Data engineer jobs in Richmond, VA

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD and WD_BLACK Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. 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. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Job Description About Us: Endurance IT Services provides Managed IT Services, Cybersecurity Solutions, and IT Consulting to help businesses stay secure and productive. We also offer IT Staffing for Direct-Hire, Contract-to-Hire, and Contract roles, plus internal full-time positions. Note: Some opportunities may not be exclusive and can change as we work with clients but our goal is always to help candidates find the right job. We are hiring on behalf of our client for a strategic technology consultant to lead a four-month engagement focused on evaluating and optimizing their sales forecasting infrastructure. This project is critical to shaping the client's future forecasting capabilities and delivering actionable insights for executive decision-making. Responsibilities Conduct a comprehensive analysis of two forecasting systems: Adaptive Workday (commercial solution) In-house Python-based system Validate forecasting accuracy and benchmark performance. Perform code-level audits of Python scripts for integrity and efficiency. Assess scalability, customization potential, and long-term viability. Deliver an executive-ready report with ROI analysis and strategic recommendations. Qualifications: Strong expertise in data science, forecasting models, and Python programming. Experience with system evaluation, performance benchmarking, and optimization. Ability to conduct technical audits and provide strategic recommendations. Excellent communication skills for delivering executive-level reports. Preferred Qualifications Familiarity with Adaptive Workday or similar forecasting tools. Background in sales analytics, business intelligence, or financial modeling. Experience in ROI analysis and presenting findings to senior leadership. Knowledge of cloud-based forecasting solutions and scalability best practices.

Key Cyber Solutions (KCS) is a leading enterprise IT consulting firm that specializes in Secure Agile Software Development, Cybersecurity, Enterprise IT and Data Management services for both government and healthcare organizations. Our approach to business is both aggressive and agile. We value a strong work-ethic, good judgement, organizational skills and, most importantly, an entrepreneurial spirit. At KCS we treat our employees like family and, in turn, they pay that respect forward to every one of our clients. Job Description As a Data Scientist at Key Cyber Solutions, your primary responsibility will be to analyze and interpret complex data sets to uncover insights, trends, and opportunities that can guide business strategies and decisions. Responsibilities: Data Analysis and Interpretation: Analyze large and complex data sets, identifying patterns and correlations that offer meaningful insights. Model Development: Develop predictive models and algorithms to support various business functions and initiatives. Collaboration: Collaborate with cross-functional teams, including product development, marketing, and operations, to ensure alignment of data-driven projects. Visualization: Create clear and engaging visualizations to represent data insights for technical and non-technical stakeholders. Continuous Learning: Stay abreast of the latest industry trends, technologies, and methodologies in data science. Reporting and Communication: Clearly communicate findings, insights, and recommendations to stakeholders at all levels of the organization. Qualifications Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience in data analysis, machine learning, or related fields. Proficiency in programming languages such as Python or R. Strong understanding of statistical analysis, data mining, and machine learning algorithms. Experience with data visualization tools and libraries. Additional Information THIS POSITION REQUIRES AN ACTIVE TS/SCI W/POLYGRAPH. As a HUBZone certified business, we STRONGLY encourage candidates who reside in a HUBZone to apply. To confirm if your home address is within a HUBZone, please visit ********************************* ***Please note in your cover letter if you reside within a designated HUBzone location. **** All your information will be kept confidential according to EEO guidelines.

