122 jobs found

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers' greatest challenges. We recognize that the most effective environment for your projects doesn't always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done-while having the flexibility to work from home when needed to achieve focused results. Why Enlighten? At Enlighten, our team's unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. We know that our employees are essential to our company's success, so we seek to take care of you as much as you take care of us. Here are a few highlights of our benefits package: • 100% paid employee premium for healthcare, vision and dental plans. • 10% 401k benefit. • Generous PTO + 10 paid holidays. • Education/training allowances. Anticipated Salary Range: $137,510.00 - $195,000.00. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills. Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process. Job Description Enlighten is a cutting-edge technology company that is dedicated to developing innovative software solutions for our clients. We are currently seeking a talented and experienced Software Engineer to join our team. As a Software Engineer, you will be responsible for designing, developing, and implementing complex software capabilities for computer-based systems. Will work closely with other talented engineers to create software solutions that meet the needs of our clients. In this role, you will have the opportunity to work with modern tools and technologies, and you will be encouraged to stay up-to-date with the latest developments in the field. You will be part of a dynamic and collaborative team that is committed to delivering high-quality software solutions to our clients. If you are a self-motivated, creative, and detail-oriented software engineer who is passionate about developing innovative software solutions, we would love to hear from you. Level Essential Job Responsibilities Must have a strong working knowledge and experience developing Java based software capabilities. Should have an inquisitive nature, responsiveness, and excellent testing skills. Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines. Keep up-to-date with emerging trends and technologies in software development. Seamlessly transition between hands-on execution and team guidance, treating mentorship and team leadership as inherent components of senior-level impact. Experience with Next-Gen Coding Agents: Proven track record of integrating advanced AI agents, specifically Claude Code or Google's Antigravity / Gemini agentic workflows, into your daily software engineering routine. Agentic Feature & Test Development: Experience using autonomous agents to handle multi-file feature implementations, complex codebase refactoring, and the automated generation of robust unit/integration tests. Context & Workflow Management: Ability to guide AI agents through complex, multi-repository application architectures, managing context efficiently and critically auditing agent-generated code for security, performance, and architectural alignment. Will work in a fast-paced, small business environment with our talented team. Additional duties as assigned. Minimum Qualifications Clearance Requirement: Must obtain and maintain a U.S. Government Security Clearance, but not required on day one; U.S. Citizenship required. 9+ years of experience Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) Bachelors in related field; OR 7 years relevant experience with Masters in related field; OR High School Diploma or equivalent and 13 years relevant experience. Experience in designing enterprise APIs. Experience in RESTful web services. Experience in Microservices architecture. Experience in Object Oriented Programming (OOP) paradigms. Experience with the agile software lifecycle. Demonstrated experience serving as a tech lead, mentor, or manager for engineering teams. Has a proven ability to learn quickly and works well both independently as well as in a team setting. Experience with the Linux operating system. Experience with configuration management tools (e.g. Git, Nexus, Maven). Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed. Preferred Requirements Next-Gen Coding Agents: Proven use of AI tools (Claude Code, Gemini) in daily engineering workflows. Agentic Feature Delivery: Using autonomous agents for multi-file implementation, refactoring, and automated testing. Experience in cloud based technologies (AWS, Azure) Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Scripting experience is a huge plus. Prior experience or familiarity with Data Lakes or Warehouses is a huge plus. Understanding of AGILE software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, Github Enterprise, etc.) We have many more additional great benefits/perks that you can find on our website at .

Senior Data Engineer Sponsorship is not provided No Third Party Resumes Onsite in Peachtree Corners, GA - Hybrid Salary - Competitive Position Summary We are seeking an experienced, highly motivated Senior Data Engineer to help design, develop, and optimize our enterprise data infrastructure. This role requires a strong technical background in data engineering, cloud-based technologies, and modern data architecture, with a particular focus on Microsoft Azure, Azure Databricks, Azure Data Factory, and PySpark. The ideal candidate is a hands-on technical leader who can translate business requirements into scalable data solutions, establish best practices, and drive continuous improvement across our data environment. This position offers the opportunity to take ownership of key projects, influence technical strategy, and collaborate with cross-functional teams. While there are no direct reports, the Senior Data Engineer will provide technical guidance, mentor junior team members, and lead project initiatives. Key Responsibilities Data Engineering & Architecture Design, build, and maintain scalable batch and streaming data pipelines using Azure Databricks, Azure Data Factory, and related technologies. Develop and optimize data ingestion, transformation, and integration processes (ETL/ELT). Architect and support enterprise-wide data platforms, data lakes, and data warehousing solutions. Integrate Azure Databricks with Azure Data Lake Storage (ADLS), Power BI, Azure DevOps, and Azure Key Vault. Develop efficient data models and ensure data quality, reliability, and accessibility. Optimize Apache Spark jobs, cluster configurations, serverless policies, and cloud infrastructure to improve performance and manage costs. Cloud Infrastructure, Security & Automation Implement and manage Unity Catalog to support data governance, access control, lineage, and security compliance. Build and maintain CI/CD pipelines for Databricks notebooks and workflows using Azure DevOps and Terraform. Establish and enforce technical standards, development practices, and cloud architecture guidelines. Identify opportunities to improve automation, scalability, and overall platform efficiency. Technical Leadership & Collaboration Partner with business stakeholders, analysts, and technical teams to understand current and future data requirements. Help define and execute the organization's long-term data strategy. Provide technical direction and recommendations for new tools, platforms, and technologies. Lead data engineering projects from planning through implementation. Mentor junior data engineers and promote knowledge sharing across the team. Collaborate with data engineers, analysts, and other technical professionals to support AI and machine learning initiatives. Evaluate emerging technologies and recommend solutions that enhance data capabilities. Assist with project planning, resource allocation, and assessment of future staffing needs. Required Qualifications Education & Experience Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a related technical field. 4+ years of hands-on experience in data engineering, including working with large datasets and database systems. 2+ years of experience working with cloud-based data technologies, preferably Microsoft Azure. Experience designing and supporting enterprise-scale data platforms and architectures. Strong background in ETL/ELT development, data transformation, integration, and modeling. Technical Skills Strong hands-on experience with Azure Databricks and Azure Data Factory. Proficiency in Python, PySpark, and SQL. Experience with Apache Spark, Spark SQL, Delta Lake, and Databricks Jobs. Experience with Azure Data Lake Storage (ADLS), Azure Key Vault, and Power BI. Knowledge of Azure DevOps and CI/CD development practices. Experience with data warehousing, data lake architecture, and modern cloud data platforms. Understanding of cloud storage, compute resources, data orchestration, and reporting technologies. Experience optimizing data pipelines and processing large-scale datasets. Preferred Qualifications Experience implementing Unity Catalog for data governance and security. Experience using Terraform for infrastructure automation. Knowledge of serverless computing, Spark performance tuning, and cloud cost optimization. Experience supporting AI/ML data workloads. Experience establishing enterprise data engineering standards and best practices. Previous experience mentoring engineers or serving as a technical project lead. Professional Skills & Competencies Strong analytical, troubleshooting, and problem-solving abilities. Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and nontechnical audiences. Ability to collaborate effectively across departments and work with business stakeholders. Strong organizational and time-management skills with the ability to balance multiple priorities. Demonstrated ability to independently lead projects, manage deadlines, and deliver results. Adaptability in a fast-paced environment with evolving business needs. Proactive mindset with a focus on innovation, continuous improvement, and technical excellence. Leadership Responsibilities This is an individual contributor position with technical leadership responsibilities. While the role does not have direct supervisory reports, the Senior Data Engineer will lead projects, provide technical oversight, mentor junior resources, and help guide engineering best practices. Compensation & Benefits We offer the successful candidate: Competitive salary commensurate with education, experience, and skills. Quarterly bonus incentives based on operational performance. Comprehensive benefits available after 30 days, including medical, dental, vision, life insurance, short-term disability (STD), and long-term disability (LTD). 401(k) retirement plan. Paid Time Off (PTO). About Capstone Logistics Capstone Logistics is a leading North American supply chain solutions partner with more than 650 operating locations, 19,000 associates, and 60,000 carriers. Our comprehensive services include freight management, warehouse and distribution center support, last-mile delivery, supply chain analytics, optimization, and more. Through our integrated, end-to-end logistics solutions, we help our partners improve operational efficiency, streamline supply chain processes, and reduce warehousing and transportation costs. Join a growing organization where innovation, collaboration, and operational excellence drive our success. Capstone Logistics is an Equal Opportunity Employer committed to quality through diversity. We are a drug-free workplace, and a background check is required.

