Data Engineer jobs at ANSER - 859 jobs

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures. The opportunity You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints. Your key responsibilities In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include: As Data Architect - Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them. Skills and attributes for success To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include: Technical Skills Applications Integration Cloud Computing and Cloud Computing Architecture Data Architecture Design and Modelling Data Integration and Data Quality AI/Agentic AI driven data operations Experience delivering business use cases in Transmission / Distribution / Generation / Customer. Strong relationship management and business development skills. Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems. Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements. Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects. Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions. Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement. Establish data governance policies and practices, including data security, quality, and lifecycle management. Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities. To qualify for the role, you must have A Bachelor's degree required in STEM 12+ years professional consulting experience in industry or in technology consulting. 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions. 5+ years' experience with native cloud products and services such as Azure or GCP. 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development. In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration. Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications. Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably. Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes. Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations. Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala. Ability to design data solutions that can scale horizontally and vertically while optimizing performance. Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads. Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps). Practical understanding of data encryption, access control, and security best practices to protect sensitive data. Experience leading Infrastructure and Security engineers and architects in overall platform build. Excellent leadership, communication, and project management skills. Data Security and Database Management Enterprise Data Management and Metadata Management Ontology Design and Systems Design Ideally, you'll also have Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience. Experience working at big 4 or a major utility. Experience with cloud data platforms like Databricks. Experience in leading and influencing teams, with a focus on mentorship and professional development. A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. The ability to foster an inclusive environment that values diverse perspectives and empowers team members. Building and Managing Relationships Client Trust and Value and Commercial Astuteness Communicating With Impact and Digital Fluency What we look for We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role. FY26NATAID What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** . #J-18808-Ljbffr

A leading consulting firm is looking for a Senior Manager in Data Architecture focusing on the Power & Utilities sector. The ideal candidate will have over 12 years of experience, especially in delivering data solutions and managing complex technology projects. You will lead transformative projects, mentor teams, and engage with clients to drive innovative solutions and continuous improvement. This role offers a competitive salary range, comprehensive benefits, and opportunities for professional development in a dynamic environment. #J-18808-Ljbffr

A global consulting firm seeks a Senior Manager in Data Architecture to enhance their capabilities in the Power & Utilities sector. This role requires 12+ years of consulting experience and expertise in architecting data solutions, cloud services, and team leadership. Responsibilities include managing complex projects, driving innovative solutions, and engaging with clients. The ideal candidate will possess strong technical skills and have a proven history of delivering impactful data solutions while mentoring teams. A competitive salary and flexible working environment are offered. #J-18808-Ljbffr

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures. The opportunity You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints. Your key responsibilities In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include: As Data Architect - Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them. Skills and attributes for success To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include: Technical Skills Applications Integration Cloud Computing and Cloud Computing Architecture Data Architecture Design and Modelling Data Integration and Data Quality AI/Agentic AI driven data operations Experience delivering business use cases in Transmission / Distribution / Generation / Customer. Strong relationship management and business development skills. Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems. Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements. Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects. Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions. Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement. Establish data governance policies and practices, including data security, quality, and lifecycle management. Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities. To qualify for the role, you must have A Bachelor's degree required in STEM 12+ years professional consulting experience in industry or in technology consulting. 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions. 5+ years' experience with native cloud products and services such as Azure or GCP. 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development. In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration. Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications. Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably. Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes. Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations. Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala. Ability to design data solutions that can scale horizontally and vertically while optimizing performance. Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads. Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps). Practical understanding of data encryption, access control, and security best practices to protect sensitive data. Experience leading Infrastructure and Security engineers and architects in overall platform build. Excellent leadership, communication, and project management skills. Data Security and Database Management Enterprise Data Management and Metadata Management Ontology Design and Systems Design Ideally, you'll also have Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience. Experience working at big 4 or a major utility. Experience with cloud data platforms like Databricks. Experience in leading and influencing teams, with a focus on mentorship and professional development. A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. The ability to foster an inclusive environment that values diverse perspectives and empowers team members. Building and Managing Relationships Client Trust and Value and Commercial Astuteness Communicating With Impact and Digital Fluency What we look for We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role. FY26NATAID What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** . #J-18808-Ljbffr

Below are the 3 roles open: 1) Data Engineer 2) Data Scientist 3) Data Architect Job Descriptions: Data Engineer Design, build, and optimize batch and real-time data pipelines using Python, SQL, Airflow, Kafka, and AWS Glue Lead scalable ETL and data lake architectures across distributed cloud environments Ensure data quality, governance, security, and compliance while supporting analytics and data science needs Mentor junior engineers and collaborate with stakeholders to deliver reliable, well-documented data solutions Data Scientist 3+ years of experience in statistical modeling and applied data analysis, including regression, classification, clustering, and time-series analysis Proficient in Python or R, with hands-on experience in data wrangling, visualization, and model development Strong experience with SQL/Spark SQL, basic data modeling, and cloud platforms (AWS, Azure, or GCP) Excellent ability to communicate complex insights and manage multiple priorities effectively Data Architect: Lead and mentor data engineering teams while architecting and building enterprise-scale data platforms from design through production Develop and optimize production-grade ETL/ELT pipelines, data models, and data warehouses using Python, SQL, PySpark, and cloud platforms (AWS/GCP) Implement CI/CD, data governance, quality frameworks, and secure, compliant data solutions aligned with federal/VA standards Collaborate with cross-functional stakeholders to translate business requirements into scalable, high-quality data solutions