Job DescriptionRole : Data Scientist 4 Interview Mode: Both Web Cam and In Person Interview The Data Scientist (Business Intelligence/Data Reporting Analyst) ON SITE: 1 -2 days on site each week as needed ABOUT THE ROLE Primary responsibilities include collect the business requirements by working with project team, conduct complex data mining analysis, and develop complex strategic reports and dashboards. Seeking one Data Scientist (Business Intelligence/Data Reporting Analyst) who will be responsible for working closely with Customer Engagement project teams to provide the customer with business analysis expertise, report creation and dashboard design, in a tactical capacity, evaluating internal and external client requirements and implementing effective solutions in a timely manner. The selected candidate will gather, analyze, and document functional/reporting requirements (i.e., user stories using interviews, documentation analysis, site visits, use cases, scenarios) and design, assemble and deliver reports and Monthly Operations Review Scorecard dashboard for DBHDS Business Report Process Management platform in a manner consistent with client expectations. Job Requirements: • Ability to consolidate, interpret and present data in reports/dashboards for Executive, Team Leads and Individual End Users focused on Acquisition and Financial Information. • Ability to produce reports and dashboard using Microsoft Power BI and other data reporting tools. • Ability to define and document customer business processes and report/dashboard content needs including business process diagrams, data maps, and data modeling. • Ability to Consult with project team members and customer stakeholders to identify, define, and document business needs and objectives, current reporting capabilities, and challenges related to the business functions. • Collaborate with the DBHDS project managers, technical analysts, and customer end-users in the analysis, design, configuration, testing and maintenance of the Business Intelligence module of DBHDS Business Process Management Platform to ensure desired operational performance and capabilities. • Track and document changes for functional and business specifications; write detailed universally understood procedures for testing uses cases, knowledge capture and training purposes. • Achieve proficiency in all major Reporting/Analytic products, including the software suite: through internal staffing training, self-guided tutorials, and daily exposure to individual product feature sets. • Innovative Solutions to Support Complex Business Processes, focused on very complex data mining analysis, coordinating the activities of a project team, and developing complex strategic report applications • Provide support for a variety of meetings, demonstrations, and program activities related to Business Intelligence. • Test reports/dashboard projects in accordance with business and functional design following best practices for quality assurance. • Record and track defects uncovered during test execution and assist in defect resolution troubleshooting and researching). Comprehension of change management processes. Other duties as assigned. Required Experience: • 5+ years prior business data analyst experience. • Ability to work in a team-oriented environment for a matrixed organization. • Strong knowledge and experience with data reporting tools including Microsoft Power BI, SSRS, etc. • Knowledge of SQL Databases like MS SQL Server and complex SQL Query Creation • Strong knowledge of productivity tools such as Microsoft Office (Word, Excel, Outlook). • Experience with Agile and SCRUM processes and methodologies. Familiarity with Government Processes, including Healthcare. • Knowledge of software development life cycle (SDLC) practices, principles, and techniques as they apply to Agile development process. • Excellent verbal and written communication skills, with proven ability to listen and relate with the customer. • Ability to effectively collaborate with internal and external customers. • Demonstrated analytical and problem-solving capabilities. • Proven ability to communicate technical details to a non-technical audience. • Excellent organizational and time management skills. Strong team player that is willing to always help other team members. Desired Experience: • Knowledge of the Healthcare Lifecycle or Behavioral Health a BIG Plus and those with this exp will be considered first but ONLY if this exp is clearly reflected on the resume. • Ability to develop training materials and conduct end-user training sessions. Powered by JazzHR UVnhy51MeH

This Data Scientist position with the Professional Services Procurement Office will be an important member of the VDOT PSPO team. In this role, the Data Scientist collects and analyzes statistics and information from multiple sources to spot trends and to gain maximum insight that can give the company a competitive advantage and communicates informed conclusions and recommendations across an organization's leadership structure. Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means. Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen. Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets. In addition to standard knowledge, skills and abilities for a Data Scientist, the successful candidate for this role will have experience and knowledge of procurement, preferably professional services procurement and the data related to this business need as well as procurement related reporting systems and technology. Skills Specific to this Position: Provide expertise to agency on data-driven decision making and strategy. Provide expertise in specific areas, such as machine learning, predictive analytics using data and systems related to public procurement. Leading research projects, for advanced date mining, developing algorithms, or building data pipelines related to public procurement. Tools and Technologies: Programming languages: SQL, Python, PySpark, Shell Scripting, PowerShell Data visualization: Tableau Desktop & Server, Power BI, Looker, Jupyter Notebooks Other frameworks: git, GitHub, SSH Secure Shell, Putty, XML, JSON, SQL Workbench, Big data platforms: Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake Cloud platforms: Amazon Web Services (AWS), EC2, S3, RDS, VPC, EMR, SNS, IAM, Redshift, CloudWatch, SQS, Route53, CloudFront, Athena, Kinesis, QuickSight, Lambda. Statistical tools: Snowflake, Redshift, Oracle, MySQL, Microsoft SQL Server, PostgreSQL