JOB TITLE: Artificial Intelligence Engineer JOB LOCATION: Boston, MA, WAGE RANGE : $85-$90 JOB NUMBER: Client-27-1044-EPS17-OTIS-135351, FY27_EOPSS_ITS87 JOB DESCRIPTION We are seeking an experienced cloud AI engineer who possesses deep expertise in cloud technologies, data engineering, AI/ML frameworks, infrastructure automation, and cloud security, along with a strong understanding of emerging AI technologies and industry best practices. The Cloud AI Engineer will play a critical role in accelerating AI adoption, improving operational efficiency, optimizing cloud investments, and enabling innovative, enterprise-scale AI solutions that drive business value. Proven experience architecting and implementing retrieval-augmented generation (RAG) solutions using vector databases, embedding models, semantic search, and enterprise knowledge repositories to deliver accurate, context-aware, and scalable generative AI applications. Strong knowledge of enterprise AI security practices, including identity and access management, data privacy, prompt injection mitigation, content filtering, responsible AI principles, and governance controls across AI Gateway, MCP, RAG, and agentic AI implementations. Experience in optimizing AI workloads through intelligent model selection, token usage management, caching, efficient retrieval strategies, latency reduction, and cloud resource optimization while maintaining application performance and reliability. Ability to integrate LLM-powered applications and AI agents with enterprise systems, cloud services, databases, and APIs using secure integration patterns, MCP-based tool connectivity, and event-driven architectures Implement technical efforts to design, build, and deploy AWS-hosted data solutions, including large-scale data processing pipelines, computationally intensive statistical modeling, and advanced analytics. Participate in all aspects of the software development lifecycle (SDLC) for AWS solutions, including planning, requirements gathering, development, automated testing, and quality assurance. Expertly troubleshoot incidents, identify root causes, fix and document complex issues, and implement preventive measures to ensure system stability. Educate cross-functional teams on the implementation of new cloud-based data initiatives, providing associated training and technical documentation when necessary. Demonstrate exceptional problem-solving skills, with a proven ability to see, predict, and resolve data bottlenecks or system issues before they impact business productivity. Utilize Terraform to provision, manage, and orchestrate AWS infrastructure and Snowflake resources efficiently. Oversee and implement upgrades, performance tuning, and access controls within Tableau Server/Cloud, ensuring seamless integration with AWS services and optimal dashboard performance. Configure and manage virtual compute resources ( AWS EC2 and Snowflake Virtual Warehouses), focusing on optimal configuration, sizing, elasticity, auto-scaling, and cost control. Implement and maintain rigorous security configurations, including AWS IAM, Snowflake Role-Based Access Control (RBAC), network policies, and Row/Column-level security to protect sensitive data. Perform data platform administrative functions across AWS and Snowflake, ensuring smooth operations, query optimization, storage management, and compliance with best practices. Configure and manage load balancing strategies and failover routing ( AWS ELB/Route 53) to ensure high availability and fault tolerance across data applications and BI endpoints. Design and manage AWS VPC networks, security groups, and private endpoints ( AWS PrivateLink) to ensure secure, efficient, and private connectivity between AWS, Snowflake, and Tableau. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

Genesis10 is currently seeking a Data Engineer for a contract-to-hire position with a Global Manufacturing Company located in Whitehall, MI. This is a 6+ month contract-to-hire opportunity. Compensation: $40.00 - $60.00 per hour, W2, based on qualifications Position Overview: In this role, the successful candidate will collaborate closely with data scientists, data analysts, and IT counterparts to design data pipelines for the AI and analytical needs of a large manufacturing enterprise. This position involves modeling, building, and optimizing complex, scalable ETLs and data pipelines to support on-premise and cloud-based data warehouses and data lakes using SQL and Azure technologies. Extensive interaction with functional and IT resources will be required, making effective communication skills essential. Key Responsibilities: Design, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI-enabled data platforms across cloud and hybrid environments Design and develop ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar technologies Design scalable data models and integration patterns to support enterprise analytics and AI initiatives Establish event-driven, streaming, batch, and API-based integration patterns across enterprise systems Build and maintain data integration pipelines for plant, business unit, or enterprise applications Implement data validation, monitoring, quality controls, and data governance best practices Develop reusable semantic models, datasets, and data products that enable self-service analytics Optimize Power BI performance, data refresh processes, and security, including Row-Level Security (RLS) and workspace governance Collaborate with business stakeholders to define reporting requirements, KPIs, and analytics solutions Optimize SQL queries and data processing performance to ensure scalable and efficient data solutions Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency Primary Requirements: Bachelor's degree with 3+ years of experience OR a High school diploma with 6+ years of experience Experience writing Python Experience in Azure Synapse or Fabric (ETL/ELT) Experience using DevOps to streamline pipeline deployment Ability to communicate technical concepts to non-technical audiences Passionate about moving technology forward and enjoys working in a collaborative team environment ITAR Compliance required Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers' greatest challenges. We recognize that the most effective environment for your projects doesn't always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done-while having the flexibility to work from home when needed to achieve focused results. Why Enlighten? At Enlighten, our team's unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. We know that our employees are essential to our company's success, so we seek to take care of you as much as you take care of us. Here are a few highlights of our benefits package: • 100% paid employee premium for healthcare, vision and dental plans. • 10% 401k benefit. • Generous PTO + 10 paid holidays. • Education/training allowances. Anticipated Salary Range: $115,199.00 - $145,000.00. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills. Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process. Job Description Enlighten is a cutting-edge technology company that is dedicated to developing innovative software solutions for our clients. We are currently seeking a talented and experienced Software Engineer to join our team. As a Software Engineer, you will be responsible for designing, developing, and implementing complex software capabilities for computer-based systems. Will work closely with other talented engineers to create software solutions that meet the needs of our clients. In this role, you will have the opportunity to work with modern tools and technologies, and you will be encouraged to stay up-to-date with the latest developments in the field. You will be part of a dynamic and collaborative team that is committed to delivering high-quality software solutions to our clients. If you are a self-motivated, creative, and detail-oriented software engineer who is passionate about developing innovative software solutions, we would love to hear from you. Level Essential Job Responsibilities Must have a strong working knowledge and experience developing Java based software capabilities. Should have an inquisitive nature, responsiveness, and excellent testing skills. Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines. Keep up-to-date with emerging trends and technologies in software development. Experience with Next-Gen Coding Agents: Proven track record of integrating advanced AI agents, specifically Claude Code or Google's Antigravity / Gemini agentic workflows, into your daily software engineering routine. Agentic Feature & Test Development: Experience using autonomous agents to handle multi-file feature implementations, complex codebase refactoring, and the automated generation of robust unit/integration tests. Context & Workflow Management: Ability to guide AI agents through complex, multi-repository application architectures, managing context efficiently and critically auditing agent-generated code for security, performance, and architectural alignment. Will work in a fast-paced, small business environment with our talented team. Additional duties as assigned. Minimum Qualifications Security Clearance - A current U.S. Government Security clearance is not requiredon day 1, but will be processed for one; U.S. citizenship required. Can also consider candidates with current Secret or TS level clearance. 5+ years of experience Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) Bachelors in related field; OR 3 years relevant experience with Masters in related field; OR High School Diploma or equivalent and 9 years relevant experience. Experience in designing enterprise APIs Experience in RESTful web services Experience in Microservices architecture Experience in Object Oriented Programming (OOP) paradigms Experience with the agile software lifecycle Has a proven ability to learn quickly and works well both independently as well as in a team setting Experience with the Linux operating system Experience with configuration management tools (e.g. Git, Nexus, Maven) Must be able to work in a hybrid environment, spending an average of 2-3 days (full time/8hrs day), per week at our Columbia, MD office or Ft. Meade onsite. Flexibility is essential to adapt to schedule changes as needed. Preferred Requirements Current U.S. Government clearance preferred. Experience in cloud based technologies (AWS, Azure) Next-Gen Coding Agents: Proven use of AI tools (Claude Code, Gemini) in daily engineering workflows. Agentic Feature Delivery: Using autonomous agents for multi-file implementation, refactoring, and automated testing. Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Scripting experience is a huge plus. Prior experience or familiarity with Big Data Platform (BDP)/JCRS-D, Data Lake/Warehouse is a plus. Understanding of AGILE software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, Github Enterprise, etc.) DoD 8140 / 8570 IAT Level II compliance certifications may be required in this position as directed by the customer. We have many more additional great benefits/perks that you can find on our website at .