Job Title: Data Scientist Workplace: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance adjudicated within the past 4 years Supports U.S. Customs and Border Protection. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics. Requirements: Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least three (3) years of direct experience in machine learning. Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience. Demonstrates knowledge of data mining methods, databases, data visualization and machine learning. Ability to communicate analysis techniques, concepts and products. Ability to develop data-driven solutions, data models, and visualizations Preferred Experience and Skills: Expertise using Qlik to embed visualizations into webpages Familiarity with Databricks or similar cloud-based distributed database technologies Familiarity with PySpark and Python Comfortable developing complex SQL queries to extract, transform, and load data Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA) Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs. Why apply to this position at Elder Research? Competitive Salary and Benefits Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. Remote Work: in an industry of declining remote work opportunities. People-Focused Culture: we prioritize work-life-balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement. Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits. About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Job Title: Data Scientist Workplace: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance adjudicated within the past 4 years Supports U.S. Customs and Border Protection. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics. Requirements: * Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least three (3) years of direct experience in machine learning. * Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience. * Demonstrates knowledge of data mining methods, databases, data visualization and machine learning. * Ability to communicate analysis techniques, concepts and products. * Ability to develop data-driven solutions, data models, and visualizations Preferred Experience and Skills: * Expertise using Qlik to embed visualizations into webpages * Familiarity with Databricks or similar cloud-based distributed database technologies * Familiarity with PySpark and Python * Comfortable developing complex SQL queries to extract, transform, and load data * Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA) * Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs. Why apply to this position at Elder Research? * Competitive Salary and Benefits * Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States. * Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. * Remote Work: in an industry of declining remote work opportunities. * People-Focused Culture: we prioritize work-life-balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement. * Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

Job Title: Data Scientist (U.S. Intelligence Community) Workplace: On-site (hands-on access to high impact data systems needed) Clearance Required: TS/SCI with Polygraph Why Join Elder Research * Mission-Driven Work: Support the U.S. Intelligence Community by building secure, scalable data systems that enable real-time insights. * Career Stability: We hire for careers, not contractsour work is growing * People-Focused Culture: We value work-life balance, collaboration, and professional growth. * Ownership Mindset: Every employee is a shareholder through our Employee Stock Ownership Plan (ESOP). * Competitive Pay & Benefits: * Typical salary range: $117k-$196K, depending on experience and contract labor category * 401(k) with employer contribution * Health, dental, and vision coverage * Paid parental leave and flexible PTO Ready to make an Impact? Message our recruiting team directly at:

The Senior Data Engineer (Matillion for Snowflake) will be responsible for development and delivery of the Allegis Analytics Warehouse in our cloud-based Data Platform. The Engineer will perform Code reviews, estimate the effort based on solutions guided by Architects and participate in Databases Designs, Development, and ELT solutions to support all consumers across the entire Enterprise Responsibilities Essential Functions: Assist in writing and reviewing the design and Code specifications for solutions as identified by Data/Domain Architects. Maintains a working knowledge of new technologies and adopts suitable concepts for the organization to help move their organizations forward. Code, test and support existing and new systems as necessary to support Analytics and Reporting applications. Ability to Code, design and deliver data solutions that are reliable, scalable, and perform at a high-level to meet the service levels associated with mission-critical reporting and AI/ML used cases. Conduct code reviews and handles continuous Integration and deployment. Streamlines existing applications and systems to ensure integration and ease of use. Monitors systems' technical performance and identifies opportunities to deliver data as quickly as possible Collaborates with developers, architects, project managers and business analysts in developing new reporting structures that will stand the test of time. Responds to support incidents and resolve issues for newly released code Works collectively with Global team and architects, with guidance in delivering solutions Communicates difficult or sensitive topics and works to build consensus. Ability to tune SQL statements/queries; knowledge of optimal tuning techniques. Ability to analyze data and abstract relationships, meaning, and forensics from data profiling Demonstrated level of technical knowledge and understanding of architecture, application systems design and data integration Ability to mentor and guide junior team members Experience working on technical initiatives from concept to implementation while ensuring alignment with broader team goals. Qualifications Minimum Education and/or Experience: 8 + years of overall experience with: 5+ years leading and implementing data lake and warehouse platforms Designing and developing database systems and/or applications in a diverse environment Experience in Snowflake (preferred) or other modern cloud data lake and warehouse platforms Extensive experience with ELT preferably with Matillion or other analogous modern ELT technologies for cloud data and integration Ability to tune SQL statements/queries, knowledge of optimal tuning techniques. Experience programming in Python or modern programming languages Knowledge in building AI-Driven data solutions, including feature engineering, embeddings or ML/LLM enabled pipelines with preference for Snowflake based implementations Well verse with Dimensional Modeling Mentoring and guiding team members Skills/Abilities: Team-oriented, can-do, self-starter attitude Ability to solve complex technical and/or logic challenges Ability to work in a fast passed environment Benefits Overview: Benefits are subject to change and may be subject to specific elections, plan, or program terms. This role is eligible for the following: Medical, dental & vision Hospital plans 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents) Company paid Short and long-term disability Health & Dependent Care Spending Accounts (HSA & DCFSA) Transportation benefits Employee Assistance Program Tuition Assistance Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave) Salary Range: $98,000-$147,000 The position is bonus eligible Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Office Requirements: Required in office 2 days a week out of our headquarters in Hanover, MD or offices in Jacksonville, FL Core Competencies: Building Relationships Develop People Lead Change Inspire Others Think Critically Communicate Clearly Create Accountability “ Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors .” The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email Lauren Lara at ********************** or call ************ for other accommodation options.

