Data Migration Vs Database Migration Jobs in Usa
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Minimum of five years experience working in analytics with hospitals and health plans.
Advanced proficiency required with VBA, SQL, Salesforce, Excel and Access.
High-level skills using web applications and all browsers; ability to teach others how to use web-based database functions.
Demonstrated experience using Microsoft Office computer applications, including Word, Access, Outlook and SharePoint.
Advanced knowledge of Excel required.
Detail-oriented with strong follow-through and ability to work independently given standard guidelines and checklists.
Good writing and communication skills.
Able to draft grammatically correct and professional email messages.
Demonstrated experience in working successfully with minimal supervision.
Must have knowledge of medical and health care terminology.
Ability to complete HIPAA training and implement high-level protections on patient information and confidentiality.
Must work effectively independently and in a team setting.
Ability to relate well with internal and external customers.
Quality/Metrics: Gather and perform analysis on data from Salesforce, Loopback, Excel, and other databases as required.
Perform data cleaning as needed to ensure data are consistent and analyzable.
Create data reports, charts, graphs and tables for regular reporting to program leads and external partners.
Export data from software systems and program tracking logs for agency reporting.
Assemble reports, papers and presentation materials as directed.
Collect data through phone and in-person interviews.
Record or transcribe data in accordance with project and funding source guidelines.
Perform literature reviews (locating, listing &/or abstracting articles).
Enter literature references into shared database (such as EndNote) Responsibilities: Data cleaning, formatting, and maintenance as needed.
Data visualization and analysis of program metrics.
Data Entry for the program(s) assigned.
Program reporting/billing/invoicing support.
Administrative duties as needed (Mailing and other assigned work) Establish and maintain systems for program accountability – reports track performance.
Attend and ensure follow up after all meetings and presentations – minutes, reports, action plans, assignments, and etc.
Monitors performance, responsibilities of field staff with respect to database management, metrics, and documents.
Reports all errors in systems, workflows, and both internal and external individuals.
Completes reporting (both internal and contractual requirements) with thorough knowledge and understanding of what is being reported.
Develops and maintains a current understanding of the Department’s Contractual Agreements.
Must have professional verbal and written skills, computer/software skills.
Assists with both internal and external customer service calls, emails, and requests.
Other Miscellaneous tasks assigned, as needed.
SQL Server database design, implementation, troubleshooting Develop, optimize, and maintain complex T-SQL queries, stored procedures, indexes, constraints; resolve performance issues, deadlocks, and contentions using traces, execution plans, and profiling.
Design, develop, test, and implement ETL/ELT processes using Talend for data extraction, transformation, and loading from diverse sources, including Salesforce CRM data.
Administer and optimize Talend environment, including job scheduling, dependencies, monitoring, automation, patches, upgrades, and performance tuning.
Integrate Salesforce data (e.g., via APIs, connectors) into SQL Server databases and data warehouses, ensuring data quality, synchronization, and real-time/ batch processing.
Collaborate face-to-face/with business stakeholders to analyze requirements, gather specifications, evaluate data sources/targets, and design solutions that improve business performance.
Lead ETL development activities, ensure code quality, provide feedback on performance.
Support enterprise data warehouse, data marts, and business intelligence initiatives; perform source data analysis and dimensional modeling.
Develop and automate processes using scripting.
Provide tier 2/3 support, evaluate production issues, recommend improvements, and participate in project planning following Agile methodologies.
Perform proactive performance optimization, and data synchronization across environments Mentor staff, recommend process enhancements, and contribute specialized knowledge across IT and business operations.
