At Rockstar Games, we create world-class entertainment experiences.

You would be welcomed to a dedicated and inclusive environment where you can learn, and collaborate with some of the most talented people in the industry.

Rockstar is seeking a Data Engineer to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games.

This is a full-time permanent position based out of Rockstar's unique game development studio in New York, NY.

The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance.

In collaboration with other data engineers, machine learning engineers, and software engineers, the candidate will empower the team of analysts and data scientists to deliver data driven insights and applications to company stakeholders.

WHAT WE DO

• The Rockstar Analytics team provide insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.
• We are currently adding team members to multiple verticals including; Machine Learning and Game Data Pipeline.

RESPONSIBILITIES

• Implement and maintain real-time and batch Data Models.
• Deliver real-time and non-real-time data models to analysts and data scientists who create insights and analytics applications for our stakeholders.
• Implement and support streaming technologies such as Kafka, Spark, Cassandra & AzureML.
• Assist in the development of deployment automation and operational support strategies.
• Assist in the development of a big data platform in Hadoop using pipeline technologies such as Spark, Airflow, and more to support a variety of requirements and applications.
• Set the standards for warehouse and schema design in massively parallel processing engines such as Hadoop and Snowflake while collaborating with analysts and data scientist in the creation of efficient data models.
• Maintain and extend our CI / CD processes and documentation.

QUALIFICATIONS

• 3+ years of work experience with data modeling, business intelligence and machine learning on big data architectures.
• 2+ years of experience with the Hadoop ecosystem (HDFS, Spark, Oozie, Impala, etc.) and big data ecosystems (Kafka, Cassandra, etc.).
• 2+ years of experience with the Azure ecosystem (Azure ML, Azure Data Factory)
• Expert in at least one SQL language such as T-SQL or PL / SQL.
• Experience developing and managing data warehouses on a terabyte or petabyte scale.
• Strong experience in massively parallel processing & columnar databases.
• Experience building Real-Time and / or Near-Real-Time ML pipelines.
• Experience with Python, Scala, or Java.
• Experience with shell scripting.
• Experience working in a Linux environment.

SKILLS

• Deep understanding of advanced data warehousing concepts and track record of applying these concepts on the job.
• Ability to manage numerous projects concurrently and strategically, prioritizing when necessary.
• Good communication skills.
• Dynamic team player.
• A passion for technology.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience with Python based libraries such as Scikit-Learn
• Experience with Databricks
• Experience with Spark-ML, Jupyter Notebook, AzureML.
• Experience in Lambda architecture.
• Experience with CI / CD.
• Familiar with Restful APIs.
• Experience with Artifact Repositories.
• Knowledge of the video game industry.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is proud to be an equal opportunity employer, and we are committed to hiring, promoting, and compensating employees based on their qualifications and demonstrated ability to perform job responsibilities.

If you've got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, or race.

The pay range for this position in New York City at the start of employment is expected to be between the range below* per year.

However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.

Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and / or equity awards, in addition to a full range of medical, financial, and / or other benefits.

Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department / team performance, and market factors.

NYC Pay Range

$89,500-$119,400 USD

Our client is looking Data Engineer for Long Term project in Bloomfield CT, New York NY, Austin TX, Chicago IL (Initial Remote) below is the detailed requirements.

Job Title : Data Engineer

Duration : Long Term W2 Tax Term

Job description :

• Bachelor's degree in Computer science or equivalent, with minimum 9+ years of relevant experience .
• Must have experience with Pyspark, Python, Angular, SQL, Azure Databricks, Metadata.
• Knowledge of at least one component : Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL
• Expertise in ETL, API development, Microservices design and Cloud deployment solutions
• Experience in RESTful APIs using message formats such as JSON and XML
• Experience in integration technologies such as Kafka
• Experience in Python and frameworks such Flask or Django
• Experience in RDBMS and NoSQL databases
• Good understanding of SQL, T-SQL and / or PL / SQL
• Hands-on experience developing applications on AWS and / or Openshift
• Automation Skills using Infrastructure as Code
• Familiarity with creating web applications using AngularJS or React
• Familiarity with creating benchmark tests, designing for scalability and performance, and designing / integrating large-scale systems.
• Familiarity with building cloud native applications, knowledge on cloud tools such Kubernetes and Docker containers
• Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
• Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.
• Strong work ethic with good time management with ability to work with diverse teams and lead meetings.

Overview

LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services.

We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis.

Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.

This position is remote but may require travel to a client site in Washington, DC (Georgetown)*

Responsibilities

As a Data Engineer you will help develop and deploy technical solutions to solve our customers’ hardest problems, using various platforms to integrate data, transform insights, and build first-class applications for operational decisions.

You will leverage everything around you : core customer products, open source technologies (e.g. GHE), and anything you and your team can build to drive real impact.

In this role, you work with customers around the globe, where you gain rare insight into the world’s most important industries and institutions.

Each mission presents different challenges, from the regulatory environment to the nature of the data to the user population.

You will work to accommodate all aspects of an environment to drive real technical outcomes for our customers.

