Database

Database Engineer Jobs

1,077 jobs found

Today

Principal Frontend AI Engineer - Cortex Code

Snowflake Menlo Park, CA

Menlo Park, CA

Today

$200k - $288k/yr Full time Artificial Intelligence Data Processing Database

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Job Description

Snowflake is seeking a Principal Frontend AI Engineer to help build and operate federated, distributed billing systems as part of Cortex Code. In this role, you will also shape AI product billing strategy using Snowflake’s platforms and Cortex AI/Cortex Code tooling, with an emphasis on reliability, correctness, and auditability.

Role Focus

Own medium-sized projects end-to-end, from design through launch and operation, and contribute as a key engineer on large, multi-team initiatives.
Build federated, distributed billing systems that meter, rate, and invoice usage across every Snowflake service on Snowflake’s own product.
Shape billing strategy for AI products in partnership with Cortex AI, Intelligence, and Apps, including token-based inference, agent workflows, and AI-native subscriptions.
Use AI as a first-class collaborator across development, code review, debugging, and on-call triage via Cortex Code CLI and Snowflake Intelligence.

What You Will Deliver

Drive reliability and correctness through on-call participation, debugging across unfamiliar areas, and systemic fixes to monitoring, alerts, and quality.
Serve as the go-to expert for one or more billing components, such as metering, rating, invoicing, contracts, payments, threshold billing, fraud, or reporting, and mentor other engineers.
Partner cross-functionally with Product, Finance, GTM Systems, Growth, Trust, and Legal to translate business intent into reliable, auditable systems.

Required Qualifications

7+ years of professional software engineering experience building and supporting large-scale, production distributed systems.
Bachelor’s or Master’s degree in Computer Science (or related technical field), or equivalent practical experience.
Strong fundamentals in distributed systems, including consistency, fault tolerance, idempotency, exactly-once processing, queueing, and stream/batch data pipelines.
Strong fundamentals in databases and data modeling, including SQL fluency, schema design, performance tuning, and operational realities of large-scale data systems.
Proficiency in one or more of Java, Scala, Python, or Go, along with engineering practices that support operation at scale (testing, observability, CI/CD, incremental rollout).
Demonstrated ability to independently design, spec, schedule, and deliver medium-sized projects with quality, while contributing effectively as an individual contributor on larger, multi-team efforts.
Track record of owning reliability, including on-call participation, debugging production issues across unfamiliar areas, and driving systemic fixes rather than one-off patches.
Excellent communication skills and a collaborative working style, comfortable partnering with non-engineering stakeholders in Finance, Product, GTM, and Legal.
Curiosity about and hands-on experience with AI as a builder’s tool, plus interest in shaping the commercial models that bring AI products to market.

Technologies

Cortex Code CLI
Snowflake Intelligence
Cortex AI
SQL
Java
Scala
Python
Go

Compensation

Estimated base salary range for this role in the United States: $200,000 - $287,500 per year.
Eligible to participate in Snowflake’s bonus and equity plan.

Benefits

Bonus and equity plan eligibility
Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending & health savings account
At least 12 paid holidays
Paid time off
Parental leave
Employee assistance program
Other company benefits

Bonus Points

Prior experience in billing, payments, metering, revenue, or financial systems at a SaaS or cloud company.
Experience with fraud detection, abuse mitigation, or trust/safety systems in a usage-based product.
Experience designing or evolving pricing models for AI/ML products (inference, fine-tuning, agentic workloads).
Experience building on Snowflake or comparable cloud data platforms (Snowpark, Streams/Tasks, Iceberg, Streamlit, Cortex).
Contributions to internal AI developer-productivity tooling, agentic skills, or Cortex Code workflows.

Location: Menlo Park, CA (onsite)

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Today

Staff Machine Learning Engineer, ML Platform

Braze Chicago, IL

Chicago, IL

Today

$184k - $314k/yr Full time Ai Ml Artificial Intelligence Automation

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Job Description

Braze is hiring a Staff Machine Learning Engineer for the Predictive and Generative AI (PGAI) team to own the ML platform underneath production ML and drive reliability at global scale.

