Data engineer jobs in Port Orange, FL - 346 jobs

**Locations:** This role requires associates to be in-office **1-2** days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. _PLEASE NOTE: This position is not eligible for current or future VISA sponsorship._ The **RWD Data Scientist** will support strategic decision making across company, conduct feasibility analysis for external customers, and perform commercial analytics by developing predictive models and advanced analytics solutions. Design modeling studies to address specific business issues determined by consultation with business partners. **How you will make an Impact:** + Prepares analytical data sets in support of modeling studies. + Develop and deliver customized reports for a diverse portfolio of clients, ensuring clarity and relevance. + Design and implement scalable analytics pipeline, advanced statistical models to solve business problems. + Conduct exploratory data analysis to support new product development + Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. **Minimum Requirements:** Requires MS, MA, or PhD with concentration in a quantitative discipline such as statistics, computer science, cognitive science, economics, or operations research, a minimum of 3 years direct experience programming large, multi-source datasets with SAS required, and a minimum of 3 years in health care setting; or any combination of education and experience which would provide an equivalent background. **Preferred Skills, Experiences and Competencies:** + Proficiency with SQL, SQL Server, R or Python strongly preferred. + Intermediate to Advanced expertise with software such as SAS Stat, SAS ETS, SAS Enterprise Miner or equivalents strongly preferred. + Strong understanding of statistical modelling, predictive analytics, ML libraries + Experience with visualization and business intelligences tools (i.e. Tableau, Power BI) strongly preferred + Familiarity with healthcare datasets (i.e. closed claims, EHR/EMR), market access analytics, and commercial strategies in the pharmaceutical domain. + Experience in developing and conducting training sessions for internal and external stakeholders. + Familiarity with AWS and Cloud environments. + Proven ability to design modeling studies and experience with data models, addressing data quality issues in study design, constructing robust and efficient analytical data sets strongly preferred. + Significant experience in healthcare related field strongly preferred. + The ability to present meaningful results to a business audience, to participate collaboratively in a team tasked to produce complex analyses on a rigorous schedule, to communicate with strong written and verbal communications skills, and to present to large multi-disciplinary audiences on a regular basis strongly preferred. + Ability to execute data counts, queries, and extractions specific to client inquiries, providing accurate and timely answers. + Ability to engage in discussions to understand and articulate the "why" behind client data needs, building strong client relationships. + Ability to work with client support and commercial teams to identify and capitalize on opportunities for product adoption and expansion. + Desire to become a subject matter expert on internal healthcare datasets and their commercial applications, offering guidance and insights. + Obtain an understanding of data sources, methodologies, and limitations, ensuring data integrity and adherence to industry standards. + Background in leading initiatives to implement advanced analytics tools and techniques, such as AI and machine learning, to automate routine processes and enhance data insights. For candidates working in person or virtually in the below locations, the salary* range for this specific position is $102,580 to $153,870. Location(s): Massachusetts In addition to your salary, Elevance Health offers benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws. * The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education, and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact ******************************************** for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Data Engineer Salary: $100,000-$115,000 + Bonus Benefits: Competitive Healthcare Plans, 34 Days of PTO, Onsite Gym, Wellness Programs, 401(k) match, etc. Summary of the Data Engineer: The Data Engineer will design, build, and maintain scalable data pipelines and platforms that support enterprise reporting, analytics, and data‑driven decision‑making. This role works closely with IT, data, and business teams to ensure data is accurate, accessible, secure, and ready for use across the organization. Here are a few reasons to apply: Outstanding benefits, including an onsite gym and 34 days of PTO. Leadership invested heavily in both the business and its people, fueling continued growth. Brand new, state-of-the-art office is currently being built. Key Responsibilities of the Data Engineer: Support and enhance the Enterprise Data Warehouse, ensuring reliable and accurate data flows. Design and implement on‑prem or cloud‑based data platforms, integrating enterprise data sources. Build and maintain ETL/ELT pipelines to ingest, transform, and optimize data. Develop and maintain data models for reporting, analytics, and advanced use cases (AI/ML). Implement data governance, quality, security, and compliance best practices. Enable self‑service analytics and real‑time data processing using modern data technologies. Collaborate with IT, analytics, and business teams to translate data needs into technical solutions. Mentor junior team members and contribute to data architecture and modernization initiatives. Preferred Experience of the Data Engineer: Degree in Information Systems, Data Science, or related field. 5+ years of experience in data engineering, data architecture, or related roles. Strong experience with Azure‑based data platforms and lakehouse architectures. Proficiency in ETL/ELT tools (SSIS, Azure Data Factory) and SQL‑based databases. Hands‑on experience with big data and streaming technologies (Databricks, Spark, Kafka, etc.). Familiarity with BI tools such as Power BI, Tableau, or Looker. Working knowledge of data governance, security, and compliance frameworks. Experience using Jira or similar ticketing systems. Bonus Experience of the Data Engineer: Experience with Guidewire InsuranceSuite data models (PolicyCenter, BillingCenter, ClaimCenter) preferred. Experience with Data Mesh architecture. Exposure to machine learning / MLOps. Azure Data Engineer certification. #LI-HM1 #INJAN2026 a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }

