Data engineer jobs in Ocoee, FL

Data Architect Duration: 6 Months Responsible for enterprise-wide data design, balancing optimization of data access with batch loading and resource utilization factors. Knowledgeable in most aspects of designing and constructing data architectures, operational data stores, and data marts. Focuses on enterprise-wide data modelling and database design. Defines data architecture standards, policies and procedures for the organization, structure, attributes and nomenclature of data elements, and applies accepted data content standards to technology projects. Responsible for business analysis, data acquisition and access analysis and design, Database Management Systems optimization, recovery strategy and load strategy design and implementation. Essential Position Functions: Evaluate and recommend data management processes. Design, prepare and optimize data pipelines and workflows. Lead implementations of secure, scalable, and reliable Azure solutions. Observe and recommend how to monitor and optimize Azure for performance and cost-efficiency. Endorse and foster security best practices, access controls, and compliance standards for all data lake resources. Perform knowledge transfer about troubleshooting and documenting Azure architectures and solutions. Skills required: Deep understanding of Azure synapse Analytics, Azure Data Factory, and related Azure data tools Lead implementations of secure, scalable, and reliable Azure solutions. Observe and recommend how to monitor and optimize Azure for performance and cost efficiency. Expertise in implementing Data Vault 2.0 methodologies using Wherescape automation software. Proficient in designing and optimizing fact and dimension table models. Demonstrated ability to design, develop, and maintain data pipelines and workflows. Strong skills in formulating, reviewing, and optimizing SQL code. Expertise in data collection, storage, accessibility, and quality improvement processes. Endorse and foster security best practices, access controls, and compliance standards for all data lake resources. Proven track record of delivering consumable data using information marts. Excellent communication skills to effectively liaise with technical and non-technical team members. Ability to document designs, procedures, and troubleshooting methods clearly. Proficiency in Python or PowerShell preferred. Bachelor's or master's degree in computer science, Information Systems, or other related field. Or equivalent work experience. A minimum of 7 years of experience with large and complex database management systems.

Senior Software Engineer - Contract - Remote in Orlando, FL - $80.00 - $92.00/hr The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position. Applicants must be legally authorized to work in the United States. Sponsorship not available. Our client is seeking a Senior Software Engineer in Orlando, FL Role Description • Conceive, design, develop, test, and implement software components, fixes, improvements, and/or new systems and applications • Contribute to the design and implementation of custom applications and integrations, cloud services, and software systems • Lead small projects encompassing analysis, design, programming, debugging, and modification of software enhancements and/or new products used in local, networked, cloud-based, or Internet-related computer programs from planning to implementation • Communicate effectively with technical and business stakeholders, both on- and off-shore, to identify system requirements or needs and project objectives • Support team members in delivering technology solutions that meet business needs and follow best engineering practices. • Participate in regular code reviews and help maintain coding standards, doing performance testing and debugging as needed, in order to improve platforms and software features • Provide input on technical direction and help assess the quality of deliverables and approaches to manage dependencies. • Work independently to deliver assigned tasks within agreed timelines, adapting as needed to changing business requirements • Practice agile development in a collaborative, dynamic team environment. • Follow programming and style guidelines to ensure high-quality, secure code • Create and maintain documentation, procedures, and work instructions as needed. • Demonstrate creativity in evaluating business needs and suggesting technical solutions. • Stay up to date and leverage emerging technologies such as Generative AI/helper tools like Github Copilot Skills & Requirements 5+ years of related software engineering work experience in an agile environment Advanced level knowledge in Java with a proactive demeanor towards continuous learning and skill development, and an interest in mastering emerging data engineering tools and methodologies Advanced level knowledge of Microservices, RESTful Web Services, and/or APIs. Bachelors degree in engineering would be preferred Within the Java space, people that have worked with google cloud - if they have used google app engine, google Kubernetes, any of these tools would be beneficial for this role Benefits/Other Compensation This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit). Why Hays? You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it. Nervous about an upcoming interview? Unsure how to write a new resume? Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting. Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is ‘do the right thing'. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us. In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text ************. Drug testing may be required; please contact a recruiter for more information. #LI-DNI

Join an innovative technology-driven organization as a Senior Software Developer in Winter Garden, FL. This direct hire position offers the opportunity to take ownership of complex software architecture, lead modernization initiatives, and contribute to the development of a high-performance point cloud processing platform. Our client is seeking a highly skilled engineer passionate about optimization, scalability, and performance. Company Profile: Known for innovation and technical excellence, the company supports a range of industries including geospatial, manufacturing, and engineering. The environment is highly collaborative and technology-forward, offering opportunities to shape the next generation of performance-driven applications. Senior Software Developer Role: As the Senior Software Developer, you'll lead modernization and high-performance development efforts across the company's core software platform. You will play a critical role in evolving existing C++ and C# systems to leverage the latest performance standards and GPU computing techniques Lead the modernization and refactoring of legacy C++ systems, upgrading to C++20 for scalability, performance, and maintainability Design, implement, and optimize a high-performance engine for processing and rendering point cloud datasets exceeding 1 billion points Architect and optimize spatial data structures (Octrees, k-d trees) to accelerate spatial queries and rendering Build new features and tools for the company's point cloud software suite, from concept through deployment Apply GPU programming techniques (e.g., Boost. Compute or equivalent) to maximize computational efficiency Collaborate with a seasoned development team through code reviews, technical discussions, and best practice initiatives Diagnose and resolve performance bottlenecks, rendering issues, and computational errors to ensure reliability and speed Senior Software Developer background Profile: 5+ years of professional software development experience Expert proficiency in modern C++ (C++20) Strong experience with C# and .NET 4.8 Framework Hands-on experience with GPU programming (Boost.Compute or similar) Solid foundation in linear algebra (vectors, matrices, transformations) Proficiency with Git and modern version control workflows Proven ability to architect complete software solutions independently Strong knowledge of spatial data structures (Octrees, k-d trees) a plus Features and Benefits: medical, dental, and vision coverage. 401(k) plan with employer match PTO and paid holidays