Responsibilities

Identify and lead major initiatives that change production ML operations, including replatforming queueing and orchestration, overhauling deployment and cloud identity, or retiring infrastructure components
Ship high-impact infrastructure and ML platform changes at high velocity, with direct hands-on ownership of complex initiatives from design through production
Own the platform technical vision and production quality bar, including direction for training, deployment, serving, and observability
Lead incident response for ML systems and drive reliability and cost improvements to keep the platform efficient at scale
Coordinate and deliver cross-team initiatives leveraging shared infrastructure, deployment tooling, and data systems owned with partner teams
Improve engineering quality through design review, code review, and production readiness practices for ML systems
Mentor other senior engineers and data scientists
Translate technical decisions into customer and business outcomes and represent the team’s technical perspective to product and engineering leadership

Requirements

8+ years building and operating distributed systems in production, with depth in deployment and operations
Hands-on production experience with ML workloads
Proven technical leadership: owned team direction, led multi-quarter initiatives across team boundaries, and grew senior engineers while maintaining high personal output
Deep working knowledge of Kubernetes and cloud infrastructure, including identity and access management, networking, and the cost profile of workloads
Strong verbal and written communication skills, able to build consensus and drive forward decision-making
Bonus: Experience with queueing and orchestration systems such as Celery, RabbitMQ, Kafka, or Ray
Bonus: Experience with ML platform tooling such as MLflow or other model registry tools, feature stores, or ML observability
Bonus: Experience with Braze stack: Python, Ruby on Rails, MongoDB, Redis, Kubernetes
Bonus: Experience operating under compliance regimes such as SOX or HIPAA
Bonus: Experience in customer engagement, personalization, or marketing technology domains

Technology Focus

Celery, RabbitMQ, Kafka, Ray
MLflow
Python, Ruby on Rails
MongoDB, Redis
Kubernetes
SOX, HIPAA

Location and Compensation

Location: Chicago, IL (hybrid)
Salary: USD 184,000 - 314,000 per year
Minimum experience: 8 years

Benefits

Competitive compensation that may include equity
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services including fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
Curated in-office employee experience designed to foster community, team connections, and innovation
Opportunities to give back, including annual Volunteer Week and donation matching
Employee Resource Groups
Collaborative, transparent, and fun culture recognized as a Great Place to Work®

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Today

Data Engineer

Robert Half Madison, WI

Madison, WI

Today

$100k - $140k/yr Full time 3d Design Tools Big Data Bigdata

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Job Description

Robert Half is hiring a Data Engineer in Madison, WI for an onsite role focused on cloud data capabilities. The position supports reliable, scalable data platforms used for analytics and reporting, including building data solutions, automating data movement, and strengthening data quality and platform stability.

Role summary

You will help design and deliver practical data systems that enable information to be accessed, trusted, and used across analytics and reporting teams. Work spans data modeling, performance improvements in large-scale cloud environments, and troubleshooting to keep data platforms running smoothly.

Responsibilities

Build data solutions that improve how information is accessed, and make it more reliable and usable for analytics and reporting teams.
Enhance organizational data movement by creating efficient, automated processes that reduce manual effort and improve consistency.
Support large-scale cloud data environments by improving performance, troubleshooting issues, and helping maintain platform stability.
Partner with technical and non-technical stakeholders to understand business needs and translate them into data solutions.
Develop and refine data models for operational reporting, business intelligence initiatives, and future growth.
Work with a range of data sources and formats to ensure information can be used effectively across teams and applications.
Help establish data quality standards using validation, monitoring, and continuous process improvements.

