Senior Software Engineer

Senior Data Engineer

As a Senior Software Engineer, you will play a key role in designing and buildin...

Location

United States

Salary:

156000.00 - 195000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

5+ years experience in platform engineering, data engineering or in a data facing role
Experience in building data applications
Deep knowledge of data eco system with an ability to collaborate cross-functionally
Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
Excellent communication skills
Self-motivated and self-directed
Inquisitive, able to ask questions and dig deeper
Organized, diligent, and great attention to detail
Acts with the utmost integrity
Genuinely curious and open

Job Responsibility

Architect and build robust, scalable data pipelines (batch and streaming) to support a variety of internal and external use cases
Develop and maintain high-performance APIs using FastAPI to expose data services and automate data workflows
Design and manage cloud-based data infrastructure, optimizing for cost, performance, and reliability
Collaborate closely with software engineers, data scientists, analysts, and product teams to translate requirements into engineering solutions
Monitor and ensure the health, quality, and reliability of data flows and platform services
Implement observability and alerting for data services and APIs (think logs, metrics, dashboards)
Continuously evaluate and integrate new tools and technologies to improve platform capabilities
Contribute to architectural discussions, code reviews, and cross-functional projects
Document your work, champion best practices, and help level up the team through knowledge sharing

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Senior Data Engineer

We’re hiring a Senior Data Engineer with strong experience in AWS and Databricks...

Location

India , Hyderabad

Salary:

Not provided

Appen

Expiration Date

Until further notice

Requirements

5-7 years of hands-on experience with AWS data engineering technologies, such as Amazon Redshift, AWS Glue, AWS Data Pipeline, Amazon Kinesis, Amazon RDS, and Apache Airflow
Hands-on experience working with Databricks, including Delta Lake, Apache Spark (Python or Scala), and Unity Catalog
Demonstrated proficiency in SQL and NoSQL databases, ETL tools, and data pipeline workflows
Experience with Python, and/or Java
Deep understanding of data structures, data modeling, and software architecture
Strong problem-solving skills and attention to detail
Self-motivated and able to work independently, with excellent organizational and multitasking skills
Exceptional communication skills, with the ability to explain complex data concepts to non-technical stakeholders
Bachelor's Degree in Computer Science, Information Systems, or a related field. A Master's Degree is preferred.

Job Responsibility

Design, build, and manage large-scale data infrastructures using a variety of AWS technologies such as Amazon Redshift, AWS Glue, Amazon Athena, AWS Data Pipeline, Amazon Kinesis, Amazon EMR, and Amazon RDS
Design, develop, and maintain scalable data pipelines and architectures on Databricks using tools such as Delta Lake, Unity Catalog, and Apache Spark (Python or Scala), or similar technologies
Integrate Databricks with cloud platforms like AWS to ensure smooth and secure data flow across systems
Build and automate CI/CD pipelines for deploying, testing, and monitoring Databricks workflows and data jobs
Continuously optimize data workflows for performance, reliability, and security, applying Databricks best practices around data governance and quality
Ensure the performance, availability, and security of datasets across the organization, utilizing AWS’s robust suite of tools for data management
Collaborate with data scientists, software engineers, product managers, and other key stakeholders to develop data-driven solutions and models
Translate complex functional and technical requirements into detailed design proposals and implement them
Mentor junior and mid-level data engineers, fostering a culture of continuous learning and improvement within the team
Identify, troubleshoot, and resolve complex data-related issues

Fulltime

Boosted.ai is seeking a highly motivated and results-driven Senior Software Engi...

Location

Canada; United States

Salary:

Not provided

Boosted.ai

Expiration Date

Until further notice

Requirements

Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related field
3+ years of professional programming experience, with a strong focus on Python
Solid understanding of data structures, algorithms, and their applications
Experience building and optimizing distributed, scalable systems and high-performance applications
Proficiency in working with large-scale datasets and implementing solutions for efficient data processing
Strong problem-solving skills with the ability to make quick, thoughtful decisions in a fast-paced environment
Excellent communication skills with a proven ability to collaborate effectively in a team-oriented environment

Job Responsibility

Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions
Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems
Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges
Work with large datasets, ensuring efficient processing, manipulation, and analysis
Contribute to architectural decisions, proposing and implementing innovative solutions to technical problems
Mentor and guide junior team members to promote growth and knowledge sharing within the engineering team
Continuously evaluate and integrate emerging technologies to improve system performance and scalability
Maintain a strong focus on writing clean, maintainable, and efficient code while adhering to best practices and coding standards

What we offer

Flexible (Unlimited) Paid Time Off
Medical, Dental, and Vision benefits for you and your family
Life Insurance and Disability Benefits
Access to a 401(k) retirement savings plan (for U.S. employees)
Paid Parental Leave
Free access to use Boosted.ai Alfa™ to make money

Fulltime

Senior Data Engineer

Darwin Recruitment are hiring for a Senior Data Engineer for a business in Luxem...

