UNKNOWN

FEED

Pipeline Engineering: Design, build, and optimize ETL (Extract, Transform, Load) processes and data pipelines to ensure smooth and efficient data flow from various sources. Analytics Queries, Distributed database queries) and experience working with massive parallel processing (MPP) databases (e.g., Redshift, BigQuery, Snowflake).

YEAR

Omada Health

Senior Software Engineer, Data Engineering

GreenHouseAPI

Skills required: Must have experience with: Designed and implemented applications with Apache Spark; Frameworks used in Hadoop Ecosystem Components (Hadoop, HDFS, YARN, TEZ, MapReduce); Building Scripts using Unix Shell Script; Scheduled productions jobs using Apache Airflow and Oozie; Cloud Technologies (Google Cloud Platform) to execute the applications using clusters and data management; Writing Hive applications with HIVE query language; Deployment Tools (Maven and SBT); Implementing CI/CD pipelines using Jenkins and using Git for Source control management; Agile methodologies to follow up on day-to-day tasks in each sprint regards to story pointers (JIRA/Scrum); Project Management activities (initiation, planning, execution, monitoring and control, and closure); and Participated in requirements gathering from multiple teams for Project increment planning. Analyzes complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models; develops logical and physical data models including data warehouse and data mart designs; defines relational tables, primary and foreign keys, and stored procedures to create data model structures; evaluates existing data models and physical databases for variances and discrepancies; develops efficient data flows; analyzes data-related system integration challenges and proposes appropriate solutions; creates training documentation and trains end users on data modeling; and oversees the tasks of less experienced programmers while stipulating system troubleshooting supports.

Walmart Inc

Senior Data Engineer

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Engage with clients to discover data sources and create data requests; Engage in data discovery and ETL/ELT processes to ingest structured data and annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal / external documents, financial data, operational data). If youre looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG International Cooperative

Lead Specialist, Federal Data Architect

Experienced in Technologies like E-R Modeling for OLTP OLAP Multi-Dimensional Data Modeling techniques like Star Schema Modeling, Cube-processing, Snow-flake Dimension modeling, Fact and Dimension Modeling using Erwin Tool. Lead Data Architect needs 7+ years experience in Data Modeling, Data Reporting, Analysis, Mining, Design, Development, Data Migration, Implementation and Testing of Database.

Global Channel Management

Lead Data Architect

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ADAPTED_NOW

The Lead Data Architect works closely with data domain owners, Data Engineers, Analytics teams, and business stakeholders to build and evolve scalable, well-governed data products on the organization’s Databricks-based platform, leveraging a custom automation framework and modern lakehouse patterns to drive domain-oriented, self-serve data capabilities. • Design and extend the organization’s custom automation framework on Databricks, leveraging latest platform components (Unity Catalog, Delta Live Tables, Databricks Workflows, Databricks Asset Bundles) to accelerate data product delivery.

Aviation professionals from around the world trust FlightSafety International to provide the highest quality training and outstanding service. Our professional instructors deliver aircraft- and mission-specific courses, using our comprehensive training systems and advanced- technology flight simulators designed to enhance safety. Trust your training to FlightSafety.

FlightSafety International

Data Architect, Lead (Columbus, OH, US, 43219)

Data Architect, Lead

Flight Safety International

Experience in design and development across one or more database management systems (e.g., HBase, Hive, GCP tools, NoSQL, BigTable, BigQuery, Spanner, IMS, DB2 zOS, Oracle, MS SQL Server, PostgreSQL, Netezza (PDA/DB2AA) as appropriate. The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience.

American Express Co

Data Engineer III

Duties and responsibilities include, but are not limited to: - Exhibit a degree of ingenuity, creativity, proactiveness, and resourcefulness when collecting, processing, and making data available for analysis while working within an agile environment - - Collaborate across Business Transformation to strategize and implement common business processes and systems design for Data Warehouse & Analytics - Work through all stages of data pipeline to discover, analyze, model, digest, clean, curate, secure, aggregate, and catalog unorganized & organized data at scale and at speed - Develop solutions across data fabric for interoperability between current and emerging technologies in alignment with Space and Enterprise reference architectures. GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States.

Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company that employs approximately 125,000 people worldwide and is principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.
	Our Mission:&nbsp; We solve complex challenges, advance scientific discovery and deliver innovative solutions to help our customers keep people safe and provide them essential services. 
	
	Our Vision:&nbsp;Be the global leader in supporting our customers to strengthen global security, deliver citizen services and advance scientific discovery.
	Our Values:
	
	<li style="margin: 0px 0px 0px 15px;">Do What's Right</li>
	<li style="margin: 0px 0px 0px 15px;">Respect Others</li>
	<li style="margin: 0px 0px 0px 15px;">Perform With Excellence</li>

Lockheed Martin Corp

Data Engineer Sr

Hands-on experience leading complex integration initiatives, ETL/ELT design (AWS Glue, Talend, Azure Data Factory, Fivetran, dbt), API-driven integration (async/sync, webhook/callback, event-driven, bulk), event streaming (Kafka, Kinesis, Event Hub), and real-time data distribution in large business data environments. Experience managing architectural vision against delivery goals, in alignment with business capability models; leading architecture workshops; managing decision logs; producing enterprise-level architectural diagrams and architecture artifacts (reference architectures, domain models, integration patterns); and delivering executive-level communications in the form of transformation roadmaps, sequencing plans, and dependency maps.

