Data Modeling

Data Modeling Engineer Jobs

93 jobs found

Today

Staff Data Engineer

Okta Chicago, IL

Chicago, IL

Today

$174k - $239k/yr Full time Senior Apache Airflow Cloud

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Job Description

Benefits and Culture

Well being and health support for employees, prioritizing balance and flexibility
Meaningful opportunities to drive social impact through technical work
Focus on developing talent and building strong, connected teams across the organization

Location: Chicago, IL, hybrid work arrangement. Compensation: USD 174,000 - 238,700 per year.

Responsibilities

Spearhead the architectural evolution of the data platform, defining the roadmap for its future state
Shape and guide a technical strategy for large scale platform improvements, balancing long term goals with incremental delivery
Collaborate with engineers and leaders across data, platform, and security teams to forge a unified, secure architecture
Produce architectural artifacts such as design documents, threat models, and technical specifications to align stakeholders on complex initiatives
Serve as a technical mentor to the Data Engineering team, elevating performance through guidance, code reviews, and sharing best practices
Build foundational components of the new architecture by hands-on coding to model patterns others can follow

Requirements

Commitment to building secure, reliable, and scalable data systems
8+ years in software development, with at least 5+ years in data engineering or data platform roles
Proven track record delivering large-scale, cross-functional technical programs
Extensive experience designing and deploying data infrastructure in a cloud environment, with AWS strongly preferred
In-depth knowledge of the modern data stack including Snowflake, dbt, and Airflow
Strong proficiency in Python and SQL, with emphasis on code quality and system design
Excellent communication skills enabling clarity and informed decisions on complex technical topics
Ability to navigate ambiguity, chart a path forward, and lead others to successful outcomes

Technologies

Snowflake
dbt
Airflow
Python
SQL
AWS
Terraform
Kubernetes

About the Auth0 Data Engineering Team

Pipeline team focuses on efficient data ingestion and rapid access to unmodeled data, operating near the Platform team and data producers
Warehouse team models data in the data warehouse to simplify analysis for data consumers, supporting business teams and decision-making
Interface team builds and manages connections between the data platform and external systems, ensuring consistent, reliable data access

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2d ago

Lead Data Engineer

Daley and Associates Boston, MA

Boston, MA

2d ago

Full time Cloud Cloud Platform Data

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Job Description

Daley and Associates seeks a Lead Data Engineer to specialize in data integration, dbt driven data modeling in Snowflake, and end to end data pipelines for investment data. This on site role in Boston, MA requires three days per week on site, supporting the Investment Data Management Office.

Responsibilities

Design, develop, and maintain dbt data models in Snowflake, implementing business logic and ensuring alignment with the established data architecture and standards.
Lead and contribute to dbt projects, ensuring high quality code, thorough documentation, and adherence to modular, scalable design patterns.
Architect, construct, and manage scalable data pipelines and a robust data warehouse to support reporting, analytics, and operational use cases.
Lead and participate in development activities; design and implement solutions that address business requirements aligned with program objectives.
Pursue ongoing enhancements of data quality, resilience, governance, efficiency, and monitoring capabilities.
Diagnose and resolve complex system interactions to identify root causes of issues.
Collaborate with the platform lead to design, develop, implement, and deploy new software components for the investment data platform.
Work with the data architect to evaluate and finalize the unified data model.
Coordinate with the integration architect to upgrade and integrate ingestion and delivery tools with the unified data platform.
Upgrade and integrate transformation, data validation, and orchestration tools with the unified data platform to enable data engineering, analytics engineering, and ongoing data maintenance capabilities.
Provide on call support during unexpected outages.

Requirements

Bachelor’s degree in Computer Science or a related discipline.
5 to 6 plus years of experience designing, developing, and delivering data oriented complex applications.
Minimum of 2 to 4 years of hands on experience progressing from SQL to Advanced SQL.
Experience developing and maintaining data models in dbt (Data Build Tool).
Experience in data integration (ETL/ELT), data warehouse, data analytics architecture, and a solid understanding of design principles; familiarity with Snowflake and other cloud native databases is highly preferred.
Development experience on cloud based PAAS platforms such as Microsoft Azure, Google GCP or Amazon AWS.
Strong understanding of Agile SDLC, DevOps, and Cloud technologies, with exposure to multiple technologies, platforms, and processing environments.
Knowledge of architectures and patterns such as unified data management (UDM), data mesh, event driven architecture, real time data flows, non relational repositories, and data virtualization.
Experience building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions is desired.
Strong interpersonal and communication skills with the ability to lead cross team collaboration and partnerships across a variety of internal and external constituencies.

