Data Modeling

Data Modeling Engineer Jobs

94 jobs found

Today

Senior Data Engineer, Underwriting Technical Lead

Travelers Hartford, CT

Hartford, CT

Today

$139k - $230k/yr Full time Senior Amazon Web Services AWS

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Job Description

The Senior Data Engineer, Underwriting Technical Lead at Travelers drives growth and modernization of the analytics landscape. You will guide team members' development and create data solutions that translate complex information into accessible terms, supporting AI, ML, and business intelligence initiatives. This onsite role is based in Hartford, CT, with a salary range of USD 139,400 - 230,000 per year.

Responsibilities

Build and operationalize complex data solutions, address issues, apply data transformations, and recommend data cleansing and quality improvements.
Design intricate data solutions, incorporating new data sources and ensuring consistency across projects in alignment with data strategies.
Analyze diverse data sources to determine value and applicability, and advise on data to include in analytical processes.
Integrate core data management practices including data governance, data security, and data quality.
Serve as a data and technology subject matter expert within lines of business to support delivery and educate end users on data products and the analytic environment.
Perform data and system analysis, assessment, and resolution for high complexity defects and incidents, applying appropriate corrections.
Collaborate with cross functional teams to support delivery and educate end users on complex data products and analytic environments.
Take on additional duties as assigned.

Requirements

Bachelor’s Degree in a STEM field or equivalent.
Ten years of related experience.
Proven expertise designing, building, and maintaining scalable data pipelines on AWS, with hands on experience with S3, Glue, Redshift, Lambda, and/or EMR.
Proficiency in Databricks, including development and optimization of data workflows and leveraging Lakehouse architecture for large scale data processing.
Solid understanding of AI/ML concepts, with ability to collaborate with data science teams and support deployment or operation of machine learning models within the data ecosystem.
Hands on experience with dbt for data modeling, transformation, and documentation, applying strong software engineering practices to analytics workflows.
Advanced proficiency in PySpark for distributed data processing, capable of writing production grade code for large scale batch and streaming workloads.
Candidates from an Azure environment (Azure Data Factory, Synapse Analytics, Azure Databricks) will be considered if they demonstrate the ability to operate effectively within an AWS based stack.
Willingness to serve in a technical leadership capacity, including mentoring engineers, driving architectural decisions, and partnering with stakeholders across engineering and the business.
Bachelor’s degree in computer science or related STEM field, or equivalent education and/or work experience.
Six additional years of data engineering experience.

Technologies

AWS
S3
Glue
Redshift
Lambda
EMR
Databricks
dbt
PySpark
Azure Data Factory
Synapse Analytics
Azure Databricks

Benefits

Health Insurance
Retirement
Paid Time Off
Wellness Program
Volunteer Encouragement

Employment Practices

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

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1d ago

Staff Data Engineer

Okta Chicago, IL

Chicago, IL

1d ago

$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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3d ago

Lead Data Engineer

Daley and Associates Boston, MA

Boston, MA

3d 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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3d ago

Data Architect / Principal Data Engineer III

Hudson Manpower Cincinnati, OH

Cincinnati, OH

3d 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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5d ago

Data Engineer – Power BI

Intone Networks Remote 🌍 Remote

Remote

5d 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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5d ago

Supply Chain Data Engineer

NVIDIA Santa Clara, CA

Santa Clara, CA

5d 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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6d ago

Data Engineer Senior - Level 3

Lockheed Martin Corporation Fort Worth, TX

Fort Worth, TX

6d 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.