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.

Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. 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, parental leave, 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, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the target base salary pay range in the following locations: Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000. In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. 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 will accept applications until 1/31/2026 or until the positions are filled.

Job Description Optimal Solutions & Technologies (OST, Inc.) is focused on excellence. We specialize in providing Management Consulting, Information Technology, and Research Development and Engineering services. The fundamental distinction of the OST team is its business knowledge in both the public and private sectors. We serve the aerospace & transportation, association & nonprofit, defense, education, energy, financial, healthcare, and technology & telecommunications industries. OST is successful because we listen to our clients, we learn from our clients, and we know our clients. Data Scientist I Description of specific duties in a typical workday for this position: Applies statistics and data science methods to develop insights, prototypes, and decision-support analyses that improve CPE-STRI program performance and modernization outcomes as well as supporting Agile Solution Implementation for providing proactive metrics analysis (e.g. Velocity and Capacity Forecasting) Works with senior data scientists and engineers to prepare data, run experiments, and communicate results to technical and non-technical stakeholders. Key Responsibilities include: Perform exploratory data analysis, feature engineering, and baseline model development. Develop reproducible notebooks/scripts and document assumptions, methods, and results. Support model validation, bias checks, and monitoring plans. Collaborate with engineers to transition prototypes into deployable pipelines where appropriate. Requirements (Years of experience, Education, Certifications): 5 years of experience with BA/BS (or equivalent). Experience with Python/R and common statistical/ML libraries; comfortable communicating analytic results. Familiarity with data ethics, validation, and reproducibility practices. Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field Active SECRET strongly desired; ability to obtain and maintain SECRET (or higher) required. Task-order DD254 may require higher clearance (e.g., TS/SCI). Nice to Have (skills that are not required, but nice to have): Exposure to operational datasets and performance metrics in DoD or large enterprise contexts Experience with visualization tools to communicate results Experience working with protected data and RBAC This is a full-time position paying a base salary, full benefits, and has possible bonus potential based on merit and performance. To be considered for this position, please apply online with a resume. OST is an equal opportunity employer. Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local laws.

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.