Required: Highly experienced in their ability to troubleshoot difficult technical issues with ease Strong object-oriented programming skills in Java/JavaScript Experience working with dynamic HTML components: AJAX, JavaScript, AngularJS, CSS, XML, HTML, XHTML Working knowledge of the components in a web applications stack Experience with relational databases such as MySQL Excellent written and verbal communication skills with the ability to clearly articulate solutions to complex technical problems Strong personal commitment to quality and customer service Ability to work with high-value customer administrators and developers Understanding of basic networking and system administration. We value a work-life balance while also collaborating through consistent presence in the office

Candidates will be disqualified if the following criteria are not met: *PLEASE READ JOB CRITERIA BEFORE APPLYING* Employment Type: No C2C (Corp-to-Corp) or C2H (Contract-to-Hire) arrangements. W2 contract only. No referral fees will be entertained. Work Authorization: Must be a U.S. Citizen or Green Card holder. Local in Orlando, FL or 1 hour drive to Orlando Strong programming skills in Python, with additional experience in JavaScript, C, and C++. Hands-on experience with AI/ML development, backend tooling, and automation pipelines. Proficiency with SQL and database technologies (relational and NoSQL) for data modeling and backend integration. Familiarity with CI/CD pipelines, deployment automation, and scripting. Experience: • Strong programming skills in Python, with additional experience in JavaScript, C, and C++. • Hands-on experience with AI/ML development, backend tooling, and automation pipelines. • Proficiency with SQL and database technologies (relational and NoSQL) for data modeling and backend integration. • Familiarity with CI/CD pipelines, deployment automation, and scripting. • Understanding of backend architectures, distributed systems, and performance optimization. • Strong problem-solving and debugging skills. • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Or equivalent combination of education and experience. Responsibilities: • Design, develop, and maintain backend tools, automation scripts, services, and automation pipelines to support AI and data-driven applications. • Implement monitoring, logging, and database management to ensure performance and reliability. • Collaborate with teams, document best practices, and maintain security and compliance standards. • Diagnose and resolve backend, database, and automation issues. • Stay current with backend, AI, and automation technologies to drive scalability and efficiency. • Understand and actively participate in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training and team member involvement activities. • Perform other duties as assigned.

Harvey Nash USA has been engaged to find a talented Technical Support Engineer - Integrations for an Enterprise SaaS/Tech Client. Integrations gets a mix of issue types that typically center around there broad topics: • Email Configuration and Maintenance (Not just Outlook App) • SSO/Authentication (Candidate should Know who to configure the technology and how this works internally, NOT just assign or grant user/permissions). • Web Services • Scripting /Rest API • Database issues Non-negotiable items that a candidate must have: • Web Services (SOAP/REST), Networking fundamentals, scripting and familiarity with a programing language • SSO and authentication, Email protocols and servers Job Title: Technical Support Engineer - Integrations Location: Orlando, FL (Hybrid - Flexible: Weekly on Wednesday and Thursday at the office) Duration: 12 Months Contract Overview: • Provides technical support to administrators, technicians, and product support personnel who are diagnosing, troubleshooting, repairing and debugging complex computer systems, complex software, integrations, or networked and/or wireless systems. • Responds to situations where first-line product support has failed to isolate or fix problems in malfunctioning applications and software. Troubleshoots and diagnoses design, reliability and maintenance problems or bugs to platform engineering/software engineering. What you will do in this role: • Be a Customer Advocate providing support to users/administrators of our platform • Understand our platform, cloud technologies and troubleshooting practices to ensure successful resolution of challenging technical situations • Resolve technical cases created by customers looking for help to understand or troubleshoot unexpected behaviors or answer technical questions about the Client software and platform. • Gain an understanding of the Client platform and all core functionality. • Analyze data with a view to isolate the potential cause of the issue. • Involve others to accomplish personal and group goals. A reasonable, good faith estimate of the minimum and maximum hourly wage for this position is $35.71/hr. on W2. Benefits will be available, and details are available at the following links: Benefits Details: *********************************************** 401K Plan: Our employees work hard, which is why Harvey Nash is proud to contribute to their hard-earned savings with a 401(k) retirement plan that includes a 25% company match on all deferrals. We also offer a Roth 401(k) for even more flexibility. Employees 21 years of age or older, and have completed 3 months of service, are eligible to participate.