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care-and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: Make it human. We care about the people that make up our customers, colleagues, and communities. Make it about others. We do what's best for our customers and collaborate to drive progress. Make it happen. We work with intention toward a common purpose and forge ways forward together. Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. This role is not eligible for employment visa sponsorship POSITION TITLE Principal Data Engineer POSITION LOCATION This position is available to Virginia residents as Richmond or Lynchburg, VA Hybrid in-office applicants or remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Virginia, Washington DC, Vermont, West Virginia or Wisconsin. YOUR ROLE The Life, Annuity and Long Term Care Data solutions team which is responsible for the end to end data architecture, data governance and data engineering scope from source systems to data consumers is seeking a Principal Level Data Engineer. This role will lead, mentor, and assist team members in the software development lifecycle process from design, build, test, and run responsibilities. The candidate will be joining a high-performing team that is passionate and motivated to address internal and external customer needs. The anticipated team size is twenty-five individuals, organized into four agile teams consisting of various roles such as data product owner, agile leader, data engineers, data governance analysts, data modelers, testers, and production operation personnel. You will be working closely with the agile leader, data product owner, principal architect, and other functional leads from security, cloud, testing and data modeling. The core architecture of the platform is a modern streaming for transaction level performance and analytical pipelines with the medallion and OneLake architecture. The top opportunity for this position involves overseeing the implementation of a new architecture designed to replace the majority of current analytical platforms and data processes. What you will be doing Designing, building, testing, and production support of analytical pipelines Implementing DataBricks streaming and analytical data processes Leading design and coding standards including code reviews Building and re-using data tests for subsequent releases Delta tables with streaming pipelines including APIs for UX consumption Spark performance optimization including cluster and coding optimization methods Production monitoring and defect resolution CI/CD implementation in analytical pipelines Capable of performing POCs to demonstrate the utility of new coding, DataBricks or other platform features such as AI programming and testing code generation. What you bring Capable of influencing other technical leaders and teams to align to common practices, frameworks, and tool usage patterns. Capable of being proactive with business leadership on solution options and recommendations that address their requirements including how business data self service data processes are integrated into the architecture. Experience using Agile methodologies and creating good stories that complete a solution Capable of performing software engineering disciplines from design, build, testing and production support. Capable of leading technical projects and decomposing work across team members. Ability to mentor and develop other data professionals so they can grow and advance. Comfortable dealing with ambiguity where you influence or drive the process Nice to have Insurance business process and data expertise Medical data knowledge Data governance data needed by business consumers coming from the data pipelines you lead Employee Benefits & Well-Being Genworth employees make a difference in people's lives every day. We're committed to making a difference in our employees' lives. Competitive Compensation & Total Rewards Incentives Comprehensive Healthcare Coverage Multiple 401(k) Savings Plan Options Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!) Generous Paid Time Off - Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave Disability, Life, and Long Term Care Insurance Tuition Reimbursement, Student Loan Repayment and Training & Certification Support Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management) Caregiver and Mental Health Support Services The base salary pay range for this role starts at a minimum rate of $ 120,000 up to the maximum of $200,000. In addition to your base salary, you will also be eligible to participate in an incentive plan. The incentive plan is based on performance and the target earning opportunity is 15% of your base compensation. The final determination on base pay for this position will be based on multiple factors at the time of this job posting including but not limited to geographic location, experience, and qualifications to ensure pay equity within the organization.