At Holiday Inn Club Vacations, we believe in strengthening families. And we look for people who exhibit the courage, caring and creativity to help us become the most loved brand in family travel. We're committed to growing our people, memberships, resorts and guest love. That's why we need individuals who are passionate in life and bring those qualities to work every day. Do you instill confidence, trust and respect in those around you? Do you encourage success and build relationships? If so, we're looking for you. POSITION DESCRIPTION: The Data Scientist, Customer Modeling is a core builder of our enterprise customer data and predictive analytics capability. This role transforms customer, behavioral, and performance data into predictive intelligence that drives activation, retention, optimized channel engagement, and long-term customer value. Partnering closely with Performance Marketing, Analytics, Audience Strategy, and Technology, this role will lead the development of a suite of predictive and propensity models and ensures they are aligned to business priorities, validated in-market, and driving measurable ROI. The Data Scientist also provides leadership to an analyst who supports model development, validation, and exploratory analytics. ESSENTIAL DUTIES AND TASKS (up to five): % of Time (equals 100%) Lead predictive model development end-to-end Design, build, validate, deploy, and maintain a suite of propensity, attrition, LTV, and channel models that directly influence activation, retention, and ROI. (30%) Translate strategic business needs into modeling requirements Lead partnership with cross-functional stakeholders to define outcomes, prioritize development, and ensure models reflect business rules, funnel dynamics, and performance drivers. (20%) Conduct deep data exploration and guide data engineering requirements Support the assessment of data quality, understand transformations, define feature needs, partner with Technology identifying gaps in EDW, data capture, and documentation that impact modeling integrity. (25%) Establish rigorous measurement and testing frameworks Including holdouts, back-testing and lifecycle validation; continuously monitor model drift, re-score, re-train, and ensure KPIs (activation, usage, conversion, engagement, margin impact, etc) are accurately measured and communicated. (15%) Lead, mentor, and elevate analytical capability by overseeing an analyst supporting model development and validation, defining modeling best practices, and ensuring model outputs are understood, leveraged, and integrated into performance optimization across teams. (10%) This job description in no way states or implies that these are the only duties to be performed by the employee in this position. It is not intended to give all details or a step-by-step account of the way each procedure or task is performed. The incumbent is expected to perform other duties necessary for the effective operation of the department. SUPERVISORY RESPONSIBILITIES Provides day-to-day leadership and oversight of 1-2 analysts supporting modeling and validation efforts. Responsible for coaching, workload management, and establishing analytical standards for model development. EDUCATION and/or EXPERIENCE BA/BS or MS in Data Science, Statistics, Computer Science, Applied Mathematics, or related quantitative field. 3-5+ years of hands-on predictive modeling experience (marketing, CRM, or revenue optimization preferred). Demonstrated expertise in Python, R, Azure ML machine learning frameworks, and SQL. Experience working with large-scale data environments, customer lifecycle data, and marketing/test design frameworks. Experience collaborating with Data Engineering and Technology teams to define data requirements and pipelines. CERTIFICATES, LICENSES, REGISTRATIONS Valid driver's license and reliable transportation (required). This role may include on-site content capture at resorts and other properties. QUALIFICATIONS Deep knowledge of statistical modeling, machine learning algorithms, and feature engineering. Ability to translate complex analytical findings into clear, actionable insights for non-technical leaders. Strong critical-thinking and problem-solving skills grounded in business outcomes and operational feasibility. Skilled in managing long-cycle testing and validating performance across upstream and downstream funnel metrics. Confident communicator able to influence stakeholders, guide interpretation of predictive outputs, and recommend actions. Self-starter who thrives in fast-paced, evolving environments and champions a culture of data-driven decision-making. High attention to detail and ability to move work forward quickly in a fast-paced environment. PHYSICAL DEMANDS While performing the duties of this job, the employee may be required to sit or stand for extended periods of time, bend, twist, reach, push, pull, and operate office machinery. Must be able to lift up to thirty pounds. WORKING CONDITIONS The majority of work will be performed in a climate-controlled office environment at the Corporate Headquarters in Orlando, Florida. Occasional travel to resorts and locations for content gathering may be required. Employee may be exposed to inclement weather and varying degrees of temperature while on property. WORK SCHEDULE/HOURS This is a hybrid role: four days per week in the Orlando corporate office, one day remote. Schedules may vary depending on business needs and may include occasional nights, weekends, and holidays.

******************************************************************************** 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.

******************************************************************************** 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.

The developer will work within biweekly sprints, completing assigned work packages and tasks that have been pre analyzed by the architecture team. Their day-to-day includes building and optimizing Snowflake SQL queries, enhancing existing ETL pipelines, and creating new data workflows using Azure Data Factory. They will support scalable data engineering efforts by designing data models, maintaining data quality, and ensuring secure operations across environments. The role also includes contributing to reporting initiatives using Sigma, building area pipelines, and participating in training and improving an AI agent for the research project. Additionally, they will collaborate closely with analytics and business teams to troubleshoot issues and meet project reporting needs. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements Bachelor's Degree in Comp Sci, IT, Business Analytics, etc. 5-7 years of Data Engineering experience 5+ year exp Snowflake - Leveraging as a Data Warehouse SQL Experience - Creating complex queries from scratch in a Snowflake environment AI Agentic Experience Python Experience Healthcare/Hospital experience Reporting experience