The Disney Decision Science + Integration (DDSI) is a consulting team that supports clients across The Walt Disney Company, including Disney Experiences (Parks & Resorts worldwide, Cruise Line, Consumer Products, etc.), Disney Entertainment (ABC, The Walt Disney Studios, Disney Theatrical, Disney Streaming Services, etc.), ESPN, and Corporate Finance. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. We develop, analyze, and execute strategies and improve the value proposition for our Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. What You Will Do You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and client teams on critical projects. Other activities include planning, estimating, design, development, testing, production rollout and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders. Required Qualifications & Skills 7+ years overall experience in a data engineering development capacity using a multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion Experience with a variety of GenAI models, tools, and concepts 3+ years using, designing and building relational databases (preferably Snowflake or PostgreSQL) 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4 Multiple years of experience with ELT/ETL data pipeline development and maintenance Multiple years of shown experience and expertise using SQL and Python Experience using containerization technologies such as Docker or Kubernetes Knowledgeable on cloud architecture and product offerings, preferably AWS Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms Experience translating project scope and high-level requirements into technical data engineering tasks Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes Experience collaborating with multiple project teams in a fast-paced environment Experience with defining and estimating level-of-effort data engineering activities Experience with project and sprint planning Ability to communicate technical concepts and solutions to non-technical team members Experience designing and building data structures to support requirements Preferred Qualifications Experience leading development of GenAI based systems including model selection, pipeline orchestration and deployment strategies Experience defining GenAI architectures Knowledgeable with Disney Parks attendance, reservations and/or products Experience with cloud based technologies, preferably AWS EMR, EC2, and S3 Experience with advanced Snowflake offerings such as Snowpark, Data Exchange, Data Marketplace and Snowpipe Education Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience Master's degree preferred in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience #DisneyTech #DisneyAnalytics ********************** Job Posting Segment: Corporate Strategy Job Posting Primary Business: Decision Science & Integration Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Lake Buena Vista, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-09-30

We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place. Job Description Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Qualifications Qualifications · Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) · At least 2 years' of experience in quantitative analytics or data modeling · Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms · Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have. · Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks) Additional Information Responsibilities · Analyze raw data: assessing quality, cleansing, structuring for downstream processing · Design accurate and scalable prediction algorithms · Collaborate with engineering team to bring analytical prototypes to production · Generate actionable insights for business improvements tion will be kept confidential according to EEO guidelines.

We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place. Job Description Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Qualifications Qualifications · Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) · At least 2 years' of experience in quantitative analytics or data modeling · Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms · Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have. · Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks) Additional Information Responsibilities · Analyze raw data: assessing quality, cleansing, structuring for downstream processing · Design accurate and scalable prediction algorithms · Collaborate with engineering team to bring analytical prototypes to production · Generate actionable insights for business improvements tion will be kept confidential according to EEO guidelines.