Document data integration processes, workflows, ETL designs, data mappings, technical specifications, and system configurations Manage version control, deployments Collaborate on testing (unit, integration, UAT Translated business requirements into actionable data specifications, documentation, and code solutions using Salesforce Object Manager and official documentation Reviewed Salesforce release notes, verified production deployments, and conducted feature testing across sandbox and production environments with detailed feedback submission Developed and maintained complex SOQL queries to support data team operations, reporting, and analytics needs Designed and built custom Salesforce reports to support data operations and Enhanced Care Management (ECM) programs Developed and deployed end-to-end solutions for processing health plan MIF data, enabling efficient insert, update, and reporting workflows for Lead and Case objects Performed large-scale data inserts, updates, and migrations using Salesforce Data Loader in both sandbox and production environments Extracted, analyzed, and transformed backend Salesforce data using Talend and SQL to produce accurate reports for compliance, billing, and operational needs Identified and resolved reporting discrepancies and data quality issues through root-cause analysis and targeted corrections Cleaned, standardized, and transformed referral data for mass uploads into Salesforce while enforcing validation rules and workflow requirements Created Salesforce-based error reports that enabled program teams to quickly identify and correct data entry issues Conducted data gap analyses against vendor reporting requirements and designed field transformations and new data structures to meet compliance and reporting standards Integrated offshore datasets with Salesforce records to address missing or incomplete data, improving accuracy for reporting and billing Reduced manual data entry and correction efforts by automating large-scale updates, inserts, and fixes via Salesforce Data Loader Maintained vendor zip code records in Salesforce to ensure accurate service area tracking, correct billing rates, and reliable historical reference Partners in Care Foundation is an equal opportunity employer.
We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations.
It is our intent to maintain a work environment which is free of harassment, discrimination, or retaliation because of age, race (including hair texture and protective hairstyles, such as braids, locks, and twists), color, national origin, ancestry, religion, sex, sexual orientation, pregnancy (including childbirth, lactation/breastfeeding, and related medical conditions), physical or mental disability, genetic information (including testing and characteristics, as well as those of family members), veteran status, uniformed service member status, gender, gender identity, gender expression, transgender status, arrest or conviction record, domestic violence victim status, credit history, unemployment status, caregiver status, sexual and reproductive health decisions, salary history or any other status protected by federal, state, or local laws.
All qualified applicants will receive consideration for employment and reasonable accommodations may be made to enable qualified individuals to perform the essential functions of the position.
Remote working/work at home options are available for this role.
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
AI & Data - Data Architecture – Senior Manager – Power & Utilities Sector
EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.
The opportunity
You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.
Skills and attributes for success
To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:
- Technical Skills Applications Integration
- Cloud Computing and Cloud Computing Architecture
- Data Architecture Design and Modelling
- Data Integration and Data Quality
- AI/Agentic AI driven data operations
- Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
- Strong relationship management and business development skills.
- Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
- Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
- Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
- Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
- Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
- Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
- Establish data governance policies and practices, including data security, quality, and lifecycle management.
- Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role, you must have
- A Bachelor’s degree required in STEM
- 12+ years professional consulting experience in industry or in technology consulting.
- 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
- 5+ years’ experience with native cloud products and services such as Azure or GCP.
- 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
- In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
- Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
- Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
- Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
- Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
- Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
- Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
- Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
- Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
- Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
- Experience leading Infrastructure and Security engineers and architects in overall platform build.
- Excellent leadership, communication, and project management skills.
- Data Security and Database Management
- Enterprise Data Management and Metadata Management
- Ontology Design and Systems Design
Ideally, you’ll also have
- Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
- Experience working at big 4 or a major utility.
- Experience with cloud data platforms like Databricks.
- Experience in leading and influencing teams, with a focus on mentorship and professional development.
- A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
- The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
- Building and Managing Relationships
- Client Trust and Value and Commercial Astuteness
- Communicating With Impact and Digital Fluency
What we look for
We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.
FY26NATAID
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .
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Job Summary:
Our client is seeking a Data Steward to join their team! This position is located Hybrid in Creve Coeur, Missouri.
Duties:
- Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders
- Participate in data scraping, data curation and data compilation efforts
- Ensure high quality of the data to end users
- Ensure high quality of the inhouse data via data stewardship
- Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL, Postman, R, or Python and following the team’s established processes and methodologies
- Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts
- Define data quality rules and implement automated monitoring, reporting, and remediation solutions
- Coordinate intake and resolution of data support tickets
- Support data migration from legacy systems, data inserts and updates not supported by applications
- Partner with the Data Governance organization to ensure data is secured and access is being managed appropriately
- Identify gaps within existing processes and capable of creating new documentation templates to improve the existing processes and procedures
- Create mapping documents and templates to improve existing manual processes
- Perform data discoveries to understand data formats, source systems, etc. and engage with business partners in this discovery process
- Help answer questions from the end-users and coordinate with technical resources as needed
- Build prototype SQL and continuously engage with end consumers with enhancements
Desired Skills/Experience:
- Bachelor's Degree in Computer Science, Engineering, Science, or other related field
- Applied experience with modern engineering technologies and data principles, for instance: Big Data Cloud Compute, NoSQL, etc..