Job Title: Senior Data Engineer - Data Architecture & Cloud Position Overview Contribute to a major Medicaid technology modernization initiative focused on transforming data capabilities, architecture, and technology. This opportunity combines hands-on data engineering with architectural leadership, enabling scalable analytical data solutions, modern data platforms, and data-driven decision-making. As part of the Data Operations Hub Team, you will design, develop, and implement analytical data solutions while collaborating with cross-functional teams to advance target-state architecture and data initiatives. What You'll Do / Key Responsibilities Represent the Data Operations Hub team in technical forums and advise on data solutions. Lead the design and maintenance of scalable data solutions, including data lakes and data warehouses. Collaborate with cross-functional teams to ensure data product solutions support business needs and data-driven decision-making. Evaluate and select data technologies and drive adoption of emerging technologies. Develop architectural models using Sparkx or other available data modeling tools and supporting artifacts. Serve as a subject matter expert in designated areas. Apply modern data processing technologies such as Python, Java, and Airflow within data mesh and data lake environments. Contribute to the data engineering community and advocate for agency data practices. Perform hands-on coding and design to implement production solutions. Optimize system performance and resolve inefficiencies. Design reusable data frameworks using emerging technologies. Required Qualifications Bachelor's or Master's degree in Computer Science or a related field. 4+ years of experience as a Data Engineer or similar role leading technologists and managing complex technical challenges. 4+ years of hands-on experience in system design, application development, and operational stability. 4+ years of expertise in architecture disciplines and programming languages. 4+ years of deep knowledge of data architecture, data modeling, integration, cloud data services, data domain-driven design, best practices, and industry trends in data engineering. 4+ years of practical experience with AWS/Azure services and data engineering disciplines. 4+ years of advanced experience in one or more data engineering disciplines, such as ETL/ELT or event processing. 4+ years of proficiency in SQL, data warehousing solutions, and cloud-native relational databases such as Snowflake, Athena, or Postgres. Preferred Qualifications 4+ years of business architecture knowledge and experience with architecture assessment frameworks. Additional Skills Strong problem-solving, communication, and interpersonal skills. Ability to evaluate and recommend technologies for future-state architecture. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Job Description Job Description Platform Engineer V Primary Location : Cincinnati, OH V-Soft Consulting is currently hiring for a Platform Engineer V for our premier client in Cincinnati, OH. Education and Experience: Experience with warehouse sizing, workload management, cost monitoring, and compute optimization. Experience troubleshooting production incidents and improving platform reliability. Knowledge and Skills: Strong knowledge of Snowflake architecture, virtual warehouses, micro-partitions, caching, query execution, and resource consumption Extensive hands-on experience administering and supporting Snowflake in a production enterprise environment. Preferred Qualifications Experience integrating Snowflake with AWS S3, IAM, Glue, and enterprise data pipelines. Python or shell scripting for automation and administrative tasks. Experience with Terraform or other Infrastructure as Code tools. SnowPro Core or Advanced certification. Experience in financial services or another regulated enterprise environment. WHAT YOU'LL DO: Job Responsibilities: Establish platform standards for warehouse sizing, auto-suspend and auto-resume, resource monitors, workload isolation, and cost management. Monitor platform health, investigate incidents, perform root cause analysis, and implement preventative measures to improve reliability. Manage database objects and platform hygiene, including schemas, tables, views, retention settings, and obsolete resource cleanup. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

Job Description Job Description PSR Associates is a consulting and talent solutions firm that connects qualified IT professionals with great opportunities. Whether you're looking for a contract or permanent position, we can help you find the right fit for your skills and experience. We have a team of experienced recruiters who know the IT industry inside and out, and we work with you every step of the way to ensure a smooth and successful transition. PSR Connecting Talent, Crafting Success. Data Scientist Position Description We are seeking a Data Scientist to join our team. The selected candidate will work a hybrid schedule consisting of one (1) day each week onsite in Indianapolis, Indiana and four (4) days each week remotely. Summary: This role supports data integration, pipeline development, data modeling, governance, and documentation while collaborating with cross-functional teams to deliver high-quality, reliable data products for the agency. The position plays a key role in implementing the agency s data strategy by developing batch and streaming pipelines, optimizing data warehouse workloads, and enforcing data governance standards. The position assists with requirements gathering, solution reviews, and technical support, and works closely with data architects, scientists, analysts, and project managers to translate business needs into technical designs. This role supports operational processes, contributes to policy and procedure improvements, and may provide mentorship or supervision based on agency needs. Job Duties: Assists with the data technology strategy, including resolving strategic data integration issues, such as data quality and stewardship, real-time and event-based data integration, and crafting a universal vision for data integration. Provides direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems. Assists with the definition, implementation, and continued adherence to new data management policies and design standards for data engineering. Provides advice, training, and technical support for various projects. Participates in project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel. Works closely with solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation. Assists with extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods. Designs, builds, and maintains batch and streaming data pipelines in Azure Databricks using PySpark, Spark SQL, and Delta Lake, following a medallion (bronze/silver/gold) lakehouse architecture. Develops, loads, and tunes dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboard needs. Orchestrates and monitors data workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery. Applies data governance and security controls (e.g., Unity Catalog permissions, role-based access, row- and column-level security, and data masking) to protect sensitive health data (PHI/PII) in accordance with HIPAA and agency policy. Assists in documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code. Assists in operations by conducting systems analysis and recommending changes in policies and procedures. Additional Information: The job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Other duties, responsibilities, and activities may change or be assigned at any time. Please note that any false information on your resume or application could lead to the offer being withdrawn or even termination after hire.