OUC - The Reliable One is presently seeking a Data Engineer to join the Transformation division. At OUC, we don't just work - we're building a bright future of innovation and transformation for future generations. This is a hybrid position offering two remote workdays per week. Must be onsite Tuesdays and Thursdays. We are looking for a highly skilled and innovative profession to structure, organize, and optimize scalable data pipelines, cloud architecture, and business intelligence. This role will translate complex business needs into secure, high performance data solutions. If you thrive at the intersection of data engineering, cloud technology, and advanced analytics, this is an opportunity to make a measurable impact. OUC is an industry leader and the second largest municipal utility in Florida committed to innovation, sustainability, and our community. OUC's mission is to provide exceptional value to our customers and community by delivering sustainable and reliable services and solutions. Join a team of visionary Change Agents, Strategists, and Community Ambassadors who understand the vital role of diverse experiences in powering creativity and industry transformation. At OUC, each position contributes to the success and achievement of our goals. Click here to learn more about what we do. The ideal candidate will have: Bachelor's Degree in Information Technology, Computer Science, Computer Engineering, Management Information Systems, Mathematics, Statistics or related field of study, from an accredited college or university. Master's Degree in Data Engineering, Information Systems, or related field of study from an accredited college or university (preferred.) Minimum of three (3) years of experience in SQL or Python Programming, ELT/ELT processes, data warehousing & cloud, data modeling and architecture, data security and governance, and visualization and reporting. Experience with cloud infrastructure components as well as self service analytics platforms. OUC offers a very competitive compensation and benefits package. Our Total Rewards package includes to cite a few: Competitive compensation Low-cost medical, dental, and vision benefits and paid life insurance premiums with no probationary period. OUC's Hybrid Retirement Program includes a fully-funded cash balance account, defined contribution with employer matching along with a health reimbursement account Generous paid vacation, holidays, and sick time Paid parental leave Educational Assistance Program, to include tuition reimbursement, paid memberships in professional associations, paid conference and training opportunities Wellness incentives and free access to all on-site OUC fitness facilities Access to family-oriented recreational areas Paid Conference and Training Opportunities Free downtown parking Hybrid work schedule Click here to view our Benefits Summary. Salary Range: $99,981.65 - $124,977.370 annually - commensurate with experience Location Gardenia - 3800 Gardenia Ave, Orlando, FL 32839 Please see below a complete Job description for this position. Job Purpose: Performs ETL/ELT processes, designs data models, and implements multidimensional data architectures to optimize data processing for analytics, reporting, business intelligence, and operational decision-making. Develops and enhances scalable data pipelines, integrations, and storage solutions across on-premises and cloud environments, ensuring high-performance, reliable data accessibility.Builds and maintains AI/ML-ready data infrastructure, enabling seamless integration of machine learning models and automated analytics workflows. Supports feature engineering, model training, and inference to enhance predictive and prescriptive analytics capabilities. Executes query auditing, code reviews, quality assurance (QA), and data governance to uphold best practices in security, performance, and compliance, ensuring integrity, reliability, and accessibility of data assets. Translates business requirements into technical designs, optimized data flows, and infrastructure solutions, ensuring alignment with organizational objectives. Collaborates with data scientists, ML engineers, analysts, and IT teams to streamline data workflows, troubleshoot performance bottlenecks, and maintain scalable architectures for structured and unstructured data. Generates effort assessments for data engineering projects, defining Work Breakdown Structures (WBS) to scope and estimate tasks, timelines, and resource requirements. Supports project planning by forecasting development efforts, infrastructure needs, and optimization strategies, ensuring efficiency in execution and delivery. Primary Functions: Data Engineering & Integration Gather and interpret business requirements, translating them into optimized data pipelines, models, and infrastructure solutions that support BI, analytics, and AI-driven decision- making. Perform data modeling using foundational and modern principles, methodologies, and automation strategies to structure data for predictive analytics, reporting, and AI-driven decision-making. Implement secure, high-performance integrations between on-premises and cloud-based storage solutions, optimizing data accessibility for BI, analytics, and operational insights. Develop and maintain scalable ETL/ELT pipelines for efficient data extraction, transformation, and loading, ensuring integration with AI/ML workflows or Data Analytics reporting layer. Ensure real-time and batch processing capabilities, supporting streaming, and event-driven architectures, while implementing robust data access management solutions to facilitate secure, compliant data accessibility for business intelligence (BI), analytics, and operational decision-making. Data Warehousing & Cloud Infrastructure Develop and implement hybrid cloud and on-prem data storage solutions with future-proof scalability and security. Design and optimize multidimensional data models, ensuring efficient storage and retrieval for AI-assisted data science, analytics and reporting. Implement star and snowflake schemas, enhancing analytical performance and query optimization. Utilize data visualization, AI-powered analytics, and business intelligence tools to structure data for strategic for decision-making and automation. Problem-Solving, Query Auditing, Optimization & Quality Assurance (QA) Review and audit more complex SQL queries and ETL/ELT pipelines, ensuring efficiency, compliance, and cloud and AI-readiness, adhering to best practices and established standards. Evaluate data engineering scripts and transformation logic, ensuring integrity, scalability, and security of structured and unstructured datasets. Conduct troubleshooting for advanced data inconsistencies, optimizing high-performance analytics pipelines across hybrid data environments, leveraging cloud tools or AI-enhanced tuning when needed. Collaborate with data scientists, reporting analysts, programmers, business systems analysts, solution architects, and IT teams to deliver reliable data solutions. Identify opportunities and recommend automation, AI-driven improvements, cloud efficiency options, and other process and performance improvement in the data engineering process. General Define and generate effort assessments for data engineering tasks, establishing work breakdown structures (WBS) to scope, estimate, and track project execution. Forecast development efforts, infrastructure requirements, and reporting, Cloud, AI/ML data processing needs, ensuring efficiency and resource allocation. Support Agile methodologies, aligning engineering workflows with business strategy and evolving project demands. Apply data governance, AI-augmented security, privacy protocols, and compliance best practices. Adhere to ethical guidelines and legal regulations governing the collection and use of data, including and not limiting to closed-source intelligence, open-source intelligence data, and AI- generated insights. Maintain security and confidentiality of sensitive information and data; Perform other duties as assigned. Technical Requirements: Programming languages savvy & Query Optimization expert. Expertise in SQL, Python, and Scala, ensuring optimized query performance for structured and unstructured data processing. Proficiency in two or more of the following languages for diverse technical implementations: JavaScript (Snowpark), DAX, Power Query (M), WDL, Power Fx, C#, Perl, VBA, R, Julia. Strong understanding of big data frameworks and distributed computing for scalable analytics. ETL/ELT Tools: Proficiency in ETL/ELT tools, including Talend, Dataiku, Alteryx, Snowpipes, Azure Data Factory, SSIS. Experience in workflow automation using Power Automate and cloud-based integration platforms. Expertise in real-time and batch processing, supporting streaming data and event-driven architectures. Data Warehousing & Cloud: Strong knowledge of cloud-native data solutions, including Snowflake, Databricks, AWS S3, Azure Synapse, and relational databases like Oracle, MySQL. Proficiency in VM-based deployments using Azure VMs, AWS EC2, Google Compute Engine for scalable data processing. Familiarity with IBM Framework for structured data modeling, governance, and analytics. Experience in data lakes, warehouse optimization, and hybrid cloud architectures for scalable analytics. Data Modeling & Architecture: Expertise in data modeling methodologies: Inmon, Kimball, Data Vault, ensuring robust analytics solutions. Proficiency in IBM Framework, Dataiku, Alteryx, Cognos Analytics, Power BI, and DBeaver to structure enterprise-wide data solutions. Ability to design AI/ML-ready architectures, supporting predictive and prescriptive analytics. Data Security & Governance: Strong knowledge of role-based access control (RBAC), encryption strategies, data lineage, and compliance frameworks. Familiarity with GDPR, CCPA, HIPAA, NIST, BCSI, and security protocols for data governance and regulatory compliance. Ability to implement industry best practices for secure data management in cloud and VM environments. Visualization & Reporting: Proficiency in Power BI, Tableau, and Cognos Analytics, enabling data-driven decision-making through interactive dashboards. Strong critical thinking and problem-solving capabilities for optimizing insights. Ability to translate business needs into technical solutions, ensuring structured data workflows. Business Alignment & Project Estimation Ability to effectively communicate insights to non-technical stakeholders, gather and translate business requirements into scalable data architectures. Expertise in Work Breakdown Structures (WBS), effort estimation, and resource planning for efficient project execution. Strong collaboration skills with data scientists, ML engineers, analysts, and IT teams. Strong critical thinking and problem-solving capabilities. Business acumen with a curiosity for data-driven decision-making. Ability to rapidly learn and adapt to evolving analytics and reporting tools. Ability to interpret and analyze data. Ability to make arithmetic computations using whole numbers, fractions and decimals, and compute rates, ratios, and percentages; Ability to use Microsoft Office Suite (Outlook, Excel, Word, etc.) and standard office equipment (computer, telephone, fax, copier, etc.) Education/ Certification/ Years of Experience Requirements: Bachelor's Degree in Information Technology, Computer Science, Computer Engineering, Management Information Systems, Mathematics, Statistics, or a related field of study from an accredited college or university. In lieu of a degree, equivalent combination of education, certifications, and experience may be substitutable on a 1:1 basis; Master's Degree in Data Engineering, Information Systems, Computer Science, Mathematics or Statistics, or a related field of study from an accredited college or university (preferred). Minimum of 3 years of experience in SQL or Python programming, ETL/ELT processes, data warehousing & cloud, data modeling and architecture, data security and governance, and visualization and reporting. Certifications (Preferred): SnowPro Advanced: Data Engineer Databricks Certified Data Engineer IBM Certified Data Engineer - Cognos Analytics; IBM Data Engineering Professional Certificate (Coursera) Cloudera Certified Professional (CCP) Data Engineer Google Cloud Professional Database Engineer Microsoft Azure Data Engineer Associate Snowflake SnowPro Certification SnowPro Associate: Platform Certification; SnowPro Core Certification; SnowPro Specialty: Snowpark; SnowPro Specialty: Native Apps; SnowPro Advanced: Architect IBM Certified Solution Architect - Cloud Pak for Data AWS Certified Data Analytics; AWS Certified Solutions Architect - Professional Microsoft Certified: Azure Solutions Architect Expert TOGAF 9 Certification Google Data Engineering Professional Certificate Oracle Certified Professional or MySQL Database Administrator Coursera/Udemy Data Engineering Bootcamps Zachman Certified Enterprise Architect Working Conditions: This job is absent of disagreeable working conditions. This job is performed in an office work environment. Physical Requirements: This job consists of speaking, hearing, reading, typing and writing. This job requires frequent sitting, occasional standing and walking and may require lifting up to twenty (20) lbs., bending/ stooping, reaching over head. OUC-The Reliable One is an Equal Opportunity Employer who is committed through responsible management policies to recruit, hire, promote, train, transfer, compensate, and administer all other personnel actions without regard to race, color, ethnicity, national origin, age, religion, disability, marital status, sex, sexual orientation, gender identity or expression, genetic information and any other factor prohibited under applicable federal, state, and local civil rights laws, rules, and regulations . EOE M/F/Vets/Disabled

