Software Configuration Analyst
Orlando, FL jobs
Description:WHAT WE'RE DOING As a Member of the Software Configuration Management team, on the Joint Strike Fighter Training & Simulation program, your mission is to maintain the integrity and traceability of the COTS software released by the program to its customers.
THE WORK
The team operates in a software-focused environment where a variety of software tools are employed ranging from MS Office, to the Atlassian suite to EPDM.
As a Software Configuration Analyst, you will:
• Coordinate across teams
• Assess and close COTS software license-related problem reports
• Support Third Party Compliance (3PC) team for license compliance
• Partner with IPT engineering to confirm COTS software requirements and obsolescence
• Partner with 3rd party/OEM vendors to confirm portal access, purchased versions, agreement types, OEM account information and obsolescence
• Work with 3rd party/OEM vendors for correct versions required (downgrades and upgrades)
WHO YOU ARE
Strong computer skills are expected. The tasking of the team varies day-to-day based on program needs, so organization and communication skills are important to ensuring tasks are completed correctly and efficiently. Surge support is required to meet critical deadlines due to the work's critical nature, and extra effort may be needed.
Note: This position requires on-site presence in the Orlando office to meet client needs. Seeking individuals with the ability to intermittently flex work hours to support program schedules.
#LI-AR2
Basic Qualifications:
• Bachelor's degree and 1 or more years of engineering experience
• Experience with COTS/GOTS/FOSS Administration
• Ability to analyze proposed changes of product design to determine COTS SW licensing impacts to the product baselines
• Experience with 2 or more Toolsets: SharePoint, JIRA, SAP P2P, SAP COS, Microsoft Office Suite, ePDM Windchill
Desired Skills:
• Active secret clearance
• Previous experience working in an Agile environment
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Other Important Information You Should Know
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Schedule for this Position: 4x10 hour day, 3 days off per week
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Experience Level: Experienced Professional
Business Unit: RMS
Relocation Available: Possible
Career Area: Miscellaneous Engineering
Type: Full-Time
Shift: First
Senior GEOINT Analyst
Springfield, VA jobs
MANTECH seeks a motivated, career and customer-oriented Senior GEOINT Analyst to join our team in Springfield, VA
Job duties include, but are not limited to:
Conduct GEOINT analysis on national security issues using imagery, geospatial data, and multi-INT sources to identify trends, events, and relationships.
Integrate and coordinate intelligence across agencies, mission partners, and regional/functional offices to support policy makers, the IC, DoD, NGA, ASG, and allied organizations.
Research and apply structured observation management (SOM) and activity-based intelligence (ABI) techniques to enhance mission-specific analysis.
Produce accurate, timely, and relevant GEOINT products, including reports, database remarks, baseline descriptions, graphics, maps, infographics, and briefings.
Extract, acquire, and manage geospatial information (e.g., shapefiles, geo-databases) for visualization, modeling, and intelligence analysis.
Communicate findings effectively in written, visual, and oral formats tailored to mission requirements.
Prioritize and manage multiple tasks in dynamic environments while ensuring high analytical accuracy and relevance.
Minimum Requirements:
HS Diploma and 10+ years of GEOINT experience OR Associate's degree and 8+ years of experience OR Bachelor's degree and 6+ years of experience OR Master's degree + 6 years of experience
Experience with commercial and NTM imagery sources, search missions with softcopy tools, IEC exploitation workstations, and military infrastructure/order of battle analysis.
Experience conducting historical imagery research.
Experience and proficiency with MS Word, PowerPoint, database entry, and graphic design principles.
Desired Qualifications
Regional expertise to AOR, expertise in photogrammetry, remote sensing, or image processing.
Strong knowledge of the intelligence collection process to include NGA's relationships with other IC Agencies.
MS Word, PowerPoint, database entry and graphic design principles skills.
Security Clearance Requirements:
Active TS/SCI with the ability to obtain & maintain a Poly
Physical Requirements:
Must be able to remain in a stationary position 50%.
Must be able to communicate, converse, and exchange information with peers and senior personnel.