Job Description Job Description Data Scientist Indianapolis,IN Hybrid Key Responsibilities & DutiesData Strategy & Architecture Contribute to the enterprise data technology strategy, helping resolve complex data integration challenges (such as real-time event-based ingestion, data quality, and stewardship). Provide technical direction and oversight for designing and implementing integrated data solutions across secure systems. Assist with defining, implementing, and enforcing modern data management policies and engineering design standards. Pipeline Development & Lakehouse Engineering Design, build, and maintain robust batch and streaming data pipelines in Azure Databricks utilizing PySpark, Spark SQL, and Delta Lake following a medallion (bronze/silver/gold) architecture. Implement incremental ingestion workflows via Auto Loader, Structured Streaming, or Delta Live Tables (DLT). Optimize cluster performance, right-size SQL warehouses, and troubleshoot partitioning, shuffle, skew, and caching issues using Spark UI. Data Warehousing & Modeling Develop, load, and tune dimensional data models, star-schema facts, dimensions, stored procedures, and views (including SCD Type 1 and Type 2) in Azure Synapse Analytics (dedicated and serverless SQL pools). Query Parquet, Delta, and CSV files in ADLS Gen2 using OPENROWSET, external tables, and views. Utilize advanced loading features such as COPY INTO, PolyBase, and CETAS to build parameterized pipelines. Governance, Security & Operations Apply rigorous data governance and security controls (Unity Catalog permissions, role-based access, row/column-level security, and data masking) to protect sensitive data in accordance with regulatory standards (e.g., HIPAA, PII/PHI guidelines). Orchestrate and monitor data workflows using Databricks Workflows/Jobs and Azure Data Factory (ADF) pipelines, managing scheduling, alerting, and failure recovery. Implement CI/CD best practices using Git, Azure DevOps, or GitHub for version control and artifact deployment. Required Experience & Technical Skills Education & Experience: Master's degree in Data Science, Analytics, Informatics, Computer Science, Mathematics, Engineering, or a related field (with 4+ years of relevant experience); OR Bachelor's degree in a related field plus 2+ years of relevant experience; OR 4+ years of hands-on experience in a dedicated data engineering role. (Note: Relevant certifications and coursework may be considered.) Azure Databricks: 4+ years developing with notebooks in PySpark, Spark SQL, and R (transformations, joins, aggregations, window functions); implementing ACID transactions, MERGE upserts, schema evolution, and table maintenance (OPTIMIZE, Z-order, VACUUM). Lakehouse & Architecture: 4+ years working with medallion architecture, Unity Catalog (workspaces, catalogs, schemas, lineage, external locations), and incremental data ingestion. Azure Synapse Analytics: 4+ years designing MPP warehouse tables (hash/round-robin/replicated distribution, columnstore indexes), workload management, result-set caching, and pool optimization. Orchestration & DevOps: Proven experience scheduling dependencies via ADF Pipelines, Databricks Workflows, and managing codebases with Git, Azure DevOps, or GitHub (branching, PRs, asset bundles). Security & Monitoring: Experience designing ADLS Gen2 folder/file-format structures, Entra ID access control, managed identities, Key Vault integration, and monitoring workloads using Azure Monitor/Log Analytics. Preferred Qualifications & Certifications Databricks Certified Data Engineer Associate (Professional certification is a strong plus). Microsoft Certified: Azure Data Engineer Associate (DP-203). BI Integration: Experience connecting Power BI to Synapse (Import vs. DirectQuery) and optimizing model design for high-performance dashboarding.

Job Description Job Description Title: Data Scientist Location: Indianapolis, IN (Hybrid) Duration: 12 Months Interview type: Web Cam Note: Local candidates only will be considered for this position. Job Description: This role supports data integration, pipeline development, data modeling, governance, and documentation while collaborating with cross-functional teams to deliver high quality, reliable data products for the agency. Plays a key role in implementing the agency's data strategy by developing batch and streaming pipelines, optimizing data warehouse workloads, and enforcing data governance standards. The position assists with requirements gathering, solution reviews, and technical support, and works closely with data architects, scientists, analysts, and project managers to translate business needs into technical designs. This role supports operational processes, contributes to policy and procedure improvements, and may provide mentorship or supervision based on agency needs. Job Duties Assists with the data technology strategy, including resolvingstrategic data integration issues, such as data quality and stewardship,real-time, Event-based data integration, and crafting a universal vision for data integration Provides direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems Assists with the definition, implementation, and continued adherence of new data management policies and design standards for data engineering Provides advice, training, and technical support for various projects Participates in project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation Assists with extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods. Designs, builds, and maintains batch and streaming data pipelines in Azure Databricks using Py Spark, Spark SQL, and Delta Lake, following a medallion (bronze/silver/gold) lake house architecture Develops, loads, and tunes dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboard needs Orchestrates and monitors data workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery Applies data governance and security controls (e.g., Unity Catalog permissions, role-based access, row- and column-level security, data masking) to protect sensitive health data (PHI/PII) in accordance with HIPAA and agency policy Assists with documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code. Assists in operations by conducting systems analysis; recommendingchanges in policies and procedures. The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time. Required/Desired Skills: Master's degree in data science, analytics, informatics, computer science, mathematics, engineering, or related field; OR Bachelor's degree in a related field plus 2 years of relevant experience; or 4 years of hands-on experience in a similar data engineering role; OR Relevant certifications and coursework may substitute for formal education/experience requirements Developing with Databricks notebooks in PySpark, Spark SQL, and R, including transformations, joins, aggregations, and window functions ACID transactions, MERGE upserts, schema enforcement/evolution, time travel, and table maintenance (OPTIMIZE, Z-order, VACUUM) Working with medallion (bronze/silver/gold) architecture and incremental ingestion via Auto Loader, Structured Streaming, or Lakeflow/DLT Using Unity Catalog for Workspace Catalogs, schemas, permissions, lineage, external locations, and storage credentials Right-sizing clusters and SQL warehouses and diagnose partitioning, shuffle, skew, and caching issues via Spark UI Scheduling and managing dependencies with ADF Pipelines, Databricks Workflows (Jobs), and using Git folders (Repos) for source control Designing MPP warehouse tables, including distribution (hash, round-robin, replicated), columnstore indexes, and partitioning Querying Parquet, Delta, and CSV files in ADLS Gen2 using OPENROWSET, external tables, and views Building star-schema facts, dimensions, stored procedures, and views, including SCD Type 1 and Type 2 Developing with COPY INTO, PolyBase, and CETAS, and building parameterized Synapse/ADF pipelines (copy, data flows, triggers) Workload management, resource classes, statistics, materialized views, result-set caching, and pool scaling/pausing ADLS Gen2 folder/file-format design (Parquet/Delta), Entra ID access control, managed identities, and Key Vault Git and CI/CD in Azure DevOps or GitHub, including branching, PRs, and deploying Synapse artifacts and Databricks Asset Bundles Monitoring pipelines and workloads with Azure Monitor/Log Analytics and alerting, and troubleshooting failed jobs Strong written and verbal communication skills Using Microsoft lakehouse patterns, including interoperability and migration paths between Synapse and Databricks Databricks Certified Data Engineer Associate (Databricks Certified Data Engineer Professional a plus) Microsoft Certified: Azure Data Engineer Associate (DP-203) if already held Power BI connectivity to Synapse (Import vs. DirectQuery) and how model design affects dashboard performance