Location

Luxembourg

Salary:

120000.00 EUR / Year

Darwin Recruitment GmbH

Expiration Date

Until further notice

Requirements

5+ years of combined experience in Data Engineering, Cloud Engineering or similar roles
Proficiency in designing scalable, efficient, and maintainable data pipelines and architecture
Proficiency in deploying workloads on Kubernetes clusters
Strong experience with Apache Airflow
Experience in building and managing ETL workflows for data extraction, transformation, and loading
Experience with software development life cycle: design, development, test, deployment, operations
Proficiency in Python and Python data stack
Working knowledge of some infrastructure-as-code framework, preferably Terraform
Highly self-motivated, keen learner able to solve challenging problems with creative solutions
Strong team player with demonstrated ability to take ownership and drive execution

Job Responsibility

Design and implement cloud-native data pipelines
Optimize performance and scalability of existing data pipelines
Deploy and maintain cloud infrastructure (AWS)
Take ownership of system components from concept to delivery
Mentor team members
Collaborate with Data Scientists to bring scientific models to production

Intermediate / Senior Software Engineer Scientific Engine (Python)

Due to our consistent growth, we are seeking to expand our Data, Software and De...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

Coaching or mentoring experience
Scoping and identifying solutions with business team
Handling human interactions between tech and business
Excellent communication skills, in both formal and informal settings, and in English and French
3 years or more of experiences as a software engineer or data scientist
Solid knowledge in Python
Solid engineering background: master in computer science, mathematics, physics or earth science
Experience optimizing and profiling python code
Experience in a microservices architecture
Good knowledge with Docker

Job Responsibility

Contribute directly on the code base either individually, in pairs or more
Organize REX sessions to share the knowledge received with the rest of the team
Ensure compliance to internal standards and practices
Present the progress and goals
Contribute to the technical roadmap through architecture meetings, design documents
Coach your collaborators to consistently deliver according to their roadmap
Provide expertise to help your team: Develop, optimize and update software for: Calculation of risk models
Data collection, preparation and visualization
Export of outputs adapted to users
Testing and validation of existing solutions

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks
A competitive salary, bonus and benefits
You can benefit from a punctual home office days

Senior Data Engineer

The Data Engineer is responsible for designing, building, and maintaining robust...

Location

Germany , Berlin

Salary:

Not provided

ib vogt GmbH

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Data Engineering, or related field
5+ years of experience in data engineering or similar roles
experience in renewable energy, engineering, or asset-heavy industries is a plus
Strong experience with modern data stack (e.g., PowerPlatform, Azure Data Factory, Databricks, Airflow, dbt, Synapse, Snowflake, BigQuery, etc.)
Proficiency in Python and SQL for data transformation and automation
Experience with APIs, message queues (Kafka, Event Hub), data streaming and knowledge of data lakehouse and data warehouse architectures
Familiarity with CI/CD pipelines, DevOps practices, and containerization (Docker, Kubernetes)
Understanding of cloud environments (preferably Microsoft Azure, PowerPlatform)
Strong analytical mindset and problem-solving attitude paired with a structured, detail-oriented, and documentation-driven work style
Team-oriented approach and excellent communication skills in English

Job Responsibility

Design, implement, and maintain efficient ETL/ELT data pipelines connecting internal systems (M365, Sharepoint, ERP, CRM, SCADA, O&M, etc.) and external data sources
Integrate structured and unstructured data from multiple sources into the central data lake / warehouse / Dataverse
Build data models and transformation workflows to support analytics, reporting, and AI/ML use cases
Implement data quality checks, validation rules, and metadata management according to the company’s data governance framework
Automate workflows, optimize performance, and ensure scalability of data pipelines and processing infrastructure
Work closely with Data Scientists, Software Engineers, and Domain Experts to deliver reliable datasets for Digital Twin and AI applications
Maintain clear documentation of data flows, schemas, and operational processes

What we offer

Competitive remuneration and motivating benefits
Opportunity to shape the data foundation of ib vogt’s digital transformation journey
Work on cutting-edge data platforms supporting real-world renewable energy assets
A truly international working environment with colleagues from all over the world
An open-minded, collaborative, dynamic, and highly motivated team

Fulltime