The Sr Cloud Data Engineer will engage in a broad range of tasks related to the development, deployment, and maintenance of cloud-based infrastructure and applications. Responsibilities include enabling collaboration, automation, and efficiency in the development of cloud-based micro frontend applications, thereby facilitating the rapid delivery of high-quality software and services to customers. This position requires technical proficiency in AWS cloud development with Data engineering & full stack skills including glue, Athena, RDS, Snowflake Integrations, ELT&ETLs, lambda, API Gateway, node js and react js etc., adherence to software engineering best practices, and alignment with the agency's technical direction & data policies. Additionally, the role involves collaboration with teams on leveraging the possibilities of common components and technology solutions to ensure successful adoption and implementation. The hourly pay rate is $60-72/hr and based on experience. 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 - 10+ years' experience in Cloud Engineering/Data Engineering with 10+ years' experience using Python and/or NodeJS AWS technologies - Expertise in developing AWS full stack applications: Translate business requirements into fully tested applications workflows by designing, implementing, and maintaining technology assets using approved tools and plugins for AWS for python. - Proficiency in data services orchestrion: Strong proficiency in cloud platforms, leveraging native cloud services data orchestration solution. - Expertise in designing, developing, and maintaining APIs specifically tailored for cloud environments including AWS API Gateway. - Understanding of cloud networking concepts including VPCs, subnets, security groups and cloud security best practices, including identity and access management (IAM). Securing application through role-based authorization, single sign on, and Coginto - Experience with serverless computing concepts, event-driven architecture, and serverless platforms. - Automate the provisioning and management of cloud infrastructure using tools like AWS CloudFormation and Terraform. - Ability to write scripts and automate tasks using scripting languages including NodeJS and Python. - Experience in setting up alerts, dashboards, and logs for cloud infrastructure and applications. - Strong understanding of DevOps practices, including developing and optimizing CI/CD pipelines, version control, and collaboration tools including AWS CodePipeline and Github. - AWS Data Engineer Associate and Solution Architect Professional Certification

Data Engineer III 12 Months Contract (potential extension or conversion) Clearance Requirements: U.S. Citizenship required and must be eligible to obtain a Public Trust Clearance Pay Rate: $85-$95/hour Position Description: We are seeking an experienced Data Engineer III to join a high-impact, technology-driven environment supporting critical financial and data platforms. In this role, you will design, build, and optimize scalable data pipelines and architectures that enable advanced analytics, reporting, and business intelligence. You will collaborate closely with Data Scientists, Analysts, and Engineering teams to ensure data solutions are secure, reliable, and aligned with evolving business needs. This is an intermediate-level role ideal for a data professional who enjoys solving complex data challenges, improving system performance, and contributing to enterprise-scale data initiatives in a collaborative, agile setting. Key Responsibilities: * Design, develop, and maintain scalable, secure, and repeatable data pipelines (ETL/ELT) to support analytics and reporting needs * Build and enhance data architecture aligned with enterprise data strategy and business intelligence initiatives * Design logical data models and implement optimized physical database structures * Develop and maintain operational data stores, data marts, and data warehouse solutions * Ensure data quality, integrity, availability, and security across data platforms * Support real-time and batch data processing workflows to meet business requirements * Optimize data pipelines by improving performance, reducing complexity, and enhancing maintainability * Partner with Data Scientists and data consumers as a trusted advisor to identify data issues and guide resolution * Conduct design and code reviews related to databases, tables, and data warehouse architecture * Document data flows, data access controls, data quality standards, and system dependencies * Build and maintain reusable query libraries for recurring data and reporting requests * Support CI/CD pipelines and Agile development processes Required Skills / Education: * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience) * 1+ years of hands-on experience in data engineering or related roles * Intermediate experience with data warehouse architecture, data modeling, and data processing pipelines * Strong understanding of ETL/ELT frameworks and best practices * Experience with scripting languages (e.g., Python, SQL, or similar) * Working knowledge of big data tools and modern data platforms * Experience with cloud-based data environments and services * Familiarity with CI/CD tools, pipelines, and Agile/Scrum methodologies * Understanding of data security, governance, and privacy standards * Strong analytical, problem-solving, and critical-thinking skills * Excellent written and verbal communication skills * High attention to detail and commitment to data quality About Seneca Resources At Seneca Resources, we are more than just a staffing and consulting firm-we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team that advocates for you every step of the way. Seneca Resources is proud to be an Equal Opportunity Employer and is committed to fostering a diverse, inclusive, and equitable workplace. All qualified individuals are encouraged to apply.