******************************************************************************** Hybrid Role - must be able to commute to our Maitland, FL office In this position, you will play a crucial role in managing and optimizing our data processes within our emerging Data Warehouse/Data Lake environments. This position requires a strong foundation in ETL systems, SQL development, and a solid understanding of relational databases. You will work to ensure the efficiency and reliability of our data pipelines, contributing directly to the success of our projects. The ideal candidate will have a strong background in data analysis and data visualization with specific expertise in using SQL to transform and analyze data. You will work closely with stakeholders across the organization to deliver actionable insights and support data-driven decision-making. Essential Functions: Collaborate with data engineers, analysts, and other stakeholders with data flows, scripts, and models using SQL, SnapLogic, and other ETL systems, optimizing for performance and reliability throughout the organization. Assist in the development and testing of new features, models, or data processes within our data warehouses, leveraging feedback to drive continuous improvement. Document data processes, models, and workflows within our data warehouses for internal knowledge sharing and to support ongoing learning and development. Ensure integrity and quality of data throughout the entire data lifecycle, from ingestion to analysis, by implementing data validation and cleansing processes. Maintain security protocols and data governance practices to ensure compliance with organizational policies and industry regulations. Monitor performance and troubleshoot issues within ETL projects and related data environments. Create and maintain interactive dashboards and reports using SSRS, Power BI, or similar visualization tools. Ensure data quality and integrity by implementing best practices in data governance and validation. Education and Experience: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 3+ years of experience in a data engineering role, with a focus on SQL development (MS SQL Server experience preferred). Strong proficiency in relational databases and data querying techniques. Expertise in data modeling, ETL processes, and data integration techniques. Experience with using programmatic tools for data manipulation and analysis. Familiarity with cloud platforms such as Azure, AWS, or GCP. Knowledge of data visualization tools like Power BI, Tableau, or similar. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Ability to learn quickly, be adaptable, flexible, and creative. Demonstrated capability to work well independently and as part of a team. Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards. Ability to maintain reasonably regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards. Must be able to sit, stand, stoop, or bend for an extended period (8 hours). Must be able to listen and speak clearly over the phone. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. We offer some great perks: Health, dental, and vision benefits. Employer-paid disability and life insurance. Flexible spending accounts. 401K with company match. Paid time off and company-paid holidays. Wellness resources. Note: This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications associated with the job.

**A Snap Shot of your Day:** Siemens Energy is looking for a highly motivated, skilled, data acquisition engineer with experience in testing data acquisition and instrumentation. A typical day could be a call from an internal customer (engineering) asking for help chasing down a problem with a gas turbine component at a site. They need to implement temperatures and dynamic pressures to determine what specific conditions are causing the part to fail. Options are reviewed along with equipment availability and cost. A plan is formulated. Equipment and personnel schedule test execution and collect data to help engineering evaluate the component. **How You'll Make an Impact** + Plan, develop, and prepare data acquisition equipment for data collection on gas turbine components. + Travel to field sites to support testing validation of gas turbines. + Ensure proper data collection and storage for all test campaigns. + Ensure overall success on testing projects on schedule, within budget, with quality. + Mentor staff in data acquisition techniques and trouble shooting. **What You Bring** + BS in engineering and/or work experience in a related field. + 5 + Experience in data acquisition techniques - static or dynamic pressures, vibrations, temperatures, acoustic sensors, tip clearance and/or other sensor applications. + Willingness to travel and work long hours in support of testing projects, including international short-term assignments. + Teamwork skills to help ensure our small site teams are effective, efficient, and fiscally responsible. + Project management skills to lead small testing projects. + Highly motivated, proactive, and self-directed. + Excellent interpersonal and communication skills. + Preferred experience in the gas turbine or aerospace industry. + U.S. Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers. **About the Team** **Gas Services** Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet. **Who is Siemens Energy?** At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: ******************************************** **Rewards** + Career growth and development opportunities; supportive work culture + Company paid Health and wellness benefits + Paid Time Off and paid holidays + 401K savings plan with company match + Family building benefits + Parental leave **************************************** \#LGTEN #ELECTRON Equal Employment Opportunity Statement Siemens Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