- Applied experience with querying SQL and/orNoSQL databases
- Experience in designing data catalogs, including data design, metadata structures, object relations, catalog population, etc.
- Data Warehousing experience
- Strong written and verbal communication skills
- Comfortable balancing demands across multiple projects / initiatives
- Ability to identify gaps in requirements based on business subject matter domain expertise
- Ability to deliver detailed technical documentation
- Expert level experience in relevant business domain
- Experience managing data within SAP
- Experience managing data using APIs
- Big Query experience
Benefits:
- Medical, Dental, & Vision Insurance Plans
- Employee-Owned Profit Sharing (ESOP)
- 401K offered
The approximate pay range for this position starting at $104,000 - $115,000+ Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Translate business process designs into clear master and transactional data definitions for S/4HANA.
Support template design by ensuring consistent data models, attributes, and hierarchies across geographies.
Validate data readiness for end-to-end process execution (Plan, Source, Make, Deliver, Return).
Define data objects, attributes, and mandatory fields.
Support business rules, validations, and derivations.
Align data structures to SAP best practices and industry standards.
Support data cleansing, enrichment, and harmonization activities.
Define and validate data mapping rules from legacy systems to S/4HANA.
Participate in mock conversions, data loads, and reconciliation activities.
Ensure data quality thresholds are met prior to cutover.
Support the establishment and enforcement of global data standards and policies.
Work closely with Master Data and Data Governance teams.
Help define roles, ownership, and stewardship models for value stream data.
Contribute to data quality monitoring and remediation processes.
Support functional and integrated testing with a strong focus on data accuracy.
Validate business scenarios using migrated and created data.
Support cutover planning and execution from a data perspective.
Provide post-go-live support and stabilization.
Requirements: 5 years of SAP functional experience with a strong data focus.
Hands-on experience with SAP S/4HANA (greenfield preferred).
Proven involvement in large-scale, global ERP implementations.
Deep understanding of value stream business processes and related data objects.
Experience supporting data migration, cleansing, and validation.
Required Skills: Strong knowledge of SAP master data objects (e.g., Material, Vendor/Business Partner, BOM, Routings, Pricing, Customer, etc.).
Understanding of S/4HANA data model changes vs.
ECC.
Experience working with SAP MDG or similar governance tools preferred.
Familiarity with data migration tools (e.g., SAP Migration Cockpit, LVM, ETL tools).
Ability to read and interpret functional specs and data models.
Strong stakeholder management and communication skills.
Ability to work across global, cross-functional teams.
Detail-oriented with strong analytical and problem-solving skills.
Comfortable operating in a fast-paced transformation environment.
Preferred Skills: Experience in manufacturing, building materials, or asset-intensive industries.
Prior role as Functional Data Lead or Data Domain Lead.
Experience defining global templates and harmonized data models.
Knowledge of data quality tools and metrics.
Experience with MGD and setting up cost center and profit center groups.
Title: Data Migration Specialist
Location: San Diego, CA
Duration: 6-9 Month Assignment + Potential Extensions
Work Model: Fully On-Site
Pay rate: $21-23/hour
Start Date: March 16, 2026
JOB DESCRIPTION
One of our large CDMO clients is seeking data migration specialist to transition from a legacy Quality Management System (QMS) to MasterControl. This role focuses on extracting structured and unstructured data from the previous QMS platform, validating its accuracy, and entering and organizing information within MasterControl according to established procedures. The ideal candidate is detail‑oriented, highly organized, and comfortable working with quality documentation and regulated data environments.
Key Responsibilities
- Extract data from the legacy QMS, including documents, records, metadata, and historical logs.
- Review, clean, and validate extracted data to ensure accuracy, completeness, and compliance with internal standards.
- Input and upload data into MasterControl following defined workflows and naming conventions.
- Collaborate with Quality, IT, and Compliance teams to resolve discrepancies and clarify data requirements.
- Maintain detailed logs and status reports to track progress and identify issues during migration.
- Support testing and verification activities to ensure data integrity after import into MasterControl.
- Follow all SOPs, work instructions, and regulatory guidelines related to data handling and documentation control.