Technologies

dbt (Data Build Tool)
Snowflake
Microsoft Azure
Google Cloud Platform
Amazon Web Services

What We Are Looking For

Bachelor’s degree in Computer Science or related disciplines.
About five to six years of experience designing, developing, and delivering data oriented complex applications.
At least two to four years of hands on SQL experience, including advanced SQL techniques.
Experience in developing and maintaining dbt data models.
Background in ETL/ELT data integration, data warehousing, and analytics architecture; familiarity with Snowflake and other cloud native databases is highly preferred.
Development experience on cloud PAAS platforms such as Azure, AWS, or Google Cloud.
Strong grasp of Agile SDLC, DevOps, and cloud technologies, with exposure to diverse tech stacks and environments.
Knowledge of architectures like UDM, data mesh, event-driven patterns, real-time data flows, NoSQL stores, and data virtualization.
Experience delivering solutions in the financial services domain with an understanding of instruments, transactions, and positions is a plus.
Excellent collaboration and communication skills to coordinate with multiple internal and external stakeholders.

Preferred Qualifications

Experience within the asset management industry and investment data domain, with exposure to multi asset investment platforms and related data ecosystems.
Understanding of asset management concepts and knowledge of various financial instruments and products, including traditional and alternative asset classes.
Industry certifications in Snowflake, dbt, cloud data engineering platforms, data warehousing technologies, or financial markets and operations are highly valued.
Demonstrated interest in emerging AI technologies and an understanding of how AI driven tools can improve engineering processes, data quality, operational efficiency, and analytics workflows.
Familiarity with leveraging AI assisted development, automation, or data engineering best practices to enhance productivity and continuous improvement initiatives is a plus.

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2d ago

Data Architect / Principal Data Engineer III

Hudson Manpower Cincinnati, OH

Cincinnati, OH

2d ago

$55 - $60/hr Full time Senior Cloud Cloud Platform

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Job Description

Onsite in Cincinnati, OH, this Data Architect / Principal Data Engineer III role focuses on designing scalable data solutions for a banking environment, leveraging DBT, Snowflake, and SQL. Compensation is USD 55 - 60 per hour.

Responsibilities

Design, develop, and support data solutions, APIs, tools, and processes to enable rapid delivery of business capabilities.
Collaborate with IT application teams, Enterprise Architecture, infrastructure, information security, and lines of business to translate strategies into data driven solutions for the bank.
Serve as a technical expert addressing challenges in system and application design, performance, integration, and security.
Research and develop using current trends in banking, data engineering and architecture, and data security.
Partner with developers to build CI/CD pipelines, self service build tools, and automated deployment processes.
Evaluate software products and provide documented recommendations as needed.
Provide support and troubleshooting for data platforms, including escalated on call assistance for complex incidents.
Participate in hardware and software planning processes.
Lead internal projects as needed, such as legacy system replacement, monitoring and analytics improvements, tool development, and technical documentation.
Provide technical guidance and mentoring for team members.
Manage and prioritize multiple assignments.

Requirements

Bachelor's degree in Computer Science, Information Systems, or an equivalent combination of education and experience.
Strong verbal and written communication skills to engage management, sponsors, business and IT teams, and technical resources.
Seven or more years of IT experience relevant to the position.
Working knowledge of application and data security concepts, best practices, and common vulnerabilities.
Experience in one or more of the following areas preferred: big data technologies, metadata management, commercial ETL tools, BI and reporting tools, messaging systems, data warehousing, Java, major version control systems, CI/CD tools, infrastructure automation/virtualization, major cloud platforms, or REST API design and development.
Experience collaborating with offshore teams is desirable.
Financial industry experience is a plus.

Technologies

DBT
Snowflake
SQL
Java

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Referral bonuses

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4d ago

Data Engineer – Power BI

Intone Networks Remote 🌍 Remote

Remote

4d ago

Full time Analytics Business Analytics Business Intelligence

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Job Description

Intone Networks offers a remote Data Engineer role focused on Power BI development and data modeling. You will design and optimize dashboards and data models, tune performance, and implement row-level security, collaborating with business stakeholders to translate requirements into actionable analytics. This position is remote and requires 8 to 10 years of hands-on Power BI experience.

Responsibilities

Design, develop, and maintain advanced Power BI reports and dashboards.
Build and optimize complex data models using star and snowflake schemas.
Develop efficient DAX measures, calculated columns, and Power Query (M) transformations.
Collaborate with business stakeholders to gather requirements and deliver analytical solutions.
Optimize report performance and implement row-level security (RLS).