Required qualifications

Cloud-based data engineering and platform development
Data warehousing and analytics environments
SQL development and data modeling
Python-based data processing and automation
Ability to build and support modern ETL or ELT frameworks
Large-scale data processing technologies such as Hadoop or Cloudera
Data quality, governance, validation, and performance tuning
Bachelor's degree or equivalent experience
Ability to meet client background clearance requirements
U.S. Citizen or Green Card Holder

Helpful experience with technologies

AWS services such as Glue, Athena, and Redshift
Snowflake, Databricks, Spark, Hive, or EMR
Kafka or other streaming technologies
PostgreSQL, MySQL, MongoDB, or Cassandra
Linux administration and scripting
Agile development environments
AI-assisted development tools

Compensation and location

Location: Madison, WI (onsite)
Salary: USD 100,000 - 140,000 per year

Benefits

Medical, vision, dental, and life and disability insurance (for contract/temporary professionals)
Eligible to enroll in the company 401(k) plan (for hired contract/temporary professionals)

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Today

Software Engineer - Microservices Architecture

National Computing Group Pittsburgh, PA

Pittsburgh, PA

Today

$55 - $65/hr Full time Backend Developer Python APIs

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Job Description

Software Engineer role focused on building scalable microservices-based applications in a Pittsburgh, PA onsite environment.

Responsibilities

Design, develop, and maintain scalable microservices-based applications
Build and enhance backend services using Java or Python
Create and improve REST APIs and support system integrations
Implement event-driven solutions using Apache Kafka
Develop data processing and batch solutions (including Spring Batch where applicable)
Work with databases to design efficient queries and optimize application performance
Collaborate with architects, UI developers, QA, and DevOps teams
Participate in design reviews, code reviews, and Agile development activities
Troubleshoot application issues and provide technical solutions
Learn and adopt new technologies as required

Requirements

3+ years of software development experience
Strong experience with Microservices architecture
Strong programming experience in either:
- Java with Spring Boot
- Python with modern backend frameworks
Experience designing and developing RESTful APIs
Experience with distributed systems and service-based architecture
Experience with messaging/event-driven platforms such as Apache Kafka
Strong SQL skills and experience with relational databases (Oracle preferred)
Experience with container technologies such as Docker
Experience deploying applications using OpenShift / Kubernetes
Experience with Azure DevOps, Git, and CI/CD pipelines
Strong skills in debugging, troubleshooting, and performance optimization

Technology Environment

Java / Spring Boot
Python
Microservices
REST APIs
Apache Kafka
Spring Batch
Oracle Database
PostgreSQL
Docker
OpenShift / Kubernetes
Azure DevOps
Git
AI/ML Integration

Preferred Skills

Experience with Spring Boot, Spring Batch, and Java Microservices
Experience with Python Microservices
Experience integrating AI/ML solutions into applications
Experience with PostgreSQL
Experience processing large datasets
Experience building analytics/reporting solutions
Knowledge of cloud-native application development
Manufacturing, Supply Chain, or Industrial domain experience

Location: Pittsburgh, PA (onsite)

Compensation: USD 55 - 65 per hour

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1d ago

Quantitative Data Engineer

Canyon Associates Parsippany-Troy Hills, NJ

Parsippany-Troy Hills, NJ

1d ago

$150k - $200k/yr Full time Backend Developer Data Analysis Data Analytics

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Job Description

Quantitative Data Engineer opportunity with a hybrid work setup in Parsippany-Troy Hills, NJ, focused on production development and equity market model implementation.

On-site schedule: required to work 3 days per week on site
Production development: build production workflows and software in Python
Quantitative modeling: implement and manage quantitative models for equity markets

Requirements

Equities / investment systems: experience with equities and/or investment systems
Data & database: SQL and stored procedures
Financial equity data: experience with one or more of Bloomberg, LSEG, Compustat, CapIQ
Education: MS degree
Job type: Full-time
Work location: Hybrid remote in Parsippany-Troy Hills, NJ 07054

Tech Stack

Python
SQL
Stored procedures
Bloomberg
LSEG
Compustat
CapIQ

Compensation

Salary range: USD 150,000 - 200,000 per year

Benefits

401(k)
401(k) matching
Dental insurance
Flexible spending account
Health insurance
Health savings account
Paid time off
Parental leave
Vision insurance

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1d ago

Senior Data Engineer

Regal Cinemas, Inc Knoxville, TN

Knoxville, TN

1d ago

Full time Senior Apache Airflow Azure Data Factory

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Job Description

Regal Cinemas, Inc is hiring a Senior Data Engineer (Knoxville, TN, hybrid) to lead end-to-end data pipeline and analytics engineering work for machine learning and business intelligence initiatives.

