Senior Data Engineer Job at Kloud9

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

Senior Manager, Data Engineering

You will build a team of talented engineers that will work cross functionally to...

Location

United States , San Jose

Salary:

240840.00 - 307600.00 USD / Year

Archer Aviation

Expiration Date

Until further notice

Requirements

6+ years of experience in a similar role, 2 of which are in a data leadership role
B.S. in a quantitative discipline such as Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field
Expertise with data engineering disciplines including data warehousing, database management, ETL processes, and ML model deployment
Experience with processing and storing telemetry data
Demonstrated experience with data governance standards and practices
3+ years leading teams, including building and recruiting data engineering teams supporting diverse stakeholders
Experience with cloud-based data platforms such as AWS, GCP, or Azure

Job Responsibility

Lead and continue to build a world-class team of engineers by providing technical guidance and mentorship
Design and implement scalable data infrastructure to ingest, process, store, and access multiple data supporting flight test, manufacturing and supply chain, and airline operations
Take ownership of data infrastructure to enable a highly scalable and cost-effective solution serving the needs of various business units
Build and support the development of novel tools to enable insight and decision making with teams across the organization
Evolve data engineering and AI strategy to align with the short and long term priorities of the organization
Help to establish a strong culture of data that is used throughout the company and industry
Lead initiatives to integrate AI capabilities in new and existing tools

Fulltime

Data engineer senior

Within a dynamic, high-level team, you will contribute to both R&D and client pr...

Location

France , Paris

Salary:

Not provided

Artelys

Expiration Date

Until further notice

Requirements

Degree from a top engineering school or a high-level university program
At least 3 years of experience in designing and developing data-driven solutions with high business impact, particularly in industrial or large-scale environments
Excellent command of Python for both application development and data processing, with strong expertise in libraries such as Pandas, Polars, NumPy, and the broader Python Data ecosystem
Experience implementing data processing pipelines using tools like Apache Airflow, Databricks, Dask, or flow orchestrators integrated into production environments
Contributed to large-scale projects combining data analysis, workflow orchestration, back-end development (REST APIs and/or Messaging), and industrialisation, within a DevOps/DevSecOps-oriented framework
Proficient in using Docker for processing encapsulation and deployment
Experience with Kubernetes for orchestrating workloads in cloud-native architectures
Motivated by practical applications of data in socially valuable sectors such as energy, mobility, or health, and thrives in environments where autonomy, rigour, curiosity, and teamwork are valued
Fluency in English and French is required

Job Responsibility

Design and develop innovative and high-performance software solutions addressing industrial challenges, primarily using the Python language and a microservices architecture
Gather user and business needs to design data collection and storage solutions best suited to the presented use cases
Develop technical solutions for data collection, cleaning, and processing, then industrialise and automate them
Contribute to setting up technical architectures based on Data or even Big Data environments
Carry out development work aimed at industrialising and orchestrating computations (statistical and optimisation models) and participate in software testing and qualification

What we offer

Up to 2 days of remote work per week possible
Flexible working hours
Offices located in the city center of each city where we are located

Fulltime

Senior Data Engineer

We're seeking an experienced Senior Data Engineer to help shape the future of he...

Location

Germany , Berlin

Salary:

Not provided

Audibene GmbH

Expiration Date

Until further notice

Requirements

5+ years of hands on experience with complex ETL processes, data modeling, and large scale data systems
Production experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift) on AWS, GCP, or Azure
Proficiency in building and optimizing data transformations and pipelines in python
Experience with columnar storage, MPP databases, and distributed data processing architectures
Ability to translate complex technical concepts for diverse audiences, from engineers to business stakeholders
Experience with semantic layers, data catalogs, or metadata management systems
Familiarity with modern analytical databases like Snowflake, BigQuery, ClickHouse, DuckDB, or similar systems
Experience with streaming technologies like Kafka, Pulsar, Redpanda, or Kinesis

Job Responsibility

Design and build robust, high performance data pipelines using our modern stack (Airflow, Snowflake, Pulsar, Kubernetes) that feed directly into our semantic layer and data catalog
Create data products optimized for consumption by AI agents and LLMs where data quality, context, and semantic richness are crucial
Structure and transform data to be inherently machine readable, with rich metadata and clear lineage that powers intelligent applications
Take responsibility from raw data ingestion through to semantic modeling, ensuring data is not just accurate but contextually rich and agent ready
Champion best practices in building LLM consumable data products, optimize for both human and machine consumers, and help evolve our dbt transformation layer
Built data products for AI/LLM consumption, not just analytics dashboards

What we offer

Work 4 days a week from our office (Berlin/Mainz) with a passionate team, and 1 day a week from home
Regularly join on- and offline team events, company off-sites, and the annual audibene Wandertag
Cost of the Deutschland-Ticket covered
Access to over 50,000 gyms and wellness facilities through Urban Sports Club
Support for personal development with a wide range of programs, trainings, and coaching opportunities
Dog-friendly office

Fulltime

Senior Data Engineer

Fospha is dedicated to building the world's most powerful measurement solution f...