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
Data Management Analyst
Charlotte, NC jobs
Need strong Data Management resources that have hands-on data provisioning and ability to distribute the data.
Moderate to Advanced SQL skills (writing complex queries is a plus)
Commercial Lending (iHub, WICS, WICDR systems)/Commercial Banking Background
Metadata/Data Governance
Regulatory Reporting
Data Management Framework
SQL
Data Quality
Data Analyst
Piscataway, NJ jobs
Role: HEDIS Data Analyst
Key Responsibilities
Must have HEDIS Analytics & Reporting
Develop, validate, and maintain HEDIS measure calculations based on NCQA specifications.
Extract, transform, and analyse data from claims, eligibility, EHR, pharmacy, and lab systems.
Support annual HEDIS submissions, including numerator/denominator validation, audit documentation, and data quality checks.
Conduct trending, gap analysis, and performance monitoring for all HEDIS measures.
Generate weekly/monthly dashboards for stakeholder consumption.
Data Engineering & ETL Support
Develop and optimize SQL queries, ETL pipelines, and data transformations.
Collaborate with IT/data engineering teams to improve data quality and resolve inconsistencies.
Create field mappings, data lineage documentation, and technical specifications.
Chart Review / Hybrid Measures
Produce and manage provider retrieve lists for medical record collection.
Validate chart abstraction output for accuracy and completeness.
Support provider outreach related to missing documentation and care gaps.
Cross-Functional Collaboration
Partner with Quality Improvement, Clinical, Provider Relations, and Compliance teams to support initiatives.
Provide guidance on data anomalies, measure interpretation, and technical HEDIS questions.
Present insights and trend analyses to leadership.
Audit & Compliance
Assist with HEDIS Compliance Audit preparation and documentation.
Ensure adherence to NCQA guidelines and regulatory requirements.
Maintain audit trails and detailed reporting artifacts.
Technical Skills
Advanced SQL (required).
Experience working with healthcare payer datasets (claims, eligibility, provider, EMR, pharmacy, lab).
Understanding of healthcare coding standards (ICD-10, CPT, HCPCS, LOINC, NDC).
HEDIS / Healthcare Domain Knowledge
Deep understanding of NCQA HEDIS technical specifications.
Experience with hybrid and administrative measures.
Knowledge of HEDIS audit processes and regulatory timelines.
Familiarity with care gap workflows and quality improvement strategies.
Business Data Analyst
Mountain View, CA jobs
One out of every two small businesses fails within their first five years, most often due to running out of cash. This team is on a mission to make a dent in that statistic by providing small businesses access to the capital they need when they need it-leveraging internal financial and operational data for faster and better decisioning. This way, customers never again have to worry about not making payroll or saying no to a business opportunity. That's how we power prosperity.
This group is a nimble and high-priority start-up environment that is looking to reinvent small business borrowing. It is one of the fastest growing SMB lending businesses in the market. We are looking for top talent and team members who love new challenges, cracking tough problems, and working cross-functionally. If you are looking to join a fast-paced, innovative, and incredibly fun team, then we encourage you to apply.
Duties
We are an exciting, growing, and dynamic team that leverages industry-leading analytics tools, techniques, and best practices. We're looking for a hands-on Business Data Analyst (Contractor) who is a creative problem solver with a passion for delivering advanced, data-driven solutions.
In this role, you will support the rapidly expanding Collections function by:
Collaborating with the Collections Management team to develop new loss mitigation capabilities that enhance customer engagement and optimize solution rates
Building new automation and reporting tools to monitor business processes and recommend improvements
Designing solutions to improve data quality and usability
Applying risk expertise to perform analyses at various aggregation levels and to inform data structure and feature generation decisions
Skills
4+ years of experience with quantitative analysis
Experience in any major dialect of SQL (we use MySQL and PostgreSQL) and Python
Experience with data visualization (we use Tableau for many of our business-facing dashboards, but we won't say no to a ggplot or two)
Solid communication skills with demonstrated ability to explain complex technical issues to both technical and non-technical audiences
Experience with Hadoop, HDFS, Hive, HBase, and/or related MapReduce technologies
Experience with large-scale MPP systems such as Vertica or Redshift
Experience with Tableau or similar BI software
Experience with Python or similar high-level languages; experience with R or similar statistical analysis software
Education
BS or MS in an appropriate quantitative field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Engineering)
Data Migration Analyst
Stamford, CT jobs
Client Delivery Specialist Associate
This role offers the opportunity to contribute directly to our mission by ensuring the accuracy and integrity of our financial data. This person will be a part of a dynamic team focused on innovation and efficiency, working with cutting-edge technology to streamline client onboarding and reporting.