Optimal Solutions & Technologies (OST, Inc.) is focused on excellence. We specialize in providing Management Consulting, Information Technology, and Research Development and Engineering services. The fundamental distinction of the OST team is its business knowledge in both the public and private sectors. We serve the aerospace & transportation, association & nonprofit, defense, education, energy, financial, healthcare, and technology & telecommunications industries. OST is successful because we listen to our clients, we learn from our clients, and we know our clients. Data Scientist I Description of specific duties in a typical workday for this position: * Applies statistics and data science methods to develop insights, prototypes, and decision-support analyses that improve CPE-STRI program performance and modernization outcomes as well as supporting Agile Solution Implementation for providing proactive metrics analysis (e.g. Velocity and Capacity Forecasting) * Works with senior data scientists and engineers to prepare data, run experiments, and communicate results to technical and non-technical stakeholders. * Key Responsibilities include: * Perform exploratory data analysis, feature engineering, and baseline model development. * Develop reproducible notebooks/scripts and document assumptions, methods, and results. * Support model validation, bias checks, and monitoring plans. * Collaborate with engineers to transition prototypes into deployable pipelines where appropriate. Requirements (Years of experience, Education, Certifications): * 5 years of experience with BA/BS (or equivalent). * Experience with Python/R and common statistical/ML libraries; comfortable communicating analytic results. * Familiarity with data ethics, validation, and reproducibility practices. * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field * Active SECRET strongly desired; ability to obtain and maintain SECRET (or higher) required. Task-order DD254 may require higher clearance (e.g., TS/SCI). Nice to Have (skills that are not required, but nice to have): * Exposure to operational datasets and performance metrics in DoD or large enterprise contexts * Experience with visualization tools to communicate results * Experience working with protected data and RBAC This is a full-time position paying a base salary, full benefits, and has possible bonus potential based on merit and performance. To be considered for this position, please apply online with a resume. OST is an equal opportunity employer. Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local laws.

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

OUC - The Reliable One, is presently seeking an Associate Data Engineer- Cloud & Data Modeling 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. We're looking for a curious and motivated data engineering professional ready to launch their career. In this entry-level role, you'll collaborate with seasoned data engineers to develop and maintain ETL/ELT pipelines, support both cloud-based and on-premises data platforms, and ensure data is clean, accessible, and optimized for analytics, reporting, and machine learning. You'll gain hands-on experience with tools such as SQL, Python, Snowflake, AWS S3, and Azure, while learning to convert raw data into structured, actionable insights. This is an excellent opportunity to expand your technical skills in a supportive environment and contribute to impactful data solutions that inform decision-making across the organization. OUC's mission is to provide exceptional value to our customers and community by delivering sustainable and reliable services and solutions. 