**A Day in the Life:** The **Senior Data Engineer, PySpark** will be responsible for building and maintaining data pipelines and workflows that support ML, BI, analytics, and software products. This individual will work closely with data scientists, data engineers, analysts, software developers and SME's within the business to deliver new and exciting products and services. The main objectives are to develop data pipelines and fully automated workflows to drive operational efficiency and effectiveness by enabling data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL LEADERSHIP + Development of high-quality code for the core data stack including data integration hub, data warehouse and data pipelines. + Build data flows for data acquisition, aggregation, and modeling, using both batch and streaming paradigms + Empower data scientists and data analysts to be as self-sufficient as possible by building core systems and developing reusable library code + Support and optimize data tools and associated cloud environments for consumption by downstream systems, data analysts and data scientists + Ensure code, configuration and other technology artifacts are delivered within agreed time schedules and any potential delays are escalated in advance + Collaborate across developers as part of a SCRUM or Kanban team ensuring collective team productivity + Participate in peer reviews and QA processes to drive higher quality + Ensure that 100% of code is well documented and maintained in source code repository. INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Proactively educate others on basic data management concepts such as data governance, master data management, data warehousing, big data, reporting, data quality, and database performance. + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of leadership within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + 5+ years professional experience as a data engineer, software engineer, data analyst, data scientist or related role + Strongly prefer hands on experience with DataBricks or Palantir + Experience with relational and dimensional database modelling (Relational, Kimball, or Data Vault) + Proven experience with all aspects of the Data Pipeline (Data Sourcing, Transformations, Data Quality, Etc...) + Bachelors or Masters in Computer Science, Information Systems, or an engineering field or equivalent work experience + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays preferred + Prefer experience with event driven architectures and data streaming pub/sub technologies such as IBM MQ, Kafka, or Amazon Kinesis. + Strong capabilities in a scripting language such as Python, R, Scala, etc. + Strong capabilities in SQL and experience with stored procedures + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Kinsale is seeking a Lead Data Engineer who is passionate about building scalable, future-focused data solutions. As we continue our modernization and cloud journey, this role will not only design and implement technical solutions but also recommend strategic direction for how our data platforms evolve to meet long-term business goals. The Lead Data Engineer will partner closely with the Enterprise and Application Architects, Data Architects, Data Director, and business leaders to define enterprise-wide data engineering standards, ensure process consistency, and influence technology adoption. Responsibilities Architecture & Strategy Lead the design and evolution of cloud-native database and data access architectures to support both transactional and analytical workloads. Recommend the strategic direction for Kinsale's data access layer, ensuring scalability, flexibility, and cost efficiency. Evaluate and drive adoption of data technologies to maintain competitive advantage. Data Engineering Leadership Serve as the primary technical leader for databases and data integration services. Establish and enforce best practices for data engineering, including standards for CI/CD, data security, resilience, and disaster recovery as well as working with Enterprise Architecture to develop and ensure the data team meets enterprise standards. Lead cross-functional projects to integrate new data sources and expand data capabilities across underwriting, actuarial, and analytics teams. Provide oversight and mentoring to data engineers, fostering a culture of innovation, continuous learning, and knowledge sharing. Operational Excellence Direct the development, testing, and maintenance of scalable database and ETL architectures. Monitor system performance and lead initiatives to improve data reliability, quality, and efficiency. Drive the implementation of automated monitoring, alerting, and self-healing systems to ensure platform resiliency. Analyze and resolve complex issues related to database platforms, integrations, or performance bottlenecks. Innovation & Generative AI Champion the responsible adoption of Generative AI tools (e.g., GitHub Copilot, ChatGPT, Claude Code, etc.) to accelerate development, automate repetitive tasks, and enhance productivity. Develop and teach prompting strategies for data engineering use cases (SQL generation, data profiling, data validation). Lead adoption of GenAI-assisted scripting and playbook generation, ensuring secure and compliant usage across the team. Cross-functional Collaboration Collaborate with IT, Security, and Compliance teams to ensure regulatory alignment in data handling and access. Partner with business stakeholders to translate requirements into scalable, efficient data solutions. Act as a trusted advisor across multiple disciplines, influencing architectural decisions across engineering teams. Qualifications Bachelor's degree in Computer Science, Computer Engineering, or related field. Proven expertise designing and leading cloud-native data platforms at scale (AWS preferred). Demonstrated ability to set strategic direction for data platforms, balancing innovation, governance, and cost efficiency. • Advanced SQL and deep knowledge of relational (Oracle, PostgreSQL, SQL Server, MySQL) and non-relational databases (DynamoDB, MongoDB). Strong proficiency in programming/scripting (Python, SQL, Java, etc.) and automation frameworks. Experience leading distributed data systems (Kafka, Spark, or similar) is highly desirable. Expertise in data security, privacy, and governance. Hands-on experience with Agile practices. Strong leadership, communication, negotiation, and conflict resolution skills with a track record of influencing cross-functional teams. Ability to manage multiple priorities, drive strategic initiatives, and mentor team members. At Kinsale we offer the following great benefits: Competitive salary with performance-based bonus opportunities Single and Family Health, Dental and Vision Insurance plans with HSA funds contributed Short-Term and Long-Term disability Life Insurance Matching 401(k) with no vesting time period Generous Paid Time Off and Holidays Education dollars for training, conferences and certifications Promotion from within the company with clear goals and developed career paths Kinsale values strong financial responsibility. A credit check will be conducted as a part of the selection process for roles that require sound judgement, trustworthiness, or access to sensitive information.