Job Title: Data Scientist (U.S. Intelligence Community) Workplace: On-site (hands-on access to high impact data systems needed) Clearance Required: TS/SCI with Polygraph Why Join Elder Research Mission-Driven Work: Support the U.S. Intelligence Community by building secure, scalable data systems that enable real-time insights. Career Stability: We hire for careers, not contracts our work is growing People-Focused Culture: We value work-life balance, collaboration, and professional growth. Ownership Mindset: Every employee is a shareholder through our Employee Stock Ownership Plan (ESOP). Competitive Pay & Benefits: Typical salary range: $117k-$196K, depending on experience and contract labor category 401(k) with employer contribution Health, dental, and vision coverage Paid parental leave and flexible PTO Ready to make an Impact? Message our recruiting team directly at: **************************** Position Overview: We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges. These positions will be part of our Defense and Intelligence Business unit serving the Intelligence Community as our primary customer. Essential Functions: As a Data Scientist, you will: Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets. Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics. Design and execute experiments or create models to generate data when training datasets are unavailable. Generate reports and visualizations that provide actionable insights and summarize data findings for clients. Translate complex data analysis into clear, actionable recommendations. Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks. Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects. Apply expert knowledge in data science to deliver solutions that address clients' business needs. Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics to continuously improve the quality of your work. This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights. You will work closely with clients, managers, and technical staff to understand business needs and deliver effective, data-driven solutions that enhance decision-making and operational effectiveness. Requirements: A current TS/SCI with Polygraph is required for this role. BA/BS in Math, Statistics, Engineering, Computer Science, or related field Proficiency with Python and R. Experience using large data sets to solve problems. Knowledge of and experience with machine learning, data wrangling, advanced statistical data analysis and modeling. AWS or Cloud experience. Ability to communicate complex models and concepts effectively in non-technical language. Desired Qualifications: Bachelors Degree with 4+ years of relevant experience. Masters Degree with 2+ years of relevant experience. PhD. with 1+ years of relevant experience. Familiarity with commercial and open-source data science software. Familiarity with relational databases: Oracle, SQL, and ETL tools. Salary and Benefit Information: The likely salary range for this position is $117,000-$196,000. This is not, however, a guarantee of compensation or salary. Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range. Elder Research values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off. About Elder Research, Inc Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - for example, each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Job Summary We are seeking a Scientific Data Visualization Engineer to build and deliver high-impact analytical tools for Translational Medicine scientists and Biologists. This is a hybrid role that combines front-end development with data stewardship. You will not only develop interactive applications using R Shiny and TIBCO Spotfire but also act as a data steward to ensure the underlying clinical and biomarker data is high-quality, FAIR, and automated. You will serve as the technical bridge between the raw data infrastructure and scientific end-users. Key Responsibilities Design and deploy a mix of custom R Shiny applications, framework-based tools (e.G., teal), and TIBCO Spotfire dashboards to answer complex scientific questions. Apply engineering best practices to automate dashboard updates and data pipelines;ensure visualizations are not static but are integrated into live data workflows. Partner with Data Engineers to define efficient schemas and views in the Data Lake (Azure Fabric) that optimize front-end performance and latency. Collaborate directly with biologists and translational scientists to translate abstract research questions into concrete visual queries (e.G., "Visualize responders vs. Non-responders by gene expression"). Debug and refine dashboard code to handle large-scale multi-omics datasets without compromising user experience Partner with IT and Translational Sciences to define and implement data ingestion patterns for clinical biomarker datasets. Act as a data steward, ensuring data quality, metadata standards, and FAIR compliance for internal translational and clinical data assets. Support governance processes for data lifecycle management and documentation. Provide technical expertise on data engineering best practices and contribute to automation of ingestion workflows. Minimum Qualifications Education: Bachelor s or Master s degree in Data Science, Computer Science, Bioinformatics, or related field. Experience: 3-5 years of professional experience in data visualization, data engineering, computational biology, or software engineering. Core Technical Stack: Advanced proficiency in R (specifically Shiny, reactive programming, and package development) and TIBCO Spotfire. Data Engineering Fluency: Strong grasp of ETL concepts and automation;ability to write complex SQL and scripts to automate data preparation. Cloud Familiarity: Experience connecting R/Spotfire applications to cloud data sources (e.G., Azure Fabric, Databricks, AWS). Framework Flexibility: Experience with Shiny frameworks (such as teal or golem) and the ability to build custom solutions. Stewardship Mindset: Experience with data governance, metadata management, or FAIR data principles. Preferred Qualifications Familiarity with clinical data standards including SDTM, ADaM, and biomarker data formats (NGS variant results, flow cytometry, serum proteomics, gene expression profiling) Familiarity with Python for interoperability with backend engineering tasks. UX/UI Design: Knowledge of HTML/CSS/JavaScript to customize the look and feel of Shiny apps. Experience with database systems, APIs, and query optimization. Kaztronix is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, sex, age, religion, disability, veteran status or any other consideration made unlawful by federal, state or local laws. In addition, all human resource actions in such areas as compensation, employee benefits, transfers, layoffs, training and development are to be administered objectively, without regard to race, color, religion, age, sex, national origin, disability, veteran status or any other consideration made unlawful by federal, state or local laws. By applying to the position, you acknowledge that your information will be used by Kaztronix in processing your application.