Required Skills and Experience:
- High School Diploma
- Experience with Data Entry or Document Control in a regulated environment
- Ability to type 40+ words per minute
- Microsoft Office proficiency
Nice to Have Skills & Experience:
- Experience with MasterControl
Compensation:
$21.00/hr to $23.00/hr.
Exact compensation may vary based on several factors, including skills, experience, and education.
Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k)-retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.
AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future.
AGE is seeking a Software Developer with strong C# and database expertise to join our development team. This role focuses on building and maintaining robust middle-tier services and data-driven applications. The candidate will work closely with cross-functional teams to design, develop, maintain and optimize scalable backend systems that power critical business functionality.
The ideal candidate combines solid middle-tier development experience with deep database development knowledge and a strong understanding of system design, performance, maintainability, and data integrity.
This role is hybrid in Philadelphia, PA, requiring onsite reporting at the customer's facility at least 1 day/week. Candidates must reside within a commutable distance of Philadelphia, PA in order to work onsite as required.
Responsibilities Include:
- Design, develop, and maintain middle-tier services and backend components using C# and .NET technologies.
- Apply SOLID principles and clean architecture practices in application design.
- Build robust APIs and business logic layers to support web and enterprise applications.
- Collaborate with front-end developers, architects, and DevOps teams to deliver integrated solutions.
- Design, develop, optimize, and maintain relational databases (Oracle preferred).
- Write efficient stored procedures, views, functions, and complex queries.
- Optimize database performance, indexing strategies, and query tuning.
- Participate in code reviews and enforce best practices for clean, maintainable code.
- Troubleshoot and resolve production issues related to application logic and data layers.
- Contribute to architectural decisions and technical design discussions.
- Document technical designs and implementation details.
Required Skills, Qualifications and Experience:
- BA/BS in technical discipline.
- 10 years of experience in middle-tier and database development.
- Experience in applying SOLID principles and object-oriented design patterns.
- Strong proficiency in C# and .NET (.NET Core/.NET 6+) and ASP.NET Web API.
- Experience designing and building RESTful APIs and middle-tier services.
- Experience with ORM frameworks (Entity Framework preferred, Dapper).
- Strong SQL skills and experience with relational databases (Oracle preferred, SQL Server, PostgreSQL).
- Experience writing and optimizing complex queries and stored procedures.
- Strong understanding of data modeling and database design principles.
- Experience with version control systems (TFVC and Git).
- Strong problem-solving skills and attention to detail.
- Must be a United States citizen with a DoD Secret clearance or ability to obtain a favorably adjudicated T3 investigation.
Preferred Qualifications:
- Experience with microservices architecture
- Experience with CI/CD pipelines and DevOps best practices
- Experience with cloud platforms (Azure preferred)
- Experience with caching strategies (Redis, in-memory caching)
- Experience with performance profiling and monitoring tools
- Experience with containerization (Docker, Kubernetes)
- Experience with automated testing frameworks
Work Environment and Physical Demand:
- Must be able to work for extended periods of time at a computer.
Compensation: $115,000+
At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.
- 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
- Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
- 401(k) with Match: We match 3% of your contributions with immediate vesting.
- Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
- Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
- Parental Leave: 15 days of fully paid leave for new parents, because family matters.
- Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
- Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
- Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.
At AGE, you'll do work that matters, supported by a company that delivers for its people.
Length of Contract: 6 months
Location: Remote (Eastern time zone)
What are the top 3-5 skills, experience or education required for this position:
a. Proficiency in databases (SQL) and coding in R/Python
b. Experience with API development
c. Familiarity with AI techniques and strong curiosity for new technologies
d. Experience managing and curating bioinformatics datasets (BulkRNAseq, Proteomics, scRNAseq, CRISPR)
e. Code management, documentation, and version control (e.g., GitHub)
Job Overview: As a Data Analyst, you'll drive data quality and consistency in our central hub for storing OMICS data, address impactful data loading and curation projects and help improve and automate processes using agentic AI. Working closely with researchers, you'll ensure their data needs are met and help accelerate scientific discovery.
Key Responsibilities:
- Contribute to important data loading and curation projects for the departments Omics data server
- Address data quality and consistency issues in the CRISPR database.