Job Description Job Description Title: Data Scientist Location: Indianapolis, IN On- site/Remote/Hybrid: Hybrid Duration: 12 Months Interview Process: Web cam interview No of submissions: 1 No of Positions: 1 Local candidates only will be considered for this position. Note: Designs, builds, and maintains secure, scalable data solutions across Azure Databricks and Azure Synapse Analytics. Job Description: This role supports data integration, pipeline development, data modeling, governance, and documentation while collaborating with cross-functional teams to deliver high quality, reliable data products for the agency. Plays a key role in implementing the agency's data strategy by developing batch and streaming pipelines, optimizing data warehouse workloads, and enforcing data governance standards. The position assists with requirements gathering, solution reviews, and technical support, and works closely with data architects, scientists, analysts, and project managers to translate business needs into technical designs. This role supports operational processes, contributes to policy and procedure improvements, and may provide mentorship or supervision based on agency needs. Job Duties Assists with the data technology strategy, including resolving strategic data integration issues, such as data quality and stewardship, real-time, Event-based data integration, and crafting a universal vision for data integration Provides direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems Assists with the definition, implementation, and continued adherence of new data management policies and design standards for data engineering Provides advice, training, and technical support for various projects Participates in project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation Assists with extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods. Designs, builds, and maintains batch and streaming data pipelines in Azure Databricks using Py Spark, Spark SQL, and Delta Lake, following a medallion (bronze/silver/gold) lake house architecture Develops, loads, and tunes dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboard needs Orchestrates and monitors data workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery Applies data governance and security controls (e.g., Unity Catalog permissions, role-based access, row- and column-level security, data masking) to protect sensitive health data (PHI/PII) in accordance with HIPAA and agency policy Assists with documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code. Assists in operations by conducting systems analysis; recommending changes in policies and procedures. The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time. Skills: Master's degree in data science, analytics, informatics, computer science, mathematics, engineering, or related field; Required 4 Years Bachelor's degree in a related field plus 2 years of relevant experience; or 4 years of hands-on experience in a similar data engineering role Required 4 Years Relevant certifications and coursework may substitute for formal education/experience requirements Required 4 Years Developing with Databricks notebooks in PySpark, Spark SQL, and R, including transformations, joins, aggregations, and window functions Required 4 Years ACID transactions, MERGE upserts, schema enforcement/evolution, time travel, and table maintenance (OPTIMIZE, Z-order, VACUUM) Required 4 Years Working with medallion (bronze/silver/gold) architecture and incremental ingestion via Auto Loader, Structured Streaming, or Lakeflow/DLT Required 4 Years Using Unity Catalog for Workspace Catalogs, schemas, permissions, lineage, external locations, and storage credentials Required 4 Years Right-sizing clusters and SQL warehouses and diagnose partitioning, shuffle, skew, and caching issues via Spark UI Required 4 Years Scheduling and managing dependencies with ADF Pipelines, Databricks Workflows (Jobs), and using Git folders (Repos) for source control Required 4 Years Designing MPP warehouse tables, including distribution (hash, round-robin, replicated), columnstore indexes, and partitioning Required 4 Years Querying Parquet, Delta, and CSV files in ADLS Gen2 using OPENROWSET, external tables, and views Required 4 Years Building star-schema facts, dimensions, stored procedures, and views, including SCD Type 1 and Type 2 Required 4 Years Developing with COPY INTO, PolyBase, and CETAS, and building parameterized Synapse/ADF pipelines (copy, data flows, triggers) Required 4 Years Workload management, resource classes, statistics, materialized views, result-set caching, and pool scaling/pausing Required 4 Years ADLS Gen2 folder/file-format design (Parquet/Delta), Entra ID access control, managed identities, and Key Vault Required 4 Years Git and CI/CD in Azure DevOps or GitHub, including branching, PRs, and deploying Synapse artifacts and Databricks Asset Bundles Required 4 Years Monitoring pipelines and workloads with Azure Monitor/Log Analytics and alerting, and troubleshooting failed jobs Required 4 Years Strong written and verbal communication skills Required Using Microsoft lakehouse patterns, including interoperability and migration paths between Synapse and Databricks Required 4 Years Databricks Certified Data Engineer Associate (Databricks Certified Data Engineer Professional a plus) Highly desired Microsoft Certified: Azure Data Engineer Associate (DP-203) if already held Highly desired Power BI connectivity to Synapse (Import vs. DirectQuery) and how model design affects dashboard performance Desired 4 Years About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18 years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.

Job Description Job Description Senior SAP BTP / CAP Full-Stack Engineer Location: Indianapolis, IN Duration: 6 Months Experience: 6-10+ years overall Education: Bachelor's degree in Engineering or relevant field Base Salary Range: $120,000-$140,000 Education Start Date: 01-Oct-2026 Assignment Duration: 36 months Must-Have Technical Skills SAP BTP Cloud Foundry SAP CAP (Cloud Application Programming Model) Node.js / TypeScript REST / OData APIs SAP HANA Cloud Authentication and Authorization BTP Destinations and Connectivity Git Strong API and Integration Development Roles & Responsibilities Build and deploy applications on SAP BTP Cloud Foundry . Develop backend services using SAP CAP, Node.js, and TypeScript . Build and support modern React-based UX rather than conventional Fiori-only applications. Design HANA Cloud persistence and canonical data models. Develop secure REST/OData APIs and agent tools. Configure and utilize: BTP Destinations Authentication Connectivity Service bindings Integrate SAP BTP with SAP IBP and S/4HANA . Implement planner approval workflows and controlled sandbox execution. Capture and audit: Agent runs Tool calls Recommendations Approvals Execution activities Implement actual SAP read-back and reconciliation after transactions. Generic / Managerial Skills Quick learner and self-driven. Ability to work directly with business users. Strong cross-functional collaboration and requirements-gathering skills. Ability to plan and prioritize work effectively. Customer-facing delivery experience. Excellent written and verbal communication skills. Ability to lead project initiatives and ensure timely, high-quality delivery. Resume Search Keywords SAP BTP SAP BTP Cloud Foundry SAP CAP CAP Full-Stack Engineer Node.js TypeScript React HANA Cloud REST APIs OData SAP IBP SAP S/4HANA BTP Destinations SAP Integration API Development Agent Tools Full-Stack Development Git Key requirement: Looking for a hands-on builder who can code and deploy , not someone whose experience is primarily: BTP administration Fiori configuration PowerPoint-based architecture Pre-Screening Question Describe your experience supporting SAP EWM / Warehouse Management Systems in a pharmaceutical warehouse environment . Regulated Position / Work Authorization The position may require specific work authorization depending on applicable regulations. Potential regulations include: ITAR - International Traffic in Arms Regulations NERC CIP - NERC Critical Infrastructure Protection NRC - Nuclear Regulatory Commission Other applicable regulations Role Classification Role: Senior SAP BTP / CAP Full-Stack Engineer Essential Skill: Senior SAP BTP / CAP Full-Stack Engineer Keyword: SAP Business Technology Platform (BTP) - Build Experience Required: 10+ years

Job Description Job Description Software Guidance & Assistance, Inc., (SGA), is searching for a Machine Learning Engineer for a contract assignment with one of our premier BANKING clients in Cincinnati, OH . Responsibilities : Design, build, and optimize scalable machine learning platforms and production ML systems. Focus on enabling end-to-end machine learning lifecycle management, including feature engineering, model development, deployment automation, monitoring, governance, and continuous improvement. ML Platform Engineering & Model Operations Design, develop, deploy, and manage production-grade machine learning solutions. Build scalable and reusable machine learning platforms that support model development, training, validation, deployment, and monitoring. Implement best practices for model versioning, experimentation tracking, governance, and reproducibility. Develop frameworks to support both batch and real-time inference workloads. Optimize machine learning systems for performance, reliability, maintainability, and cost efficiency. MLOps Pipeline Development Design and maintain automated CI/CD/CT (Continuous Integration, Continuous Delivery, Continuous Training) pipelines for machine learning workflows. Automate model testing, validation, deployment, rollback, and retraining processes. Establish infrastructure-as-code practices and automated environment provisioning. Build operational tooling to support model lifecycle management across development, testing, and production environments. Feature Store & Data Engineering Integration Design and support enterprise feature stores to improve feature reuse, consistency, and model governance. Collaborate with data engineering teams to integrate machine learning solutions with data warehouses, data lakes, and operational data sources. Develop scalable data pipelines supporting both training and inference workloads. Optimize data availability, quality, lineage, and observability. Production Monitoring & Reliability Implement model monitoring frameworks covering: Model performance Data quality Data drift Concept drift Feature drift System health and reliability Establish alerting, observability, and incident management processes. Develop strategies for model retraining and continuous performance improvement. Real-Time Machine Learning Systems Build and support low-latency scoring and prediction platforms. Develop event-driven machine learning architectures using streaming technologies. Partner with business and engineering teams to enable near real-time decisioning capabilities. Governance, Security & Compliance Implement MLOps governance standards and controls. Ensure compliance with enterprise security, privacy, risk, and regulatory requirements. Support model auditability, explainability, lineage tracking, and documentation. Partner with risk, compliance, and cybersecurity teams to maintain operational standards. Collaboration & Technical Leadership Collaborate closely with data scientists, analytics teams, product owners, and software engineers. Translate business requirements into scalable technical solutions. Mentor junior engineers and contribute to MLOps standards, patterns, and best practices. Drive adoption of modern machine learning engineering methodologies across the organization. The engineer will help establish and mature enterprise MLOps capabilities, including: Feature Store implementation and adoption. Model Registry and governance processes. Automated CI/CD/CT pipelines. Real-time model deployment and scoring. Enterprise machine learning monitoring and observability. Reusable machine learning platform services that accelerate model development and deployment across data science teams. Required Skills : 5+ years of experience in Machine Learning Engineering, MLOps, Data Engineering, or Software Engineering. 3+ years of experience building and supporting production machine learning systems. The ideal candidate has strong experience building and operationalizing machine learning solutions in cloud environments, developing CI/CD pipelines for ML workloads, and collaborating with data scientists, data engineers, software engineers, and business stakeholders. Experience working in highly regulated industries such as financial services, banking, healthcare, insurance, or telecommunications is highly desirable. Demonstrated experience implementing end-to-end machine learning lifecycle management. Experience operating ML workloads in cloud environments (AWS, Azure, or GCP). Experience supporting both batch and real-time machine learning solutions. Experience working with large-scale structured and unstructured data. Machine Learning & MLOps ML lifecycle management Model deployment and orchestration Experiment tracking and model versioning Model monitoring and observability Feature Store architecture Model Registry implementation Automated retraining workflows Responsible AI and model governance practices Cloud Platforms Experience with one or more: AWS SageMaker Azure Machine Learning Google Vertex AI Programming Proficiency in: Python (required) SQL (required) Java, Scala, or R (preferred) Data Platforms Experience with: Snowflake Databricks IBM DB2 or equivalent enterprise RDBMS platforms Data lakes and modern cloud storage platforms Data Transformation Experience with: dbt Spark Pandas PySpark DevOps & Infrastructure Experience with: Git/GitHub/GitLab Jenkins, GitHub Actions, Azure DevOps, or equivalent CI/CD tools Terraform or infrastructure-as-code frameworks Linux administration Shell scripting Containers & Orchestration Experience with: Docker Kubernetes OpenShift (preferred) Streaming & Real-Time Technologies Experience with: Apache Kafka Event-driven architectures Real-time inference pipelines Monitoring & Observability Experience with: Prometheus Grafana ELK Stack Cloud-native monitoring solutions Preferred Skills : Experience implementing enterprise Feature Stores. Experience designing Model Registry and ML Governance frameworks. Experience building real-time decisioning or scoring platforms. Experience supporting credit risk, fraud, customer analytics, recommendation systems, or predictive analytics use cases. Experience with MLFlow, Kubeflow, Airflow, Argo Workflows, Feast, SageMaker Pipelines, or similar MLOps platforms. Knowledge of software architecture patterns and distributed systems. Familiarity with AI/ML regulatory frameworks and model risk management practices. Relevant cloud certifications (AWS, Azure, GCP) preferred. By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