Responsibilities

Design, develop, and maintain robust, scalable, and efficient data pipelines
Build and maintain SQL transformation models in a version-controlled analytics engineering framework (e.g., dbt)
Implement incremental processing strategies and reusable macros within dbt
Architect and implement data models including dimensional models and aggregate models
Provision and maintain warehouse infrastructure as code, including databases, schemas, roles, and grants
Collaborate with enterprise business units to understand and translate data requirements
Optimize systems for performance, scalability, and cost-efficiency (compute sizing and cost/credit budget monitoring)
Ensure data quality and integrity using automated testing, source-to-target reconciliation, freshness monitoring, and documentation
Implement and maintain CI/CD pipelines for data workflows
Implement and maintain data governance and security controls including RBAC, column-level data masking, and support for privacy/compliance requests
Migrate and modernize legacy data and reporting systems onto current platform capabilities
Mentor junior engineers, review peers’ code, and support team knowledge sharing and best practices
Create comprehensive documentation for existing and planned data processes

Requirements

Bachelor’s degree or above in Computer Science, Information Systems, or related science field, or equivalent practical experience
5+ years of experience as a Data Architect, Data Engineer, Analytics Engineer, or similar role
Strong SQL skills integrating relational databases (e.g., SQL Server, MySQL, Amazon RDS), on-premises and/or cloud-hosted
Hands-on experience with a cloud data warehouse platform such as Snowflake
Experience ingesting from non-relational sources including REST APIs, cloud analytics exports (e.g., BigQuery, GA4), and vendor file feeds (e.g., SFTP, fixed-width/CSV)
Proficiency in data modeling, ETL/ELT processes, and data warehousing solutions
Experience with a general-purpose programming language and testing/code-quality practices (e.g., Python)
Experience with a SQL transformation/analytics engineering framework (e.g., dbt)
Experience with Python-based ingestion frameworks or managed connectors (e.g., dlt, Fivetran, Airbyte)
Hands-on experience with cloud platforms including Azure services (Blob/ADLS, Data Factory, Key Vault, Entra)
Hands-on experience with orchestration tools (e.g., Airflow, Prefect)
Hands-on experience with infrastructure as code tools (e.g., Terraform)
Experience with version control and CI/CD (e.g., GitHub Actions, Bitbucket Pipelines)
Implementation experience with data governance, security, and compliance standards (e.g., RBAC, column-level masking, PII handling)
Excellent analytical, problem-solving, and written communication skills, with ability to document decisions and trade-offs for technical and non-technical audiences
Ability to work cross-functionally with technical and non-technical teams

Technologies

SQL, dbt, dbt macros
Python, dlt, Fivetran, Airbyte
Snowflake
SQL Server, MySQL, Amazon RDS
REST APIs, BigQuery, GA4
SFTP, CSV
Azure, Blob/ADLS, Data Factory, Key Vault, Entra
Airflow, Prefect
Terraform
GitHub Actions, Bitbucket Pipelines

Benefits

Discretionary annual bonus
Free movie passes and discounted concessions at any Regal location
Paid vacation time and sick leave
Eligibility to participate in our 401(k) retirement plan with company match after age 21 and one month of service
Summer half-day Fridays during the summer season
Medical and prescription coverage, with company contributions toward the cost
Company-paid life insurance and disability insurance at no cost to employees
Dental, vision, and supplemental life insurance options available for employees and their dependents
Additional coverage options including accident, critical illness, and hospital indemnity insurance

Preferred Criteria

Experience with hybrid connectivity between cloud and on-premises networks (e.g., VPN/VNet, private endpoints, DNS forwarding)
Experience with CDP, reverse-ETL, or audience activation tooling (e.g., RudderStack, Braze, Google Ads Customer Match)
Experience with BI platform security models (e.g., Power BI row-level security, Sigma)
Familiarity with data catalog and lineage tooling (e.g., DataHub)
Experience migrating off legacy ETL/BI stacks (e.g., SSIS, SSAS, SQL Server Agent)