Core Responsibilities

• Setup transfers of data feeds from source systems into location accessible to Foundry and integrate with existing data utilizing enterprise architecture best practices
• Debug issues related to delayed or missing data feeds
• Monitor build progress and debug build problems in conjunction with deployment teams
• Using Foundry’s application development framework to design applications that address operational questions
• Rapid development and iteration cycles with SME’s including testing and troubleshooting application issues
• Executing requests for information (RFI’s) surrounding the platform’s data footprint

Qualifications

• Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline (Master’s degree preferred)
• Preferred : Interim or Active DoD Secret clearance.
• Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science.
• Proficiency with programming languages such as Python (Pyspark, Pandas) SQL, R, JavaScript, or similar languages.
• Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections
• At least 9 years of experience in the field
• Ability to work effectively in teams of technical and non-technical individuals.
• Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.
• Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision.
• Proven track-record of strong customer communications including feedback gathering, execution updates, and troubleshooting.

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LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities.

LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law.

If you are a person with a disability needing assistance with the application process, please contact

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At Fitch, we have an open culture where employees are able to exchange ideas and perspectives, throughout the organization, irrespective of their seniority.

Your voice will be heard allowing you to have a real impact. We embrace diversity and appreciate authenticity encouraging an environment where employees can be their true selves.

Our inclusive and progressive approach helps us to keep a balanced perspective. Fitch is also committed to supporting its employees by advancing conversations around diversity, equity and inclusion.

Fitch’s Employee Resource Groups (ERGs) have been established by employees who have joined together as a workplace community based on similar backgrounds or life experiences.

Fitch’s ERGs are available to connect employees with others within the organization to offer professional and personal support.

With our expertise, we are not only creating data and information, but also producing timely insights from every angle to influence decision making in this ever changing and highly competitive market.

We have a relentless hunger to innovate and unlock the power of human insights and to drive value for our customers. There has never been a better time to make an impact and we invite you to join us on this journey.

Fitch Ratings is a leading provider of credit ratings, commentary and research. Dedicated to providing value beyond the rating through independent and prospective credit opinions, Fitch Ratings offers global perspectives shaped by strong local market experience and credit market expertise.

The additional context, perspective and insights we provide have helped fund a century of growth and enables you to make important credit judgments with confidence.

At Fitch, we have an open culture where employees are able to exchange ideas and perspectives, throughout the organization, irrespective of their seniority.

Your voice will be heard allowing you to have a real impact. We embrace diversity and appreciate authenticity, employees work in an environment where they can be their true selves.

Our inclusive and progressive approach helps us to keep a balanced perspective.

With our expertise, we are not only creating data and information, but also producing timely insights from every angle to influence decision making in this everchanging and highly competitive market.

We have a relentless hunger to innovate and unlock the power of human insights and to drive value for our customers. There has never been a better time to make an impact and we invite you to join us on this journey.

Fitch is seeking a strong Data Engineer to improve critical data systems used widely by internal and external stakeholders.

The ideal candidate is someone who :

• Has 5+ years of data engineering experience developing large data pipelines
• Has Strong experience developing in Python.& Java
• Has Strong Experience with relational SQL and NoSQL databases

Roles & Responsibility

• Build data pipelines and applications to stream and process datasets at low latencies.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, NoSQL, Kafka using AWS Big Data technologies.
• Collaborate with Data Product Managers, Data Architects, and other Data Engineers to design, implement, and deliver successful data solutions.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Track data lineage, ensure data quality and improve discoverability of data.
• Work in Agile Environment (Scrum) and interact with multi-functional teams (Product Owners, Scrum Masters, Developers, Designers, Data Analysts)

Required Skills

• Strong experience developing in Python & Java.
• 5+ years of data engineering experience developing large data pipelines
• Strong SQL and NoSQL skills and ability to create queries to extract data and build performant datasets.
• Hands-on experience with message queuing and stream data processing (Kafka Streams).

Desirable Skills

• Experience with relational SQL and NoSQL databases, any RDBMS (Oracle, Postgres) and NoSQL (Cassandra, Mongo, or Redis, etc.).
• Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data.
• Strong analytic skills related to working with unstructured datasets.
• Hands-on experience in using AWS cloud services : EC2, Lambda, S3, Athena, Glue, and EMR
• Redshift / Snowflake
• Experience in the Financial Services industry

Person specification

• Excellent problem solving and analytical skills
• Highly motivated to deliver results and meet deadlines

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Posted byPython US RecruiterFourier has partnered with several World Leading Hedge Funds, Prop Traders, and Market Makers in a search for elite and eager Data Engineers to join them.

Our clients are looking for the best data engineers in the industry with a proven track record of delivering scalable and robust data systems and are driven by solving the seemingly unsolvable problems.

They are looking for individuals who are driven and motivated but most importantly - excited by Data!

Do you love working with Python and have experience managing ETL pipelines, building a scalable distributed data platform or deriving insights from alternative data sets?

Do you have an affinity for learning new technologies and always looking to broaden your existing technical knowledge?

These clients are at the pinnacle of finance, and therefore leadingpensation packages should be expected.