Job Summary We are seeking a Lead Data Engineer to architect and execute high-impact data integration strategies across the organization. While the primary focus is enabling the enterprise Translational Data Lake, this is a broader role that will drive various scientific data engineering initiatives across the research pipeline. This is a hands-on technical role: the successful candidate must be a "player-coach" capable of designing scalable architectures and writing the production code to implement them. You will partner with IT and Computational Biology and other Research functions to transform raw multi-modal data into actionable assets. Key Responsibilities Act as a hands-on technical lead who not only defines the architecture but also codes, deploys, and maintains scalable ETL pipelines and data structures. Spearhead the technical implementation of the Translational Data Lake data ingestion, managing the ingestion of complex datasets (genomics, proteomics, imaging, lab data, etc.) into modern cloud architectures. Broader Research Integration: Lead data engineering projects beyond the Data Lake, designing bespoke integration solutions for diverse scientific data sources across the Research organization. Data Transformation: Design and script automated procedures to normalize unformatted data from external vendors (CROs) into a structured Common Data Model (CDM). Technical Collaboration: Partner with various functions in Research and IT to align infrastructure with scientific needs, ensuring solutions are robust, FAIR-compliant, and scalable. Develop and communicate the technical vision for biomarker data integration and reuse. Architect and implement scalable ETL procedures, APIs and front-end tools for data access and visualization. Engage stakeholders to gather requirements and incorporate feedback into design. Lead user acceptance testing (UAT) and ensure high-quality deliverables. Collaborate with IT and Translational leads to align infrastructure and governance processes. Champion FAIR principles and interoperability across translational and clinical programs. Minimum Qualifications Education: Bachelor s or master s degree in computer science, Data Engineering, Bioinformatics, or related field Experience: 8+ years of professional experience in data engineering or software architecture, with a focus on building production-grade data pipelines Expert-level coding proficiency in Python with specific mastery of modern data engineering libraries (Pandas, PySpark, Dask, SQLAlchemy). Advanced proficiency with SQL, workflow orchestration tools (Airflow, Dagster, or Prefect), and containerization (Docker/Kubernetes). Cloud Architecture: Deep experience with modern Data Lake and Lakehouse architectures (e.G., Azure Fabric, Databricks, Snowflake), with a proven track record of connecting and integrating disparate data sources. Data Modeling: Solid understanding of data modeling, ETL processes, and schema design for complex datasets. API Development: Experience designing and deploying APIs for data access Excellent communication skills to bridge the gap between IT infrastructure and scientific stakeholders Familiarity with FAIR principles and metadata standards for scientific data. Excellent communication and collaboration skills. Preferred Qualifications Familiarity with clinical data standards including SDTM, ADaM, and CDISC, and biomarker data formats (NGS variant results, flow cytometry, serum proteomics, gene expression profiling). Direct experience with Azure Fabric tools for connecting and integrating data sources. Proficiency in R for interoperability with bioinformatics teams Kaztronix is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, sex, age, religion, disability, veteran status or any other consideration made unlawful by federal, state or local laws. In addition, all human resource actions in such areas as compensation, employee benefits, transfers, layoffs, training and development are to be administered objectively, without regard to race, color, religion, age, sex, national origin, disability, veteran status or any other consideration made unlawful by federal, state or local laws. By applying to the position, you acknowledge that your information will be used by Kaztronix in processing your application.