With More than 10 Years of Industry Experience We are dedicated to developing right connections between Candidates and the Employers We care about our candidates and our clients equally and work towards developing a positive working relationship between them to achieve their goals. Job Description Big Data Engineer/Cloud Data Engineer in Richmond, VA Qualifications * 9+ years of experience in software development including design, coding and testing * Must have hands on experience with Java, Spark Streaming and AWS * Spark Streaming - 1+ years * AWS - 2+ years * Java - 6+ years Additional Information All your information will be kept confidential according to EEO guidelines.

MARKETview gives colleges and universities an analytical advantage in achieving their goals. Using higher education's only aggregated, real-time student data set, we provide insights that are customized to address each partner's key objectives. We then follow that up with actionable steps they can use to make better, more informed enrollment, marketing, and financial aid decisions. Headquartered in Richmond, Virginia, the company serves a rapidly growing number of partners nationwide, helping them navigate the shifting landscape of higher education. Position Overview MARKETview Education Technology is seeking driven data engineering developers to join us as we build and manage the data infrastructure necessary to make higher education a more data-informed industry. These individuals will be critical contributors to a fast-growing, early-stage education technology business and will have the unique benefit of joining a supportive team of experienced professionals on the ground level. Individuals will support and maintain complex data storage systems and will be responsible for all aspects of development, performance tuning, and monitoring. Responsibilities: * Leverage analytic and technical skills to support ingestion and normalization of data from colleges and universities, ultimately making large and complex data sets more usable for our campus partners * Support the data and analytics team with client onboarding * Support ETL processes to load data to Azure SQL and Azure Data Lake utilizing standard Microsoft tools * Utilize SQL Data Tools and python to build ETL processes and solutions * Ensure data quality and security using best-in-class business intelligence tools and technology * Create technical documentation for databases to assist other team members in client communications * Collaborate with the data and analytics team as well as the client service team in support of our partners * Uphold the highest standards for data quality and integrity Minimum Requirements: * Bachelor's degree in computer science, information technology or related field or a database certification * Exposure to Microsoft Azure cloud computing platforms including Azure Data Factory (ADF), Databricks, Function Apps, and SQL * Exposure to programmatic languages for data manipulation such as python * Understanding of both structured and unstructured data storage * Proven ability to test and troubleshoot to solve complex technical problems * Impressive interpersonal and verbal communication skills * Ability to multitask and prioritize tasks appropriately Preferred Qualifications: * Exposure to working with large databases and developing data warehouses * Exposure to designing and developing dimensional models * Understanding of programmatic languages such as python for managing complex data Bonus Points: * Microsoft developer certifications Why MARKETview Education Partners? The MARKETview team is united by a common passion to increase higher education access while improving the performance of colleges and universities and the educational outcomes for students and families. This is the spirit that drives every client partner relationship, as we serve the mission of each with an unwavering commitment to their goals and success. We are looking for equally passionate team members with a similar disposition and willingness to put the success of others - partners and teammates - before their own. If this is you, you'll fit right in. Job Type: Full-time, on-site Location: Richmond, VA Equal Opportunity: MARKETview Education Technology is an equal opportunity employer. We are committed to building a diverse and inclusive environment for our employees and do not discriminate on the basis of any status protected under federal, state, or local law. Qualified candidates must be legally authorized to work in the United States without employer sponsorship for a work visa, both currently and in the future.