Responsibilities
Lead data conversion projects, including extracting, transforming, and loading (ETL) data between portfolio management systems. This involves understanding source system requirements, mapping data to new system standards, and managing the conversion of large datasets from legacy systems.
Reconcile loaded data in source system against positions, tax lots, and performance.
Integrate historical financial data by converting potentially complex and unstructured data files and statements into structured formats suitable for backfilling.
Provide support for automated data feeds, troubleshooting issues and ensuring the seamless transformation of daily financial transactions and positions into source system imports. This requires a strong understanding of the automated data processing system.
Respond to ad-hoc data requests from client-facing teams, providing timely and accurate information.
Qualifications
5+ years in the financial industry, demonstrating a proven track record of financial product support, technical proficiency, and solid accounting knowledge
Subject matter expert in Orion and Black Diamond
Familiarity with other portfolio management systems, such as Addepar, Advyzon, APX, Axys, Ridgeline, Tamarac
Strong background working with financial custodial data and proficiency supporting alternative financial instruments
Advanced proficiency in Excel and text file manipulation. Familiarity with other data formats, such as JSON, XML, and unstructured-to-structured transformation is a plus
Experience with at least one of the following: Python, SQL, Power Automate or other large data set software, demonstrating the ability to extract and transform data
Demonstrated history of automating data-related processes such as data integration, including log file creation and maintenance
Understanding of Salesforce, Monday.com , Jira, and GitLab
Comfort working with a geographically dispersed team
Strong interpersonal verbal and written communication skills and comfortable communicating with clients as needed
Achievement of, or working towards, an MS/MBA or CFA
Senior Data Analyst
Irving, TX jobs
Immediate need for a talented Senior Data Analyst. This is a 12 months contract opportunity with long-term potential and is located in Irving, TX (Onsite). Please review the job description below and contact me ASAP if you are interested.
Job Diva ID: 25-94653
Pay Range: $60 - $68 /hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
Research, prototype, and build analysis and visualizations for our Machine Learning pipeline.
Stay up to date with emerging technology and learn new technologies/libraries/frameworks
Learn and partner with peers across multiple disciplines, such as computer vision, machine learning, and systems design
Deliver on time with a high bar on quality of research, innovation and engineering
Key Requirements and Technology Experience:
Key Skills; Data Analysis, SQL, Python, Azure, Visualization, Databricks
Strong knowledge of statistical techniques and advanced mathematics.
3 years of data analyst/engineering/science within the Databricks ecosystem (Azure preferred).
5 years of experience demonstrating the use of statistical techniques to analyze, segment and visualize data - specifically around experimental design, KPI calculation, and A/B testing.
4 years of experience in manipulating big data using Python, PySpark, or SQL.
Expert Experience with data visualization tools in Python, Power BI, etc.
Bachelor's Degree or higher in Computer Science/Engineering/Math, or relevant experience.
Master's Degree or higher in Computer Science/Engineering/Math, or relevant experience
Experience working with Machine Learning models - evaluation, observability, and performance monitoring.
Experience working closely with a business team to determine primary KPIs on an ambiguous problem.
Our client is a leading Retail Industry , and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, 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.
By applying to our jobs, you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. 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 here.
Data Analyst Sr
Irving, TX jobs
Strong knowledge of statistical techniques and advanced mathematics.
3+ years of data analyst/engineering/science within the Databricks ecosystem (Azure preferred).
5+ years of experience demonstrating the use of statistical techniques to analyze, segment and visualize data - specifically around experimental design, KPI calculation, and A/B testing.