PSG, INC. is an agile consulting firm with competencies in Business Operations, Human Capital Management, Finance & Program Management, IT, Security, Research & Data Science, Recruiting and Business Process Re-Engineering. PSG is an industry leader in Financial Management, Program and Acquisition Management, and Business Process Improvement - providing innovative solutions for data-centric organizations. We are experts, highly skilled at creating solutions that enable complex business processes. Our solutions range from internally developed software solutions for industry-specific challenges, to large-scale, multi-faceted custom systems. We help our clients improve accuracy, efficiency, and costs. We give managers better control of their processes, provide data to key decision makers, and gain insight into their business processes - collecting, analyzing, and presenting data in ways that empower individuals is what we're all about. At PSG, we view our clients as partners. We work closely with them to understand their business and its hurdles. Our success is based on our Partner's success - their problem is our passion. PSG leverages progressive technologies to provide technical applications that maximize the value of the organization's data. We help organizations achieve its mission more effectively and efficiently by designing, evaluating, and implementing solutions from a thorough understanding of their business. Job Description The Data Engineer shall provide data analytics, data management, and data architecture support. All data related activities shall comply with appropriate laws and policies and take into consideration the protection of individuals' civil liberties and privacy. Data Engineer / Data Developer (Senior) Designs, develops, builds, analyzes, evaluates and installs database management systems to include database modeling and design, relational database architecture, metadata and repository creation and configuration management. Defines and oversees database organizations, standards, controls, procedures, and documentation. Provides technical consulting in the definition, design, and creation of a data base environment. Advises applications development staff and users on data-based solutions to business problems, data architectures, data base management system facilities and capabilities, and the operation and tuning of data bases. Ensures economic and efficient availability of data within adequate safeguards. Designs and implements databases with respect to access methods, access time, batch processes, device allocation, validation checks, organization, protection and security, documentation, and statistical methods. Uses data mapping, data mining and data transformational analysis tools to design and develop databases. Determines data storage and optimum storage requirements. Prepares system requirements, source analysis and process analyses and design throughout the database implementation. Data Engineer / Data Developer (Journeyman) Work with Senior Data Engineer to analyze unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures. Handle processing and index requests against high-volume collections of data and high-velocity data streams. Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions. Experience with machine learning, algorithm analysis, and data clustering. Work with more junior Data Engineers to elevate skills for breath and depth in the field. Qualifications Required Knowledge / Skills / Abilities: Applicable degree(s): Computer Information Systems, Computer Science, Database Administration, Geographic Information Systems, Information Security, Information Technology (IT), IT Management, Network Administration, Software Development, Technical Writing, or Web Design & Development. Demonstrated relevant expertise supporting U.S. Federal Government as a Database Administrator/Manager/Systems Engineer, with hands-on experience with database standards and end user applications. Minimum five (5) years' working knowledge of data backup, recovery, security, integrity and Structured Query Language (SQL). These five (5) years must be concurrent with the requisite years of work experience. Minimum five (5) years' working knowledge of database design, data modeling, and data mining techniques, query creation and report generation, documentation, coding, DBA case tools (frontend/backend) with third party tools, and programming languages application programming interface (API). These five (5) years may be concurrent with the requisite years of work experience. Minimum five (5) years' working knowledge of statistical packages for analyzing large datasets. These five (5) years may be concurrent with the requisite years of work experience. Ability to effectively establish and execute strategic and critical task priorities to demonstrate problem-solving skills, and to think algorithmically. Strong knowledge and experience with reporting packages and databases (SQL preferred), and some programming (JavaScript, XML, or ETL frameworks). Desired Knowledge / Skills / Abilities: Ability to understand U.S. Federal Government business needs, with strong analytical and organizational skills. Additional Information Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required . We are an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law. All your information will be kept confidential according to EEO guidelines.

PSG, INC. is an agile consulting firm with competencies in Business Operations, Human Capital Management, Finance & Program Management, IT, Security, Research & Data Science, Recruiting and Business Process Re-Engineering. PSG is an industry leader in Financial Management, Program and Acquisition Management, and Business Process Improvement - providing innovative solutions for data-centric organizations. We are experts, highly skilled at creating solutions that enable complex business processes. Our solutions range from internally developed software solutions for industry-specific challenges, to large-scale, multi-faceted custom systems. We help our clients improve accuracy, efficiency, and costs. We give managers better control of their processes, provide data to key decision makers, and gain insight into their business processes - collecting, analyzing, and presenting data in ways that empower individuals is what we're all about. At PSG, we view our clients as partners. We work closely with them to understand their business and its hurdles. Our success is based on our Partner's success - their problem is our passion. PSG leverages progressive technologies to provide technical applications that maximize the value of the organization's data. We help organizations achieve its mission more effectively and efficiently by designing, evaluating, and implementing solutions from a thorough understanding of their business. Job Description The Data Engineer shall provide data analytics, data management, and data architecture support. All data related activities shall comply with appropriate laws and policies and take into consideration the protection of individuals' civil liberties and privacy. Data Engineer / Data Developer (Senior) Designs, develops, builds, analyzes, evaluates and installs database management systems to include database modeling and design, relational database architecture, metadata and repository creation and configuration management. Defines and oversees database organizations, standards, controls, procedures, and documentation. Provides technical consulting in the definition, design, and creation of a data base environment. Advises applications development staff and users on data-based solutions to business problems, data architectures, data base management system facilities and capabilities, and the operation and tuning of data bases. Ensures economic and efficient availability of data within adequate safeguards. Designs and implements databases with respect to access methods, access time, batch processes, device allocation, validation checks, organization, protection and security, documentation, and statistical methods. Uses data mapping, data mining and data transformational analysis tools to design and develop databases. Determines data storage and optimum storage requirements. Prepares system requirements, source analysis and process analyses and design throughout the database implementation. Data Engineer / Data Developer (Journeyman) Work with Senior Data Engineer to analyze unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures. Handle processing and index requests against high-volume collections of data and high-velocity data streams. Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions. Experience with machine learning, algorithm analysis, and data clustering. Work with more junior Data Engineers to elevate skills for breath and depth in the field. Qualifications Required Knowledge / Skills / Abilities: Applicable degree(s): Computer Information Systems, Computer Science, Database Administration, Geographic Information Systems, Information Security, Information Technology (IT), IT Management, Network Administration, Software Development, Technical Writing, or Web Design & Development. Demonstrated relevant expertise supporting U.S. Federal Government as a Database Administrator/Manager/Systems Engineer, with hands-on experience with database standards and end user applications. Minimum five (5) years' working knowledge of data backup, recovery, security, integrity and Structured Query Language (SQL). These five (5) years must be concurrent with the requisite years of work experience. Minimum five (5) years' working knowledge of database design, data modeling, and data mining techniques, query creation and report generation, documentation, coding, DBA case tools (frontend/backend) with third party tools, and programming languages application programming interface (API). These five (5) years may be concurrent with the requisite years of work experience. Minimum five (5) years' working knowledge of statistical packages for analyzing large datasets. These five (5) years may be concurrent with the requisite years of work experience. Ability to effectively establish and execute strategic and critical task priorities to demonstrate problem-solving skills, and to think algorithmically. Strong knowledge and experience with reporting packages and databases (SQL preferred), and some programming (JavaScript, XML, or ETL frameworks). Desired Knowledge / Skills / Abilities: Ability to understand U.S. Federal Government business needs, with strong analytical and organizational skills. Additional Information Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required. We are an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law. All your information will be kept confidential according to EEO guidelines.