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 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 (6) months 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 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. Retirement benefits include a cash balance account with employer matching along with a health reimbursement account Paid vacation, holidays, and sick time Paid parental leave Educational and Professional assistance programs; Paid Memberships in Professional Associations Access to workout facilities at each location Paid Conference and Training Opportunities Hybrid work schedule Click here to view our Benefits Summary. Salary Range: $68,000.00 - $85,000.00 annually commensurate with experience. Location: 3800 Gardenia Ave., Orlando, FL 32839 Please see below a complete Job description for this position. Job Purpose: This entry-level role supports ETL/ELT processes, data modeling, and multidimensional data models, ensuring efficient data processing and infrastructure for analytics and reporting, business intelligence, and operational decision-making. Assists in designing, implementing, and optimizing data pipelines, integrations, and storage solutions across both on-premises and cloud environments. Performs routine query auditing, code review, quality assurance (QA), data management, to ensure adherence to best practices in data engineering, security, performance, and reliability. Works with guidance of data engineers and other experienced technical staff and, collaborates with various IT teams, to assist in optimizing data workflows, troubleshooting performance issues, and maintaining scalable architectures for structured and unstructured data, supporting efficient data processing, storage, and retrieval. Primary Functions: Data Engineering & Integration Assist in the development and maintenance of ETL/ELT pipelines for efficient data extraction, transformation, and loading. Support data modeling using foundational principles and methodologies to structure data for analytics and reporting. Support integration between on-premises and cloud-based storage solutions. Ensure data accessibility for business intelligence (BI), analytics, and operational decision- making. Data Warehousing & Cloud Infrastructure Support the development and management of hybrid cloud and on-prem data storage solutions. Support the design and optimization of multidimensional data models for reporting and analytics. Assist in implementing star and snowflake schemas to improve analytical performance. Utilize data visualization and business intelligence tools to integrate to structure data for decision-making processes. Problem-Solving, Query Auditing, Optimization & Quality Assurance (QA) Review and audit routine SQL queries and ETL pipelines to ensure efficiency and adherence to best practices. Assist in code reviews for data scripts and ensure data integrity in transformations. Conduct troubleshooting for routine data inconsistencies and optimize data pipelines for high-performance analytics and pipeline execution times improvements. Collaborate with data scientists, analysts, and IT teams to deliver reliable data solutions. Identify opportunities for automation and performance improvement. General Apply data governance best practices, including security, privacy, and compliance. Adhere to ethical guidelines and legal regulations governing the collection and use of open- source intelligence data; Maintain security and confidentiality of sensitive information and data; Perform other duties as assigned. Technical Requirements: Programming & Query Optimization: Confirmed knowledge of SQL or Python ETL/ELT Tools: Knowledge or exposure to tools like: Talend, DataIku, Alteryx, Snowpipes, Azure, SSIS Data Warehousing & Cloud: Knowledge or exposure to: Snowflake, Databricks, Azure, AWS S3, Oracle databases, relational databases like MySQL. Data Modeling & Architecture: Methodologies, Inmon, Kimball, Data Vault Programs: DataIKU, Alteryx, Cognos Analytics, IBM Framework, PowerBI, dbeaver, etc. Data Security & Governance: knowledge of: Role-based access control, encryption practices, data lineage, data governance, data management Visualization & Reporting: Competency in Power BI, Tableau, or equivalent tools. Strong critical thinking and problem-solving capabilities. Ability to effectively communicate insights to non-technical stakeholders. Team collaboration skills and experience working with cross-functional teams. Business acumen with a curiosity for data-driven decision-making. Ability to rapidly learn and adapt to evolving analytics and reporting tools. 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 (6) months 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, gender, 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