Location

India , Mumbai

Salary:

Not provided

Blenheim Chalcot

Expiration Date

Until further notice

Requirements

Excellent knowledge of PostgreSQL and SQL technologies
Fluent in Python
Understanding of data architecture, pipelines and ELT flows/ technology/ methodologies
Understanding of agile methodologies and practices
Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Job Responsibility

Implement and maintain ELT (Extract, Load, Transform) processes using scalable data pipelines and data architecture
Collaborate with cross-functional teams to understand data requirements and deliver effective solutions
Ensure data integrity and quality across various data sources
Support data-driven decision-making by providing clean, reliable, and timely data
Define the standards for high-quality data for Data Science and Analytics use-cases and help shape the data roadmap for the domain
Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data
Conduct exploratory data analysis to uncover data patterns and trends
Identify opportunities for process improvement and drive continuous improvement in data operations
Stay updated on industry trends, technologies, and best practices in data engineering

What we offer

Competitive salary
Be part of a leading global venture builder, Blenheim Chalcot, and learn from the incredible talent in BC
Be exposed to the right mix of challenges and learning and development opportunities
Flexible Benefits including Private Medical and Dental, Gym Subsidiaries, Life Assurance, Pension scheme etc.
25 days of paid holiday + your birthday off
Free snacks in the office
Quarterly team socials

Fulltime

Senior Data Engineer

Come work on fantastically high-scale systems with us! Blis is an award-winning,...

Location

United Kingdom , Edinburgh

Salary:

Not provided

Blis

Expiration Date

Until further notice

Requirements

5+ years direct experience delivering robust performant data pipelines within the constraints of direct SLA’s and commercial financial footprints
Proven experience in architecting, developing, and maintaining Apache Druid and Imply platforms, with a focus on DevOps practices and large-scale system re-architecture
Mastery of building Pipelines in GCP maximising the use of native and native supporting technologies e.g. Apache Airflow
Mastery of Python for data and computational tasks with fluency in data cleansing, validation and composition techniques
Hands-on implementation and architectural familiarity with all forms of data sourcing i.e streaming data, relational and non-relational databases, and distributed processing technologies (e.g. Spark)
Fluency with all appropriate python libraries typical of data science e.g. pandas, scikit-learn, scipy, numpy, MLlib and/or other machine learning and statistical libraries
Advanced knowledge of cloud based services specifically GCP
Excellent working understanding of server-side Linux
Professional in managing and updating on tasks ensuring appropriate levels of documentation, testing and assurance around their solutions

Job Responsibility

Design, build, monitor, and support large scale data processing pipelines
Support, mentor, and pair with other members of the team to advance our team’s capabilities and capacity
Help Blis explore and exploit new data streams to innovative and support commercial and technical growth
Work closely with Product and be comfortable with taking, making and delivering against fast paced decisions to delight our customers

Senior Data Engineer

Come work on fantastically high-scale systems with us! Blis is an award-winning,...

Location

India , Mumbai

Salary:

Not provided

Blis

Expiration Date

Until further notice

Requirements

5+ years direct experience delivering robust performant data pipelines within the constraints of direct SLA’s and commercial financial footprints
Proven experience in architecting, developing, and maintaining Apache Druid and Imply platforms, with a focus on DevOps practices and large-scale system re-architecture
Mastery of building Pipelines in GCP maximising the use of native and native supporting technologies e.g. Apache Airflow
Mastery of Python for data and computational tasks with fluency in data cleansing, validation and composition techniques
Hands-on implementation and architectural familiarity with all forms of data sourcing i.e streaming data, relational and non-relational databases, and distributed processing technologies (e.g. Spark)
Fluency with all appropriate python libraries typical of data science e.g. pandas, scikit-learn, scipy, numpy, MLlib and/or other machine learning and statistical libraries
Advanced knowledge of cloud based services specifically GCP
Excellent working understanding of server-side Linux
Professional in managing and updating on tasks ensuring appropriate levels of documentation, testing and assurance around their solutions

Job Responsibility

Design, build, monitor, and support large scale data processing pipelines
Support, mentor, and pair with other members of the team to advance our team’s capabilities and capacity
Help Blis explore and exploit new data streams to innovative and support commercial and technical growth
Work closely with Product and be comfortable with taking, making and delivering against fast paced decisions to delight our customers

Fulltime

Senior Data Engineer

Kloud9

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 09, 2025

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