Database Developer (Python + DBT) Jobs

Data Engineer

At Allianz Technology, we power the digital transformation of the Allianz Group....

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Proficient in Python for development, automation, and data processing
strong experience using DBT for data transformation and management in cloud environments
solid experience with Azure Data Factory (ADF) for orchestrating ETL workflows
familiarity with Jenkins for CI/CD workflows
expertise in SQL for querying databases and building data models
ability to design and implement effective data models, create databases, and optimize performance
knowledge of Agile Methodology and familiarity with data governance and security best practices with strong problem-solving, troubleshooting and collaboration skills, as well as the ability to thrive in a dynamic environment
experience with data warehousing and cloud-based platforms (Azure)
familiarity with APIs for integrating third-party systems into data workflows
experience in data modeling and data analytics platforms

Job Responsibility

Design and implement scalable ETL pipelines using DBT and Azure Data Factory (ADF) to process and transform data
integrate DBT with ADF runtime environments and leverage APIs for seamless execution
write high-quality, well-documented Python code for data transformation, extraction, and automation processes
utilize Visual Studio Code for efficient development and manage project versioning with GitHub
collaborate closely with the team to design and maintain SQL-based data models and data warehouse solutions
collaborate with cross-functional teams to understand data requirements and ensure data accessibility and usability
implement Jenkins for continuous integration and delivery (CI/CD) to automate data pipeline workflows
create and maintain automated workflows to enhance business intelligence, reporting, and data insights
troubleshoot, resolve, and optimize data pipeline issues to support large-scale data processing and ensure consistent data quality
proactively monitor data pipelines, ensuring data accuracy, consistency, and reliability

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)
career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered
flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach

Fulltime

New

Senior Data Engineer

As a Senior Data Engineer, you will be pivotal in designing, building, and optim...

Location

United States

Salary:

102000.00 - 125000.00 USD / Year

Wpromote

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
4+ years of experience in data engineering or a related field
Intermediate to advanced programming skills in Python
Proficiency in SQL and experience with relational databases
Strong knowledge of database and data warehousing design and management
Strong experience with DBT (data build tool) and test-driven development practices
Proficiency with at least 1 cloud database (e.g. BigQuery, Snowflake, Redshift, etc.)
Excellent problem-solving skills, project management habits, and attention to detail
Advanced level Excel and Google Sheets experience
Familiarity with data orchestration tools (e.g. Airflow, Dagster, AWS Glue, Azure data factory, etc.)

Job Responsibility

Developing data pipelines leveraging a variety of technologies including dbt and BigQuery
Gathering requirements from non-technical stakeholders and building effective solutions
Identifying areas of innovation that align with existing company and team objectives
Managing multiple pipelines across Wpromote’s client portfolio

What we offer

Half-day Fridays year round
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance

Fulltime

Data Engineer

You will be part of a world-class Data Engineering team, where you will influenc...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s degree (or equivalent work experience) in a STEM field
Proficiency in Python or other modern programming language development experience
Proficiency in SQL and relational databases experience

Job Responsibility

influence product teams
inform Data Science and Analytics Platform teams
partner closely with data consumers and producers to ensure quality and usefulness of data assets
Defining metrics
Instrumenting logging
Acquiring/ingesting data
Architecting & modeling data
Transforming data
Ensuring data quality, governance, and enablement
Alerting, visualization, and reporting

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

New

Staff Software Engineer

At dbt Labs, our mission is to empower data practitioners to create and dissemin...

Location

India

Salary:

Not provided

dbt Labs

Expiration Date

Until further notice

Requirements

6+ years of professional software development experience, with a focus on building and operating backend systems in a production environment
Deep backend engineering experience and proficiency in Python
A systematic, first-principles approach to problem-solving, with comfort navigating and debugging in Linux environments (e.g., understanding process scheduling, memory management, file systems)
Solid grasp of database internals, such as query execution engines, storage layers, indexing strategies, and transaction management
Excellent communication skills and a sense of ownership, with the ability to balance technical depth with fast, iterative delivery

Job Responsibility

Dive deep into the dbt-core execution engine, using your systems expertise to identify, debug, and eliminate performance bottlenecks in our Python codebase
Architect and implement improvements to our adapter interface, the crucial layer that connects dbt to a growing ecosystem of databases and data platforms, enabling the community to build more powerful and efficient integrations
Debug complex, system-level issues that span from Linux process management and concurrency models to database query planning and network protocols
Lead technical design discussions and contribute to the long-term architectural roadmap for dbt Core, making key decisions about what, how, and when we build to ensure its scalability and reliability for years to come
Mentor other engineers and review contributions from our vibrant open-source community, upholding our high standards for code quality, testing, and design while fostering a collaborative and inclusive environment
Take strong ownership of our distributed systems, troubleshoot complex production issues, and participate in an on-call rotation to maintain high availability and deliver a resilient platform experience

What we offer

Equity Stake
Unlimited Vacation (and we encourage you to use it!)
Excellent Healthcare Insurance
Paid Parental Leave
Wellness Stipend

Fulltime

New

Data Engineer

Location

Salary:

Not provided

Ryz Labs

Expiration Date

Until further notice

Requirements

Minimum 5 years of experience designing, building, and maintaining data platforms
Proficiency building software systems, testing, and the fundamental principles of software design (e.g. SOLID)
Proficiency in Python and experience with data engineering libraries and frameworks
Experience optimizing query performance on cloud data warehouse platforms and relational databases (e.g. Snowflake)
Experience with DBT for data transformation
Experience with data pipeline orchestration tools (e.g., Airflow)
Familiarity with DevOps tooling (e.g. Docker, K8S, Helm, Github Actions)
Familiarity with various components of cloud computing platforms (e.g. AWS)
Excellent team player with strong communication skills
Comfortable collaborating with stakeholders and navigating ambiguity to understand product requirements