Our client is an international association of financial industry professionals, bringing together over 200,000 investment experts worldwide. The organization operates more than one hundred applications and is embarking on a major initiative to modernize and upgrade its systems. The Data Governance Consultant leads the design, rollout, and operationalization of the client's enterprise data governance framework. This includes policies, standards, stewardship, metadata, and data quality processes. The estimated salary range for this position is from 210,000 to 250,000 USD per year. Occasional travel to client sites within the Central Virginia region is required. * Implement and enhance the enterprise data governance framework, policies, and processes. * Facilitate data stewardship roles, data ownership models, and governance committees. * Develop standards for data quality, metadata, business glossaries, and data access controls. * Support implementation of data lifecycle management, including retention and preservation. * Assist in establishing governance for data intake, validation, and cross-team analytics collaboration. * Train business and technical teams on governance practices and workflows. * 7-10 years in data governance, data management, or regulatory compliance roles. * Strong familiarity with data governance tooling and metadata platforms. * Experience with stewardship operating models and cross-functional governance adoption. * Excellent communication, influencing, and policy-writing skills.

Job Description 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

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.

About the Role Florida Orlando Company Siemens Energy Staffing, Inc. Organization Gas Services Business Unit Central Full / Part time Full-time Experience Level Mid-level Professional Data Engineer In this role, you will play an integral part in ensuring that the gas turbine blades and vanes procurement team has access to stable and consistent supply chain and procurement process data by helping to enable dashboard reporting and advanced analytics projects. As a part of the blades and vanes procurement data science team, you will help design, implement and maintain foundational data architecture that meets both business needs and enables future iterative development. You will also serve as the team's expert regarding database architecture best practices, data management strategy, compliance with data security rules and being a liaison with Siemens Energy IT regarding database operations. As the blades and vanes procurement data engineer, you will also work closely with data scientists and subject matter experts in the process of crafting project requirements, enabling user testing on data products and helping to shepherd database projects through the development lifecycle. How You'll Make an Impact (responsibilities) * Design, develop, deploy and maintain database objects, ETL/ELT pipelines, and system infrastructure for blades and vanes procurement in our Snowflake relational database management system. * Collaborate with the procurement data science team to help craft requirements, track project progress, document solutions and establish scalable and generalizable database architecture for blades and vanes supply chain data. * Propose, design and implement architectural improvements to existing data products to help continuously improve our ability to deliver business intelligence services and advanced analytics project value. * Serve as the main liaison for central Siemens Energy IT services to ensure compliance with data security needs and company policy. What You Bring (requirements) * Bachelors Degree or higher in computer science or other field of study (STEM, Economics, Quantitative Social Science) with a strong emphasis on quantitative analysis and data management. Advanced degree or strong direct equivalent experience in a previous data engineering role is preferred but not necessary. * 2-3 years of experience in data engineering or full-stack data science role is expected. This is a mid-level role that requires comfort with foundational entry level skills alongside the ability to operate in a semi-autonomous and ambiguous environment to help design and drive data engineering projects. * Advanced proficiency in SQL programming and at least intermediate proficiency in Python or R programming. Strong understanding of systems design/thinking, database architecture frameworks (star schema, data products, etc). Experience working in an agile development environment and comfort with CI/CD pipelines alongside collaborative management of code via Git. Previous experience with Snowflake, Streamlit, AWS cloud tools, Docker, PowerBI and SAP is strongly preferred but not required for candidates that are strong in foundational skills. * Robust collaboration skills and experience working with both technical and non-technical teams. Demonstrated ability to operate in an international and multi-cultural working environment. * Interest in transitioning legacy systems and solving problems in a fast-paced and sometimes ambiguous working environment. 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 ************************************ Equal Employment Opportunity Statement Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. 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. California Privacy Notice California residents have the right to receive additional notices about their personal information. Click here to read more.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. The Data & Insights (D&I) team harnesses the power of data to deliver transformative insights and solutions to EA game teams and players. D&I teams are involved in every aspect of data, driving strategy and governance; building powerful data and AI applications; and developing personalization, experimentation, and analytics tools, and more. When you join D&I, you're joining a team of passionate experts working to enable more profound understanding, better ways of working, and more meaningful experiences for our players. We're looking for a sharp, curious, and collaborative Data Scientist to join our Growth Analytics team. You'll work closely with media buyers to build models and experiments that inform our marketing strategy. Your insights will shape how we allocate budget, measure impact, and forecast performance across digital channels. You'll join a tight-knit team of five data scientists and will report directly to the Senior Manager of Data Science. This is a hybrid role with an expectation of 3 in-office days per week. The position is open to candidates based near any EA office in Canada and the United States (listed above) Responsibilities: * Build Bayesian Hierarchical Media Mix Models (MMMs) to quantify the contribution of marketing channels * Design and analyze geo-based incrementality experiments and user-level re-engagement tests to measure the causal impact of marketing spend * Lead the design and analysis of retargeting experiments, applying A/B testing principles to evaluate incremental impact and guide campaign optimization * Develop budget optimization tools to support strategic decision-making * Create forecasting models (ie: Prophet) to project game performance * Translate model insights into actionable recommendations, collaborate closely with media buyers and presenting results and insights to stakeholders Qualifications: * Master's degree in a quantitative field (e.g., Statistics, Econometrics) and 2-5 years of experience in data science or analytics, ideally focused on marketing measurement or experimentation * Familiarity with MMMs, causal inference techniques (e.g. Causal Impact, Fixed Effect Regression), and experimental design * Strong experience with Python/R and SQL * Comfort working in a Bayesian modeling framework * Ability to communicate technical results to non-technical stakeholders We want to connect you with job opportunities that align with your interests, skills, and expertise. When you create an EA Careers Account and are logged into the portal, you can click "Get Recommendations" to view a curated list of job openings. These recommendations are enhanced by automated processing, including artificial intelligence, and take into account your skills and experience. However, all employment decisions are made by our hiring teams, not by automated systems. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$100,000 - $139,500 CAD * California (depending on location e.g. Los Angeles vs. San Francisco) *$117,000 - $179,600 USD * Washington (depending on location e.g. Seattle vs. Spokane) *$108,900 - $145,200 USD In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

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 ********************