4+ years of experience in manipulating big data using Python, PySpark, or SQL.
Expert Experience with data visualization tools in Python, PowerBI, etc.
Data Analyst
Deerfield, IL jobs
Our client is currently seeking a Data Analyst
Hybrid to the northern suburbs of Chicago
W2 Only
In this role, you'll evaluate usage, adoption, and performance of IIN systems, identify data mining opportunities, and integrate findings with key performance indicators. You'll collaborate with cross-functional teams to deliver dashboards, reports, and scorecards that inform strategy.
What You'll Do
Analyze usage, adoption, and efficacy of IIN systems.
Identify and execute data mining opportunities.
Integrate insights with traditional KPIs.
Provide analytical support for projects and stakeholders.
Develop and share dashboards, reports, and scorecards.
Ensure data accuracy, format, and availability.
What We're Looking For
Bachelor's degree in Statistics, Data Science, Mathematics, or related field.
Strong analytical skills and ability to interpret complex datasets.
Advanced Excel skills (pivot tables, VLOOKUP, Power Query, visualization).
Expertise in Tableau for dashboard design and optimization.
Hands-on experience with Snowflake and SQL for data warehousing and analysis.
Strong business acumen and ability to align data strategies with goals.
Excellent communication and collaboration skills.
Nice to Have
Experience with KPI reporting and BI tools.
Familiarity with advanced data visualization techniques.
Rate: $65-90/HR
Data Analyst - Statistician
Chicago, IL jobs
We're looking for a data-driven professional to join our team as a Data Analyst - Statistician, responsible for turning complex data into actionable insights that drive business decisions. In this role, you'll evaluate usage, adoption, and efficacy systems, uncover data mining opportunities, and integrate findings with traditional KPIs. You'll also support analytical projects, guide data formatting and availability, and deliver impactful reports, scorecards, and dashboards.
What You'll Do:
Analyze and interpret large datasets to identify trends and opportunities.
Evaluate system performance and effectiveness, integrating insights with KPIs.
Provide analytical support for cross-functional projects.
Design and share reports, dashboards, and scorecards to inform stakeholders.
Collaborate with teams to ensure data accessibility and quality.
Perform additional duties as assigned by your manager.
Core Competencies:
Data Analysis & Interpretation: Ability to transform complex data into actionable insights.
Excel Expertise: Advanced skills in pivot tables, VLOOKUP, Power Query, and data visualization.
Tableau: Skilled in creating interactive dashboards and optimizing performance.
Snowflake: Hands-on experience with data warehousing and efficient SQL queries.
SQL Proficiency: Strong ability to write and optimize queries for data extraction and analysis.
Business Acumen: Align data strategies with organizational goals.
Collaboration & Communication: Work effectively with product owners, engineers, and stakeholders.
Data Analyst with Pyspark & AB Testing
Sunnyvale, CA jobs
In the role of Data Analyst with Pyspark & AB Testing experience, you will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a judicious and tactful blend of Hi-Tech domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to these locations. This position may require travel within the US.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
At least 4 years of experience in Information Technology
Proven years of applied experience in exploratory data analysis, devising, deploying and servicing statistical models
Strong hands-on experience with data mining and data visualization, Tableau, A/B Testing, SQL for developing and creating data pipelines to source and transform Data
Strong experience using Python, Advanced SQL and PySpark
Preferred Qualifications:
Advanced degree with Master's or above in area of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics or a related field
Marketing domain background (Web analytics, click stream data analysis, and other KPI's on marketing campaigns)
Knowledge of Machine Learning techniques
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
EEO/About Us :
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
Business Data Analyst
New York, NY jobs
Iris's client, Financial Domain, is currently searching for a strong Business Data Analyst for a contractual opportunity.
Job title: Business Analyst / Data Analyst
Duration: 3 Months Contract to hire.
Skills: Business Analyst, Data analysis, SQL, etc
:
Key Skills:
Data Analysis using SQL
Understanding of capital market or ETF products
Experience with reference data or index data or market data
Complex SQL queries
Job Description:
Essential Duties and Responsibilities:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
Market Data Analysis: review security and market data to identify and resolve data exceptions and recommend improvements to enhance overall market data quality.
