritative source of truth for customer data across the entire US adult population. 


The opportunity:
<ul><li> Develop and maintain batch and streaming data pipelines using Azure Data Factory (ADF), Databricks, and Spark that ingest customer data from dozens of source systems into CDP</li></ul>
<ul><li> Build data ingestion frameworks from APIs, event streams (Event Hub/Kafka), and enterprise databases &mdash; ensuring every customer touchpoint feeds into the unified profile</li></ul>
<ul><li> Perform data transformation, cleansing, and enrichment using Python and Spark to maintain the accuracy and completeness that an authoritative source of truth demands</li></ul>
<ul><li> Implement data validation and quality checks at every pipeline stage &mdash; catching anomalies, duplicates, and schema drift before they erode trust in customer profiles</li></ul>
<ul><li> Work with ADLS, Snowflake, SQL Server, and Cosmos DB to store and process customer data across bronze, silver, and gold layers</li></ul>
<ul><li> Support data modeling and schema design under guidance from senior engineers, ensuring alignment with CDP's unified customer profile standards</li></ul>
<ul><li> Build curated data layers that serve analytics, reporting, personalization, and AI/ML use cases with production-ready, well-documented datasets</li></ul> 


This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. 
What you need:
<ul><li> Bachelor's degree in Computer Science, Engineering, or related field</li></ul>
<ul><li> 3+ years of experience in data engineering or related roles</li></ul>
<ul><li> Experience working in cloud-based data platforms (Azure preferred)</li></ul>
<ul><li> Experience with Agile development methodologies</li></ul>
<ul><li> Technical Skills</li></ul>
<ul><li> Programming: Python (required), SQL, basic Spark (PySpark)</li></ul>
<ul><li> Azure stack: ADF, ADLS, Databricks (working knowledge)</li></ul>
<ul><li> Databases: Snowflake, SQL Server, Cosmos DB (basic to intermediate)</li></ul>
<ul><li> Solid understanding of ETL/ELT concepts and data pipeline design patterns</li></ul>
<ul><li> Hands-on knowledge with APIs and data integration patterns for diverse source systems</li></ul>
<ul><li> Experience with data quality checks, logging, monitoring, and ing</li></ul>
<ul><li> Understanding of data lineage, metadata management, and how data supports downstream AI/ML workflows</li></ul>
<ul><li> Knowledge of CI/CD and orchestration tools like Control-M</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong analytical and problem-solving skills with attention to data accuracy</li></ul>
<ul><li> Ability to work with large datasets and distributed systems at population scale</li></ul>
<ul><li> Eagerness to learn and adapt to emerging AI and data technologies</li></ul>
<ul><li> Understanding of why data quality and timeliness matter for customer-facing experiences</li></ul> 


Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Georgia

Compensation Range: $70,000-$105,000 


Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws. 


What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions. 


Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships. 
<div></div>
<div>
Equal Employment Opportunity Statement</div><div> 
UST is an Equal Opportunity Employer.</div> 
<div></div>

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div> 
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader">Skills</h3>
<div>data engineering,machine learning,data modelling,ensemble approaches,ai/ml engineering</div>
<h3 class="jobSectionHeader">Benefits</h3>
<h3 class="jobSectionHeader">Compensation range: $ 70,000.00 to 105,000.00 per year</h3></div></div></div>
 <div><h3 class="jobSectionHeader">About UST</h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Data Engineer — Customer Data Platform

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