Requirements

8–10 years of experience in Power BI development and data modeling.
Strong expertise in Power BI Desktop, Power BI Service, DAX, Power Query (M), and Data Modeling.
Hands-on experience with SQL and relational databases.
Strong understanding of dimensional modeling (Star Schema/Snowflake Schema).
Experience in performance tuning, report optimization, and Row-Level Security (RLS).
Good analytical, problem-solving, and communication skills.

Technologies

Power BI Desktop
Power BI Service
DAX
Power Query (M)
SQL
Relational databases
Star Schema
Snowflake Schema

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4d ago

Supply Chain Data Engineer

NVIDIA Santa Clara, CA

Santa Clara, CA

4d ago

$152k - $288k/yr Full time Apache Airflow Automation Big Data

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Job Description

Join NVIDIA in Santa Clara as a hands-on Supply Chain Data Engineer. This onsite role offers a competitive compensation range of USD 152,000 – 287,500 per year plus equity, and the opportunity to shape planning decisions at the intersection of forecasting and procurement. You will report to executive leadership and collaborate with modeling, procurement, operations, and IT teams to turn data into strategic action. Expect a role that values practical data engineering, strong data governance, and cross-functional partnership in a fast-paced, high-impact environment.

Benefits

Equity

Responsibilities

Design, implement, and scale automated data pipelines using SQL and Python to extract, transform, and load large supply chain datasets from internal and external systems.
Guard data quality as the primary custodian by building automated validation scripts to catch anomalies, missing inputs, and historical mismatches before data enters planning frameworks.
Develop and improve automated pipelines feeding downstream machine learning and AI models, ensuring data is clean, low-latency, and ready for advanced computation.
Architect and maintain highly optimized data tables, views, and schemas tailored for rapid querying by unified computational systems.
Collaborate to deconstruct legacy, decentralized planning workflows and migrate them to automated, centralized data environments that link forecasting to procurement.
Work cross-functionally with engineering, global procurement, operations, and IT to uncover hidden data sources and standardize core supply chain metrics.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Industrial Engineering, Operations Research, or equivalent experience.
Expert data engineering skills with mastery of SQL and Python, including data manipulation with Pandas.
7+ years of data pipeline experience, with a proven track record of building and operating automated ETL/ELT pipelines in production.
Deep experience with relational databases, data warehouses (Snowflake, BigQuery), or large ERP systems (SAP or Oracle).
Extreme attention to detail and a strong focus on data integrity; you proactively identify and fix issues in large datasets.
High autonomy and comfort starting from loose guidelines to deliver robust, production-ready data pipelines from scratch.

Technologies

SQL
Python
Pandas
Snowflake
BigQuery
SAP
Oracle
Apache Airflow
dbt
AWS
Azure
GCP
MATLAB

Ways to stand out from the crowd

Prior experience building data infrastructure within the semiconductor, electronics, or large-scale technology hardware supply chains.
Background with mathematical modeling environments, advanced computation engines, or algorithmic simulation software such as MATLAB or advanced Python packages.
Familiarity with workflow orchestration tools like Apache Airflow or dbt, or infrastructure used to support Machine Learning pipelines (DataOps).
Experience cloud-architecting supply chain master data on AWS, Azure, or GCP.

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5d ago

Data Engineer Senior - Level 3

Lockheed Martin Corporation Fort Worth, TX

Fort Worth, TX

5d ago

Full time Senior Analytics Big Data

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Job Description

Senior Data Engineer - Level 3 for Lockheed Martin Aeronautics in Fort Worth, TX, with a hybrid work arrangement. This role focuses on transforming data into mission-critical insights and delivering data products and models to support spares, repairs, and long-term sustainment decisions for the IFG Sustainment Program.

Responsibilities

Scope and consolidate data from diverse internal and external sources to support spares modeling and performance metrics.
Analyze data and apply logical methods to develop supply chain models that guide strategic decision-making.
Collaborate closely with the F-22 Sustainment Program Office (SPO) and key stakeholders to align data initiatives with fleet performance goals.
Deliver both repeatable and ad hoc reports to senior leadership, offering insights that drive tangible results.
Champion performance-based supply analysis and visualization efforts to optimize operations and reduce costs.
Partner across engineering, logistics, and analytics teams to ensure data accuracy, consistency, and relevance.

Requirements

Experience with Databricks, SAP HANA, Oracle, or SQL Server, including relational database principles and SQL variants (SQLScript, PL/SQL, Transact-SQL) in support of Procedures, Functions, and Views; familiarity with ETL and data warehousing principles.
Experience with Tableau, IBM Cognos, or other data visualization tools.
Experience with data mining and cleansing, recognizing and correcting errors/discrepancies and ensuring data accuracy, consistency, and completeness.
Experience with problem solving and troubleshooting/resolving complex technical issues.