Monitor File Ingestion: Oversee daily ingestion of investment data into portfolio systems and internal databases, ensuring proper loading and troubleshooting issues related to delayed or missing files.
Ensure Data Integrity: Supervise the internal movement of data across VanEck's infrastructure to ensure accurate and timely generation of reports, addressing any discrepancies in the data outputs.
Resolve Data Issues: Investigate and research issues raised through the ticketing system, determine root causes, and collaborate with IT Data Developers to resolve technical problems.
Document Processes: Create and maintain documentation of daily, monthly, and quarterly operational processes and take ownership of tasks and identify opportunities for operational improvements.
Improve Operational Process: Analyze current business processes to identify and implement solutions that improve efficiency, scalability, and reliability, creating streamlined workflows.
Business Analysis: Document data requirements for enhancements and collaborate with IT Data Developers and communicate with business teams across the organization to meet business objectives.
Education:
Bachelor's degree is required with focus on Computer Science, information Science, or equivalent.
3 to 5 years of industry experience working within the technology and data operations of a financial firm.
Knowledge related to financial operation workflows and best practices.
Qualifications:
To perform this job successfully, an individual must exemplify the following qualifications.
Excellent Data Management Skills: Strong knowledge of various data sets, including security master data, pricing data, corporate actions, index levels, holdings, transactions, index constituents, performance data, and security analytics.
Exceptional Analytical Skills: Proficient in SQL to conduct data-driven analysis, review and summarize data, and identify data quality issues to ensure accurate reporting and decision-making.
Proficient Business Analysis: Skilled in gathering business requirements and creating detailed documentation for developers, ensuring the effective translation of business needs into technical specifications.
Understanding of Data Operations: Ability to assess current processes and make recommendations for improvements to streamline workflows, enhance operational efficiency, and ensure high-quality data management.
Strong Communication Skills: Excellent verbal, written, and interpersonal communication skills, with the ability to effectively interact with both technical and non-technical individuals.
Proactive Problem-Solving Ability: Demonstrated ability to take initiative in solving complex problems, driving outcomes in a self-directed manner with minimal supervision.
Technical Skills:
SQL Proficiency is essential for conducting data-driven analysis.
SQL Programming is required for investigation and root-cause analysis.
Microsoft PowerBI experience or equivalent data visualization platforms is preferred.
Snowflake Data Architect
Austin, TX jobs
One of our leading client is looking for Snowflake Data Architect in Austin TX
Require a Solutions Cloud Architect to be part of a team that is responsible for the technical deployments of Snowflake at our customers. The SA will work directly with customers and with customer system integrators to deploy Snowflake.
This person must be a self-starter and used to a fast-paced, fun, energetic environment and comfortable with dealing with ambiguity.
This person should have a broad range of skills and experience ranging from data architecture to ETL, security, performance analysis, analytics, etc.
He/she will have the insight to make the connection between a customer's specific business problems and Snowflake's solution, the customer-facing skills to communicate , build demos , execute proof-of-concepts provide assistance on architecture and implementation.
Competent and result oriented software Architect with strong Snowflake skill.
Thorough knowledge of complete Software Development Lifecycle.
Should be aware of Agile Process and have Good problem-solving abilities.
Should be aware of all phases of project from Conception till implementation.
Should be aware of documentation and should have excellent communication skills.
Should have Experience in Database Programming, SQL Programming (Stored Procedures, Functions, Macro and Triggers) for faster transformations and automation .
Should have Knowledge on Snowflake and should be hands-on.
Possess leadership and managerial qualities with highly developed problem-solving skills with a documented can-do-attitude.
Databases: Snowflake , Teradata , Oracle
Scripts: UNIX , Python
Preferable to have either ETL or Reporting experience
Data Warehouse Architect
Albany, NY jobs
For more details, please connect with Gautmi Jain at ************ or email at *********************
This project is to modernize aging Data Warehouse and Data Analytic systems utilizing new on-premises cloud- and container-based technologies
Required Skills:
84 months experience with a Government Taxation organization, which includes system design, development, maintenance and end user support of Tax & Revenue Accounting Systems and Tax Identification Systems.