Job Description Job Description Role Summary We are hiring an AI Engineer to design, build, and operate agentic AI systems - LLM-powered agents that reason over enterprise data, call tools, and execute multi-step workflows end to end. This is a hands-on engineering role at the center of how we automate complex technical and operational work. You will take ambiguous problems, decompose them into agent workflows, and ship production services that engineering teams depend on daily. This is an ideal role for an engineer with a strong Python and ML foundation who has already shipped LLM or RAG applications and now wants to go deeper into orchestration, tool-calling, and autonomous multi-agent architectures. You will work within an established platform and architecture, with senior engineers available for design review - but you will own your components from prototype through production. Key Responsibilities Agent Design & Orchestration Build and ship LLM-powered agents that plan, call tools, and complete multi-step tasks using frameworks such as LangChain, LangGraph, or equivalent orchestration libraries. Implement multi-agent workflows - planner, executor, reviewer, and specialist roles - including state handling, hand-off logic, retries, and graceful failure paths. Design and expose tools to agents via function-calling and Model Context Protocol (MCP) servers, wrapping internal APIs, databases, and enterprise systems as safe, well-scoped agent capabilities. Retrieval & Knowledge Systems Build and operationalize Retrieval-Augmented Generation (RAG) pipelines: chunking, embedding, vector and hybrid search, re-ranking, and context assembly. Integrate structured, semi-structured, and unstructured sources - SharePoint, Confluence, Jira, REST APIs, Excel, and SQL warehouses - into retrieval and agent context layers. Continuously improve answer grounding and reduce hallucination through better retrieval, prompt design, and context management. Engineering & Deployment Develop production Python services and APIs for agent and model inference using FastAPI, containerized with Docker and deployed through standard CI/CD pipelines. Instrument agents with tracing, token and cost accounting, latency monitoring, and structured logging so that behavior is observable and debuggable in production. Apply MLOps and LLMOps practices including version control for prompts and configs, automated regression testing, and safe rollout of model or prompt changes. Evaluation & Quality Build evaluation harnesses for agent workflows - golden datasets, task-level success metrics, LLM-as-judge scoring, and regression suites that gate releases. Measure and tune for accuracy, latency, and cost, and make explicit trade-offs between them based on the use case. Collaboration Partner with domain experts, data engineers, and product stakeholders to turn manual workflows into reliable automated agents. Deliver results through interfaces users actually adopt - Streamlit apps, chat interfaces, dashboards, and embedded integrations. Write clear design notes and runbooks, and participate actively in code and design reviews. Required Qualifications 3-5 years of professional software, ML, or data engineering experience, including at least 1 year building LLM-based or GenAI applications. Strong Python engineering skills - not just notebooks. Production code, testing, packaging, async patterns, and API development with FastAPI or similar. Hands-on experience with at least one LLM orchestration framework (LangChain, LangGraph, LlamaIndex, Semantic Kernel, or an equivalent) in a shipped application. Demonstrated experience building RAG systems: embeddings, vector stores (e.g., FAISS, pgvector, Pinecone, Chroma), and retrieval quality tuning. Practical command of prompt engineering, structured output, function/tool calling, and context-window management. Working knowledge of SQL and cloud data platforms (Snowflake, Databricks, or equivalent), and comfort writing queries against enterprise schemas. Experience containerizing and deploying services with Docker and shipping through CI/CD on a major cloud (Azure, AWS, or GCP). Solid grounding in ML fundamentals and familiarity with PyTorch, TensorFlow, or HuggingFace Transformers. Clear written and verbal communication, and the judgment to escalate when a problem is under-specified rather than guessing. Preferred Qualifications Experience building or consuming Model Context Protocol (MCP) servers, or comparable agent tool-integration layers. Production experience with multi-agent or agentic workflow systems, including human-in-the-loop checkpoints and approval gates. Familiarity with LLM observability and evaluation tooling such as LangSmith, Langfuse, Weights & Biases, or MLflow. Experience with workflow orchestration tools - Airflow, Dagster, Prefect - or analytics engineering with DBT. Exposure to model fine-tuning or parameter-efficient adaptation (LoRA/PEFT) and knowing when it is - and is not - the right answer. Background in a technical engineering domain (semiconductor, hardware validation, manufacturing, or similar) where agents operate over specialized data. Experience with AI governance, responsible-AI review, or enterprise security requirements for LLM deployments.