Technologies

Databricks
SAP HANA
Oracle
SQL Server
SQL
SQLScript
PL/SQL
Transact-SQL
Tableau
IBM Cognos
Python
VBA
GOLD
SAP (ERP)
PRIDE

Benefits

Flexible schedules, dependent on role
Competitive pay
Comprehensive benefits
Part-time Remote Telework

Security Clearance

This position requires a government security clearance, you must be a US Citizen for consideration.

Clearance Level

Secret

Location

Fort Worth, TX (hybrid)

Other Important Information You Should Know

Location: This position is in Fort Worth, TX.
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. If a match is identified, you may be contacted for these openings.
Ability to Work Remotely: Part-time Remote Telework. The employee selected for this position will work part of their schedule remotely and part of their 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. Schedules range from standard 40 hours over a five-day work week to condensed schedules that provide additional time away from the office.
Schedule for this Position: 4x10 hour day, 3 days off per week.
Equality: Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
Application Window: The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date to receive optimal consideration.

Experience Level

Experienced Professional

Business Unit

AERONAUTICS COMPANY

Career Area

Logistics

Type

Full-Time

Shift

First

Relocation Available

Possible

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5d ago

Staff Data Engineer

Dexcom Remote 🌍 Remote

Remote

5d ago

$129k - $214k/yr Full time Analytics Artificial Intelligence Business Analytics

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Job Description

Dexcom is seeking a Staff Data Engineer who will design, implement, and maintain SQL-based data systems that support manufacturing operations. This remote role focuses on optimizing data platforms across MS SQL Server and Google Cloud Platform, collaborating with multiple teams to deliver near real-time data solutions.

Responsibilities

Architect, develop, and sustain SQL database systems to support manufacturing operations.
Tune and monitor MS SQL Server databases, ETL/ELT pipelines, CDC, replication, and GCP BigQuery DBT data models, along with Iceberg archival to ensure high performance and data availability.
Advance data modernization initiatives by promoting database best practices and adopting cutting-edge technologies including AI and MCP.
Develop and maintain monitoring tools and processes to proactively identify and address database issues.
Implement ETL/ELT processes, data warehousing, and replication solutions to provide near real-time data access globally for efficient storage and retrieval.
Collaborate with cross-functional teams to gather requirements, design systems, and implement database solutions such as stored procedures, table and schema designs, data contracts for APIs, and a data dictionary to support manufacturing software systems.
Work with Microsoft SQL Server and GCP stacks, including SSIS, SSRS, Power BI, PolyBase, BigQuery, Datastream, Cloud Storage, BigLake tables for Apache Iceberg, Cloud SQL, and DBT.
Coordinate with R&D, Operations, Process Engineering, Quality Assurance, Contract Manufacturers, and other stakeholders to enable data access for reporting and data integration.
Collaborate with the IT security team to maintain PKI hardware security modules (HSM) for key management and cryptographic operations, assisting in configuration, installation, and ongoing maintenance of PKI HSMs to ensure secure operation.
Document solutions and provide training to DBA teams on common issues and best practices.

Requirements

Ability to prioritize and execute tasks in a high-pressure environment.
Detail oriented with the capability to maintain updated documentation.
Working knowledge of data management and related tools such as Jira, Jama, and Confluence.
Strong English written and spoken communication skills.
Creative problem solver with attention to detail.
Minimum 5 years of experience with Microsoft SQL Server, fluent in SQL Server 2012 or newer.
Some DBA experience or familiarity with DBA best practices and replication.
Nice to have experience with BigQuery, Iceberg, DBT, and open table formats or similar technology; knowledge of VMware and SQL Server 2022.
Nice to have experience with Siemens Camstar.

Technologies

Microsoft SQL Server
SSIS, SSRS
Power BI
PolyBase
BigQuery
DBT
Datastream
Cloud Storage
BigLake
Apache Iceberg
Cloud SQL
AI, MCP
Jira, Jama, Confluence
VMware
Siemens Camstar
SQL Server 2012+

Benefits

Opportunity to contribute to CGM technology as part of the Dexcom community.
Comprehensive benefits program.
Growth opportunities on a global scale.
Career development through in-house learning programs and eligible tuition reimbursement.
An innovative, industry-leading organization dedicated to employees, customers, and communities.

Travel Required

0-5% travel time.

Experience and Education Requirements

Typically requires a Bachelor’s degree in a technical discipline with 8-12 years of related experience, or a Master’s degree with 5-7 years of equivalent industry experience, or a PhD with 2-4 years of experience.

Remote Workplace

Positions are based in a home office. Living within a 75 mile (120 km) radius of a Dexcom site is not required; hybrid arrangements may be available if you are within commuting distance. Flex workplace options may be discussed.