84 months experience in design and administration for DB2 LUW on AIX including the use of PureXML and Database Partitioning Feature, traditional DBA tasks of design, tuning, storage management, memory/buffering, backup/recovery and object maintenance. The experience must be on both high-volume transactional systems and analytical systems and involve data purging and roll off, data movement and the shredding natively stored XML data to flattened structures.
84 months of database design and programming experience using Computer Associates IDMS database, programming for an IDMS database using its DMLO language as well as logical design, database navigation, analysis, writing application specifications, testing, documentation.
84 Months experience in administration and support of IBM's InfoSphere Data Replication software to replicate data between databases on DB2 for z/OS and DB2 LUW on AIX (ver 9.5 or higher) including the setup, configuration and maintenance of IBM InfoSphere Data Replication Change Data Capture (CDC), in usage for 24/7 high volume transactional processing databases.
84 months experience with Application performance analysis and tuning
84 months experience with troubleshooting applications on an IBM Mainframe running DB2 z/OS and CICS/MQ
Data Architect
Tampa, FL jobs
Data Architecture & Modeling
Design and maintain enterprise-level logical, conceptual, and physical data models.
Define data standards, naming conventions, metadata structures, and modeling best practices.
Ensure scalability, performance, and alignment of data models with business requirements.
Data Governance & Quality
Implement and enforce data governance principles and policies.
Define data ownership, stewardship, data lineage, and lifecycle management.
Lead initiatives to improve data quality, consistency, and compliance.
Enterprise Data Management
Develop enterprise data strategies, including data integration, master data management (MDM), and reference data frameworks.
Define and oversee the enterprise data architecture blueprint.
Ensure alignment between business vision and data technology roadmaps.
Cloud Data Architect
McLean, VA jobs
Purpose:
As a Cloud Data Architect, you'll be at the forefront of innovation - guiding clients and teams through the design and implementation of cutting-edge solutions using Databricks, modern data platforms, and cloud-native technologies. In this role, you won't just architect solutions -you'll help grow a thriving Analytics & Data Management practice, act as a trusted Databricks SME, and bring a business-first mindset to every challenge. You'll have the opportunity to lead delivery efforts, build transformative data solutions, and cultivate strategic relationships with Fortune-500 organizations.
Key Result Areas and Activities:
Architect and deliver scalable, cloud-native data solutions across various industries.
Lead data strategy workshops and AI/ML readiness assessments.
Develop solution blueprints leveraging Databricks (Lakehouse, Delta Lake, MLflow, Unity Catalog).
Conduct architecture reviews and build proof-of-concept (PoC) prototypes on platforms like Databricks, AWS, Azure, and Snowflake.
Engage with stakeholders to define and align future-state data strategies with business outcomes.
Mentor and lead data engineering and architecture teams.
Drive innovation and thought leadership across client engagements and internal practice areas.
Promote FinOps practices, ensuring cost optimization within multi-cloud deployments.
Support client relationship management and engagement expansion through consulting excellence.
Roles & Responsibilities
Essential Skills:
10+ years of experience designing and delivering scalable data architecture and solutions.
5+ years in consulting, with demonstrated client-facing leadership.
Expertise in Databricks ecosystem including Delta Lake, Lakehouse, Unity Catalog, and MLflow.
Strong hands-on knowledge of cloud platforms (Azure, AWS, Databricks, and Snowflake).
Proficiency in Spark and Python for data engineering and processing tasks.
Solid grasp of enterprise data architecture frameworks such as TOGAF and DAMA.
Demonstrated ability to lead and mentor teams, manage multiple projects, and drive delivery excellence.
Excellent communication skills with proven ability to consult and influence executive stakeholders.
Desirable Skills
Recognized thought leadership in emerging data and AI technologies.
Experience with FinOps in multi-cloud environments, particularly with Databricks and AWS cost optimization.