- Apply agentic AI approaches for data loading and querying OMICS data
- Database Interaction: Use PostgreSQL to build, manage, and query large genomic datasets.
- API Development: Design and implement APIs for improved data accessibility and integration across platforms.
- Automation: Use Python and R to automate and optimize data workflows, prioritizing data quality and integrity.
- ETL Process Management: Develop and execute ETL processes to integrate high-value datasets in line with organizational standards.
- Collaboration: Work with cross-functional teams and research scientists to gather requirements, align to common data model standards, and facilitate effective data management.
- Documentation: Maintain comprehensive documentation and version control for reproducibility and teamwork.
Required qualifications:
- Master's degree in computer science, bioinformatics, or a related field, with 3+ years of relevant experience.
- Proven experience working with databases (PostgreSQL proficiency).
- Advanced skills in Python and R for automation and data manipulation.
- Experience handling and curating bioinformatics datasets (BulkRNAseq, Proteomics, scRNAseq, CRISPR).
- Code management, documentation, and usage of Github.
- Curiosity and basic knowledge of AI techniques applicable to data loading and querying.
- Excellent communication skills and a collaborative mindset.
- Demonstrated experience with AWS resources.
- Experience in API
Materials Data Specialist
Radiant is seeking a Materials Data Specialist to support the development of our internal materials database. This role focuses on researching, validating, and organizing material property data used by engineering teams across reactor design, thermal systems, and structural analysis.
The ideal candidate has a technical background in materials science, materials engineering, or a related engineering discipline and enjoys working at the intersection of engineering research, data quality, and structured documentation.
You will evaluate the quality of material property sources, organize data into defined schemas, and contribute to documentation that helps engineers confidently use materials data in design and analysis.
Responsibilities
Research Materials Data
- Search scientific literature, databases, and reports to identify relevant material property data.
- Evaluate the quality, reliability, and applicability of material property sources.
- Flag inconsistencies or uncertainty in data sources.
Structure Engineering Data
- Enter material property data into internal databases following defined schemas and standards.
- Maintain consistent formatting and traceability of data sources.
- Ensure data integrity and reproducibility for engineering use.
Document Materials Information
- Write concise descriptions of materials and their properties in supporting reports.
- Summarize relevant test conditions, limitations, and assumptions for engineering teams.
- Maintain clear documentation of data sources and methodologies.
Able to operate independently in low structure environments, collaborate across business and IT, and deliver high quality, AI ready data ecosystems.
Role Purpose Establish, advance, and mature data quality and governance capabilities in a green field, low maturity data environment.
Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture.
Drive long term improvement of data standards, definitions, lineage, and quality processes.
Key Responsibilities Data Quality & Engineering Perform data audits, profiling, validation, anomaly detection, and quality gap identification.
Develop automated data quality rules and validation logic using T SQL, SQL Server, stored procedures, and indexing strategies.
Build and maintain SSIS packages for validation, cleansing, transformation, and error detection workflows.
Troubleshoot ETL/ELT pipelines, data migrations, integration failures, and data load issues.
Conduct root cause analysis and implement preventive and long term remediation solutions.
Optimize SQL queries, tune stored procedures, and improve data processing performance.
Document audit findings, validation processes, data flows, standards, and quality reports.
Build dashboards and reports for data quality KPIs using Power BI/Tableau.
Data Stewardship & Governance Define, maintain, and enforce data quality standards, business rules, data definitions, and governance policies.
Monitor datasets for completeness, accuracy, timeliness, consistency, and compliance.
Ensure proper and consistent data usage across departments and systems.
Maintain business glossaries, data dictionaries, metadata repositories, and lineage documentation.
Partner with IT, data engineering, and business teams to support governance initiatives and compliance requirements.
Provide training on data entry, data handling, stewardship practices, and data literacy.
Collaborate with cross functional teams to identify recurring data issues and recommend preventive solutions.
GreenField / LowMaturity Environment Architect initial data quality frameworks, validation layers, governance artifacts, and ingestion patterns.
Establish scalable data preparation workflows supporting analytics, BI, and AI/ML readiness.
Mature data quality and governance processes from ad hoc to standardized, automated, and measurable.
Drive adoption of data quality and governance practices across business and technical teams.
Support long term evolution of enterprise data strategy and governance maturity.
