Data Science Software Engineer Jobs

Experience programming in a compiled language like C/C++, Rust, C#, Java or Go

Work collaboratively with a team on shared work using strong written and oral communication skills

BS in Computer Science or equivalent experience

Collaborate with and provide technical leadership to team members on architecture and design of new/updated features

Contribute to feature development and testing using languages like C and Rust

Participate in team SDLC processes like stand-ups/reviews/pair programming/etc. and improve them as appropriate

5+ years of hands-on experience in big-data field: HDFS, Spark, SQL, Airflow, Kafka, batch & streaming.

Excellent knowledge of Scala or Java.

Experience with critically important and high performance distributed systems.

Excellent communication skills, teamwork, and proven ability to work in a multi-functional environment.

Proven track record designing, launching and scaling production quality data pipelines.

Deep understanding of computer science fundamentals: complexity and data structures.

Experience in Linux or Unix development environment.

Experience with software development tools (IDE, git) and software development life cycle.

Extensive knowledge of IR Design, Query Optimization, Scheduling, Runtime.

Experience in distributed systems is an asset.

Experience in development or research of data analytics frameworks (such as Spark, Flink) is an asset.

Design, develop framework/engine for the next-generation data analytics.

Experience in a remote environment is a plus

Experience in any of Airflow, Snowflake, Postgres, and Typescript is a plus Experience in developing accounting/financial software is a plus

Participate in day-to-day technical decision-making and execution within the Data team Plan, design, and execute against product and engineering priorities

Participate in the agile development process

Participate in the code-review process for the Data team

Contribute individually to the code base and product

Expert knowledge of relational database modeling concepts, SQL skills, proficiency in query performance tuning, and desire to share knowledge with others.

3-5 years minimum experience in a production level Data Engineering role building pipelines using Python.

You value the importance of defining data contracts, and have experience writing specifications including REST APIs.

Experience moving trained machine learning models into production data pipelines.

Experience building cloud-native applications and supporting technologies / patterns / practices including: AWS, Docker, CI/CD, DevOps, and microservices.

You have implemented analytics applications using multiple database technologies, such as relational, multidimensional (OLAP), key-value, document, or graph.

Minimum 2 years of related experience.

Coachable, fast learner who can pick up new skills and processes quickly

Analytical mindset with a skillset focused on extracting & analyzing data

Knowledge of programming languages SQL, PowerQuery M, R, or Python

Knowledge of Microsoft Power Platform Power BI/Automate/Apps

Support the Data Team with deep ad-hoc analysis that will drive performance and keep Sales and Customer teams accountable

Bachelor's degree or equivalent experience

5+ years industry experience, 7+ preferred

Experience building large cloud-based data services

Knowledge of at least one of Golang (preferred), C++, or Rust

Experience with API design and development

Experience with Azure or AWS Database Services

Knowledge of data management fundamentals and data storage principles

3+ years of non-internship professional software development experience

2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Experience programming with at least one software programming language

Experience using big data technologies (Spark, EMR, Presto, etc.)

Knowledge of distributed systems as it pertains to data storage and computing

Experience working with product owners to understand and implement business requirements

2+ years of programming experience, ideally in a compiled language (C#, Java, Go, etc.).

Experience developing and extending systems of moderate complexity

Practical experience writing Map/Reduce, Spark or Hive/Presto or using a machine learning frameworks

Experience working well in a very fast-paced and continuously changing environment

Create high quality, maintainable code that processes and analyzes almost 400 million events daily (and doubling every year)

Knowledge and experience in Agile/Scrum development

You are a great teammate who enjoys collaborating with others to build rich end-to-end experiences

4+ years of experience building web applications with React

Strong understanding of Javascript. Experience with Typescript is a plus.

Experience with writing unit and integration tests

You love working on complex technical projects

Unrivalled bonus, exceptional benefits package - 20/30% greater than FAANG companies

Minimum 2+ years in Data Engineering - experience with building ETL pipelines is essential

Multi-threading, distributed systems, low latency experience

This includes building pipelines/warehouses, libraries, frameworks and much more.

