Spark Engineer Job at Bright Vision Technologies (Bridgewater)

Senior Data Engineer

Are you an experienced Data Engineer ready to tackle complex, high-load, and dat...

Location

Salary:

Not provided

Sigma Software Group

Expiration Date

Until further notice

Requirements

Apache Spark / expert
Python / expert
SQL / expert
Kafka / good
Data Governance (Apache Ranger/Atlas) / good

What we offer

Diversity of Domains & Businesses
Variety of technology
Health & Legal support
Active professional community
Continuous education and growing
Flexible schedule
Remote work
Outstanding offices (if you choose it)
Sports and community activities

Fulltime

Senior Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

146000.00 - 198000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5+ years of professional experience building end-to-end data pipelines
Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
Strong SQL (Presto, Spark SQL, etc) skills
Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
Expert collaborator with the ability to democratize data through actionable insights and solutions

Job Responsibility

Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
Partner with upstream engineering teams to enhance data generation patterns
Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
Ideate and contribute to shared data engineering tooling and standards
Define and promote data engineering best practices across the company

What we offer

Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
Bonus opportunities
Equity

Fulltime

Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...

Location

Canada , Toronto

Salary:

124000.00 - 145000.00 CAD / Year

Robinhood

Expiration Date

Until further notice

Requirements

3+ years of professional experience building end-to-end data pipelines
Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
Strong SQL (Presto, Spark SQL, etc) skills
Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
Expert collaborator with the ability to democratize data through actionable insights and solutions

Job Responsibility

Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
Partner with upstream engineering teams to enhance data generation patterns
Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
Ideate and contribute to shared data engineering tooling and standards
Define and promote data engineering best practices across the company

What we offer

bonus opportunities
equity
benefits

Fulltime

Data Engineer

Join Inetum as a Data Engineer to lead the design, development, and maintenance ...

Location

Spain , Madrid

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Spark on Scala
CI/CD tools (Gitlab, Jenkins…)
S3 storage / COS and parque format
Strong Knowledge of SQL and NoSQL databases
Hadoop
Apache Airflow
Shell script
Software Development Lifecycle (SDLC) awareness
Agile principles and ceremonies
Kubernetes containerization

Job Responsibility

Lead the design, development, and maintenance of scalable data pipelines and systems and guidelines according to the customers’ needs
Collaborate with cross-functional teams to understand data requirements and deliver solutions
Ensure the performance, security of the data infrastructure and the data quality/integrity
Optimize data workflows for performance and efficiency to enrich and transform large volumes of data with complex business rules
Automate data pipelines and streamline data ingestion through the implementation of different orchestrators and scheduling processes (Airflow as a Service mainly)
Designing and implementing scalable and secure data processing pipelines using Scala, Spark, Cloud Object Storage (COS)
Set up CI/CD pipelines to automate deployments, unit testing and development management
Write and conduct unit and validation tests to ensure accuracy and integrity of code developed
Write technical documentation (specifications and operational documents) to ensure knowledge capitalization
Support the different teams in troubleshoot and resolution of data-related issues

Fulltime

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

Software Engineer (Data Engineering)

We are seeking a Software Engineer (Data Engineering) who can seamlessly integra...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

4+ years in Data Engineering and AI/ML roles
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Python, SQL, Bash, PySpark, Spark SQL, boto3, pandas
Apache Spark on EMR (driver/executor model, sizing, dynamic allocation)
Amazon S3 (Parquet) with lifecycle management to Glacier
AWS Glue Catalog and Crawlers
AWS Step Functions, AWS Lambda, Amazon EventBridge
CloudWatch Logs and Metrics, Kinesis Data Firehose (or Kafka/MSK)
Amazon Redshift and Redshift Spectrum
IAM (least privilege), Secrets Manager, SSM

Job Responsibility

Design, build, and maintain scalable ETL and ELT pipelines for large-scale data processing
Develop and optimize data architectures supporting analytics and ML workflows
Ensure data integrity, security, and compliance with organizational and industry standards
Collaborate with DevOps teams to deploy and monitor data pipelines in production environments
Build predictive and prescriptive models leveraging AI and ML techniques
Develop and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-learn
Perform feature engineering, statistical analysis, and data preprocessing
Continuously monitor and optimize models for accuracy and scalability
Integrate AI-driven insights into business processes and strategies
Serve as the technical liaison between NStarX and client teams

What we offer

Competitive salary and performance-based incentives
Opportunity to work on cutting-edge AI and ML projects
Exposure to global clients and international project delivery
Continuous learning and professional development opportunities
Competitive base + commission
Fast growth into leadership roles

Fulltime

Software Engineer - Data Engineering

Akuna Capital is a leading proprietary trading firm specializing in options mark...

Location

United States , Chicago

Salary:

130000.00 USD / Year

AKUNA CAPITAL

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field
5+ years of professional experience developing software applications
Java/Scala experience required
Highly motivated and willing to take ownership of high-impact projects upon arrival
Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino
Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements
Must possess excellent communication, analytical, and problem-solving skills
Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary
Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects
The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role

Job Responsibility

Work within a growing Data Engineering division supporting the strategic role of data at Akuna
Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows
Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects
Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark
Mentor junior engineers in software and data engineering best practices
Produce clean, well-tested, and documented code with a clear design to support mission critical applications
Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data quality, data availability and data correctness
Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack

What we offer

Discretionary performance bonus
Comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits

Fulltime

Palantir Data Engineer

We are seeking an experienced Palantir Data Engineer to support large-scale tran...

Location

Romania

Salary:

Not provided

Airswift Sweden

Expiration Date

Until further notice

Requirements

Proven experience with Palantir and Spark in large transformation projects
Strong background in data engineering, data modelling, and data quality
Proficiency with Git and automated testing frameworks
Familiarity with data catalogue tools

Job Responsibility

Design and implement data pipelines within Palantir and Spark environments
Develop and maintain data models, catalogues, and quality frameworks
Collaborate on workshops and AIP Logic initiatives (Agentic AI advantageous)
Integrate automated testing and version control (Git) into workflows
Support ontology development and chatbot integration
Contribute to front-end applications using React and TypeScript

Fulltime

Spark Engineer

Bright Vision Technologies

Location:
United States , Bridgewater

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 13, 2026

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