ByteCubed is a result-oriented and high impact consulting firm specializing in next generation software development and technology, delivering the most efficient strategies and cost-effective solutions that meet the ever-changing challenges that our clients face. Specialties: Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and solutions, PMO services, Innovation, R&D, Business Process and Improvements, and Software Engineering. Job Description ByteCubed is currently seeking a Big Data Engineer to work with a dynamic team building reusable SaaS components to ingest various types of data into a cloud environment using ETL tools, at our headquarters in Arlington, Virginia. Come find out why we have a perfect rating on Glassdoor! Responsibilities included, but not limited to: Implement aspects of application design - high-performance design, coding, caching mechanisms, security, encryption, state management, error logging, debugging, scalability, code reviews, environment configuration, and testing. Perform unit and system-level testing of applications. Develop reusable loosely-coupled software components to deploy on cloud platforms. Implement ETL processes. Implement business-layers as web service using Java, Spring Framework and JPA. Qualifications Basic Qualifications: Bachelor's Degree in Computer Science, Engineering or a related technical discipline. 5+ years of related software development experience, implementation of large enterprise systems or distributed computing environment Proficiency in Java, Spring, JPA and Hibernate. Proficiency in ETL development using tools such as Pentaho. Experience in solving big-data problems using Open Source technologies such as Hadoop/HDFS, Accumulo, Spark and HBase on a cloud platform. Proficiency in RDBMS including SQL Server, MySQL, Oracle. Proven track record of designing scalable, distributed software applications. Object-oriented design and programming experience. Due to the nature of work performed within our facilities, U.S. citizenship is required. Preferred Qualifications: 7+ years in Java, C# Cloudera ecosystems Hive, Pig, Impala, HBase, Mahout, Spark Department of Defense SECRET security clearance. Additional Information All your information will be kept confidential according to EEO guidelines. Please include resumes when replying to this post. Contact information for this poster can be found at: ********************************************************

ByteCubed is a result-oriented and high impact consulting firm specializing in next generation software development and technology, delivering the most efficient strategies and cost-effective solutions that meet the ever-changing challenges that our clients face. Specialties: Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and solutions, PMO services, Innovation, R&D, Business Process and Improvements, and Software Engineering. Job Description ByteCubed is currently seeking a Big Data Engineer to work with a dynamic team building reusable SaaS components to ingest various types of data into a cloud environment using ETL tools, at our headquarters in Arlington, Virginia. Come find out why we have a perfect rating on Glassdoor! Responsibilities included, but not limited to: Implement aspects of application design - high-performance design, coding, caching mechanisms, security, encryption, state management, error logging, debugging, scalability, code reviews, environment configuration, and testing. Perform unit and system-level testing of applications. Develop reusable loosely-coupled software components to deploy on cloud platforms. Implement ETL processes. Implement business-layers as web service using Java, Spring Framework and JPA. Qualifications Basic Qualifications: Bachelor's Degree in Computer Science, Engineering or a related technical discipline. 5+ years of related software development experience, implementation of large enterprise systems or distributed computing environment Proficiency in Java, Spring, JPA and Hibernate. Proficiency in ETL development using tools such as Pentaho. Experience in solving big-data problems using Open Source technologies such as Hadoop/HDFS, Accumulo, Spark and HBase on a cloud platform. Proficiency in RDBMS including SQL Server, MySQL, Oracle. Proven track record of designing scalable, distributed software applications. Object-oriented design and programming experience. Due to the nature of work performed within our facilities, U.S. citizenship is required. Preferred Qualifications: 7+ years in Java, C# Cloudera ecosystems Hive, Pig, Impala, HBase, Mahout, Spark Department of Defense SECRET security clearance. Additional Information All your information will be kept confidential according to EEO guidelines. Please include resumes when replying to this post. Contact information for this poster can be found at: ********************************************************