Tons of project work with your own ownership, working with the smartest Quant Researchers in the country.

This firm poaches from other trading firms, and also tech firms among the likes of Bloomberg, Google, Apple etc.

Delve deep into the user experience side to envision the next generation architecture of the tool suite

Use your experience to help define and apply best practices for a broad platform of technologies in a cloud-based environment

Partner with the Engineering Manager and other Tech Leads to recruit and build the team

5+ years of experience working as a professional developer in cloud and data.

Experience with full-stack development (we currently use Django, React, and Postgres)

Experience with data processing engines (we use Beam and Big Query)

- Translate business needs into AI/ML problems and create innovative solutions to advance our business goals

- Evaluate the performance of AI models and make tradeoffs against quality metrics

Investigate, and resolve performance issues in a timely manner

- Bachelor’s or Master’s degree in Mathematics, ML, statistics, Computer Science, Software/Data Engineering, or a related field

- Strong mathematical background in probability, statistics, and optimization algorithms.

- Deep understanding of and have applied various machine learning techniques for solving real-world problems.

You’ll get to apply your software knowledge, skill and gain mastery

Knowledge/experience in object-oriented design, data structures and algorithms

Experience in relational database (Postgres, Oracle, MySQL)

Detail oriented and strong analytical skills

Strong communication skills and ability to articulate complex ideas and concepts

Experience building full stack application

Have a strong background in developing distributed systems with experience in scalable data pipelines

Experience with RESTful APIs and server-side APIs integration

Experience with CI/CD pipeline orchestration, leveraging Gitlab, Helm, and Terraform

Experience with administration of Docker or Kubernetes infrastructure

Appreciate the importance of excellent documentation and data debugging skills.

Excel at taking vague requirements and crystallizing them into scalable data solutions

BA/BS degree in Computer Science, Electrical Engineering, or equivalent practical experience in software engineering.

At least 5 years experience as a software engineer in an industry setting.

Demonstrated experience with Go, Java, Python, and/or SQL.

Experience with designing and implementing scalable data processing pipelines with Bioquery or other analytics-oriented databases.

Education or exposure to healthcare or life sciences, with emphasis on HL7 FHIR.

Work closely with the development team to design, develop, and deliver new software features across the Verily tech stack.

Experience building out ETL pipelines from scratch

Experience in financial market is desirable

Demonstrable interest in tech, in the form of personal projects or hackathons is preferred

Job title: Software Engineer- Up to CAD$150,000 + Bonus + Package

Salary: Up to CAD$150,000 + Bonus + Package

· Python data pipelines, frameworks, and services design, implementation, testing, optimisation, and troubleshooting.

You’ll get to apply your software knowledge, skill and gain mastery

Knowledge/experience in object-oriented design, data structures and algorithms

Experience in relational database (Postgres, Oracle, MySQL)

Detail oriented and strong analytical skills

Strong communication skills and ability to articulate complex ideas and concepts

Experience building full stack application

We’re huge on professional development, and so there’s always a training class, hackathon, or an internal course being offered.

Experience To create dashboards and visual interactive reports using Power BI and DAX functions

Thorough understanding of Azure Cloud Infrastructure offerings

Knowledge of Microsoft BI Stack (SSRS/SSAS (Tabular with DAX & OLAP with MDX) SSIS) is desirable.

Good to have Experience with Spark, DataBricks and/or similar tools

Have a look at a video by our Engineering department: https://www.youtube.com/watch?v=BeeSn3lzkwc&list=PLwERWsJLXEnEz9j8IwqjUWfqCzQ1SbvGL&index=7

Work with a first version of requirements provided by the PM

Experience designing data workflows from scratch

Strong experience in data modelling and schema design, with relational or non relational databases

Experience integrating and configuring large volume datastores such as vector or graph databases(Pinecone, Milvus, Neo4J etc)

Experience Scaling data processing pipelines for multi tenancy use cases

Experience working with real time data systems with technologies such as Kafka, Flink, Pubsub, etc