Job Description Job Description Role Purpose Seeking a Grade D Data Privacy & AI Governance Expert to shape and lead enterprise privacy, data governance and responsible AI transformations. The role translates FTC obligations, privacy commitments, and related U.S. requirements into practical operating models, platform-enabled controls, and audit-ready evidence. This leader will use AI and agentic capabilities to accelerate governance while establishing the policies, accountable ownership, technical controls, and human oversight required to govern AI systems and autonomous agents responsibly. Your Role Advise CDO, CIO, CTO, Legal, Privacy, Risk, Security, Compliance, and business leaders; lead executive workshops and convert ambiguous obligations into strategies, roadmaps, architectures, investment choices, and measurable outcomes. Lead FTC-aligned privacy and data-protection assessments covering data inventories and flows, privacy notices and commitments, consent and preference management, collection and purpose limitation, sensitive data, retention and deletion, access controls, third parties, incident response, monitoring, and substantiation of claims. Design privacy-by-design and governance operating models, decision rights, policies, standards, controls, RACI models, escalation paths, evidence requirements, KPIs, and remediation portfolios across complex global environments. Lead platform evaluation, architecture, implementation assurance, and integration across data catalogs, privacy management, lineage, data quality, MDM, observability, GRC, cloud, and AI governance capabilities. Own solution quality, design authority, delivery risk, executive communications, and stakeholder alignment; mentor practitioners and create reusable methods, accelerators, and thought leadership. FTC, Privacy, and Regulatory Capabilities Deep understanding of the FTC Act's unfair or deceptive practices standard and practical application to privacy, security, advertising, and AI-related representations; ability to translate enforcement themes, consent orders, and business guidance into control objectives and evidence. Working knowledge of relevant U.S. privacy and sector obligations, including state comprehensive privacy laws, COPPA, FCRA, GLBA Safeguards, Health Breach Notification, and breach-response requirements, with the judgment to engage legal counsel for formal interpretation. Experience with privacy program operations: records of processing, data mapping, DPIAs/PIAs, rights requests, consent, cookies and tracking, vendor risk, retention, deletion, de-identification, incident readiness, training, metrics, control testing, and audit support. AI for Governance Governance for AI Apply GenAI and agents to Client and classify data, enrich metadata, map obligations to policies and controls, draft privacy assessments, recommend quality rules, triage issues, collect evidence, and continuously monitor control performance. Design progressive autonomy with confidence thresholds, least privilege, human-in-the-loop or human-on-the-loop approvals, segregation of duties, exception routing, traceability, observability, rollback, and named accountability. Operationalize AI governance across use-case intake, risk tiering, data and RAG readiness, model and agent inventory, privacy and security review, evaluation, deployment gates, monitoring, incidents, recertification, retirement, and third parties. Address training-data and prompt privacy, confidential-data use, provenance, purpose limitation, data minimization, output risks, bias, explainability, agent identity, tool permissions, prompt injection, data leakage, unsafe action, and cascading failures. Data Privacy & AI Governance Expert Data Governance and Privacy Platform Expertise Architecture and implementation knowledge across several leading platforms such as OneTrust, BigID, Securiti, TrustArc, Informatica IDMC/CDGC, Collibra, Alation, Ataccama, Atlan, Microsoft Purview, IBM watsonx.governance, Databricks Unity Catalog, and comparable cloud-native governance, privacy, quality, MDM, and AI governance services. Ability to compare capabilities without platform bias and design interoperable patterns for metadata, lineage, classification, consent, rights, retention, policy enforcement, risk and control mapping, workflow, evidence, and reporting. Integration experience across multi-cloud, lakehouse, warehouse, ERP, CRM, SaaS, MDM, and on-premises landscapes using APIs, events, batch, semantic layers, knowledge graphs, policy-as-code, and governed agent tool access. Required Experience and Capabilities Typically 10 years in privacy, data governance, risk, compliance, data management, architecture, or consulting, including leadership of complex enterprise programs and multiple implementation lifecycles. Demonstrated success operationalizing privacy obligations and commitments through processes, controls, technology, and evidence; experience supporting regulatory readiness, investigations, audits, or remediation is strongly preferred. Hands-on credibility with data governance and privacy platforms, data architectures, and AI lifecycle controls; working knowledge of RAG, agent orchestration, MCP/tool use, semantic models, knowledge graphs, evaluation, and monitoring. Executive communication, consulting, facilitation, negotiation, proposal shaping, estimation, delivery governance, and leadership across legal, business, security, data, cloud, and AI teams. Bachelor's degree in Law, Privacy, Cybersecurity, Computer Science, Information Systems, Engineering, Data Science, Business or a related discipline, or equivalent relevant experience. J.D. is valued for legal-advisory backgrounds but is not required for this consulting role.

Job Description Job Description Job Summary: Our client is seeking an experienced Data Warehouse ETL Developer to join their Data Analytics Team. The ideal candidate will have strong expertise in ETL methodologies, SSIS, and data warehousing, supporting efforts to deliver high-quality data extracts, reports, and dashboards. The role requires a Baltimore-area resident with excellent SQL skills and experience working within cross-functional teams. Location: Baltimore, Maryland (Hybrid part-time in office, part-time virtual; may transition to fully on-site) Experience Required: 5 years ETL development, 3 years SSIS experience. Education: Bachelor's degree in Computer Science, IT, MIS, Business Management, Engineering, Project Management, Communications, or a related field (or equivalent experience). Key Responsibilities: Develop, execute, and monitor ETL processes ensuring accurate and efficient data movement and transformation. Retrieve data from multiple systems for data extracts, reports, and dashboards, ensuring data quality before release. Write and maintain SQL test scripts to validate data against source transactional systems and the data warehouse. Document ETL processes, test cases, and results to support testing repeatability and knowledge sharing. Collaborate with SQL Server DBAs, system architects, and developers to design and optimize stable, reliable databases. Plan and coordinate data migration activities between systems in line with project goals. Assist in defining business and testing requirements in coordination with stakeholders. Conduct unit, system, and performance testing; support User Acceptance Testing and issue resolution. Adhere to software development standards, change control processes, and security protocols. Participate in continuous improvement initiatives to enhance process efficiency and effectiveness. Communicate project status and progress regularly to sponsors and stakeholders. Build strong relationships with project sponsors, technical staff, vendors, and end-users to drive collaborative success. Required Qualifications: Minimum 5 years' experience in ETL methodologies and development. At least 3 years' hands-on experience with SQL Server Integration Services (SSIS). Proficient with SQL Server scripting and data modeling. Experience working with Azure SQL instances. Strong understanding of data warehousing principles, concepts, and architecture. Bachelor's degree in Computer Science, Information Technology, MIS, Business Management, Engineering, Project Management, Communications, or related field; or equivalent professional experience. Knowledge of software development lifecycle (SDLC) and programming concepts. Skilled in Microsoft Office applications including Word, Excel, PowerPoint, and Visio. Effective multitasking skills with ability to meet delivery deadlines. Excellent analytical, problem-solving, and visualization skills to tackle complex data challenges. Strong verbal and written communication skills with ability to effectively interact across all organizational levels. Capability to coordinate team efforts with other departments including research, assessment, and accountability units.

Job Description Job Description Key Responsibilities: Infrastructure Operations & Administration Administer, maintain, and optimize Windows Server environments across on-premises and cloud-based infrastructure. Perform OS upgrades, patch installation, testing, and ongoing system updates to ensure reliability and security. Develop and use PowerShell scripts and other automation tools to execute centralized and repetitive tasks efficiently. Lead and execute server migrations, including transitioning workloads from on-premises systems into cloud platforms. Security & Compliance Implement and maintain security configurations for servers, including endpoint protection, access control, and hardening standards. Conduct vulnerability remediation for servers and applications to maintain security compliance. Work with security tools and processes to ensure consistent protection and monitoring. Patching, Monitoring & Automation Manage patching cycles and use SCCM or similar platforms for automated patch deployment and reporting. Maintain ongoing monitoring and performance assessment of infrastructure services to identify and resolve issues proactively. Backup & Disaster Recovery Oversee routine backup operations and support recovery processes for mission-critical systems. Develop, refine, and support Disaster Recovery (DR) strategies to minimize downtime and protect data integrity. Production Application Support Provide advanced server-level support for enterprise applications using .NET, Java, SQL, Oracle, Microsoft Dynamics, and warehouse technologies. Troubleshoot high-impact production issues across hybrid infrastructure and middleware layers. Networking & Systems Integration Apply deep knowledge of OSI model layers and networking protocols to diagnose connectivity and application issues. Collaborate with cross-functional teams to support application deployments and infrastructure enhancements. Communication & Collaboration Translate business or user requests into actionable technical solutions and communicate effectively in English, both verbally and in writing. Work closely with the IT Portfolio Manager and Infrastructure & Operations teams to align engineering efforts with organizational needs.