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1d ago

Data Engineer Sr

Oshkosh Corporation Oshkosh, WI

Oshkosh, WI

1d ago

$104k - $174k/yr Full time Application Security Automation Azure Data Engineer

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Job Description

Oshkosh Corporation’s Advanced Analytics team is looking for a senior Data Engineer in Oshkosh, Wisconsin to help deliver an end-to-end data analytics strategy. This role focuses on acquiring, processing, and applying engineering and service data to support preventive maintenance and intelligent vehicle control, with an emphasis on building reliable CDC and ETL solutions.

You will work on scalable data processing pipelines that feed analytics platforms, partnering across disciplines and business segments while supporting governance, performance tuning, and documentation that enables architectural consistency and delivery planning.

Responsibilities

Design and develop scalable Change Data Capture (CDC) and ETL solutions to move structured and unstructured data from source systems to analytics platforms, supporting both batch and streaming.
Use tools and platforms including Terraform, Spark, Databricks, Snowflake, Git, and Azure infrastructure management (including ADLS Gen2, Azure Compute, Azure Data Factory, AI Foundry, AKS, VPC’s, and Storage Accounts, among others).
Assist with data governance across a data lake and an enterprise data warehouse, including quality and security practices across business segments.
Tune performance for data processes and troubleshoot data processing issues.
Collaborate, coordinate, and communicate across departments, disciplines, and segments.
Develop rapid prototyping and design processes to enable fast delivery to the business.
Maintain reference architecture and documentation to support architectural governance and application roadmaps.
Assist in educating others on data best practices, including data modeling, database design, ETL design, and job scheduling and monitoring.
Support or direct feasibility studies and project estimates for proposed R&D initiatives, including manpower, budget development, and timelines.
Follow supervisory direction on a mutually agreed schedule with minimum mentoring, providing feedback on technical hurdles, progress, and priority alignment to business needs.

Requirements

Bachelor’s degree in computer science, data science, or a related field, plus 4+ years working as a data engineer, ETL developer, and/or data warehouse DBA.
3-5 years of prior experience in a Data Engineering or Analytics organization in a technical role.
2+ years of software development experience ( Python/Go preferred ).
3+ years of major cloud provider experience (AWS/Azure/GCP).
Strong proficiency with SQL, Bash, and Python (including experience with Anaconda distribution).
2+ years operating in Unix/Linux and Windows server environments.
2+ years operating in an Agile / Scrum environment.
Experience with cloud-based data services and solutions including Azure Synapse / Data Lake, AWS RedShift, Snowflake, and GCP Big Query.
Experience partnering with Analytics and Data Science teams to build production-grade GenAI/ML solutions.
Familiarity with Change Data Capture solutions such as Qlik Replicate, Striim, and Debeezium.
Experience with big data tools and architectures including Cloudera Hadoop, HDFS, Hive, and Spark.
Working knowledge of telematics interfaces and streaming solutions including MQTT, NiFi, and Kafka.
Automotive or heavy duty on or off-road vehicle experience, including digital data bus knowledge such as Ethernet or Controller Area Network (CAN).
Highly organized with strong critical thinking, analytical, and problem-solving skills; capable of handling multiple tasks in a fast-paced environment.
Excellent interpersonal skills, including ability to present information and respond to leadership and peer questions.

Technologies

Change Data Capture (CDC), ETL
Terraform, Spark, Databricks, Snowflake, Git
Azure infrastructure management, ADLS Gen2, Azure Compute, Azure Data Factory, AI Foundry, AKS, VPC’s, Storage Accounts
AWS, Azure, GCP; Azure Synapse, Data Lake, AWS RedShift, GCP Big Query
GenAI/ML
Qlik Replicate, Striim, Debeezium
Cloudera Hadoop, HDFS, Hive
MQTT, NiFi, Kafka
Ethernet, Controller Area Network (CAN)
SQL, Bash, Python, Anaconda