Familiarity with data governance and data quality best practices at the enterprise level.
Knowledge of DevOps and MLOps pipelines in cloud environments.
Qualifications:
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related fields.
Professional certifications in Databricks, AWS, Azure, or Snowflake preferred.
TOGAF, DAMA, or other architecture framework certifications are a plus.
Qualities:
Self-motivated and focused on delivering outcomes for a fast growing team and firm
Able to communicate persuasively through speaking, writing, and client presentations
Able to consult, write, and present persuasively
Able to work in a self-organized and cross-functional team
Able to iterate based on new information, peer reviews, and feedback
Able to work with teams and clients in different time zones
Research focused mindset
"Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."
Senior Data Scientist
McLean, VA jobs
Purpose:
As a Data Scientist, you will play a key role in delivering impactful, data-driven solutions for our strategic enterprise clients. This role also offers the opportunity to shape and grow Infocepts' Data Science & AI practice, contributing to high-impact AI/ML initiatives, crafting data-driven narratives for stakeholders, and applying advanced techniques to solve complex business problems from strategy to execution.
Key Result Areas and Activities:
Design, build, and deploy AI/ML solutions using modern cloud and data platforms.
Lead data science projects across industries, ensuring alignment with business goals.
Apply supervised, unsupervised, deep learning, and Generative AI (e.g., LLMs, agentic workflows) techniques to address client use cases.
Collaborate with data engineering teams to optimize model pipelines using Delta Lake and Spark.
Communicate findings effectively through data visualizations and stakeholder presentations.
Drive adoption of MLOps practices for scalable and reliable model deployment.
Contribute to the evolution of Infocepts' Data Science & AI offerings through innovation and knowledge sharing.
Roles & Responsibilities
Essential Skills
5+ years of experience in applied AI and machine/deep learning.
Hands-on experience with Databricks, MLflow, PySpark, and Spark MLlib.
Proficiency in Python and SQL for model development and data manipulation.
Strong understanding of supervised and unsupervised learning, deep learning, and Generative AI.
Familiarity with cloud platforms: AWS, Azure, and GCP.
Solid foundation in advanced statistical methods and probabilistic analysis.
Ability to lead end-to-end AI/ML projects, including design, development, and stakeholder management.
Experience with visualization tools like Tableau, Power BI, or similar.
Familiarity with ML workflow orchestration and MLOps practices.
Desirable Skills
Experience with LLMs (Large Language Models) and agentic AI workflows.
Familiarity with modern data platforms like Snowflake.
Exposure to real-time data processing in cloud-native environments.
Contributions to open-source AI projects or publications in data science communities.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
Certifications in cloud platforms (AWS, Azure, GCP) or Databricks are a plus.
Qualities:
Able to consult, write, and present persuasively
Able to work in a self-organized and cross-functional team
Able to iterate based on new information, peer reviews, and feedback
Able to work seamlessly with clients across multiple geographies
Research focused mindset
Excellent analytical, presentation, reporting, documentation and interactive skills
"Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."
Data Architect - W2 only
Fort Mill, SC jobs
NOTE:- Due to client compliance requirements, we are unable to engage on C2C or 1099. Candidates must be authorized to work on a W2 basis only
Data Architect
Duration:- Contract - 12 Months
Overview:
Our Financial is seeking an experienced Data Architect to support the design, development, and modernization of enterprise data platforms. The ideal candidate will have strong expertise in cloud data ecosystems (Azure preferred), data modeling, and data governance, along with financial services domain experience.
Key Responsibilities:
Design and implement scalable, secure data architectures (on-prem & cloud).
Define and enforce data strategy, standards, and governance frameworks.
Build and maintain enterprise data models and integration pipelines.
Provide architectural oversight for data lake, MDM, and analytics initiatives.
Ensure compliance with data security and regulatory requirements.
Qualifications:
10+ years in data architecture and engineering.
Expertise in Azure, SQL Server, Synapse, and Databricks.
Strong experience with data modeling, ETL/ELT, and governance.
Financial services experience preferred.
Please review the role and let me know if you have someone in your network who would be a strong fit or if you'd like to discuss how we can prioritize this search.