Required Technical Skills Advanced T SQL, SQL Server development, debugging, and performance tuning.
SSIS development, deployment, and troubleshooting.
Data profiling, validation rule design, quality scoring, and measurement techniques.
ETL/ELT pipeline design, debugging, and optimization.
Data modeling (conceptual, logical, physical).
Metadata management and lineage documentation.
Reporting and dashboarding with Power BI, Tableau, or similar tools.
Strong documentation and communication skills.
Preferred Skills Knowledge of DAMA DMBoK, DCAM, MDM concepts, and governance frameworks.
Experience in low maturity/green field data environments.
Familiarity with AI/ML data readiness and feature store aligned data structuring.
Cloud data engineering exposure (Azure, Databricks, GCP).
Education Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.
Master’s degree preferred.
Certifications (Preferred) DAMA CDMP (Associate/Practitioner) EDM Council DCAM ASQ Data Quality Credential Collibra Data Steward Certification Certified Data Steward (eLearningCurve) Cloud/AI certifications (Azure, Databricks, Google)
For over 95 years, we have cared for our employees and customers, which is why we rank as the 19th largest privately-owned builder in the country and have a history of long-tenured employees.
We are proud to be named a U.S.
Best Managed Company in 2022, 2023, 2024, and 2025, a program sponsored by Deloitte Private and The Wall Street Journal, and to be officially certified as a Great Place to Work for the last three years.
Enrich your career at a company that values integrity, excellence, opportunity, stability, and success.
?? Headquartered in Fort Mitchell, Kentucky, Drees operates in twelve metropolitan areas: Greater Cincinnati (including Northern Kentucky), Cleveland, and Columbus, Ohio; Austin, Dallas, Houston, and San Antonio, Texas; Indianapolis, Indiana; Jacksonville, Florida; Nashville, Tennessee; Raleigh, North Carolina; and Washington, D.C.
Responsibilities Drees Homes is seeking a detail-oriented and analytical Business Analyst
- Data & Analytics to become a valued member of our team.
This role is ideal for someone passionate about transforming data into actionable insights that drive strategic decisions.
The ideal candidate will have strong technical skills in SQL, Power BI, and ETL processes, along with the ability to communicate findings clearly and collaborate across departments.
You will play a key role in shaping data-driven strategies by developing reports, dashboards, and documentation that support business goals.
?? Key Responsibilities: Data Analysis: Analyze complex datasets to uncover trends, patterns, and actionable insights.
SQL Development: Write and optimize SQL queries to extract, transform, and manipulate data from various databases.
Power BI Reporting: Design, develop, and maintain interactive dashboards and visual reports using Power BI.
Report Requirements Gathering: Collaborate with stakeholders to gather and document detailed reporting requirements.
ETL Processes: Design, implement, and manage ETL workflows to ensure data accuracy, consistency, and availability.
API Connections: Integrate and manage data from external systems using API connections to enhance data accessibility and automation.
Documentation: Create and maintain comprehensive documentation for data processes, methodologies, and analytical findings.
Cross-functional Collaboration: Work closely with business units to understand data needs and provide analytical support.
Ad-hoc and Scheduled Reporting: Generate regular and on-demand reports to support business decision-making.
Required Skills: Bachelor???s degree in Data Science, Computer Science, Statistics, or a related field.
Proven experience as a Data Analyst or in a similar analytical role.
Proficiency in SQL and Power BI.
Strong understanding of ETL processes and data warehousing concepts.
Knowledgeable in database systems including Oracle, AWS, and Azure.
Excellent analytical, problem-solving, and documentation skills.
Strong communication skills and the ability to work collaboratively in a team environment.
MUST be eligible to work in the US without sponsorship.
?? Premier Benefits to Support YOU -?? We offer a comprehensive benefits package, including: Medical, dental and vision Life, AD&D, and critical illness insurance Wellness rewards 401(k) savings plan Profit Sharing Paid time off increasing with tenure Tuition reimbursement Long and short disability and Parental leave Employee discount program on the purchase of a Drees Home Employee Assistance Program and much more! ?? Join a special team that works together to make Drees a successful company and a rewarding place to work! ?? ?? ?? Qualifications Equal Opportunity Employer / Drug-Free Work Place ?? To learn more about Drees Homes, please visit our website
- PI283053773
