Senior Software Engineer - Data Scientist Job at Randstad (Bengaluru)

Senior Software Engineer, Data - Advertising Engineering

We are seeking a high skilled Senior Software Engineer with deep expertise in AP...

Location

United Kingdom , Manchester

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

10+ years professional software development experience
Experience building highly scalable, low-latency REST services and API frameworks
Able to efficiently write SQL queries and analyze results to explore business problems and inquiries
Ability to translate queries and reporting requirements into production-level data processing pipelines
Proficient in day-to-day use of Python / Java / Scala
Strong understanding of and experience with distributed computing frameworks like Hive/Hadoop and Apache Spark
Expertise in data modeling, schema design, and data visualization tools
Background in computer science or similar quantitative field
Experience working in GCP and/or AWS is a plus
Experience with JavaScript, Node.js and React is nice to have

Job Responsibility

Design and build APIs and backend services using Spring Boot to support data products and analytics workflows
Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance
Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency
Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering

What we offer

Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life insurance
Accident insurance
Disability insurance
Commuter benefits
Retirement options (401(k)/pension)
Time off in accordance with local leave policies

Fulltime

Senior Software Engineer - Data Products

We are seeking a highly skilled Senior Software Engineer with deep expertise in ...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
Expertise with at least one of the following Apache Druid, StarRocks, and Trino.
Strong understanding of SOLID principles and distributed systems architecture.
Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
Advanced SQL skills, with expertise in query optimization for large datasets.
Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
Excellent verbal and written communication skills.
Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
Familiarity with additional big data technologies, including Hadoop and Kafka.

Job Responsibility

Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.

What we offer

Global access to mental health and financial wellness support and resources.
Local benefits including statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension).
Time off in accordance with local leave policies.

Fulltime

Senior Software Engineer - Data Science

Microsoft’s Azure Data engineering team is leading the transformation of analyti...

Location

Spain , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, or related technical discipline AND proven experience in industry software engineering experience
Substantial experience in programming experience as data scientist
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Design and develop world-class experience for new big data cloud offering
Plan, schedule and deliver quality software incrementally
Review changes to product codebase and provide constructive feedback that align with industry best practices
Maintain and operate cloud online services
Passion and experience for building great developer experience and user experience of modern analytics systems
Have a deep desire to work collaboratively, solve problems with teams across the world and celebrate successes
Embody our culture and values

Fulltime

Senior Software Engineer, Data Platform

We’re looking for a seasoned software engineer to join Parafin’s Infrastructure ...

Location

United States , San Francisco

Salary:

230000.00 - 265000.00 USD / Year

Parafin

Expiration Date

Until further notice

Requirements

4+ years of experience in software engineering with a strong background in data infrastructure, pipelines, and distributed systems
Advanced proficiency in Python and SQL
Hands-on Spark development experience
Expertise with modern cloud data stacks—AWS (S3, RDS), Databricks, and Airflow—and lakehouse architectures
Hands‑on experience with foundational data‑infrastructure technologies such as Hadoop, Hive, Kafka (or similar streaming platforms), Delta Lake/Iceberg, and distributed query engines like Trino/Presto
Familiarity with ingestion frameworks, developer‑experience tooling, and best practices for data versioning, lineage, partitioning, and clustering
Strong problem-solving skills and a proactive attitude toward ownership and platform health
Excellent communication and collaboration skills, especially in cross-functional settings

Job Responsibility

Design and build robust, highly scalable data pipelines and lakehouse infrastructure with PySpark, Databricks, and Airflow on AWS
Improve the data platform development experience for Engineering, Data Science, and Product by creating intuitive abstractions, self‑service tooling, and clear documentation
Own and maintain core data pipelines and models that power internal dashboards, ML models, and customer-facing products
Own the Data & ML platform infrastructure using Terraform, including end‑to‑end administration of Databricks workspaces: manage user access, monitor performance, optimize configurations (e.g., clusters, lakehouse settings), and ensure high availability of data pipelines
Lead projects to improve data quality, testing, observability, and cost efficiency across existing pipelines and backend systems (e.g., migrating Databricks SQL pipelines to dbt, scaling data ingestion, improving data-lineage tracking, and enhancing monitoring)
Act as the primary engineering partner for the Data Science team—embedded closely to gather requirements, design scalable solutions, and provide end-to-end support on all engineering aspects of their work
Work closely with backend engineers and data scientists to design performant data models and support new product development initiatives
Share best practices and mentor other engineers working on data-centric systems