******************************************************************************** Hybrid Role - must be able to commute to our Maitland, FL office In this position, you will play a crucial role in managing and optimizing our data processes within our emerging Data Warehouse/Data Lake environments. This position requires a strong foundation in ETL systems, SQL development, and a solid understanding of relational databases. You will work to ensure the efficiency and reliability of our data pipelines, contributing directly to the success of our projects. The ideal candidate will have a strong background in data analysis and data visualization with specific expertise in using SQL to transform and analyze data. You will work closely with stakeholders across the organization to deliver actionable insights and support data-driven decision-making. Essential Functions: Collaborate with data engineers, analysts, and other stakeholders with data flows, scripts, and models using SQL, SnapLogic, and other ETL systems, optimizing for performance and reliability throughout the organization. Assist in the development and testing of new features, models, or data processes within our data warehouses, leveraging feedback to drive continuous improvement. Document data processes, models, and workflows within our data warehouses for internal knowledge sharing and to support ongoing learning and development. Ensure integrity and quality of data throughout the entire data lifecycle, from ingestion to analysis, by implementing data validation and cleansing processes. Maintain security protocols and data governance practices to ensure compliance with organizational policies and industry regulations. Monitor performance and troubleshoot issues within ETL projects and related data environments. Create and maintain interactive dashboards and reports using SSRS, Power BI, or similar visualization tools. Ensure data quality and integrity by implementing best practices in data governance and validation. Education and Experience: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 3+ years of experience in a data engineering role, with a focus on SQL development (MS SQL Server experience preferred). Strong proficiency in relational databases and data querying techniques. Expertise in data modeling, ETL processes, and data integration techniques. Experience with using programmatic tools for data manipulation and analysis. Familiarity with cloud platforms such as Azure, AWS, or GCP. Knowledge of data visualization tools like Power BI, Tableau, or similar. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Ability to learn quickly, be adaptable, flexible, and creative. Demonstrated capability to work well independently and as part of a team. Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards. Ability to maintain reasonably regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards. Must be able to sit, stand, stoop, or bend for an extended period (8 hours). Must be able to listen and speak clearly over the phone. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. We offer some great perks: Health, dental, and vision benefits. Employer-paid disability and life insurance. Flexible spending accounts. 401K with company match. Paid time off and company-paid holidays. Wellness resources. Note: This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications associated with the job.

Job DescriptionSalary: At Frontline Insurance, we are on a mission to Make Things Better, and our Data Engineer plays a pivotal role in achieving this vision. We strive to provide high quality service and proactive solutions to all our customers to ensure that we are making things better for each one. What makes us different? At Frontline Insurance, our core values Integrity, Patriotism, Family, and Creativity are at the heart of everything we do. Were committed to making a difference and achieving remarkable things together. If youre looking for a role, as a Data Engineer, where you can make a meaningful impact and grow your career, your next adventure starts here! Our Data Engineer enjoys robust benefits: Hybrid work schedule! Health & Wellness: Company-sponsored Medical, Dental, Vision, Life, and Disability Insurance (Short-Term and Long-Term). Financial Security: 401k Retirement Plan with a generous 9% match Work-Life Balance: Four weeks of PTO and Pet Insurance for your furry family members. What you can expect as a Data Engineer: Identify, analyze, organizing, and storing raw data from various mediums (RDBMS, flat files, APIs, etc.) Develop, test, and deploy scalable data pipelines for critical business needs Evaluate, maintain, and enhance current data pipelines and architecture Maintaining code repositories adhering to proper branching flows Building and maintaining CI/CD framework and architecture Deploying and maintaining testing frameworks/suites for data pipelines and CI Developing, deploying, and maintaining APIs and endpoints for analyst and system use Deploying and maintenance of Kubernetes cluster(s) Peer code reviews Collaborate with business, development, and analytics teams to gather requirements Participate in data governance and stewardship program to enhance control and dissemination of data with best practices Develop and maintain technical documentation for pipeline architecture and tooling What we are looking for as a Data Engineer: Strong object-oriented/functional programming skills Python/Scala programming experience Proficient with ANSI SQL skills Familiarity with orchestration tools (Dagster preferred), Docker/Podman, CI/CD tools, and version control (git) Familiar and/or experience with lightweight directory access Experience and/or knowledge of Agile Development methodologies and SDLC Excellent problem-solving and analytical skills Proven ability to extract data from a variety of sources (Relational/Non-Relational Databases, APIs, FTP/SFTP, etc.) Comfortable using cloud technology platforms (AWS preferred) Proven abilities to take initiative and be innovative College Degree and/or 3 - 5 years related experience. Why work for Frontline Insurance? At Frontline Insurance, were more than just a workplace were a community of innovators, problem solvers, and dedicated professionals committed to our core values:Integrity, Patriotism, Family, and Creativity. We provide a collaborative, inclusive, and growth-oriented work environment where every team member can thrive. Frontline Insurance is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