MARKETview gives colleges and universities an analytical advantage in achieving their goals. Using higher education's only aggregated, real-time student data set, we provide insights that are customized to address each partner's key objectives. We then follow that up with actionable steps they can use to make better, more informed enrollment, marketing, and financial aid decisions. Headquartered in Richmond, Virginia, the company serves a rapidly growing number of partners nationwide, helping them navigate the shifting landscape of higher education. Position Overview MARKETview Education Technology is seeking a skilled and motivated mid-level Data Engineer with 3-5 years of experience to help build and manage the data infrastructure that powers our insights platform. You'll play a key role in supporting complex data systems and ETL pipelines, working alongside a collaborative team of experienced professionals in a fast-growing, mission-driven environment. Individuals will support and maintain complex data storage systems and will be responsible for all aspects of development, performance tuning, and monitoring. Responsibilities: Develop and maintain robust ETL processes using Microsoft Azure tools (ADF, Data Lake, SQL) and Python. Support ingestion and normalization of large, complex data sets from higher education institutions. Collaborate with analytics and client service teams to ensure smooth client onboarding and data delivery. Monitor and optimize data workflows for performance, scalability, and reliability. Ensure data quality, integrity, and security using best-in-class BI tools and practices. Create and maintain technical documentation to support internal knowledge sharing and client communications. Contribute to the design and development of data models and data warehouse solutions. Minimum Requirements: Bachelor's degree in computer science, information technology or related field or a database certification 3-5 years of professional experience in data engineering or a related role. Hands-on experience with Microsoft Azure cloud services (ADF, Databricks, Function Apps, SQL) Proficiency in Python for data manipulation and ETL development. Solid understanding of structured and unstructured data storage. Strong troubleshooting and problem-solving skills. Impressive interpersonal and verbal communication skills Ability to multitask and prioritize tasks appropriately Preferred Qualifications: Exposure to working with large databases and developing data warehouses Exposure to designing and developing dimensional models Understanding of programmatic languages such as python for managing complex data Bonus Points: Microsoft developer certifications Why MARKETview Education Partners? The MARKETview team is united by a common passion to increase higher education access while improving the performance of colleges and universities and the educational outcomes for students and families. This is the spirit that drives every client partner relationship, as we serve the mission of each with an unwavering commitment to their goals and success. We are looking for equally passionate team members with a similar disposition and willingness to put the success of others - partners and teammates - before their own. If this is you, you'll fit right in. Job Type: Full-time, on-site Location: Richmond, VA Equal Opportunity: MARKETview Education Technology is an equal opportunity employer. We are committed to building a diverse and inclusive environment for our employees and do not discriminate on the basis of any status protected under federal, state, or local law. Qualified candidates must be legally authorized to work in the United States without employer sponsorship for a work visa, both currently and in the future.

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

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

About Us: Endurance IT Services provides Managed IT Services, Cybersecurity Solutions, and IT Consulting to help businesses stay secure and productive. We also offer IT Staffing for Direct -Hire, Contract -to -Hire, and Contract roles, plus internal full -time positions. Note: Some opportunities may not be exclusive and can change as we work with clients but our goal is always to help candidates find the right job. We are hiring on behalf of our client for a strategic technology consultant to lead a four -month engagement focused on evaluating and optimizing their sales forecasting infrastructure. This project is critical to shaping the client's future forecasting capabilities and delivering actionable insights for executive decision -making. Responsibilities Conduct a comprehensive analysis of two forecasting systems: Adaptive Workday (commercial solution) In -house Python -based system Validate forecasting accuracy and benchmark performance. Perform code -level audits of Python scripts for integrity and efficiency. Assess scalability, customization potential, and long -term viability. Deliver an executive -ready report with ROI analysis and strategic recommendations. Qualifications: Strong expertise in data science, forecasting models, and Python programming. Experience with system evaluation, performance benchmarking, and optimization. Ability to conduct technical audits and provide strategic recommendations. Excellent communication skills for delivering executive -level reports. Preferred Qualifications Familiarity with Adaptive Workday or similar forecasting tools. Background in sales analytics, business intelligence, or financial modeling. Experience in ROI analysis and presenting findings to senior leadership. Knowledge of cloud -based forecasting solutions and scalability best practices.