Job Description Job Description Title: Sr. Infrastructure Engineer Location: Richmond - VA (Hybrib) Duration: 10 Months Intreview type: In Person Only NOTE: Local candidates preferred, or must be willing to relocate to Richmond, VA metro area. Will be required to come on-site 1-2 days a week after initial training and knowledge transfer. Job Description The Client is seeking an experienced Senior Infrastructure Engineer to support and enhance its hybrid infrastructure environment. The ideal candidate must possess strong technical expertise across Windows Server, cloud platforms, security, patching, automation, and production application support. This role requires in-depth and hands-on experience performing upgrades, migrations, remediation, and troubleshooting within mission-critical systems. The Senior Infrastructure Engineer will work across diverse technologies including Java, .NET, Oracle, SQL, Microsoft Dynamics, and warehouse platforms, supporting both server-level and complex production application needs. The engineer must also demonstrate strong networking knowledge, including deep familiarity with OSI layers and network protocol behavior. Preferred qualifications include Microsoft- and network-focused certifications. Key Responsibilities: Infrastructure Operations & Administration Administer, maintain, and optimize Windows Server environments across on-premises and cloud-based infrastructure. Perform OS upgrades, patch installation, testing, and ongoing system updates to ensure reliability and security. Develop and use PowerShell scripts and other automation tools to execute centralized and repetitive tasks efficiently. Lead and execute server migrations, including transitioning workloads from on-premises systems into cloud platforms. Security & Compliance Implement and maintain security configurations for servers, including endpoint protection, access control, and hardening standards. Conduct vulnerability remediation for servers and applications to maintain security compliance. Work with security tools and processes to ensure consistent protection and monitoring. Patching, Monitoring & Automation Manage patching cycles and use SCCM or similar platforms for automated patch deployment and reporting. Maintain ongoing monitoring and performance assessment of infrastructure services to identify and resolve issues proactively. Backup & Disaster Recovery Oversee routine backup operations and support recovery processes for mission-critical systems. Develop, refine, and support Disaster Recovery (DR) strategies to minimize downtime and protect data integrity. Production Application Support Provide advanced server-level support for enterprise applications using .NET, Java, SQL, Oracle, Microsoft Dynamics, and warehouse technologies. Troubleshoot high-impact production issues across hybrid infrastructure and middleware layers. Networking & Systems Integration Apply deep knowledge of OSI model layers and networking protocols to diagnose connectivity and application issues. Collaborate with cross-functional teams to support application deployments and infrastructure enhancements. Communication & Collaboration Translate business or user requests into actionable technical solutions and communicate effectively in English, both verbally and in writing. Work closely with the IT Portfolio Manager and Infrastructure & Operations teams to align engineering efforts with organizational needs. Required / Desired Skills: In-depth hands-on experience working with Windows Server in hybrid environments (on-premises and cloud). Demonstrated ability to translate user requests, provide technical support and communicate effectively in English orally and in writing In-depth hands-on experience with OS upgrades, patch installation and testing, In-depth hands-on experience with scripting utilities (PowerShell)and Windows server scripting to accomplish centralized tasks In-depth experience performing regular patching and updates to ensure system security and stability. Experience overseeing backup operations and recovery processes in mission critical environments. In-depth experience planning and executing server migrations, including moving workloads from on premises to the cloud. In-depth experience working in an environment that utilizes multiple frameworks/technologies including .NET, Java, SQL/Oracle, Microsoft Dynamics, etc In-depth experience providing server-level support and troubleshooting issues for production applications. In-depth experience managing vulnerability server and application remediation. Experience with tools like SCCM for automated patch management & deployment. Experience crafting disaster recovery (DR) plans to ensure minimal downtime and prevent data loss. Strong networking knowledge - including understanding OSI layer functionality and network protocols. Ability to work with cross-functional teams to address infrastructure needs and support application deployment. Have achieved Microsoft-focus certifications such as Azure Administrator Associate, Windows Server Hybrid Administrator Associate, etc. Has achieved network focused certifications such as Network , CCNA, etc.

Job Description Job Description Job Title: (Systems Engineer 5) About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development. Job Description Description: Summary: The main function of a Systems Engineer is to perform a wide variety of installation, configuration and upgrading of servers and related hardware and software in a LAN, WAN and stand-alone environment, providing investigation, diagnostic testing and repair/resolution of system, hardware, software and infrastructure. Job Responsibilities: • Complete configuration, installation and support of equipment to the specifications of the business • Maintain software applications and operating systems through regular maintenance • Maintain configuration and support documentation • Manage assigned projects and program components to deliver services in accordance with established objectives • Supervise the administration of systems and servers to ensure availability of services to authorized users • Maintain multi-site network operations, software applications, operating systems through regular maintenance • Troubleshoot malfunctions of hardware, software applications and security systems to resolve operational issues and restore services Qualifications: • Bachelor's degree in a technical field such as computer science, computer engineering or related field required • 10+ years experience required • Broad knowledge of IT Systems engineering • Experience with system capacity and planning, as well as functional configuration and audit • Experience with system planning and capacity tools and analyses Key Responsibilities: Solution Architecture & Platform Design •Define and maintain the overall technical architecture for Planisware implementations across business domains. •Establish scalable solution designs supporting enterprise portfolio management, project management, resource planning, financial planning, and scenario planning capabilities. •Design multi-environment strategies including development, testing, and production environments. •Ensure compliance with enterprise architecture, security, and integration standards. •Develop architectural standards, reusable components, and technical best practices. System Configuration & Development Leadership •Lead technical configuration of the Planisware platform. •Guide development team on configuration, customization, extensions, workflows, and automation. •Review technical designs and code to ensure performance, maintainability, and scalability. •Support release management, deployment planning, and environment governance. Enterprise Integration •Design and oversee integrations between Planisware and enterprise systems including: •SAP, Jira, Active Directory / SSO platforms •Data warehouses and reporting solutions Planning and portfolio management systems •Define API, file-based, and event-driven integration patterns. •Collaborate with enterprise integration and data engineering teams to implement reliable, secure data exchanges. Data Migration & Data Architecture •Own technical strategy for data conversion and migration activities. •Design migration frameworks, validation approaches, reconciliation processes, and cutover plans. •Lead data quality assessments and remediation activities. •Ensure successful migration of project, portfolio, resource, financial, and historical program data. Governance, Security & Operations •Establish platform governance standards and technical operating procedures. •Design role-based security models and access controls. •Support audit, compliance, and regulatory requirements. •Define monitoring, performance management, backup, disaster recovery, and operational support processes. Stakeholder Engagement •Partner with implementation partners, business leaders, PMO organizations, Finance, Product Development, and IT stakeholders. •Translate business requirements into technical solution designs. •Facilitate architecture reviews, design workshops, and technical decision-making sessions. •Mentor internal resources and support development of a Planisware Center of Excellence (CoE). Location : (Warren,MI) Disclaimer: Kyyba is an Equal Opportunity Employer. Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need." It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at Rewards: Medical, dental, vision 401k Term life Voluntary life and disability insurance Optional Pre-paid legal plan Optional Identity theft plan Optional Medical and dependent FSA Work-visa sponsorship Opportunity for advancement Long-term assignment with opportunity for hire by client SELECT AWARDS An INC 5000 company for 10 years Corp! 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Job Description Job Description Data Scientist St. Louis, MO All candidates selected for an interview are required to complete our mandatory identity verification process. Job Description Generates reports and regular datasets or report information for end-users, using system tools and database or data warehouse queries and scripts. May create specifications for reports based on business requests. • Designs, develops and programs methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources to generate actionable insights and solutions for client services and product enhancement. Analyzes and models data to understand complex business issues and provide insight to decision makers. Integrates data from multiple sources to produce requested or required data elements. Programs and maintains reports, information dashboards, data generators, canned reports and other end-user information portals or resources. • Uses advanced mathematical and statistical concepts and theories to analyze and collect data; identifies and interprets trends and patterns in datasets. • Supports complex business problems and issues using unstructured data from internal and external sources to provide insight to decision-makers. • Builds or defines machine learning / Artificial Intelligence (AI) solutions that create value for the business. Key responsibilities include: • Addresses business problems by applying advanced analytics techniques through broad parameters on big, unstructured data sets. • Designs databases for unstructured data sets, defining how the data will be stored, consumed, integrated and managed. • Develops optimal techniques and problem-solves to understand and explore multiple reasons for correlations between disparate data sets; provides coaching on how to transform and clean data into an appropriate form for statistical analysis. • Conducts exploratory data analysis from complex data sources and builds key data sets. • Works closely with data analysts and data engineers to review and provide feedback on data pipelines and optimization opportunities. • Translates complex business requirements and technical designs into data science / artificial intelligence solutions aligned to business goals that deliver measurable value to the organization.