Job Responsibility

Design, build, and maintain scalable and reliable data pipelines using Python, Airflow, and other tools
Collaborate closely with data scientists and analysts to understand their requirements and translate them into efficient data processing workflows
Manage and optimize data storage and querying in Snowflake to ensure high performance and reliability
Implement best practices for data governance, security, and privacy
Coordinate and participate in on-call rotations
Develop a culture of high ownership, innovation, empathy, and collaboration
Make investments in engineering reliability, productivity, and excellence
Collaborate with stakeholders across the world to drive teams towards high impact

New

Data Engineer, Solutions Architecture

We are seeking a talented Data Engineer to design, build, and maintain our data ...

Location

United States , Scottsdale

Salary:

90000.00 - 120000.00 USD / Year

Clearway Energy

Expiration Date

Until further notice

Requirements

2-4 years of hands-on data engineering experience in production environments
Bachelor's degree in Computer Science, Engineering, or a related field
Proficiency in Dagster or Airflow for pipeline scheduling, dependency management, and workflow automation
Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
Strong Python and SQL skills for data processing and automation
1-2+ years of experience with continuous integration and continuous deployment practices and tools (Git, GitHub Actions, GitLab CI, or similar)
Advanced SQL skills, database design principles, and experience with multiple database platforms
Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
Experience with APIs, streaming platforms (Kafka, Kinesis), and various data connectors and formats

Job Responsibility

Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
Optimize query performance and resource utilization to control costs and improve processing speed
Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
Implement workflow automation and dependency management for critical business operations
Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
Support advanced analytics initiatives through proper data preparation and feature engineering
Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets

What we offer

generous PTO
medical, dental & vision care
HSAs with company contributions
health FSAs
dependent daycare FSAs
commuter benefits
relocation
a 401(k) plan with employer match
a variety of life & accident insurances
fertility programs

Fulltime

New

Senior Data Engineer

This project is designed for consulting companies that provide analytics and pre...

Location

Salary:

Not provided

Lightpoint Global

Expiration Date

Until further notice

Requirements

successfully implemented and released data integration services or APIs using modern Python frameworks in the past 4 years
successfully designed data models and schemas for analytics or data warehousing solutions
strong analysis and problem solving skills
strong knowledge of Python programming language and data engineering
deep understanding of good programming practices, design patterns, and software architecture principles
ability to work as part of a team by contributing to product backlog reviews and solution design and implementation
be disciplined in implementing software in a timely manner while ensuring product quality isn't compromised
formal training in software engineering, computer science, computer engineering, or data engineering
have working knowledge with Apache Airflow or a similar technology for workflow orchestration
have working knowledge with dbt (data build tool) for analytics transformation workflows

Job Responsibility

work in an agile team to design, develop, and implement data integration services that connect diverse data sources including event tracking platforms (GA4, Segment), databases, APIs, and third-party systems
build and maintain robust data pipelines using Apache Airflow, dbt, and Spark to orchestrate complex workflows and transform raw data into analytics-ready datasets in Snowflake
develop Python-based integration services and APIs that enable seamless data flow between various data technologies and downstream applications
collaborate actively with data analysts, analytics engineers, and platform teams to understand requirements, troubleshoot data issues, and optimize pipeline performance
participate in code reviews, sprint planning, and retrospectives to ensure high-quality, production-ready code by end of each sprint
contribute to the continuous improvement of data platform infrastructure, development practices, and deployment processes in accordance with CI/CD best practices

Fulltime

New

Senior Analytics Engineer

We are seeking a highly skilled and motivated Senior Analytics Engineer to play ...

Location

United States , New York

Salary:

200000.00 - 225000.00 USD / Year

EvolutionIQ

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
5+ years of experience in data engineering, with a focus on building analytical data platforms
Demonstrated experience with cloud data warehousing solutions (e.g. BigQuery, Snowflake, Redshift)
Strong proficiency in SQL and experience with data modeling techniques (e.g., star schema, dimensional modeling)
Experience building and maintaining ETL/ELT pipelines using tools like Dagster, Apache Airflow, dbt, or similar
Experience with programming languages such as Python, Java, or Scala
Excellent problem-solving and analytical skills, along with passion for data and a commitment to data quality

Job Responsibility

Lead the design, development, and implementation of a scalable, reliable, and efficient analytical data platform
Influence decisions on technology and tool selection for data ingestion, storage, transformation, and analysis for the analytics platform
Contribute to the overall data architecture and strategy, ensuring alignment with business needs and best practices
Build and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources into the data warehouse (e.g., cloud storage, databases, APIs)
Develop and optimize data models for analytical use cases, ensuring data quality, consistency, and accessibility
Establish and enforce data quality standards and processes to ensure data accuracy and integrity
Implement data governance policies and procedures to manage data access, security, and compliance for analytics use cases
Proactively identify and address data quality issues, working with stakeholders to resolve root causes
Partner with data scientists, analysts, and other engineers to understand their data needs and provide solutions
Effectively communicate technical concepts and designs to both technical and non-technical audiences

What we offer

Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching
Additional family, wellness, and pet benefits
Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers)
Flexible schedule for new parents returning to work
Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend
$1,000/year for each employee for professional development, as well opportunities for tuition reimbursement
Annual bonus plan and company equity plan (RSUs)

Fulltime

Database Developer (Python + DBT)

Wissen

Location:
India, Bangalore South

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 13, 2025

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