What we offer

Equity grant
Medical, dental & vision insurance
Work from home flexibility
Unlimited PTO
Commuter benefits
Free lunches
Paid parental leave
401(k)
Employee assistance program

Fulltime

Senior Software Engineer, Data Platform

We are looking for an experienced software engineer to own, maintain, and evolve...

Location

United States

Salary:

107000.00 - 120000.00 USD / Year

MissionWired

Expiration Date

Until further notice

Requirements

Extensive hands-on software engineering experience, with a strong track record of delivering production data pipelines or platforms in a mission critical environment
Strong experience with Python in production systems
Experience building and operating Databricks (or Spark) based pipelines
Experience with SQL
Experience with at least one major cloud infrastructure provider (GCP, AWS, Azure)
Experience with supporting business-critical systems with on-call ownership
Passion, energy, and excitement for progressive and philanthropic causes and all things digital

Job Responsibility

Joining each and every one of your colleagues in creating an inclusive workspace
Owning, maintaining, and supporting the reliability, architecture, and evolution of our production machine learning and delivery platform
Designing, operating, and improving large scale Databricks/Spark pipelines and workflows
Partner with our data scientists to productionize new data and ML-powered products
Leading improvements on the software integration layers between data pipelines and product workflows
Growing the team via mentorship and leadership, reviewing technical documents, improving code quality, and improving team performance and processes
Acting as a senior technical owner in debugging complex production issues and improving system observability
Collaborating with cross-functional teams to support their data infrastructure needs

What we offer

100% employer-paid premiums for platinum-level medical plan on a national health care network
100% employer-paid life insurance and short term disability
50% employer-paid vision and dental insurance
401(k) with 3% employer contribution
17 vacation days in addition to 12 paid holidays, sick days, bereavement leave, and a volunteer day off
Paid parental leave at 100% of your salary
Financial support for reproductive and transgender care
Flexible telecommute and remote work policies
Company issued Mac products for home offices
Cell phone service reimbursement, meal and ride-share reimbursement, and other perks available

Fulltime

Senior Data Scientist / ML Engineer

We have a dream: to change industries through the power of digital technology. W...

Location

Bulgaria;Colombia;Croatia;Poland;Portugal;Spain;Ukraine

Salary:

Not provided

Intellias

Expiration Date

Until further notice

Requirements

Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related quantitative field
Experience: 5+ years of professional experience in machine learning engineering, AI development, or a closely related role
Machine Learning & Statistics: Solid understanding of classical ML algorithms (e.g., tree-based models, SVMs, clustering, ensemble methods), feature engineering, model evaluation metrics, and statistical methods (hypothesis testing, regression analysis, probability distributions)
LLM Expertise: Demonstrated project experience with large language models, including prompt engineering and prompt management strategies, LLM application development (end-to-end), fine-tuning of large language models, retrieval-augmented generation (RAG) pipeline design and implementation, practical experience with vector stores such as ChromaDB, pgvector, and PostgreSQL
AI Agents: Hands-on experience building AI agents and multi-agent systems using frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration frameworks
Programming: Proficiency in Python with a strong emphasis on writing clean, maintainable, production-quality code. Familiarity with software engineering best practices (testing, code review, documentation)
Cloud: Practical experience with Google Cloud Platform (GCP) services for ML workloads (e.g., Vertex AI, Cloud Run, GCS, BigQuery, Compute Engine)
DevOps & MLOps: Docker: Proficiency in containerization — building, managing, and deploying Docker images and containers. GitLab: Proficient GitLab skills for version control, merge request workflows, and repository management
API Development: Experience with FastAPI, including request validation, async handling, and integration with ML model serving
Soft Skills: Excellent communication skills, Strong work ethic and high personal accountability, Ownership mentality — takes full responsibility for deliverables and outcomes, Proactive, self-starting approach to identifying problems and driving project success without waiting for direction

