Data Build Tool

Data Build Tool Engineer Jobs

21 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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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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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.

Salary

USD 128,600 - 214,400 per year.

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6d ago

Data Engineer

Centro, Inc North Liberty, IA

North Liberty, IA

6d ago

Full time Apache Airflow Data Analysis Data Analytics

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Job Description

Centro, Inc is seeking a Data Engineer to design, build, and maintain the organization’s data infrastructure and pipelines that support reporting, analytics, and decision making. This role operates within Centro’s Harbor data platform to convert data into actionable information that informs business decisions. The position is based on site in North Liberty, Iowa.

Location

North Liberty, IA (onsite)

Responsibilities

Design, build, and sustain ETL pipelines to support enterprise reporting and analytics.
Create and manage data workflows across extraction, change data capture, transformation, and loading stages.
Schedule and trigger workflows for both routine and on-demand runs using Prefect.
Consolidate data from ERP, manufacturing, and business systems into centralized data platforms.
Stage and transform source data in MongoDB environments and load curated datasets into Microsoft SQL Server.
Apply incremental processing strategies using Redis-based CDC methodologies.
Transform complex, nested, and multi-value data into relational models optimized for reporting and analytics.
Develop and maintain dbt models, data tests, and related documentation.
Monitor pipeline performance and troubleshoot data quality issues, schema changes, and workflow failures.
Collaborate with business stakeholders to capture data requirements and design scalable solutions.
Produce and maintain technical documentation, operational procedures, and support resources.
Identify opportunities to automate manual processes and enhance data delivery efficiency.
Ensure data accuracy, consistency, security, and reliability across systems.
Keep current with emerging data engineering technologies, tools, and best practices.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or an equivalent combination of education and experience.
Proven experience designing, building, and supporting production data pipelines.
Proficiency in SQL and Python for enterprise data processing and integration tasks.
Experience working with structured, semi-structured, and unstructured data.
Demonstrated ability to troubleshoot and optimize data workflows and performance.
Strong analytical, organizational, and problem-solving abilities.
Effective written and verbal communication skills.
Ability to manage multiple priorities and adapt to evolving business needs.

Technologies

SQL
Python
Prefect
MongoDB
Microsoft SQL Server
Redis
dbt
Docker
Apache Airflow

Physical Requirements & Work Environment

Primarily office-based work performed in a professional business environment.
Occasional exposure to manufacturing environments, including production floor areas.
Ability to sit, stand, walk, and use computer equipment for extended periods.
Occasional travel may be required.
Typical schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m., with flexibility as business needs require.

Why Join Centro?

Centro is a leader in rotational molding with a longstanding emphasis on innovation, quality, and employee development. The company fosters a collaborative environment where team members influence business processes and support strategic growth through technology and data‑driven decision making.

Equal Opportunity Employer

Centro is an Equal Opportunity Employer.

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8d ago

Data Engineer

Booz Allen Hamilton Fayetteville, NC

Fayetteville, NC

8d ago

$78k - $176k/yr Full time Apache Airflow Automation AWS

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Job Description

Booz Allen Hamilton is seeking a Senior Data Engineer to help design and build scalable data platforms and pipelines, migrate data to cloud environments, and implement CI/CD within a complex enterprise setting. This onsite role in Fayetteville, NC offers a salary range of USD 77,500 to 176,000 per year and requires a minimum of two years of experience along with a high school diploma or GED.

Responsibilities

Design, build, and maintain scalable data pipelines and platforms.
Develop secure, efficient Python for data processing, automation, and warehousing.
Migrate and integrate data from on-premises systems to cloud environments.
Implement CI / CD pipelines to automate build, test, and deployment workflows.
Develop SQL scripts and stored procedures for data processing and transformation.
Apply data modeling best practices.
Support data governance, metadata tagging, and access controls.
Partner with cross-functional teams to deliver end-to-end data solutions.
Provide technical guidance in a complex enterprise environment.

Requirements

2+ years of experience as a data engineer supporting large-scale enterprise systems.
Experience writing clean, secure, and efficient Python for data engineering use cases.
Experience moving data from on-prem environments to the cloud and automating development workflows, including building, deploying, or managing applications.
Experience with CI / CD practices.
Experience with SQL, including stored procedures and data modeling.
Experience with data governance and data tagging.
Knowledge of AWS services, such as S3, IAM, EventBridge, Step Functions, or Lambda.
Ability to work independently and manage tasks with minimal supervision.
TS/SCI clearance.
HS diploma or GED.

Technologies

Python
SQL
AWS (S3, IAM, EventBridge, Step Functions, Lambda)
dbt
Airflow
Pipeline Builder
AIP
Foundry
Apache Iceberg
Terraform
CloudFormation
NoSQL databases
Graph databases

Benefits

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Work Model

Onsite: Work will primarily be performed at a Booz Allen office or customer facility, where collaboration with colleagues and clients occurs as required by the role.

Identity Statement

As part of the hiring process, you will complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. Interviews and assessments require you to be on camera, and Booz Allen may take your picture to verify identity and prevent fraud.

Candidate AI Usage Policy

AI is part of Booz Allen's daily work, and the company supports responsible and ethical use of AI tools. The candidate process should rely on your own skills and knowledge; using AI or other tools to assist with interview responses is prohibited unless explicit permission is provided.