General Information Requisition # 643 Locations USA-VA-Arlington - Hybrid, USA-DC-Washington - Hybrid, USA-MD-Maryland - Hybrid, USA-VA-Virginia - Hybrid, USA - Remote - Eastern Time Zone Posting Date 01/22/2026 Security Clearance Required - Active IRS Public Trust w/ Background Investigation Remote Type Onsite/Hybrid Time Type Full time Description & Requirements As a Data Engineer, you will support the Internal Revenue Service s mission to combat tax fraud, identity theft, and non-compliance by designing and delivering secure, scalable, and automated data pipelines that power advanced analytics, machine learning models, and decision-support tools. You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions. Your work will enable fraud detection, audit prioritization, refund review, and compliance risk analysis across large, sensitive tax and financial datasets. This role sits within an analytics-focused business unit supporting IRS enforcement, compliance, and research initiatives, partnering closely with data science and analytics teams to ensure data products are production-ready, trustworthy, and mission-aligned. Responsibilities include but are not limited to: Troubleshoot and resolve complex data and system issues across cross-functional and mission-critical environments with minimal supervision Engineer solutions that integrate diverse data types, including transactional, financial, and textual data, to support compliance and fraud analytics Collaborate with data scientists and stakeholders to deploy analytics applications, dashboards, and decision-support tools Write, test, and refine reusable, well-documented code in Python, SQL, Java, and other languages using collaborative development practices Build and maintain secure, scalable data pipelines and end-to-end systems, including operation within air-gapped or restricted government environments Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ongoing support Produce technical documentation and deliver briefings or presentations to technical and non-technical audiences Act as a technical consultant, translating business, compliance, and enforcement needs into effective data solutions Minimum Qualifications 2-7+ years of experience in data science, analytics, or a related technical field Prior programming experience, preferably in Python, including data Design, build, and deploy robust, repeatable, and automated data pipelines using Python, SQL to transform raw data into analytics and ML-ready datasets Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences Engineer data pipelines that support fraud detection, compliance analytics, and predictive risk modeling across structured and unstructured data sources in Databricks Develop and maintain end-to-end machine learning data workflows across on-premises and cloud environments, integrating backend systems with analytics platforms and user-facing applications Partner closely with data scientists, analysts, product managers, and government stakeholders to align data engineering solutions with IRS mission objectives Modernize and optimize data and ML workflows by implementing best practices for scalability, reliability, maintainability, and security Translate client and stakeholder requirements into clear, actionable technical designs and implementation plans Contribute effectively within agile, fast-paced development environments, supporting iterative delivery and continuous improvement Demonstrate a strong willingness to learn new technologies, adapt to evolving requirements, and share knowledge across teams Willingness to travel and work on-site with clients as project needs require Preferred Qualifications Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields Experience with version control systems (Git, SVN, Mercurial) and collaborative programming practices (pair programming, code reviews) Experience with containerization and environment management (venv, conda) Experience with platforms and technologies such as Databricks and AWS Prior Databricks experience in Unity Catalog, Pyspark, Spark SQL, and Jobs Familiarity with vector, object, and document-based data storage systems Experience implementing data engineering solutions in remote or austere environments, including use of bash and command-line tools Experience with business intelligence and data visualization tools (Power BI, Tableau) Understanding of the data analytics lifecycle (e.g., CRISP-DM) and how engineering supports downstream analytics and ML use cases Clearance & Other Requirements Must currently possess an IRS Public Trust clearance with Full Background Investigation Physical Requirements: Must be able to remain in a stationary position 50% Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations Why apply to this position at Elder Research? Competitive Salary and Benefits Important Work / Make a Difference supporting U.S. national security. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