Employment Type: FTE Level: Experienced/Sr. Level GENERAL DESCRIPTION & RESPONSIBILITIES As a Sr. Data Engineering Consultant, you will architect, build, and optimize scalable data pipelines, data lakes, warehouses, and analytics platforms in the Microsoft ecosystem. Collaborate directly with clients to drive successful data modernization and advanced analytics projects while mentoring teams and sharing best practices. Key Responsibilities: Architect, develop, and deploy robust, scalable data solutions using Azure Synapse, Databricks, Fabric, Data Factory, and related tools. Design and optimize ETL/ELT data pipelines with Python, PySpark, and SQL for structured and unstructured data. Build modern data architectures: data lakes, warehouses, lakehouses, and streaming platforms. Implement and automate data ingestion, transformation, modeling, and validation within Azure and Databricks. Lead end-to-end Power BI or Fabric analytics solutions, including semantic modeling, DAX, and data visualization. Advice on data modernization, governance (Purview, Entra ID), and security best practices aligned with Microsoft frameworks. Partner with clients and project teams, translate business requirements into actionable architectures, and communicate technical plans to stakeholders. Mentor peers and guide teams on best practices, technical standards, and continuous learning in the Microsoft/Databricks ecosystem. Author high-quality project, design, and technical documentation as well as support pre-sales and business development activities as needed. PLACEMENT CRITERIA & REQUIREMENTS Bachelors in Computer Science, Engineering, or related discipline (Master's preferred). 5+ years of hands-on experience designing, building, and deploying data solutions in Microsoft Azure and Databricks. Strong expertise in Python, SQL, PySpark, and modern ETL data engineering practices. Advanced knowledge of Databricks, Azure Data Factory, Azure Synapse, Fabric, Azure SQL/Dataverse, and Power BI. Experience with data modeling, pipeline optimization, performance tuning, and cloud-based storage (OneLake, Data Lake, CosmosDB). Deep understanding of data governance, security, and compliance frameworks within Microsoft cloud. Excellent communication, project leadership, and stakeholder management skills. DESIRED SKILLS Bachelors in Computer Science, Engineering, or related discipline (Master's preferred). 5+ years of hands-on experience designing, building, and deploying data solutions in Microsoft Azure. Strong expertise in Python, SQL, PySpark, and modern ETL data engineering practices. Advanced knowledge of Azure Data Factory, Azure Synapse, Fabric, Azure SQL/Dataverse, and Power BI. Experience with data modeling, pipeline optimization, performance tuning, and cloud-based storage (OneLake, Data Lake, CosmosDB). Deep understanding of data governance, security, and compliance frameworks within Microsoft cloud. Excellent communication, project leadership, and stakeholder management skills. NON-TECHNICAL SKILLS Communication Clear and effective verbal and written communication for both technical and non-technical audiences Confident presentation skills, including the ability to explain complex concepts to senior clients. Teamwork & Leadership Ability to mentor, coach, and lead cross-functional teams in collaborative environments Ability to foster a problem-solving culture and contribute meaningfully to team objectives. Client Engagement Strong sense of responsibility, accountability, and trust-building with client stakeholders. Ability to manage client expectations regarding scope, timeline, and cost. Adaptability & Learning Growth mindset and willingness to continuously improve skills and adopt new technologies. Comfort in fast-paced consulting environments and ability to quickly learn new tools and concepts. Organization & Initiative Results-oriented approach with a reputation for getting things done. Strong organizational skills, ability to independently drive projects, and proactive identification and mitigation of risks. CYCLOTRON EXPECTATIONS These are the traits that we hold in the same regard for all employees, also viewed as performance indicators. Each employee should uphold these attributes. Communication and Interpersonal Skills - verbal and written, professional, concise, and effective. Collaboration and Teamwork - share knowledge, build alliances, show respect. Personal Ownership and Responsibility - take initiative, solve problems, be fully present. Customer Focus - Proactive management or Client expectations and needs. Time Management and Productivity - Set Goals, Commit, Record, Communicate Cyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team. Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.

Data Engineer EXp:10+ W2/C2C Must be US Citizen Orlando, FL Full onsite Local to FL Snowflake development and data modeling: Design, implement, and maintain Snowflake schemas, tables, views, materialized views, and data sharing Develop robust ELT/ETL transformations using Snowflake SQL, UDFs, and semi-structured data handling Implement and optimize Snowflake features such as warehouses, clustering, time travel, zero-copy cloning, streams, tasks, and data sharing Alteryx integration and workflow optimization: Build and maintain Alteryx workflows that connect to Snowflake as a data source/target Optimize Alteryx Designer/Server workflows for performance, scalability, and reliability Collaborate with data engineers to design efficient data pipelines and transformations Data quality, governance, and security: Implement data quality checks, data lineage, and metadata management Apply RBAC, masking policies, encryption, and network policies as appropriate for banking data Maintain documentation and support regulatory data requirements Collaboration and delivery: Translate business requirements into technical designs, data mappings, and specs Perform code reviews, contribute to design best practices, and ensure changes meet regulatory and security standards Partner with analytics, BI, and governance teams to fulfill reporting and analytics needs Testing, deployment, and automation: Write unit/integration tests for SQL and data pipelines; participate in CI/CD for data assets Automate routine maintenance and deployment tasks with Python, SQL, or shell scripting Incident response and support: Troubleshoot production issues, perform root-cause analysis, and implement durable fixes Create runbooks and knowledge base articles for common scenarios Documentation: Maintain data dictionaries, lineage, and design documentation for data assets Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent work experience) 10+ years of Snowflake development experience (designing schemas, pipelines, and transformations) Strong SQL skills with the ability to write complex queries and optimize performance Practical experience building and maintaining Alteryx workflows that interact with Snowflake Thorough understanding of Snowflake concepts: warehouses, clustering, time travel, zero-copy cloning, data sharing, streams/tasks, and security features Experience with data governance, data quality, and metadata management Familiarity with cloud environments (Snowflake on AWS/Azure/GCP) and cloud storage integrations Scripting experience (Python, Bash, or similar) for task automation Excellent problem-solving, communication, and collaboration skills Ability to work effectively in a remote or distributed team and align with US banking/regulatory workflows Preferred Qualifications SnowPro Core Certification or equivalent Alteryx Designer Core/Advanced Certification; experience with Alteryx Server administration Banking/financial services domain experience and knowledge of regulatory requirements Experience with data lineage tools (e.g., Collibra, Alation) and data governance frameworks Familiarity with orchestration tools (e.g., Apache Airflow) and ETL/ELT best practices Knowledge of BI/analytics tools (Tableau, Power BI) and data visualization needs