Role : Data Scientist 4 Interview Mode: Both Web Cam and In Person Interview The Data Scientist (Business Intelligence/Data Reporting Analyst) ON SITE: 1 -2 days on site each week as needed ABOUT THE ROLE Primary responsibilities include collect the business requirements by working with project team, conduct complex data mining analysis, and develop complex strategic reports and dashboards. Seeking one Data Scientist (Business Intelligence/Data Reporting Analyst) who will be responsible for working closely with Customer Engagement project teams to provide the customer with business analysis expertise, report creation and dashboard design, in a tactical capacity, evaluating internal and external client requirements and implementing effective solutions in a timely manner. The selected candidate will gather, analyze, and document functional/reporting requirements (i.e., user stories using interviews, documentation analysis, site visits, use cases, scenarios) and design, assemble and deliver reports and Monthly Operations Review Scorecard dashboard for DBHDS Business Report Process Management platform in a manner consistent with client expectations. Job Requirements: • Ability to consolidate, interpret and present data in reports/dashboards for Executive, Team Leads and Individual End Users focused on Acquisition and Financial Information. • Ability to produce reports and dashboard using Microsoft Power BI and other data reporting tools. • Ability to define and document customer business processes and report/dashboard content needs including business process diagrams, data maps, and data modeling. • Ability to Consult with project team members and customer stakeholders to identify, define, and document business needs and objectives, current reporting capabilities, and challenges related to the business functions. • Collaborate with the DBHDS project managers, technical analysts, and customer end-users in the analysis, design, configuration, testing and maintenance of the Business Intelligence module of DBHDS Business Process Management Platform to ensure desired operational performance and capabilities. • Track and document changes for functional and business specifications; write detailed universally understood procedures for testing uses cases, knowledge capture and training purposes. • Achieve proficiency in all major Reporting/Analytic products, including the software suite: through internal staffing training, self-guided tutorials, and daily exposure to individual product feature sets. • Innovative Solutions to Support Complex Business Processes, focused on very complex data mining analysis, coordinating the activities of a project team, and developing complex strategic report applications • Provide support for a variety of meetings, demonstrations, and program activities related to Business Intelligence. • Test reports/dashboard projects in accordance with business and functional design following best practices for quality assurance. • Record and track defects uncovered during test execution and assist in defect resolution troubleshooting and researching). Comprehension of change management processes. Other duties as assigned. Required Experience: • 5+ years prior business data analyst experience. • Ability to work in a team-oriented environment for a matrixed organization. • Strong knowledge and experience with data reporting tools including Microsoft Power BI, SSRS, etc. • Knowledge of SQL Databases like MS SQL Server and complex SQL Query Creation • Strong knowledge of productivity tools such as Microsoft Office (Word, Excel, Outlook). • Experience with Agile and SCRUM processes and methodologies. Familiarity with Government Processes, including Healthcare. • Knowledge of software development life cycle (SDLC) practices, principles, and techniques as they apply to Agile development process. • Excellent verbal and written communication skills, with proven ability to listen and relate with the customer. • Ability to effectively collaborate with internal and external customers. • Demonstrated analytical and problem-solving capabilities. • Proven ability to communicate technical details to a non-technical audience. • Excellent organizational and time management skills. Strong team player that is willing to always help other team members. Desired Experience: • Knowledge of the Healthcare Lifecycle or Behavioral Health a BIG Plus and those with this exp will be considered first but ONLY if this exp is clearly reflected on the resume. • Ability to develop training materials and conduct end-user training sessions.