Job Responsibility

Drive/Participate the ideation, development, and execution of POCs and AI related project
Develop and implement machine learning models, algorithms, and data-driven solutions to address complex business problems
Collaborate cross-functionally with engineering, product management, and other relevant teams to integrate data-driven functionalities into our products

Fulltime

Senior Software Development Engineer - Big Data

Zillow’s Comprehensive Customer Data team is part of the Data Engineering organi...

Location

Mexico , Mexico City

Salary:

Not provided

Zillow

Expiration Date

Until further notice

Requirements

A degree (BS+) in Computer Science or a related discipline
5+ years of experience with building and maintaining data-intensive applications
Experience developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliability
Experience with modern data technologies (Spark, Flink, Kafka, Airflow)
Strong background in Java or Python
Excellent interpersonal skills and passionate about collaborating across organizational boundaries

Job Responsibility

Design, implement, and take ownership of mission-critical data pipelines and data products
Collaborate with various internal teams (platform, product, other stakeholders) to scope and deliver tools ensuring ease of system use
Carefully review specifications, designs, pull requests and provide constructive/helpful feedback
Write high-quality code, refactor and optimize code for better scalability, performance, and readability
Integrate new frameworks, libraries, technologies, and components into codebase
Proactively log/collect and review metrics, monitor, alert and address issues quickly
Ensure the consistency and maintainability of existing applications adhering to standards/procedures for implementing technical solutions
Execute production/support tasks according to a documented schedule that meets or exceeds customer expectations
Support and mentor teams through design, implementation and deployment of solutions using relevant technologies
Mentor junior engineers

What we offer

competitive base salary and benefits
equity awards based on factors such as experience, performance and location

Fulltime

Senior Software Development Engineer, Big Data

The Zillow Group’s Housing Trends Data Engineering team brings innovative analys...

Location

United States

Salary:

152900.00 - 257100.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

Strong proficiency in Python programming
Hands-on experience with big data ecosystems, architectures and modern data platforms, including AWS cloud data services and Lakehouse/Lakebase platforms
Hands-on experience with Databricks is a significant advantage
Proven ability to design, build, and orchestrate batch and real-time data pipelines, processing large-scale datasets from diverse sources
Practical experience with cutting-edge data engineering technologies such as SparkSQL and Spark Streaming, PostgreSQL, EKS, and Kubernetes
Familiarity with Agile/DevOps software development processes and tools such as GitLab and CI/CD
A good understanding of data science concepts, fundamental machine learning algorithms/libraries, and development lifecycle is a must-to-have
Familiarity with LLM and Agentic AI technologies and engineering patterns is a big advantage
Strong ability in performing root cause analysis to address operational issues and identify opportunities for improvement
Exceptional communication skills to drive effective customer engagement, collaborate with cross-functional teams, and clearly articulate technical concepts to technical and non-technical stakeholders

Job Responsibility

Build data systems to link raw data and concrete Housing Trends insights
Build and extend our internal forecasting model development framework
Develop and maintain scalable data products and deliver pipelines built for speed, accuracy, and consistency that will scale as our stakeholders’ need
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability and performance, etc
Collaborate with data scientists to understand their data requirements and build systems/tools that enable efficient model training and experimentation
Implement feature stores and ETL pipelines to streamline feature engineering and model development
Build and maintain infrastructure for deploying machine learning models into production environments
Be a trusted partner for our stakeholders, such as Forecasting, Zestimates, and the ML teams within the AI organization to assist them for data investigation/publication, ML model development and infrastructure support

What we offer

Eligible for equity awards based on factors such as experience, performance and location

Fulltime

Select Country

Senior Software Engineer - Data Scientist

Requirements

Looking for more opportunities?