Job Description About the job Client's Education Analytics practice is looking for an experienced data engineer with the ability to own the data lifecycle from sourcing through consumption. Our team members are dynamic and able to wear a lot of hats, and this person will need to leverage their breadth of experience within data analysis and engineering. This role will split time between our core product development and consulting projects, where we develop custom data solutions for both K-12 and higher-ed institutions. You Will -Source complex data, manage and prepare for consumption into PowerBI visualizations for K-12 & Higher-Ed data products, including early warnings, live progress monitoring, graduation & school-grade predictors -Be comfortable across the data lifecycle and be able to jump into tasks related to front end prototyping and dashboard development as needed -Contribute to data architecture and strategy for our core education analytics product development. -Build for the scalability of a turnkey solution. -Engineer custom data solutions for specific consulting clients, including contributing to data architecture and management. -Work with cross-functional client stakeholders to gather, analyze, and understand the user requirements -Act as a liaison to the client stakeholders for the models, analysis or reports created; understand the impact of specific drivers and provide insights. -Continually refine models and/or reports and analyze results. -Utilize a core management consulting skill set including business analysis, project management, and process analysis. -Work with managing director(s) to successfully deliver to clients -Oversee and direct the work of 2-3 junior team members assisting with troubleshooting of data problems and client requests You Have -2-3 years of data engineering experience, preferably with consulting experience OR in an education institution -Exposure to a variety of areas of data & analytics, including data management, statistical programming, and visualization -Experience with large enterprise level data environments and working with 1B+ record data sets -Skills with the Azure Tech Stack, including: Data Lake, Data Factory, Data Bricks or Analytics, and Azure Machine Learning -Reporting & Dashboard development experience with PowerBI SSRS Reports Migration to Paginated Reports -Understanding of management consulting functional skills including: business analysis, process improvement, solutions architecture, and project management Extras we are looking for -Experience in Education Analytics, either in a research or professional role -Excellent written and verbal communication skills -Knowledgeable in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis) -Bachelor's degree in a quantitative major; Graduate degree in data & analytics field preferred

About the Role: We are seeking a highly skilled and motivated Data Engineer to join our team as an individual contributor. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support our data-driven initiatives. You will work closely with cross-functional teams to ensure data availability, quality, and performance across the organization. About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com. Key Responsibilities: * Design, develop, and maintain robust data pipelines using Java and Python. * Build and optimize data workflows on AWS using services such as EMR, Glue, Lambda, and NoSQL databases. * Leverage open-source frameworks to enhance data processing capabilities and performance. * Collaborate with data scientists, analysts, and other engineers to deliver high-quality data solutions. * Participate in Agile development practices, including sprint planning, stand-ups, and retrospectives. * Ensure data integrity, security, and compliance with internal and external standards. Required Qualifications: * 5+ years of hands-on experience in software development using Java and Python (Spring Boo). * 1+ years of experience working with AWS services including EMR, Glue, Lambda, and NoSQL databases. * 3+ years of experience working with open-source data processing frameworks (e.g., Apache Spark, Kafka, Airflow). * 2+ years of experience in Agile software development environments. * Strong problem-solving skills and the ability to work independently in a fast-paced environment. * Excellent communication and collaboration skills. Preferred Qualifications: * Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation). * Familiarity with data governance and data quality best practices. * Exposure to data lake and data warehouse architectures. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses. EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations. Responsibilities * Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. * Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams. * Partner with the extended data team to define, develop, and maintain shared data models and definitions. * Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. * Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery. * Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance. * Support incident resolution and perform root cause analysis for data-related issues. * Create and maintain both business requirement and technical requirement documentation * Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. * Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns. Qualifications * Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. * Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL * Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST). * Experience with modern data platforms like Snowflake and Microsoft Fabric. * Solid understanding of Data Modeling, pipeline orchestration and performance optimization * Strong problem-solving skills and ability to troubleshoot complex data issues. * Excellent communication skills, with the ability to work collaboratively in a team environment. * Familiarity with tools like Power BI for data visualization is a plus. * Experience working with or coordinating with overseas teams is a strong plus Preferred Skills * Knowledge of Airflow or other orchestration tools. * Experience working with Git-based workflows and CI/CD pipelines * Experience in the construction industry or a similar field is a plus but not required. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************