Oracle PTP Analyst
Houston, TX jobs
GlobalSource IT is working with a direct end client that is looking to fill an Oracle PTP Analyst position for their growing team. They're located in Houston, TX and prefer someone local to be onsite occasionally. Ideally contract or contract to direct hire.
Oracle P2P Supply Chain Analyst with 6+ Oracle Fusion Expense, Payables, and Procurement modules.
Key responsibilities include conceptualizing designs, implementing solutions for complex systems/processes independently, and working closely with internal and external parties to gather business requirements.
Excel in documenting system builds and application configurations, providing production system support, and resolving issues promptly.
Knowledge of Oracle Business Network.
Conducts Functional Design Workshop.
If interested in discussing, please share a copy of your resume along with a day/time to talk to ***********************
Data Architect
Saint Louis, MO jobs
Data Engineering Lead/Architect
Contract-to-Hire
Banking Experience is highly preferred
Ideal Candidate: Experienced in a banking data modernization effort previously and can help lead/mentor the data engineering team. This individual needs to have a good solutioning/creative mindset and be willing to speak up.
Data Engineering Lead/Solution Architect
The ideal candidate will have a deep understanding of Microsoft data services, including Azure Fabric, Azure Data Factory (ADF), Azure Synapse, and ETL/ELT processes. This role focuses on designing, developing, and maintaining cloud-based data pipelines and solutions to drive our analytics and business intelligence capabilities.
Key Responsibilities:
Provide technical leadership in modernizing legacy data ingestion, ETL/ELT, and databases to cloud technologies (AWS/Azure).
Demonstrate a self-driven, ownership mindset to navigate ambiguity, resolve constraints, and mitigate risks with minimal supervision.
Implement data access, classification, and security patterns that comply with regulatory standards (PII, locational data, contractual obligations, etc.).
Build strong relationships with technical teams through effective communication, presentation, and collaboration skills.
Collaborate with stakeholders, business analysts, and SMEs to translate business requirements into scalable solutions.
Integrate data from multiple sources into cloud-based architectures, collaborating with cross-functional teams.
Work closely with data scientists, analysts, and stakeholders to meet data requirements with high-quality solutions.
Function within a matrixed team environment, sharing responsibilities across various teams.
Perform data profiling and analysis on both structured and unstructured data.
Design and map ETL/ELT pipelines for new or modified data streams, ensuring integration into on-prem or cloud-based data storage.
Automate, validate and maintain ETL/ELT processes using technologies such as Databricks, ADF, SSIS, Spark, Python, and Scala.
Proactively identify design, scope, or development issues and provide recommendations for improvement.
Conduct unit, system, and integration testing for ETL/ELT solutions, ensuring defects are resolved.
Create detailed documentation for data processes, architectures, and workflows.
Monitor and optimize the performance of data pipelines and databases.
Required Skills and Qualifications:
experience in designing and implementing data warehouse and analytics solutions (on-premise and cloud).
expertise in data warehousing concepts (ETL/ELT, data quality management, privacy/security, MDM) with hands-on experience using ADF, Data Factory, SSIS, and related tools.
experience with cloud data and cloud-native data lakes/warehouses. Microsoft Azure services (Fabric Lakehouse, ADF, Data Factory, Synapse, etc.).
experience in Python, Scala, or Java for use with distributed processing and analytics, such as Spark.
Familiarity with CI/CD practices and tools such as Azure DevOps, Git, or Jenkins.
Soft Skills:
Proven ability to mentor team members and guide best practices for data engineering.
Strong problem-solving skills with high attention to detail.
Excellent communication skills for effective collaboration with diverse teams.
Nice to Have:
Experience with Snowflake, Databricks, AWS
Experience with containerization, microservices, streaming, and event-sourcing architecture patterns.
Knowledge of Kafka, Eventstream, architectures.
Experience with Microsoft Purview
Previous experience in the financial or banking sector.
Familiarity with machine learning concepts and frameworks.
Experience with reporting tools such as Power BI or Tableau.
Education:
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).