Alpha Financial Markets Consulting Group Ltd

Enterprise Architect - Data Management

Proficiency with modern data platforms and architectural patterns including lakehouse , data warehouse, data mesh, streaming architectures, and multi-cloud ecosystems (AWS, Azure, GCP). This role combines hands-on architectural expertise with team leadership, oversight of data modeling and integration patterns, and cross-functional coordination with engineering, analytics, AI, and product teams.

Steampunk

Enterprise Data Architect

[AW]-iCims

This role complements the existing SW & Data Architect positions by providing dedicated depth on data modeling, aviation exchange formats, master data management, and data integration engineering - freeing the SW & Data Architects to focus on software, cloud, and pipeline architecture. Design analytical data architecture - data lake / lakehouse patterns, warehouse structures, curated data products - supporting the Digital Command Center and Knowledge Base Expansion.

Peraton Inc

The person in this role will lead a team of data architects and modelers while partnering with engineering, analytics, governance, platform, and business teams to deliver scalable, reusable, and business-ready data solutions. Modern data platform expertise across cloud data platforms such as Azure, Snowflake, Databricks, data lakes, data warehouses, or lakehouse architectures.

Circle K Stores

Senior Manager Data Architecture

Senior Data Analyst Wealth Management Practice | Data Engineering & Analytics DOMAIN Wealth Management TECHNICAL CORE Advanced SQL / STTM CLOUD ENV MS Azure (Preferred) EXPERIENCE 5+ Years Senior Level Key Objective: We are seeking a highly analytical Senior Data Analyst to lead data discovery, quality profiling, and Source-to-Target Mapping (STTM) for enterprise wealth management data platforms. Core Skills & Competencies Advanced SQL Source-to-Target Mapping (STTM) Wealth Management Domain Jira / Azure DevOps Data Lineage Confidential - Wealth Management Practice Data Profiling & Quality MS Azure Cloud Data Pipeline Specification Developer Communication Relational Modeling Page 2 of 2.

BB Insights

Data Analyst

Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, Artificial Intelligence Specialist, Statistician, Predictive Modeler, Research Scientist, Quantitative Analyst, Big Data Specialist, etc. Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information Technology, etc.

Cymertek

Data Scientist

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The position requires the person to: Lead the design, development, validation, and deployment of statistical and machine learning models that address complex business needs and comply with regulatory requirements. An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc.

Auto-Owners Insurance Company

Experienced Data Scientist

An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc. The position requires the person to: Use statistical and machine learning techniques to build models that address business needs and comply with regulatory requirements.

Information Data System Analyst duties: Lead the design and provide oversight of the End to End Data Flow and engagements with Business and Tech groups for the Finance and Actuarial Organization. Identify Data Quality, business process gaps and improvement opportunities using data to build business value propositions and business cases.

Information Data System Analyst

You'll work closely with our AI engineering and data science teams to design, test, and evaluate LLM-based systems that turn loosely structured inputs into reliable, working Pigment models and formulas. Turn amorphous inputs (long PDFs, call transcripts, existing applications, templates) into structured Pigment applications: write the tests first, then iterate on a DSL representation until they pass.

Pigment

Data Scientist Internship

This role combines deep technical leadership with people management: you will define the technical direction across an applied ML stack, foster the growth and well-being of a highly specialized team, and transform a research-driven roadmap into reliable, production-ready systems. Your team will be responsible for advancing the trust graph, compounding intelligence, communication experiences, fraud detection, federated learning, calling, search, and the AI Assistant, technologies that sit at the core of Truecaller's strategy.

Truecaller

Engineering Manager - Data

Nice to have: B2B go-to-market data (CRM, marketing automation, intent, ABM or predictive scoring); lead or contact scoring models; model explainability methods such as feature importance or SHAP; Spark, SingleStore or Hive on AWS; LLM-based tools, agents or evaluation methods. Required: 6-8 years building and deploying machine learning models in production, ideally ranking, propensity, classification or scoring models on tabular or behavioral data.

Data Modeler Jobs in the United States

Senior Software Engineer, Data Engineering Omada Health

Senior Data Engineer Walmart Inc

Lead Specialist, Federal Data Architect KPMG International Cooperative

Lead Data Architect Global Channel Management

Data Architect, Lead (Columbus, OH, US, 43219) FlightSafety International

Data Architect, Lead FlightSafety International

Data Engineer III American Express Co

Data Engineer Sr Lockheed Martin Corp

Enterprise Architect - Data Management Alpha Financial Markets Consulting Group Ltd

Enterprise Data Architect Steampunk

Enterprise Data Architect Peraton Inc

Senior Manager Data Architecture Circle K Stores

Data Analyst BB Insights

Data Scientist Cymertek

Experienced Data Scientist Auto-Owners Insurance Company

Data Scientist Auto-Owners Insurance Company

Information Data System Analyst Global Channel Management

Data Scientist Internship Pigment

Engineering Manager - Data Truecaller

Sr. Data Scientist, Forward-Deployed 6Sense Insights Inc

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