General Information Requisition # 643 Locations USA-VA-Arlington - Hybrid, USA-DC-Washington - Hybrid, USA-MD-Maryland - Hybrid, USA-VA-Virginia - Hybrid, USA - Remote - Eastern Time Zone Posting Date 01/22/2026 Security Clearance Required - Active IRS Public Trust w/ Background Investigation Remote Type Onsite/Hybrid Time Type Full time Description & Requirements As a Data Engineer, you will support the Internal Revenue Services mission to combat tax fraud, identity theft, and non-compliance by designing and delivering secure, scalable, and automated data pipelines that power advanced analytics, machine learning models, and decision-support tools. You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions. Your work will enable fraud detection, audit prioritization, refund review, and compliance risk analysis across large, sensitive tax and financial datasets. This role sits within an analytics-focused business unit supporting IRS enforcement, compliance, and research initiatives, partnering closely with data science and analytics teams to ensure data products are production-ready, trustworthy, and mission-aligned. Responsibilities include but are not limited to: * Troubleshoot and resolve complex data and system issues across cross-functional and mission-critical environments with minimal supervision * Engineer solutions that integrate diverse data types, including transactional, financial, and textual data, to support compliance and fraud analytics * Collaborate with data scientists and stakeholders to deploy analytics applications, dashboards, and decision-support tools * Write, test, and refine reusable, well-documented code in Python, SQL, Java, and other languages using collaborative development practices * Build and maintain secure, scalable data pipelines and end-to-end systems, including operation within air-gapped or restricted government environments * Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ongoing support * Produce technical documentation and deliver briefings or presentations to technical and non-technical audiences * Act as a technical consultant, translating business, compliance, and enforcement needs into effective data solutions Minimum Qualifications * 2-7+ years of experience in data science, analytics, or a related technical field * Prior programming experience, preferably in Python, including data * Design, build, and deploy robust, repeatable, and automated data pipelines using Python, SQL to transform raw data into analytics and ML-ready datasets * Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * Engineer data pipelines that support fraud detection, compliance analytics, and predictive risk modeling across structured and unstructured data sources in Databricks * Develop and maintain end-to-end machine learning data workflows across on-premises and cloud environments, integrating backend systems with analytics platforms and user-facing applications * Partner closely with data scientists, analysts, product managers, and government stakeholders to align data engineering solutions with IRS mission objectives * Modernize and optimize data and ML workflows by implementing best practices for scalability, reliability, maintainability, and security * Translate client and stakeholder requirements into clear, actionable technical designs and implementation plans * Contribute effectively within agile, fast-paced development environments, supporting iterative delivery and continuous improvement * Demonstrate a strong willingness to learn new technologies, adapt to evolving requirements, and share knowledge across teams * Willingness to travel and work on-site with clients as project needs require Preferred Qualifications * Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields * Experience with version control systems (Git, SVN, Mercurial) and collaborative programming practices (pair programming, code reviews) * Experience with containerization and environment management (venv, conda) * Experience with platforms and technologies such as Databricks and AWS * Prior Databricks experience in Unity Catalog, Pyspark, Spark SQL, and Jobs * Familiarity with vector, object, and document-based data storage systems * Experience implementing data engineering solutions in remote or austere environments, including use of bash and command-line tools * Experience with business intelligence and data visualization tools (Power BI, Tableau) * Understanding of the data analytics lifecycle (e.g., CRISP-DM) and how engineering supports downstream analytics and ML use cases Clearance & Other Requirements * Must currently possess an IRS Public Trust clearance with Full Background Investigation Physical Requirements: * Must be able to remain in a stationary position 50% * Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. * Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations Why apply to this position at Elder Research? * Competitive Salary and Benefits * Important Work / Make a Difference supporting U.S. national security. * Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. * People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement.

General Information Requisition # 642 Locations USA-VA-Arlington - Hybrid, USA-DC-Washington - Hybrid, USA-MD-Maryland - Hybrid, USA-VA-Virginia - Hybrid, USA - Remote - Eastern Time Zone Posting Date 01/22/2026 Security Clearance Required - Active IRS Public Trust w/ Background Investigation Remote Type Onsite/Hybrid Time Type Full time Description & Requirements As a Data Scientist, you will support the Internal Revenue Service s mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts. In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include but are not limited to: Prior programming experience, preferably in Python or R, including data exploration, feature engineering, and model development Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science driven solutions in support assessments, gap analyses, and actionable recommendations for IRS stakeholders Design, develop, test, and implement quantitative and qualitative data science solutions that are modular, maintainable, and adaptable to evolving government and regulatory requirements Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, and statistical evaluation Apply statistical and machine learning techniques to anomaly detection, fraud identification, and non-compliance risk scoring, including supervised and unsupervised approaches to help prioritize cases based on compliance risk, fraud indicators and business impact Develop and evaluate predictive risk models used to support audit selection, refund review, and fraud prevention initiatives Test and validate models using robustness, sensitivity, and significance testing, ensuring defensible and explainable results Write modular, reusable, and well-documented code within an iterative development process that includes peer review and collaboration Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication Demonstrated ability to work independently in a collaborative, fast-paced environment Strong interpersonal, written, and verbal communication skills, with the ability to translate business and compliance needs into technical solutions Experience using Markdown for technical documentation Minimum Qualifications Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences 2-10+ years of experience in data science, analytics, or a related technical field Experience using version control systems (e.g., Git) and collaborative development practices Strong understanding of relational databases and SQL Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges Willingness to travel and work on-site at client locations as required by project needs Preferred Qualifications Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields Experience with PySpark, Unity Catalog, and Jobs in DataBricks Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes Experience with graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities Familiarity with platforms and tools such as Databricks, and AWS Experience with containerization and environment management (e.g., venv, conda) Understanding of the data analytics lifecycle (e.g., CRISP-DM) Experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting Experience operating in secure or remote government environments, including use of bash and command-line tools Clearance & Other Requirements Must currently possess an IRS Public Trust clearance with Full Background Investigation Physical Requirements: Must be able to remain in a stationary position 50% Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations Why apply to this position at Elder Research? Competitive Salary and Benefits Important Work / Make a Difference supporting U.S. national security. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.